Chemical biology is a scientific discipline spanning the fields of chemistry and biology that involves the application of chemical techniques and tools, often compounds produced through synthetic chemistry, to the study and manipulation of biological systems. This is a subtle difference from biochemistry, which is classically defined as the study of the chemistry of biomolecules. For example, a biochemist would seek to understand the three-dimensional structure of a protein and how that structure relates to the chemistry of the protein. Also, Biochemistry studies the inhibition and activation of enzymes and receptors with small organic molecules, also known as inhibitors or activators. This is known from most text-books of biochemistry. Chemical biologists attempt to utilize chemical principles to modulate systems to either investigate the underlying biology or create new function. In this way, the research done by chemical biologists is often closer related to that of cell biology than biochemistry. In short, biochemists deal with the chemistry of biology, chemical biologists deal with chemistry applied to biology. This may make it an subsidiary discipline of pharmacology.
Some forms of chemical biology attempt to answer biological questions by directly probing living systems at the chemical level. In contrast to research using biochemistry, genetics, or molecular biology, where mutagenesis can provide a new version of the organism or cell of interest, chemical biology studies sometime probe systems in vitro and in vivo with small molecules that have been designed for a specific purpose or identified on the basis of biochemical or cell-based screening.
Chemical biology is one of many interfacial sciences that are characteristic of a general trend away from older, reductionist fields toward those whose goals are to achieve a description of scientific holism. In this sense, it is related to other fields such as proteomics. Chemical biology has historical and philosophical roots in medicinal chemistry, supramolecular chemistry (particularly host-guest chemistry), bioorganic chemistry, pharmacology, genetics, biochemistry, and metabolic engineering.
Systems of interest
Proteomics investigates the proteome, the set of expressed proteins at a given time under defined conditions. As a discipline, Proteomics has moved past rapid protein identification and has developed into a biological assay for quantitative analysis of complex protein samples by comparing protein changes in differently perturbed systems. Current goals in proteomics include determining protein sequences, abundance and any post-translational modifications. Also of interest are protein-protein interactions, cellular distribution of proteins and understanding protein activity. Another important aspect of proteomics is the advancement of technology to achieve these goals.
Protein levels, modifications, locations and interactions are complex and dynamic properties. With this complexity in mind, experiments need to be carefully designed to answer specific questions especially in the face of the massive amounts of data that are generated by these analyses. The most valuable information comes from proteins that are expressed differently in a system being studied. These proteins can be compared relative to each other using quantitative proteomics which allows a protein to be labeled with a mass tag. Proteomic technologies must be sensitive and robust, it is for these reasons, the mass spectrometer has been the workhorse of protein analysis. The high precision of mass spectrometry can distinguish between closely related species and species of interest can be isolated and fragmented within the instrument. Its applications to protein analysis was only possible in the late 1980s with the development of protein and peptide ionization with minimal fragmentation. These breakthroughs were ESI and MALDI. Mass spectrometry technologies are modular and can be chosen or optimized to the system of interest.
Chemical biologists are poised to impact proteomics through the development of techniques, probes and assays with synthetic chemistry for the characterization of protein samples of high complexity. These approaches include the development of enrichment strategies, chemical affinity tags and probes.
Samples for Proteomics contain a myriad of peptide sequences, the sequence of interest may be highly represented or of low abundance. However, for successful MS analysis the peptide should be enriched within the sample. Reduction of sample complexity is achieved through selective enrichment using affinity chromatography techniques. This involves targeting a peptide with a distinguishing feature like a biotin label or a post translational modification. Interesting methods have been developed that include the use of antibodies, lectins to capture glycoproteins, immobilized metal ions to capture phosphorylated peptides and suicide enzyme substrates to capture specific enzymes. Here, chemical biologists can develop reagents to interact with substrates, specifically and tightly, to profile a targeted functional group on a proteome scale. Development of new enrichment strategies is needed in areas like non ser/thr/tyr phosphorylation sites and other post translational modifications. Other methods of decomplexing samples relies on upstream chromatographic separations.
Chemical synthesis of affinity tags has been crucial to the maturation of quantitative proteomics. iTRAQ, Tandem mass tags (TMT) and Isotope-coded affinity tag (ICAT) are protein mass-tags that consist of a covalently attaching group, a mass (isobaric or isotopic) encoded linker and a handle for isolation. Varying mass-tags bind to different proteins as a sort of footprint such that when analyzing cells of differing perturbations, the levels of each protein can be compared relatively after enrichment by the introduced handle. Other methods include SILAC and heavy isotope labeling. These methods have been adapted to identify complexing proteins by labeling a bait protein, pulling it down and analyzing the proteins it has complexed. Another method creates an internal tag by introducing novel amino acids that are genetically encoded in prokaryotic and eukaryotic organisms. These modifications create a new level of control and can facilitate photocrosslinking to probe protein-protein interactions. Additionally, keto, acetylene, azide, thioester, boronate and dehydroalanine containing amino acids can be used to selectively introduce tags, and novel chemical functional groups into proteins.
To investigate enzymatic activity as opposed to total protein, activity-based reagents have been developed to label the enzymatically active form of proteins (see Activity-based proteomics). For example, serine hydrolase- and cysteine protease-inhibotrs have been converted to suicide inhibitors. This strategy enhances the ability to selectively analyze low abundance constituents through direct targeting. Structures that mimic these inhibitors could be introduced with modifications that will aid proteomic analysis- like an identification handle or mass tag. Enzyme activity can also be monitored through converted substrate. This strategy relies on using synthetic substrate conjugates that contain moieties that are acted upon by specific enzymes. The product conjugates are then captured by an affinity reagent and analyzed. The measured concentration of product conjugate allow the determination of the enzyme velocity. Identification of enzyme substrates (of which there may be hundreds or thousands, many of which are unknown) is a problem of significant difficulty in proteomics and is vital to the understanding of signal transduction pathways in cells; techniques for labelling cellular substrates of enzymes is an area chemical biologists can address. A method that has been developed uses "analog-sensitive" kinases to label substrates using an unnatural ATP analog, facilitating visualization and identification through a unique handle.
While DNA, RNA and proteins are all encoded at the genetic level, there exists a separate system of trafficked molecules in the cell that are not encoded directly at any direct level: sugars. Thus, glycobiology is an area of dense research for chemical biologists. For instance, live cells can be supplied with synthetic variants of natural sugars in order to probe the function of the sugars in vivo. Carolyn Bertozzi at University of California, Berkeley has developed a method for site-specifically reacting molecules the surface of cells that have been labeled with synthetic sugars.
Some chemical biologists use automated synthesis of many diverse compounds in order to experiment with effects of small molecules on biological processes. More specifically, they observe changes in the behaviors of proteins when small molecules bind to them. Such experiments may supposedly lead to discovery of small molecules with antibiotic or chemotherapeutic properties. These approaches are identical to those employed in the discipline of Pharmacology.
Chemical biologists are also interested in developing new small-molecule and biomolecule-based tools to study biological processes, often by molecular imaging techniques. The field of molecular sensing was popularized by Roger Tsien's work developing calcium-sensing fluorescent compounds as well as pioneering the use of GFP, for which he was awarded the 2008 Nobel Prize in Chemistry. Today, researchers continue to utilize basic chemical principles to develop new compounds for the study of biological metabolites and processes.
siRNA-A tool in chemical biology
siRNA or small interfering RNAs owe their origins to the difficulties the scientific community faced utilizing classical and reverse genetics methods in studying gene expression. Disrupting genes to study their functions is not always optimal; neither is mapping mutations back to their genes easy. The whole process is expensive as well as time-consuming which is why a lot of effort has been devoted to develop methods to silence gene expression in sequence specific manner using nucleic acids. They have the potential to be powerful tools in the field of chemical biology to study the chemistry of gene expression in therapeutic targets of bacteria and viruses.
A number of different types of nucleic acid molecules have already gained prominence because of their potential as therapeutics. They target mRNAs to silence the genes in a sequence specific manner. Oligodeoxyribonucleic acids, ODNs  utilize steric interaction to silence gene expression. They can also form triple helices in conjunction with the DNA duplex. Whereas ribozymes  can be chemically designed to target specific genes and cleave them in a sequence specific manner. The most promising of these methods however is utilization of short interfering RNA or siRNA to silence gene expression.
siRNA or short interfering RNAs exist in nature as a means for the express purpose of controlling gene expression.
It was discovered in petunia as a post-transcriptional gene silencing measure. It is the resultant product when a long double stranded RNA of 20 -25 nucleotides length was processed in the cells by the enzyme DICER. The newly synthesized siRNA assemble into endoribonuclease-containing complexes known as RNA-induced silencing complexes (RISCs), unwinding in the process. The activated RISC then binds to the complementary RNA molecules by base pairing interactions between the siRNA strand and the mRNA, which is then cleaved. This mechanism is known as RNA interference or RNAi.
Designing and synthesizing siRNAs
It is now possible to order siRNAs designed and synthesized with the express purpose of targeting a particular sequence.
The ambion website has a lot of information on the optimal design of siRNAs.
siRNAs can be synthesized chemically, or enzymatically. RNase III or DICER can be used to cleave the long dsRNAs to produce siRNAs. However the most expedient method is the use of plasmids to express them in vivo by delivering them into the target cell using vectors. This method allows the siRNAs to be expressed in the target cell stably, over a period of time and overcomes the drawbacks of the transience of their effect. Numerous strategies have been developed in order to deliver the siRNA into the cell efficiently:
- Local and systemic injection: This method was the first success scientists had in silencing genes using siRNAs. They were successfully delivered into highly vascularized tissue in mice through using high-pressure tail vein injection. Greater than 90% loss in gene expression was observed in the targets.
- siRNA producing viruses: This method shows great promise in gene therapy and research is progressing in order to generate recombinant viruses which can produce siRNA in target cells.
- Small molecules which enhance transdermal penetration: Research in this field is moving at a fast pace in order to synthesize small organic molecules which if injected in conjunction with siRNAs can help them penetrate into the target cells.
=====Biological uses of the RNAi approach===== 
The principle purpose of studying siRNA mediated RNA interference is probably to investigate gene function. It is so much easier to make genetic knock-outs by simply introducing sequence specific siRNAs into cells, multicopy genes can be silenced in one fell swoop by this method. Creation of double-knockout mutants is also easier and consumes much less time. Using local injections in specific regions of the model organisms also help in creating spatially separated and restricted knockout. siRNAs are also being successfully used to screen whole genomes in organisms such as C. elegans & Drosophilla melanogaster. Even in mammalian systems such as Danio rerio (zebrafish) that usually prove intractable to all gene silencing methods, even dsRNA injection, siRNA can do the job. It is paving a new way in development of therapeutics by identifying human gene orthologs in other species in a remarkably short period of time.
Numerous high throughput screening approaches are being developed to screen large libraries of cells rapidly in order to identify drug targets.
 A brief description of few of the screening techniques:
- Pooled Format Screening: A reagent library of RNAi has to be introduced to the cells so that a particular cell is in one particular reagent. The primary hits are then identified and their identity elucidate by sequencing techniques.
- Arrayed Format Screening: Each RNAi reagent is placed in separate wells in a plate and multiple manipulations can be done to identify their targets, which are then detected by fluorescence readouts, imaging techniques and other methods as well. Thus the identity of the target cell can be determined through the identity of the reagent in the database.
- Multiplexed methods: A combination of various assays can be used for high-throuput screening of candidate drug targets. For example, candidate genes can be identified through informatics based methods and then screened against a library of reagents. Many other such methods are being developed in order to make the job of screening therapeutic targets easier.
=====siRNA based therapeutics:===== 
The future in this field rests in the development of siRNA based drugs. This could prove to be a powerful tool in gene based therapy. Research is now concentrated on developing strategies to design siRNA therapeutics for clinical use. A brief description of some novel strategies for siRNA drug development is provided here:
- Direct Mutation Targeting: The siRNAs are designed to perfectly match mutant alleles but contain one or more mismatches with wild-type alleles, leading to specific degradation of the matching, mutant transcripts.
- Indirect Mutation Targeting: The siRNA approach will not work if the mutant alleles are too similar to wild type. So an indirect approach is taken in which siRNAs are designed against disease linked markers such as SNP variations. The ones that are screened as positive are targeted for degradation.
- Exon specific targeting: siRNAs are designed to target expressed regions (exons) of the gene.
- Targeting exon skipped transcripts: If the problem in the gene lies in aberrant splicing post-transcription, siRNA can be designed to target the unnatural exon-exon interface arising as a result of such alternative splicing.
It is remarkable how much progress this field has made in a remarkably short time. Considering the fact that siRNA was first discovered only in the early 90s by Dr. David Baulcombe in co suppression of purple color in petunias, the field has risen to the limelight in a meteoric pace particularly owing to the ward of the Nobel Prize in Medicine/Physiology to Dr. Andrew Fire and Craig Mello in 2006. With two siRNA based drugs in clinical trial stages this field shows remarkable promise for the future.
Many research programs are also focused on employing natural biomolecules to perform a task or act as support for a new chemical method or material. In this regard, researchers have shown that DNA can serve as a template for synthetic chemistry, self-assembling proteins can serve as a structural scaffold for new materials, and RNA can be evolved in vitro to produce new catalytic function.
Protein misfolding and aggregation as a cause of disease
A common form of aggregation is long, ordered spindles called amyloid fibrils which are implicated in Alzheimer’s disease which have been shown to consist of cross-linked beta sheet regions perpendicular to the backbone of the polypeptide. Another form of aggregation occurs with prion proteins, the glycoproteins found with Creutzfeldt-Jakob disease and bovine spongiform encephalopathy. In both structures, aggregation occurs through hydrophobic interactions and water must be excluded from the binding surface before aggregation can occur. A movie of this process can be seen in "Chemical and Engineering News". The diseases associated with misfolded proteins are life-threatening and extremely debilitating which makes them an important target for chemical biology research.
Through the transcription and translation process, DNA encodes for specific sequences of amino acids. The resulting polypeptides fold into more complex secondary, tertiary, and quaternary structures to form proteins. Based on both the sequence and the structure, a particular protein is conferred its cellular function. However, sometimes the folding process fails due to mutations in the genetic code and thus the amino acid sequence or due to changes in the cell environment (e.g. pH, temperature, reduction potential, etc.). Misfolding occurs more often in aged individuals or in cells exposed to a high degree of oxidative stress, but a fraction of all proteins misfold at some point even in the healthiest of cells.
Normally when a protein does not fold correctly, molecular chaperones in the cell can encourage refolding back into its active form. When refolding is not an option, the cell can also target the protein for degradation back into its component amino acids via proteolytic, lysosomal, or autophagic mechanisms. However, under certain conditions or with certain mutations, the cells can no longer cope with the misfolded protein(s) and a disease state results. Either the protein has a loss-of-function, such as in cystic fibrosis, in which it loses activity or cannot reach its target, or the protein has a gain-of-function, such as with Alzheimer’s disease, in which the protein begins to aggregate causing it to become insoluble and non-functional.
Protein misfolding has previously been studied using both computational approaches as well as in vivo biological assays in model organisms such as Drosophila melanogaster and C. elegans. Computational models use a de novo process to calculate possible protein structures based on input parameters such as amino acid sequence, solvent effects, and mutations. This method has the shortcoming that the cell environment has been drastically simplified, which limits the factors that influence folding and stability. On the other hand, biological assays can be quite complicated to perform in vivo with high-throughput like efficiency and there always remains the question of how well lower organism systems approximate human systems.
Dobson et al. propose combining these two approaches such that computational models based on the organism studies can begin to predict what factors will lead to protein misfolding. Several experiments have already been performed based on this strategy. In experiments on Drosophila, different mutations of beta amyloid peptides were evaluated based on the survival rates of the flies as well as their motile ability. The findings from the study show that the more a protein aggregates, the more detrimental the neurological dysfunction. Further studies using transthyretin, a component of cerebrospinal fluid which binds to beta amyloid peptide deterring aggregation but can itself aggregate especially when mutated, indicate that aggregation prone proteins may not aggregate where they are secreted and rather are deposited in specific organs or tissues based on each mutation. Kelly et al. have shown that the more stable, both kinetically and thermodynamically, a misfolded protein is the more likely the cell is to secrete it from the endoplasmic reticulum rather than targeting the protein for degradation. Additionally, the more stress that a cell feels from misfolded proteins, the more probable new proteins will misfold. These experiments as well as others having begun to elucidate both the intrinsic and extrinsic causes of misfolding as well as how the cell recognizes if proteins have folded correctly.
As more information is obtained on how the cell copes with misfolded proteins, new therapeutic strategies begin to emerge. An obvious path would be prevention of misfolding. However, if protein misfolding cannot be avoided, perhaps the cell’s natural mechanisms for degradation can be bolstered to better deal with the proteins before they begin to aggregate. Before these ideas can be realized, many more experiments need to be done to understand the folding and degradation machinery as well as what factors lead to misfolding. More information about protein misfolding and how it relates to disease can be found in the recently published book by Dobson, Kelly, and Rameriz-Alvarado entitled Protein Misfolding Diseases Current and Emerging Principles and Therapies.
Chemical synthesis of peptides
In contrast to the traditional biotechnological practice of obtaining peptides or proteins by isolation from cellular hosts through protein expression, advances in chemical techniques for the synthesis and ligation of peptides has allowed for the total synthesis of some peptides and proteins. Chemical synthesis of proteins is a valuable tool in chemical biology as it allows for the introduction of non-natural amino acids as well as residue specific incorporation of “posttranslational modifications” such as phosphorylation, glycosylation, acetylation, and even ubiquitination. These capabilities are valuable for chemical biologists as non-natural amino acids can be used to probe and alter the functionality of proteins, while post translational modifications are widely known to regulate the structure and activity of proteins. Although strictly biological techniques have been developed to achieve these ends, the chemical synthesis of peptides often has a lower technical and practical barrier to obtaining small amounts of the desired protein. Given the widely recognized importance of proteins as cellular catalysts and recognition elements, the ability to precisely control the composition and connectivity of polypeptides is a valued tool in the chemical biology community and is an area of active research.
While chemists have been making peptides for over 100 years, the ability to efficiently and quickly synthesize short peptides came of age with the development of Bruce Merrifield’s solid phase peptide synthesis (SPPS). Prior to the development of SPPS, the concept of step-by-step polymer synthesis on an insoluble support was without chemical precedent. The use of a covalently bound insoluble polymeric support greatly simplified the process of peptide synthesis by reducing purification to a simple “filtration and wash” procedure and facilitated a boom in the field of peptide chemistry. The development and “optimization” of SPPS took peptide synthesis from the hands of the specialized peptide synthesis community and put it into the hands of the broader chemistry, biochemistry, and now chemical biology community. SPPS is still the method of choice for linear synthesis of polypeptides up to 50 residues in length and has been implemented in commercially available automated peptide synthesizers. One inherent shortcoming in any procedure that calls for repeated coupling reactions is the buildup of side products resulting from incomplete couplings and side reactions. This places the upper bound for the synthesis of linear polypeptide lengths at around 50 amino acids, while the “average” protein consists of 250 amino acids. Clearly, there was a need for development of “non-linear” methods to allow synthetic access to the average protein.
Although the shortcomings of linear SPPS were recognized not long after its inception, it took until the early 1990s for effective methodology to be developed to ligate small peptide fragments made by SPPS, into protein sized polypeptide chains (for recent review of peptide ligation strategies, see review by Dawson et al. ). The oldest and best developed of these methods is termed native chemical ligation. Native chemical ligation was unveiled in a 1994 paper from the laboratory of Stephen B. H. Kent. Native chemical ligation involves the coupling of a C-terminal thioester and an N-terminal cysteine residue, ultimately resulting in formation of a “native” amide bond. Further refinements in native chemical ligation have allowed for kinetically controlled coupling of multiple peptide fragments, allowing access to moderately sized peptides such as an HIV-protease dimer and human lysozyme. Even with the successes and attractive features of native chemical ligation, there are still some drawbacks in the utilization of this technique. Some of these drawbacks include the installation and preservation of a reactive C-terminal thioester, the requirement of an N-terminal cysteine residue (which is the second least common amino acid in proteins), and the requirement for a sterically unincumbering C-terminal residue.
Other strategies that have been used for the ligation of peptide fragments using the acyl transfer chemistry first introduced with native chemical ligation include expressed protein ligation, sulfurization/desulfurization techniques, and use of removable thiol auxiliaries.
Expressed protein ligation allows for the biotechnological installation of a C-terminal thioester using intein biochemistry, thereby allowing the appendage of a synthetic N-terminal peptide to the recombinantly produced C-terminal portion. This technique allows for access to much larger proteins, as only the N-terminal portion of the resulting protein has to be chemically synthesized. Both sulfurization/desulfurization techniques and the use of removable thiol auxiliaries involve the installation of a synthetic thiol moiety to carry out the standard native chemical ligation chemistry, followed by removal of the auxiliary/thiol. These techniques help to overcome the requirement of an N-terminal cysteine needed for standard native chemical ligation, although the steric requirements for the C-terminal residue are still limiting.
A final category of peptide ligation strategies include those methods not based on native chemical ligation type chemistry. Methods that fall in this category include the traceless Staudinger ligation, azide-alkyne dipolar cycloadditions, and imine ligations.
Major contributors in this field today include Stephen B. H. Kent, Philip E. Dawson, and Tom W. Muir, as well as many others involved in methodology development and applications of these strategies to biological problems.
Protein design by directed evolution
One of the primary goals of protein engineering is the design of novel peptides or proteins with a desired structure and chemical activity. Because our knowledge of the relationship between primary sequence, structure, and function of proteins is limited, rational design of new proteins with enzymatic activity is extremely challenging. Directed evolution, repeated cycles of genetic diversification followed by a screening or selection process, can be used to mimic Darwinian evolution in the laboratory to design new proteins with a desired activity.
Several methods exist for creating large libraries of sequence variants. Among the most widely used are subjecting DNA to UV radiation or chemical mutagens, error-prone PCR, degenerate codons, or recombination. Once a large library of variants is created, selection or screening techniques are used to find mutants with a desired attribute. Common selection/screening techniques include fluorescence-activated cell sorting (FACS), mRNA display, phage display, or in vitro compartmentalization. Once useful variants are found, their DNA sequence is amplified and subjected to further rounds of diversification and selection. Since only proteins with the desired activity are selected, multiple rounds of directed evolution lead to proteins with an accumulation beneficial traits.
There are two general strategies for choosing the starting sequence for a directed evolution experiment: de novo design and redesign. In a protein design experiment, an initial sequence is chosen at random and subjected to multiple rounds of directed evolution. For example, this has been employed successfully to create a family of ATP-binding proteins with a new folding pattern not found in nature. Random sequences can also be biased towards specific folds by specifying the characteristics (such as polar vs. nonpolar) but not the specific identity of each amino acid in a sequence. Among other things, this strategy has been used to successfully design four-helix bundle proteins. Because it is often thought that a well-defined structure is required for activity, biasing a designed protein towards adopting a specific folded structure is likely to increase the frequency of desirable variants in constructed libraries.
In a protein redesign experiment, an existing sequence serves as the starting point for directed evolution. In this way, old proteins can be redesigned for increased activity or new functions. Protein redesign has been used for protein simplification, creation of new quaternary structures, and topological redesign of a chorismate mutase. To develop enzymes with new activities, one can take advantage of promiscuous enzymes or enzymes with significant side reactions. In this regard, directed evolution has been used on γ-humulene synthase, an enzyme that creates over 50 different sesquiterpenes, to create enzymes that selectively synthesize individual products. Similarly, completely new functions can be selected for from existing protein scaffolds. In one example of this, an RNA ligase was created from a zinc finger scaffold after 17 rounds of directed evolution. This new enzyme catalyzes a chemical reaction not known to be catalyzed by any natural enzyme.
Computational methods, when combined with experimental approaches, can significantly assist both the design and redesign of new proteins through directed evolution. Computation has been used to design proteins with unnatural folds, such as a right-handed coiled coil. These computational approaches could also be used to redesign proteins to selectively bind specific target molecules. By identifying lead sequences using computational methods, the occurrence of functional proteins in libraries can be dramatically increased before any directed evolution experiments in the laboratory.
Frances Arnold, Donald Hilvert, and Jack W. Szostak are significant researchers in this field.
Biocompatible click cycloladdition reactions in chemical biology
Recent advances in technology have allowed scientists to view substructures of cells at levels of unprecedented detail. Unfortunately these “aerial” pictures offer little information about the mechanics of the biological system in question. To be fully effective, precise imaging systems require a complementary technique that better elucidates the machinery of a cell. By attaching tracking devices (optical probes) to biomolecules in vivo, one can learn far more about cell metabolism, molecular transport, cell-cell interactions and many other processes
Successful labeling of a molecule of interest requires specific functionalization of that molecule to react chemospecifically with an optical probe. For a labeling experiment to be considered robust, that functionalization must minimally perturb the system. Unfortunately, these requirements can often be extremely hard to meet. Many of the reactions normally available to organic chemists in the laboratory are unavailable in living systems. Water- and redox- sensitive reactions would not proceed, reagents prone to nucleophilic attack would offer no chemospecificity, and any reactions with large kinetic barriers would not find enough energy in the relatively low-heat environment of a living cell. Thus, chemists have recently developed a panel of bioorthogonal chemistry that proceed chemospecifically, despite the milieu of distracting reactive materials in vivo.
Design of bioorthogonal reagents and bioorthogonal chemical reporters
The coupling of an optical probe to a molecule of interest must occur within a reasonably short time frame; therefore, the kinetics of the coupling reaction should be highly favorable. Click chemistry is well suited to fill this niche, since click reactions are, by definition, rapid, spontaneous, selective, and high-yielding. Unfortunately, the most famous “click reaction,” a [3+2] cycloaddition between an azide and an acyclic alkyne, is copper-catalyzed, posing a serious problem for use in vivo due to copper’s toxicity.
To bypass the necessity for a catalyst, the lab of Dr. Carolyn Bertozzi introduced inherent strain into the alkyne species by using a cyclic alkyne. In particular, cyclooctyne reacts with azido-molecules with distinctive vigor. Further optimization of the reaction led to the use of difluorinated cyclooctynes (DIFOs), which increased yield and reaction rate. Other coupling partners discovered by separate labs to be analogous to cyclooctynes include trans cyclooctene, norbornene, and a cyclobutene-functionalized molecule.
Use in biological systems
As mentioned above, the use of bioorthogonal reactions to tag biomolecules requires that one half of the reactive “click” pair is installed in the target molecule, while the other is attached to an optical probe. When the probe is added to a biological system, it will selectively conjugate with the target molecule.
The most common method of installing bioorthogonal reactivity into a target biomolecule is through metabolic labeling. Cells are immersed in a medium where access to nutrients is limited to synthetically modified analogues of standard fuels such as sugars. Consequently, these altered biomolecules are incorporated into the cells in the same manner as their wild-type brethren. The optical probe is then incorporated into the system to image the fate of the altered biomolecules. Other methods of functionalization include enzymatically inserting azides into proteins, crosslinking modified peptide domains, and synthesizing phospholipids conjugated to cyclooctynes
As these bioorthogonal reactions are further optimized, they will likely be used for increasingly complex interactions involving multiple different classes of biomolecules. More complex interactions have a smaller margin for error, so increased reaction efficiency is paramount to continued success in optically probing cellular machinery. Also, by minimizing side reactions, the experimental design of a minimally perturbed living system is closer to being realized.
Discovery of biomolecules through metagenomics
The advances in modern sequencing technologies in the late 1990s allowed scientists to investigate DNA of communities of organisms in their natural environments, so-called “eDNA”, without culturing individual species in the lab. This metagenomic approach enabled scientists to study a wide selection of organisms that were previously not characterized due in part to an incompetent growth condition. These sources of eDNA include, but are not limited to, soils, ocean, subsurface, hot springs, hydrothermal vents, polar ice caps, hypersaline habitats, and extreme pH environments. Of the many applications of metagenomics, chemical biologists and microbiologists such as Jo Handelsman, Jon Clardy, and Robert M. Goodman who are pioneers of metagenomics, explored metagenomic approaches toward the discovery of biologically active molecules such as antibiotics.File:Metagenomics.jpg
Functional or homology screening strategies have been used to identify genes that produce small bioactive molecules. Functional metagenomic studies are designed to search for specific phenotypes that are associated with molecules with specific characteristics. Homology metagenomic studies, on the other hand, are designed to examine genes to identify conserved sequences that are previously associated with the expression of biologically active molecules.
Functional metagenomic studies enable scientists to discover novel genes that encode biologically active molecules. These assays include top agar overlay assays where antibiotics generate zones of growth inhibition against test microbes, and pH assays that can screen for pH change due to newly synthesized molecules using pH indicator on an agar plate. Substrate-induced gene expression screening (SIGEX), a method to screen for the expression of genes that are induced by chemical compounds, has also been used to search genes with specific functions. These led to the discovery and isolation of several novel proteins and small molecules. For example, the Schipper group identified three eDNA derived AHL lactonases that inhibit biofilm formation of Pseudomonas aeruginosa via functional metagenomic assays. However, these functional screening methods require a good design of probes that detect molecules being synthesized and depend on the ability to express metagenomes in a host organism system.
In contrast, homology metagenomic studies led to a faster discovery of genes that have homologous sequences as the previously known genes that are responsible for the biosynthesis of biologically active molecules. As soon as the genes are sequenced, scientists can compare thousands of bacterial genomes simultaneously. The advantage over functional metagenomic assays is that homology metagenomic studies do not require a host organism system to express the metagenomes, thus this method can potentially save the time spent on analyzing nonfunctional genomes. These also led to the discovery of several novel proteins and small molecules. For example, Banik et al. screened for clones containing genes associated with the synthesis of teicoplanin and vancomycin-like glycopeptide antibiotics and found two new biosynthetic gene clusters. In addition, an in silico examination from the Global Ocean Metagenomic Survey found 20 new lantibiotic cyclases.
There are challenges to metagenomic approaches to discover new biologically active molecules. Only 40% of enzymatic activities present in a sample can be expressed in E. coli.. In addition, the purification and isolation of eDNA is essential but difficult when the sources of obtained samples are poorly understood. However, collaborative efforts from individuals from diverse fields including bacterial genetics, molecular biology, genomics, bioinformatics, robots, synthetic biology, and chemistry can solve this problem together and potentially lead to the discovery of many important biologically active molecules.
Posttranslational modification of proteins with phosphate groups has proven to be a key regulatory step throughout all biological systems. Phosphorylation events, either phosphorylation by protein kinases or dephosphorylation by phosphoylases, result in protein activation or deactivation. These events have an immense impact on the regulation of physiological pathways, which makes the ability to dissect and study these pathways integral to understanding the details of cellular processes. There exist a number of challenges—namely the sheer size of the phosphoproteome, the fleeting nature of phosphorylation events and related physical limitations of classical biological and biochemical techniques—that have limited the advancement of knowledge in this area. A recent review provides a detailed examination of the impact of newly developed chemical approaches to dissecting and studying biological systems both in vitro and in vivo.
Through the use of a number of classes of small molecule modulators of protein kinases, chemical biologists have been able to gain a better understanding of the effects of protein phosphorylation. For example, nonselective and selective kinase inhibitors, such as a class of pyridinylimidazole compounds described by Wilson, et al., are potent inhibitors useful in the dissection of MAP kinase signaling pathways. These pyridinylimidazole compounds function by targeting the ATP binding pocket. Although this approach, as well as related approaches, with slight modifications, has proven effective in a number of cases, these compounds lack adequate specificity for more general applications. Another class of compounds, mechanism-based inhibitors, combines detailed knowledge of the chemical mechanism of kinase action with previously utilized inhibition motifs. For example, Parang, et al. describe the development of a “bisubstrate analog” that inhibits kinase action by binding both the conserved ATP binding pocket and an protein/peptide recognition site on the specific kinase. While there is no published in vivo data on compounds of this type, the structural data acquired from in vitro studies have expanded the current understanding of how a number of important kinases recognize target substrates.
The development of novel chemical means of incorporating phophomimetics into proteins has provided important insight into the effects of phosphorylation events. Historically, phosphorylation events have been studied by mutating an identified phosphorylation site (serine, threonine or tyrosine) to an amino acid, such as alanine, that cannot be phosphorylated. While this approach has been successful in some cases, mutations are permanent in vivo and can have potentially detrimental effects on protein folding and stability. Thus, chemical biologists have developed new ways of investigating protein phosphorylation. By installing phospho-serine, phospho-threonine or analogous phosphonate mimics into native proteins, researchers are able to perform in vivo studies to investigate the effects of phosphorylation by extending the amount of time a phosphorylation event occurs while minimizing the often-unfavorable effects of mutations. Protein semisynthesis, or more specifically expressed protein ligation (EPL), has proven to be successful techniques for synthetically producing proteins that contain phosphomimetic molecules at either the C- or N-terminus. Additionally, researchers have built upon an established technique in which one can insert an unnatural amino acid into a peptide sequence by charging synthetic tRNA that recognizes a nonsense codon with an unnatural amino acid. Recent developments indicate that this technique can also be employed in vivo, although, due to permeability issues, these in vivo experiments using phosphomimetic molecules have not yet been possible.
Advances in chemical biology have also improved upon classical techniques of imaging kinase action. For example, the development of peptide biosensors—peptides containing incorporated fluorophore molecules—allowed for improved temporal resolution in in vitro binding assays. Experimental limitations, however, prevent this technique from being effectively used in vivo. One of the most useful techniques to study kinase action is Fluorescence Resonance Energy Transfer (FRET). To utilize FRET for phosphorylation studies, fluorescent proteins are coupled to both a phosphoamino acid binding domain and a peptide that can by phosphorylated. Upon phosphorylation or dephosphorylation of a substrate peptide, a conformational change occurs that results in a change in fluorescence. FRET has also been used in tandem with Fluorescence Lifetime Imaging Microscopy (FLIM) or fluorescently conjugated antibodies and flow cytometry to provide a detailed, specific, quantitative results with excellent temporal and spatial resolution.
Through the augmentation of classical biochemical methods as well as the development of new tools and techniques, chemical biologists have improved accuracy and precision in the study of protein phosphorylation.
Metal complexes in medicine
Metal complexes have many characteristics that can be advantageous in drug design. In comparison to organic-based medicines, metal complexes have many more coordination numbers, geometries, and oxidation/reduction states that can be used to make structures that interact with targets in unique ways unavailable to most organic molecules. In addition, the cationic metal is advantageous in complexing with charged targets within biological systems like the phosphate backbone of DNA. Targets of metal-based medicines include DNA, proteins, and enzymes. Each target tupe is described in turn below.
Metal complexes targeting DNA
DNA has been the primary target of metal complexes due to the ability of cationic metal interacting with the anionic backbone of DNA. The anticancer chemotherapy drug cisplatin covalently binds to DNA, which disrupts transcription and leads to programed cell death. Assuming early detection, cisplatin cures almost all cases of testicular cancer. This drug, however, has severe side effects and great effort is being made to improve drug delivery including attachment to single-walled carbon nanotubes, encapsulation in proteins cages, among other clever strategies.
Another major effort for anticancer metal-based drugs centers around stabilization of the G-quadruplex of DNA. These drugs generally have a non-covalent interaction with the G-quadruplex, as well as a planar positively charged structure.
Metal complexes targeting enzymes and proteins
Though DNA has been a primary target for inorganic medicines, enzymes and proteins also can be modulated through interactions with these compounds. Metal complexes can interact with the amino acids with the highest reduction potential (histidine, cysteine, and selenocysteine). Metals used in such complexes include gold, platinum, ruthenium, vanadium, cobalt and others. Several new potential therapeutic complexes are currently in the process of discovery and investigation.
Some gold complexes are showing potential as medicines. A rheumatoid arthritis drug (auranofin, a gold(I) phosphine complex) has shown value in treating parasitic disease through inhibiting thioredoxin glutathione reductase.
Along with cisplatin, many other platinum complexes are potential therapeutics. Like auranofin, terpyridine platinum inhibits thioredoxin reductase with nanomolar IC50. This complex also is an inhibitor of the common target enzyme topoisomerase I. Yet another family of complexes with potential anticancer properties are dichloro(SMP)-platinum(II) complexes. These complexes target the matrix metalloproteinase, where the complex coordinates with amino acids of the enzyme in the coordination sites previously held by chlorides, and through the smp ligand. As seen by these few examples, platinum complexes are a particularly active area of research for metal-based medicines.
Ruthenium complexes have anticancer activity. A library of glutathione transferase inhibitors were created through a combination of ethacrynic acid (a known inhibitor of the enzyme) and ruthenium complexes.
Vanadium complexes have been used in multiple therapeutic settings. A new area in which vanadium may have a great medicinal impact is through the oxovanadium porphyrin complexes. These complexes have demonstrated HIV-1 reverse transcriptase inhibition in vitro.
Issues and outlook
Though there is currently much excitement in the field of metal-based medicines, many challenges still face researchers. One such challenge is selectivity of complexes in vivo. Many of these complexes can bind to common proteins like serum albumin in addition to other proteins with amino acids that are common in protein-metal complex interactions like histidine, cysteine, and selenocysteine. Along with selectivity issues, much is yet unknown about mechanisms through which metal complexes interact with proteins. How complexing between a given metal complex and target protein or enzyme occurs is often unknown or unclear and requires much more elucidation before truly effective metal complexes can be designed and delivered. Currently, physicians utilize very few metal-based medicines in the clinics. For example, none of the 21 drugs approved by the U.S. Food and Drug Administration (FDA) in 2008 were inorganic. However, with the success of cisplatin in cancer treatment, it is not unreasonable to anticipate more metal complexes will be actively used in the treatment of diseases.
Synthetic biology focuses on the manipulation of biological components to form new systems or the generation of living systems with synthetic parts. The canonical idea of synthetic biology is the creation of new life, but recently it has come to include bioengineering in terms of the use of interchangeable components to give novel outputs. In the search for modular parts, it is most facile if the building blocks contribute independently to the function of the whole unit so that the modules can be recombined in predictable ways. It is useful for synthetic biologists to define “life”: in this context, to be alive an organism must be capable of Darwinian evolution – genetic mutation, self-replication and inheritance of mutations.
J. Craig Venter’s group has created the first “synthetic” cell – the first cells to exist with fully synthetic DNA. Venter was able to manipulate the synthetic genome to dictate the proteins expressed in the organism. Note that these were not fully synthetic cells – but that the synthetic DNA was able to take over all metabolic processes necessary for cell survival and proliferation.
DNA as interchangeable parts
DNA is composed of repeating modular units consisting of an anion phosphate group that forms the polyanion backbone, and nucleotide base pairs that engage in Watson-Crick base pairing to form the double strand. Because the molecular recognition of DNA is mostly based on the polyanion backbone, the nucleotides can be modified without altering the structural integrity of the DNA. Steven Benner’s group has generated an artificial genetic alphabet of eight new base pairs that can be amplified by polymerase chain reaction; this indicates that these base pairs can be used in systems that undergo Darwinian evolution.
Proteins as interchangeable parts
Amino acids are poor modular building blocks because they don’t act independently and there is a fundamental lack of understanding about the relationship between linear amino acid sequences and the folding and functionality of proteins. Chemical biologists have been able to create small peptide secondary structures through rational design such as alpha helices based on the manipulation of hydrophobic packing interactions.
Protein secondary structure
Modules consisting of protein secondary structure can be designed to perform specific functions; for example, it has been demonstrated that alpha helices can be used as functional peptide catalysts. The Ghadiri group has created a template peptide that promotes the ligation of two modified helices by bringing the helices into close proximity by specifically designed hydrophobic interactions of the helices with the template.
Fully folded proteins can be combined in novel ways to generate specific non-natural outcomes. This is highly useful commercially from drug development to the production of polymers – one can imagine the economic benefits if scientists can design systems in which proteins catalyze reactions without the necessity of excessive human intervention to produce commercially relevant materials. For example, the Keasling group has developed a series of proteins that catalyze conversion of acetyl CoA, a common cellular metabolite, into a precursor for the potent antimalarial drug artemisinin.
Modifying molecular switches
Signaling pathways can be modified to be turned on or off by non-natural ligands or inputs to the system. For instance, systems can be modified so that they are autoinhibited by non-natural proteins that release their inhibition upon binding with a specific molecule that is different from the natural signaling molecule of the path. This allows new approaches to studying signal circuits specifically and with user-designed inputs.
Chemical approaches to stem-cell biology
Advances in stem-cell biology have typically been driven by discoveries in molecular biology and genetics. These have included optimization of culture conditions for the maintenance and differentiation of pluripotent and multipotent stem-cells and the deciphering of signaling circuits that control stem-cell fate. However, chemical approaches to stem-cell biology have recently received increased attention due to the identification of several small molecules capable of modulating stem-cell fate in vitro. A small molecule approach offers particular advantages over traditional methods in that it allows a high degree of temporal control, since compounds can be added or removed at will, and tandem inhibition/activation of multiple cellular targets.
Small molecules that modulate stem-cell behavior are commonly identified in high-throughput screens. Libraries of compounds are screened for the induction of a desired phenotypic change in cultured stem-cells. This is usually observed through activation or repression of a fluorescent reporter or by detection of specific cell surface markers by FACS or immunohistochemistry. Hits are then structurally optimized for activity by the synthesis and screening of secondary libraries. The cellular targets of the small molecule can then be identified by affinity chromatography, mass spectrometry, or DNA microarray.
A trademark of pluripotent stem-cells, such as embryonic stem-cells (ESCs), is the ability to self-renew indefinitely. The conventional use of feeder cells and various exogenous growth factors in the culture of ESCs presents a problem in that the resulting highly variable culture conditions make the long-term expansion of un-differentiated ESCs challenging. Ideally, chemically defined culture conditions could be developed to maintain ESCs in a pluripotent state indefinitely. Toward this goal, the Schultz and Ding labs at the Scripps Research Institute identified a small molecule that can preserve the long-term self-renewal of ESCs in the absence of feeder cells and other exogenous growth factors. This novel molecule, called pluripotin, was found to simultaneously inhibit multiple differentiation inducing pathways.
The utility of stem-cells is in their ability to differentiate into all cell types that make up an organism. Differentiation can be achieved in vitro by favoring development toward a particular cell type through the addition of lineage specific growth factors, but this process is typically non-specific and generates low yields of the desired phenotype. Alternatively, inducing differentiation by small molecules is advantageous in that it allows for the development of completely chemically defined conditions for the generation of one specific cell type. A small molecule, neuropathiazol, has been identified which can specifically direct differentiation of multipotent neural stem cells into neurons. Neuropathiazol is so potent that neurons develop even in conditions which normally favor the formation of glial cells, a powerful demonstration of controlling differentiation by chemical means.
Because of the ethical issues surrounding ESC research, the generation of pluripotent cells by reprogramming existing somatic cells into a more “stem-like” state is a promising alternative to the use of standard ESCs. By genetic approaches, this has recently been achieved in the creation of ESCs by somatic cell nuclear transfer and the generation of induced pluripotent stem-cells by viral transduction of specific genes. From a therapeutic perspective, reprogramming by chemical means would be safer than genetic methods because induced stem-cells would be free of potentially dangerous transgenes. Several examples of small molecules which can de-differentiate somatic cells have been identified. In one report, lineage-committed myoblasts were treated with a compound, named reversine, and observed to revert to a more stem-like phenotype. These cells were then shown to be capable of differentiating into osteoblasts and adipocytes under appropriate conditions.
Stem-cell therapies are currently the most promising treatment for many degenerative diseases. Chemical approaches to stem-cell biology support the development of cell-based therapies by enhancing stem-cell growth, maintenance, and differentiation in vitro. Small molecules that have been shown to modulate stem-cell fate are potential therapeutic candidates and provide a natural lean-in to pre-clinical drug development. Small molecule drugs could promote endogenous stem-cells to differentiate, replacing previously damaged tissues and thereby enhancing the body’s own regenerative ability. Further investigation of molecules that modulate stem-cell behavior will only unveil new therapeutic targets.
Fluorescence for assessing protein location and function
Fluorophores and techniques to tag proteins
Organisms are composed of cells, which in turn, are composed of macromolecules e.g. proteins, ribosomes, etc. These macromolecules interact with each other, changing their concentration and suffering chemical modifications. The main goal of many biologists is to understand these interactions, using MRI, ESR, electrochemistry, and fluorescence among others. The advantages of fluorescence reside in its high sensitivity, non-invasiveness, safe detection and ability to modulate the fluorescence signal. Fluorescence was mainly observed from small organic dyes attached to antibodies to the protein of interest. Later, fluorophores could directly recognize organelles, nucleic acids, and important ions in living cells. In the past decade, the discovery of green fluorescent protein (GFP), by Roger Y. Tsien, hybrid system and quantum dots have enable assessing protein location and function more precisely. Three main types of fluorophores are used: small organic dyes, green fluorescent proteins, and quantum dots. Small organic dyes usually are less than 1 kD, and have been modified to increase photostability, enhance brightness, and reduce self-quenching. Quantum dots have very sharp wavelength, high molar absorptivity and quantum yield. Both organic dyes and quantum dyes do not have the ability to recognize the protein of interest without the aid of antibodies, hence they must use immunolabeling. Since the size of the fluorophore-targeting complex typically exceeds 200 kD, it might interfere with multiprotein recognition in protein complexes, and other methods should be use in parallel. An advantage includes diversity of properties and a limitation is the ability of targeting in live cells. Green fluorescent proteins are genetically encoded and can be covalently fused to your protein of interest. A more developed genetic tagging technique is the tetracysteine biarsenical system, which requires modification of the targeted sequence that includes four cysteines, which binds membrane-permeable biarsenical molecules, the green and the red dyes “FlAsH” and “ReAsH”, with picomolar affinity. Both fluorescent proteins and biarsenical tetracysteine can be expressed in live cells, but present major limitations in ectopic expression and might cause lose of function. Giepmans shows parallel applications of targeting methods and fluorophores using GFP and tetracysteine with ReAsH for α-tubulin and β-actin, respectively. After fixation, cells were immunolabeled for the Golgi matrix with QD and for the mitochondrial enzyme cytochrome with Cy5.
Fluorescent techniques have been used assess a number of protein dynamics including protein tracking, conformational changes, protein-protein interactions, protein synthesis and turnover, and enzyme activity, among others.
Three general approaches for measuring protein net redistribution and diffusion are single-particle tracking, correlation spectroscopy and photomarking methods. In single-particle tracking, the individual molecule must be both bright and sparse enough to be tracked from one video to the other. Correlation spectroscopy analyzes the intensity fluctuations resulting from migration of fluorescent objects into and out of a small volume at the focus of a laser. In photomarking a fluorescent protein can be dequenched in a subcellular area with the use of intense local illumination and the fate of the marked molecule can be imaged directly. Michalet and coworkers used quantum dots for single-particle tracking using biotin-quantum dots in HeLa cells.
One of the best ways to detect conformational changes in proteins is to sandwich said protein between two fluorophores. FRET will respond to internal conformational changes result from reorientation of the fluorophore with respect to the other. Dumbrepatil sandwiched an estrogen receptor between a CFP (cyan fluorescent protein) and a YFP (yellow fluorescent protein) to study conformational changes of the receptor upon binding of a ligand.
Fluorophores of different colors can be applied to detect their respective antigens within the cell. If antigens are located close enough to each other, they will appear colocalized and this phenomenon is known as colocalization. Specialized computer software, such as CoLocalizer Pro, can be used to confirm and characterize the degree of colocalization.
FRET can detect dynamic protein-protein interaction in live cells providing the fluorophores get close enough. Galperin et al. used three fluorescent proteins to study multiprotein interactions in live cells.
Tetracysteine biarsenical systems can be used to study protein synthesis and turnover, which requires discrimination of old copies from new copies. In principle, a tetracysteine-tagged protein is labeled with FlAsH for a short time, leaving green labeled proteins. The protein synthesis is then carried out in the presence of ReAsH, labeling the new proteins as red.
One can also use fluorescence to see endogenous enzyme activity, typically by using a quenched activity based proteomics (qABP). Covalent binding of a qABP to the active site of the targeted enzyme will provide direct evidence concerning if the enzyme is responsible for the signal upon release of the quencher and regain of fluorescence.
The unique combination of high spatial and temporal resolution, nondestructive compatibility with living cells and organisms, and molecular specificity insure that fluorescence techniques will remain central in the analysis of protein networks and systems biology.
Applications of DNA microarrays in chemical biology
Planar surfaces functionalized with single- or double-stranded nucleic acids have enabled researchers to address a variety of salient biological and biochemical questions in recent years. The general architecture of modern DNA microarrays reflects the historical progression from the sequence-specific probing of whole chromosomes immobilized on glass slides (as early as 1961 with fluorescent in situ hybridization) and the low-density porous membrane arrays available since the early 1990s, to the high-density (102-104 features/mm2) solid support platforms that exist today. The massively parallel processing capabilities of these picomolar-range contemporary arrays provide for the generation of large data sets and multiplexed analysis. Furthermore, several top-down and bottom-up assembly methodologies provide researchers with the option for “in-house” production of arrays from custom oligonucleotide libraries  or the use of commercial genome chips, notably those developed by Affymetrix and Agilent Technologies.
DNA microarrays can be used to conduct several general types of experiments, most of which rely on the hybridization of fluorescently labeled single-stranded DNA molecules isolated from a biological sample to their single-stranded complement probes presented on an array. One of the earliest conceived applications for DNA microarrays was for single-nucleotide polymorphism (SNP) genotyping. Since SNPs are a “quick and dirty” approach to detect genetic indicators of pathologies and lineages, arrays theoretically provide a facile method for diagnosis; this was confirmed experimentally in the late 1990s in the successful SNP analysis of human tumors. Although there are currently commercially available arrays (e.g. bovine mapping chips) to characterize SNPs, it seems likely that the nascent availability of high-throughput and low-cost pyrosequencing will become the preferred method of recognition, or replace the need for SNP detection altogether with rapid whole-genome sequencing.
A different application of microarray technology that has become the gold standard for RNA analysis in recent years is the widespread utilization of expression microarrays, or “gene chips”. Gene chip preparation calls for the quantitative reverse transcription of the total cellular RNA pool into labeled and fragmented single-stranded DNA prior to hybridization-based capture. Up- and down-regulation of genes in response to stressors or disease states are quantitatively compared in cell lines and organisms. Coupled expression microarray and quantitative proteomics experiments have allowed for the in-depth exploration of the oftentimes non-linear relationship between the abundance of a particular transcribed message and that of its corresponding translated protein. These integrative studies, partially enabled by quantitative DNA microarray technology, have been successfully applied to a variety of biological systems, including yeast, bovine, mouse, bacterial, and human. The expression analysis community has amassed such a significant amount of expression microarray data that they are freely available in public databases.
These types of surfaces can also be used to analyze DNA-protein interactions on a genome-wide scale via chromatin immunoprecipitation, followed by an array-based analysis of the DNA (ChIP-chip). ChIP-chip experiments are enabled by the co-purification of a DNA-binding protein of interest with its corresponding genomic loci when a cross-linked chromatin extract is probed with an antibody to said protein. After purification, amplification and labeling, the DNA is applied to a microarray representing the entire genome; the data are plotted as a histogram that resolves the specific genomic regions associated with that protein. ChIP-chip experiments have provided the scientific community with a wealth of information about the steady-state genomic locations of DNA-binding proteins, such as histones, transcription factors, and polymerase machinery, and have also been successfully applied to studies on the dynamics of transcription factor binding. The data from these experiments may be further manipulated to computationally derive consensus binding sequences for some transcription factors, giving the opportunity for insight into the in vivo behavior of the factor, deeper than simple information about localization.
DNA microarrays are also amenable to the direct analysis of protein-DNA interactions in kinetic binding assays as analyzed by surface plasmon resonance (SPR). This experimental approach also relies on single-stranded DNA immobilized on a high-density array; however, the quantitative readout is based on a change in the optical properties of the DNA-functionalized surface when a protein flowed over the surface binds to the sequence in a particular surface feature. DNA-functionalized arrays analyzed with SPR in this way have yielded kinetic data regarding fundamental molecular biological processes. Recently, SPR analysis of a DNA microarray and components of the DNA replication machinery helped to elucidate the biochemical nuances of the replication fork.
High-density DNA microarrays have emerged as an important component of the chemical biology toolkit. The existing technology allows for the construction of customizable, as well as general, arrays and provides researchers with the opportunity to generate robust data from many different types of biological inputs. Considering the relatively recent shift in the scientific community away from binary perturbation/readout studies and toward “big science” and large data sets, it seems likely that DNA microarrays will continue to enable pertinent biological research for many years to come.
Microfluidics in chemical biology
Due to its physical dimensions, microfluidics both provides a unique platform to utilize chemical biology tools and serves as a chemical biology tool in itself. Defined as the manipulation of fluids through micron sized channels, the field of microfluidics has been studied extensively over the past twenty years, and much is known about how fluids behave at this scale. As such, this knowledge can, and has been used to manipulate biological samples in ways that cannot be achieved using standard bulk methods.¬
The main advantages achieved through miniaturization of sample volume with ¬regards to chemical biology applications include the ability to perform high-throughput experiments using a minimum of sample, the means to isolate, amplify and detect rare events from a complex mixture, and the resources to perturb the environment of a cellular sample at the scale of the cell itself(1-3). Through these capabilities researchers have been able to use microfluidics to crystallize proteins(4), perform the polymerase chain reaction(5-6), sequence DNA(5), study protein expression of single cells(7-8), perturb embryonic development in flies(9), culture cells(10) as well as perform many other important biological studies.
The ability to design and manufacture devices to perform microfluidic experiments using well established approaches lends to the utility of studying chemical biology with microfluidics. The most common material used for device manufacturing is polydimethylsioloxane (PDMS)(2). This material is far and away the most popular among researchers due to its compatible properties with biological systems. These characteristics include its relative inertness to most substances, its transparency to ultraviolet and visible light, its malleability and its permeability to gases(2). Additionally, PDMS surfaces can be treated to render them either hydrophilic or hydrophobic, depending on the desired application(2). This versatility allows PDMS to be used in nearly all microfluidic applications. Despite its wide range of uses, there are instances where other materials are preferred. Glass is a common alternative when PDMS is not desirable. Soft lithography is the most common method for making PDMS devices. This technique is relatively cheap and can be used to make nearly any architecture used in microfluidic experiments.
One unique feature that results from miniaturization of the sample vessel is the inevitable increased surface area to volume ratio. This inherent feature of microfluidic experiments can either lend to the advantages of using microfluidics or it can necessitate further refinement of experimental technique. In some instances, it is desirable to be able to direct molecules of interest to the interface between two phases. In this case, the enhanced surface area relative to the total reaction volume lends to the success of the experimental design. In other instances, it is necessary to prevent the migration of molecules to the surface. The most common instance of this is the propensity of protein molecules to adsorb at the interface between either air and water or oil and water. For these applications, it is necessary to modify the surfaces with either a surfactant or some other chemical additive to prevent this undesired effect.
Depending upon the nature of the desired experiment, the manner in which the fluids are manipulated and the number of phases present within the fluid flow can be different. The Reynold’s number (Re) determines whether fluid flow is laminar or turbulent. In laminar flow, the exchange of miscible fluids flowing parallel to each other is due to diffusion, and is thus slow. This characteristic has been harnessed to produce stable gradients of small molecules within fluid streams(11). Rather than using a single liquid phase, it is also possible to use two liquid phases in order to generate droplets. The most common method for generating droplets includes the flow of an aqueous stream perpendicular to an oil stream(12). When these two streams meet at a T-junction, uniform, aqueous droplets are formed that are surrounded by an oil phase. Depending upon the geometry of the microfluidic device as well as the flow rates used, droplets can also be formed using a flow-focusing device.
Microfluidics has a vast potential for single-molecule studies. In order to detect single molecules, it is often necessary to enhance or amplify a signal of interest(13). In bulk methods solutions, an amplified signal from a single molecule will continually be diluted to below the detection limit of nearly every fluorophore or other signal read-out. In small features rendered possible through microfluidics, however, the amplification of a single molecule will be confined within a volume ranging anywhere from nanoliters to picoliters(13). An amplified signal has the potential to grow in intensity above the limit of detection in these small volumes, thus allowing for single-molecule studies(13). The versatility in microfluidic device design and experimental execution combined with the unique size advantages of microfluidics provides nearly endless possibilities for its use as a chemical biology tool. With the advancement of nanofluidic technologies, the combined capabilities of microfluidics and nanofluidics could provide the necessary framework for important biological discoveries using chemical biology tools.
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- Wiley Encyclopedia of Chemical Biology
- ^ Cox, J., and Mann, M. (2007) Is Proteomics the New Genomics?, Cell 130(3), 395-398. DOI:
- ^ Zhao, Y., and Jensen, O.N. (2009) Modification-specific proteomics: strategies for characterization of post-translational modifications using enrichment techniques, Proteomics 9(20), 4632-41. 
- ^ Gingras,A-C., Gstaiger,M., Raught, B., and Aebersold, R. (2007) Analysis of protein complexes using mass spectrometry, Nat Rev Mol Cell Bio 8, 645-654. DOI:
- ^ Chin, J.W., and Schultz, P.G. (2002) In Vivo Photocrosslinking with Unnatural Amino Acid Mutagenesis, ChemBioChem 3, 1135–1137.
- ^ Liu, W., Brock,A., Chen, S., Chen, S., and Schultz, P.G. (2007) Genetic incorporation of unnatural amino acids into proteins in mammalian cells, Nat meth 4, 239-244.DOI:
- ^ López-Otín, C., and Overall, C.M. (2002) Protease degradomics: a new challenge for proteomics, Nat Rev Mol Cell Biol 3(7), 509-19. DOI:
- ^ Adam, G.C., Cravatt, B.F., and Sorensen, E.J. (2001) Profiling the specific reactivity of the proteome with non-directed activity-based probes, Chemistry & Biology 8, 81-95. DOI:
- ^ Turecek F. (2002) Mass spectrometry in coupling with affinity capture-release and isotope-coded affinity tags for quantitative protein analysis, J Mass Spectrom 37(1), 1-14. DOI:
- ^ Blethrow, J., Zhang, C., Shokat, K.M., and Weiss, E.L. (2004) Design and use of analog-sensitive protein kinases, Curr Protoc Mol Biol Chapter 18, Unit 18.11.
- ^ http://pubs.acs.org/doi/abs/10.1021/cb700248m
- ^ http://nobelprize.org/nobel_prizes/chemistry/laureates/2008/index.html
- ^ Uil, T. G.; Haisma, H. J.; Rots, M. G., Therapeutic modulation of endogenous gene function by agents with designed DNA-sequence specificities. Nucleic Acids Res 2003, 31 (21), 6064-78.
- ^ Kuwabara, T.; Warashina, M.; Taira, K., Cleavage of an inaccessible site by the maxizyme with two independent binding arms: an alternative approach to the recruitment of RNA helicases. J Biochem 2002, 132 (1), 149-55.
- ^ Doudna, J. A.; Cech, T. R., The chemical repertoire of natural ribozymes. Nature 2002, 418 (6894), 222-8.
- ^ Hamilton, A. J.; Baulcombe, D. C., A species of small antisense RNA in posttranscriptional gene silencing in plants. Science 1999, 286 (5441), 950-2.
- ^ Fire, A.; Xu, S.; Montgomery, M. K.; Kostas, S. A.; Driver, S. E.; Mello, C. C., Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans. Nature 1998, 391 (6669), 806-11.
- ^ Baulcombe, D., RNA silencing. Trends Biochem Sci 2005, 30 (6), 290-3.
- ^ Xia, H.; Mao, Q.; Paulson, H. L.; Davidson, B. L., siRNA-mediated gene silencing in vitro and in vivo.
- ^ Shim, M. S.; Kwon, Y. J., Efficient and targeted delivery of siRNA in vivo. FEBS J 2010, 277 (23), 4814-27.
- ^ Dorsett, Y.; Tuschl, T., siRNAs: applications in functional genomics and potential as therapeutics.
- ^ Mohr, S.; Bakal, C.; Perrimon, N., Genomic screening with RNAi: results and challenges. Annu Rev Biochem 2010, 79, 37-64.
- ^ Ryther, R. C.; Flynt, A. S.; Phillips, J. A.; Patton, J. G., siRNA therapeutics: big potential from small RNAs. Gene Ther 2005, 12 (1), 5-11.
- ^ Jordens, S., Adamick, J., Amar-Yuli, I., and Mezzenga, R. (2010) Disassembly and Reassembly of Amyloid Fibrils in Water−Ethanol Mixtures, In Biomacromolecules, ACS Publications. DOI:http://dx.doi.org/10.1021/bm101119t
- ^ Reddy, G., Straub, J. E., and Thirumalai, D. (2010) Dry amyloid fibril assembly in a yeast prion peptide is mediated by long-lived structures containing water wires, Proceedings of the National Academy of Sciences of the United States of America 107, 21459-21464. DOI: http://dx.doi.org/10.1073/pnas.1008616107
- ^ Borman, S. A. (2010) Water Factors In On Amyloid And Prion Aggregation Rates, In Chemical and Engineering News, ACS Publications
- ^ a b Luheshi, L. M., Crowther, D. C., and Dobson, C. M. (2008) Protein misfolding and disease: from the test tube to the organism, Current Opinion in Chemical Biology 12, 25-31. DOI: http://dx.doi.org/10.1016/j.cbpa.2008.02.011
- ^ Luheshi, L. M., Tartaglia, G. G., Brorsson, A.-C., Pawar, A. P., Watson, I. E., Chiti, F., Vendruscolo, M., Lomas, D. A., Dobson, C. M., and Crowther, D. C. (2007) Systematic In Vivo Analysis of the Intrinsic Determinants of Amyloid β Pathogenicity, PLoS Biol 5, e290.DOI: http://dx.doi.org/10.1371/journal.pbio.0050290
- ^ Crowther, D. C., Kinghorn, K. J., Miranda, E., Page, R., Curry, J. A., Duthie, F. A. I., Gubb, D. C., and Lomas, D. A. (2005) Intraneuronal AB, non-amyloid aggregates and neurodegeneration in a Drosophila model of Alzheimer's disease, Neuroscience 132, 123-135. DOI: http://dx.doi.org/10.1016/j.neuroscience.2004.12.025
- ^ Hammarström, P., Sekijima, Y., White, J. T., Wiseman, R. L., Lim, A., Costello, C. E., Altland, K., Garzuly, F., Budka, H., and Kelly, J. W. (2003) D18G Transthyretin Is Monomeric, Aggregation Prone, and Not Detectable in Plasma and Cerebrospinal Fluid: A Prescription for Central Nervous System Amyloidosis?, Biochemistry 42, 6656-6663. DOI: http://dx.doi.org/10.1021/bi027319b
- ^ Sekijima, Y., Wiseman, R. L., Matteson, J., Hammarström, P., Miller, S. R., Sawkar, A. R., Balch, W. E., and Kelly, J. W. (2008) The Biological and Chemical Basis for Tissue-Selective Amyloid Disease, Cell 121, 73-85. DOI: http://dx.doi.org/10.1016/j.cell.2005.01.018
- ^ Gidalevitz, T., Ben-Zvi, A., Ho, K. H., Brignull, H. R., and Morimoto, R. I. (2006) Progressive Disruption of Cellular Protein Folding in Models of Polyglutamine Diseases, Science 311, 1471-1474. DOI: http://dx.doi.org/10.1126/science.1124514
- ^ Cohen, E., Bieschke, J., Perciavalle, R. M., Kelly, J. W., and Dillin, A. (2006) Opposing Activities Protect Against Age-Onset Proteotoxicity, Science 313, 1604-1610. DOI: http://dx.doi.org/10.1126/science.1124646
- ^ Ramirez-Alvarado, M., Kelly, J. W., and Dobson, C. M., (Eds.) (2010) Protein Misfolding Diseases Current and Emerging Principles and Therapies, John Wiley and Sons, Hoboken
- ^ a b Kimmerlin, T., and Seebach, D. (2005) '100 years of peptide synthesis': ligation methods for peptide and protein synthesis with applications to beta-peptide assemblies, J Pept Res 65, 229-260. DOI: http://dx.doi.org/10.1111/j.1399-3011.2005.00214.x
- ^ a b Kent, S. (2006) Bruce Merrifield (1921-2006) - Obituary, Nature 441, 824-824. DOI: http://dx.doi.org/10.1038/441824a
- ^ Dirksen, A., and Dawson, P. E. (2008) Expanding the scope of chemoselective peptide ligations in chemical biology, Curr Opin Chem Biol 12, 760-766. DOI: http://dx.doi.org/10.1016/j.cbpa.2008.10.009
- ^ Dawson, P. E., Muir, T. W., Clarklewis, I., and Kent, S. B. H. (1994) SYNTHESIS OF PROTEINS BY NATIVE CHEMICAL LIGATION, Science 266, 776-779. DOI: http://dx.doi.org/10.1126/science.797362
- ^ Torbeev, V. Y., and Kent, S. B. H. (2007) Convergent chemical synthesis and crystal structure of a 203 amino acid "covalent dimer" HIV-1 protease enzyme molecule, Angew Chem Int Ed 46, 1667-1670. DOI: http://dx.doi.org/10.1002/anie.200604087
- ^ Durek, T., Torbeev, V. Y., and Kent, S. B. H. (2007) Convergent chemical synthesis and high-resolution x-ray structure of human lysozyme, Proceedings of the National Academy of Sciences of the United States of America 104, 4846-4851. DOI: http://dx.doi.org/10.1073/pnas.0610630104
- ^ McCaldon, P., and Argos, P. (1988) OLIGOPEPTIDE BIASES IN PROTEIN SEQUENCES AND THEIR USE IN PREDICTING PROTEIN CODING REGIONS IN NUCLEOTIDE-SEQUENCES, Proteins 4, 99-122. DOI: http://dx.doi.org/10.1002/prot.340040204
- ^ Muir, T. W., Sondhi, D., and Cole, P. A. (1998) Expressed protein ligation: A general method for protein engineering, P Natl Acad Sci USA 95, 6705-6710.
- ^ Wu, B., Chen, J. H., Warren, J. D., Chen, G., Hua, Z. H., and Danishefsky, S. J. (2006) Building complex glycopeptides: Development of a cysteine-free native chemical ligation protocol, Angew Chem Int Ed 45, 4116-4125. DOI: http://dx.doi.org/10.1002/anie.200600538
- ^ Chatterjee, C., McGinty, R. K., Pellois, J. P., and Muir, T. W. (2007) Auxiliary-mediated site-specific peptide ubiquitylation, Angew Chem Int Ed 46, 2814-2818. DOI: http://dx.doi.org/10.1002/anie.200605155
- ^ Soellner, M. B., Nilsson, B. L., and Raines, R. T. (2006) Reaction mechanism and kinetics of the traceless Staudinger ligation, J Am Chem Soc 128, 8820-8828. DOI: http://dx.doi.org/Ja060484k 10.1021/ja060484k
- ^ Punna, S., Kuzelka, J., Wang, Q., and Finn, M. G. (2005) Head-to-tail peptide cyclodimerization by copper-catalyzed azide-alkyne cycloaddition, Angew Chem Int Ed 44, 2215-2220. DOI: http://dx.doi.org/10.1002/anie.200461656
- ^ Dirksen, A., Hackeng, T. M., and Dawson, P. E. (2006) Nucleophilic catalysis of oxime ligation, Angew Chem Int Ed 45, 7581-7584. DOI: http://dx.doi.org/10.1002/anie.200602877
- ^ a b Jackel, C., Kast, P., and Hilvert, D. (2008) Protein design by directed evolution, Ann Rev Biophys 37, 153-173. DOI: http://dx.doi.org/10.1146/annurev.biophys.37.032807.125832
- ^ a b Bittker, J. A., Le, B. V., Liu, J. M., and Liu, D. R. (2004) Directed evolution of protein enzymes using nonhomologous random recombination, P Natl Acad Sci USA 101, 7011-7016. DOI: http://dx.doi.org/10.1073/pnas.0402202101
- ^ Aharoni, A., Griffiths, A. D., and Tawfik, D. S. (2005) High-throughput screens and selections of enzyme-encoding genes, Curr Opin Chem Biol 9, 210-216. DOI: http://dx.doi.org/10.1016/j.cbpa.2005.02.002
- ^ Wilson, D. S., Keefe, A. D., and Szostak, J. W. (2001) The use of mRNA display to select high-affinity protein-binding peptides, P Natl Acad Sci USA 98, 3750-3755. DOI: http://dx.doi.org/10.1073/pnas.061028198
- ^ Tawfik, D. S., and Griffiths, A. D. (1998) Man-made cell-like compartments for molecular evolution, Nat Biotechnol 16, 652-656. DOI: http://dx.doi.org/10.1038/nbt0798-652
- ^ Lo Surdo, P., Walsh, M. A., and Sollazzo, M. (2004) A novel ADP- and zinc-binding fold from function-directed in vitro evolution, Nat Struct Mol Bol 11, 382-383. DOI: http://dx.doi.org/10.1038/nsmb745
- ^ Kamtekar, S., Schiffer, J. M., Xiong, H. Y., Babik, J. M., and Hecht, M. H. (1993) Protein Design by Binary Patterning of Polar and Nonpolar Amino-acids, Science 262, 1680-1685. DOI:http://dx.doi.org/10.1126/science.8259512
- ^ Wei, Y. N., Kim, S., Fela, D., Baum, J., and Hecht, M. H. (2003) Solution structure of a de novo protein from a designed combinatorial library, P Natl Acad Sci USA 100, 13270-13273. DOI: http://dx.doi.org/10.1073/pnas.1835644100
- ^ Taylor, S. V., Walter, K. U., Kast, P., and Hilvert, D. (2001) Searching sequence space for protein catalysts, P Natl Acad Sci USA 98, 10596-10601. DOI: http://dx.doi.org/10.1073/pnas.191159298
- ^ Vamvaca, K., Butz, M., Walter, K. U., Taylor, S. V., and Hilvert, D. (2005) Simultaneous optimization of enzyme activity and quaternary structure by directed evolution, Protein Sci 14, 2103-2114. DOI: http://dx.doi.org/10.1110/ps.051431605
- ^ MacBeath, G., Kast, P., and Hilvert, D. (1998) Redesigning enzyme topology by directed evolution, Science 279, 1958-1961. DOI: http://dx.doi.org/10.1126/science.279.5358.1958
- ^ Yoshikuni, Y., Ferrin, T. E., and Keasling, J. D. (2006) Designed divergent evolution of enzyme function, Nature 440, 1078-1082. DOI: http://dx.doi.org/10.1038/nature04607
- ^ Seelig, B., and Szostak, J. W. (2007) Selection and evolution of enzymes from a partially randomized non-catalytic scaffold, Nature 448, 828-U813. DOI: http://dx.doi.org/10.1038/nature06032
- ^ Harbury, P. B., Plecs, J. J., Tidor, B., Alber, T., and Kim, P. S. (1998) High-resolution protein design with backbone freedom, Science 282, 1462-1467. DOI: http://dx.doi.org/10.1126/science.282.5393.1462
- ^ Jewett, J. C., and Bertozzi, C. R. (2010) Cu-free click cycloaddition reactions in chemical biology, Chemical Society Reviews 39, 1272-1279. [DOI:
- ^ Sletten, E. M., and Bertozzi, C. R. (2009) Bioorthogonal Chemistry: Fishing for Selectivity in a Sea of Functionality, Angewandte Chemie-International Edition 48, 6974-6998. [DOI:
- ^ Kolb, H. C., Finn, M. G., and Sharpless, K. B. (2001) Click Chemistry: Diverse Chemical Function from a Few Good Reactions, Angewandte Chemie International Edition 40, 2004-2021. [DOI:<2004::AID-ANIE2004>3.0.CO;2-5
- ^ Rostovtsev, V. V., Green, L. G., Fokin, V. V., and Sharpless, K. B. (2002) A stepwise Huisgen cycloaddition process: Copper(I)-catalyzed regioselective "ligation" of azides and terminal alkynes, Angewandte Chemie-International Edition 41, 2596-+. [DOI:<2596::AID-ANIE2596>3.0.CO;2-4
- ^ Agard, N. J., Prescher, J. A., and Bertozzi, C. R. (2004) A strain-promoted 3+2 azide-alkyne cycloaddition for covalent modification of blomolecules in living systems, Journal of the American Chemical Society 126, 15046-15047. [DOI:
- ^ Baskin, J. M., Prescher, J. A., Laughlin, S. T., Agard, N. J., Chang, P. V., Miller, I. A., Lo, A., Codelli, J. A., and Bertozzit, C. R. (2007) Copper-free click chemistry for dynamic in vivo imaging, Proceedings of the National Academy of Sciences of the United States of America 104, 16793-16797. [DOI:
- ^ Blackman, M. L., Royzen, M., and Fox, J. M. (2008) Tetrazine ligation: Fast bioconjugation based on inverse-electron-demand Diels-Alder reactivity, Journal of the American Chemical Society 130, 13518-+. [DOI:
- ^ Devaraj, N. K., Weissleder, R., and Hilderbrand, S. A. (2008) Tetrazine-Based Cycloadditions: Application to Pretargeted Live Cell Imaging, Bioconjugate Chemistry 19, 2297-2299. [DOI:
- ^ Pipkorn, R., Waldeck, W., Didinger, B., Koch, M., Mueller, G., Wiessler, M., and Braun, K. (2009) Inverse-electron-demand Diels-Alder reaction as a highly efficient chemoselective ligation procedure: Synthesis and function of a BioShuttle for temozolomide transport into prostate cancer cells, Journal of Peptide Science 15, 235-241. [DOI:
- ^ Fernandez-Suarez, M., Baruah, H., Martinez-Hernandez, L., Xie, K. T., Baskin, J. M., Bertozzi, C. R., and Ting, A. Y. (2007) Redirecting lipoic acid ligase for cell surface protein labeling with small-molecule probes, Nat Biotech 25, 1483-1487. [DOI:
- ^ Hur, G. H., Meier, J. L., Baskin, J., Codelli, J. A., Bertozzi, C. R., Marahiel, M. A., and Burkart, M. D. (2009) Crosslinking Studies of Protein-Protein Interactions in Nonribosomal Peptide Biosynthesis, Chemistry & Biology 16, 372-381. [DOI:
- ^ Neef, A. B., and Schultz, C. (2009) Selective Fluorescence Labeling of Lipids in Living Cells, Angewandte Chemie International Edition 48, 1498-1500. [DOI:
- ^ Keller, M., and Zengler, K. (2004) Tapping into microbial diversity, Nat Rev Micro 2, 141-150. DOI:http://dx.doi.org/10.1038/nrmicro819
- ^ Handelsman, J., Rondon, M. R., Brady, S. F., Clardy, J., and Goodman, R. M. (1998) Molecular biological access to the chemistry of unknown soil microbes: a new frontier for natural products, Chemistry & Biology 5, R245-R249. DOI: http://dx.doi.org/10.1016/S1074-5521(98)90108-9
- ^ a b c Banik, J. J., and Brady, S. F. (2010) Recent application of metagenomic approaches toward the discovery of antimicrobials and other bioactive small molecules, Current Opinion in Microbiology 13, 603-609. DOI: http://dx.doi.org/10.1016/j.mib.2010.08.012
- ^ a b Daniel, R. (2005) The metagenomics of soil, Nature Reviews Microbiology 3, 470-478. DOI: http://dx.doi.org/10.1038/nrmicro1160 DOI:http://dx.doi.org/10.1038/nrmicro1185
- ^ Daniel, R. (2005) The metagenomics of soil, Nature Reviews Microbiology 3, 470-478. DOI: http://dx.doi.org/10.1038/nrmicro1160
- ^ Schipper, C., Hornung, C., Bijtenhoorn, P., Quitschau, M., Grond, S., and Streit, W. R. (2009) Metagenome-Derived Clones Encoding Two Novel Lactonase Family Proteins Involved in Biofilm Inhibition in Pseudomonas aeruginosa, Applied and Environmental Microbiology 75, 224-233. DOI:http://dx.doi.org/10.1128/AEM.01389-08
- ^ Bunterngsook, B., Kanokratana, P., Thongaram, T., Tanapongpipat, S., Uengwetwanit, T., Rachdawong, S., Vichitsoonthonkul, T., and Eurwilaichitr, L. (2010) Identification and Characterization of Lipolytic Enzymes from a Peat-Swamp Forest Soil Metagenome, Bioscience Biotechnology and Biochemistry 74, 1848-1854. DOI:http://dx.doi.org/10.1271/bbb.100249
- ^ Li, B., Sher, D., Kelly, L., Shi, Y. X., Huang, K., Knerr, P. J., Joewono, I., Rusch, D., Chisholm, S. W., and van der Donk, W. A. (2010) Catalytic promiscuity in the biosynthesis of cyclic peptide secondary metabolites in planktonic marine cyanobacteria, Proceedings of the National Academy of Sciences of the United States of America 107, 10430-10435. DOI:http://dx.doi.org/10.1073/pnas.0913677107
- ^ Gabor, E. M., Alkema, W. B. L., and Janssen, D. B. (2004) Quantifying the accessibility of the metagenome by random expression cloning techniques, Environmental Microbiology 6, 879-886. DOI: http://dx.doi.org/10.1111/j.1462-2920.2004.00640.x
- ^ Tarrant, M. K. and Cole, P. A. (2009) The Chemical Biology of Protein Phosphorylation Annu. Rev. Biochem. 78, 797-825. DOI: 10.1146/annurev.biochem.78.070907.103047
- ^ Wilson, K. P., McCaffrey, P. G., Hsiao, K., Pazhanisamy, S., Galullo, V. Bemis, G. W., Fitzgibbon, M. J., Caron, P. R., Murcko, M. A., and Su, M. S. S. (1997) The structural basis for the specificity of pyridinylimidazole inhibitors of p38 MAP kinase Chem. Biol. 4, 423-431. DOI: 10.1016/S1074-5521(97)90194-0
- ^ Pargellis, C., Ton, L., Churchill, L., CIrillo, P. F., Gilmore, T., Graham, A. G., Grob, P. M., Hickey, E. R., Moss, N., Pav, S., and Regan, J. (2002) Inhibition of p38 MAP kinase by utilizing a novel allosteric binding site. Nat. Struct. Biol. 9, 268-272. DOI:10.1038/nsb770
- ^ Schindler, T., Bornmann, W., Pellicena, P, Miller, W. T., Clarckson, B., and Kuriyan, J. (2000) Structural mechanism for STI-571 inhibition of Abelson tyrosine kinase. Science 289, 1938-1942. DOI: 10.1126/science.289.5486.1938
- ^ Parang, K., Till, J. H., Ablooglu, A. J., Kohanski, R. A., Hubbard, S. R., and Cole, P. A. (2001) Mechanism-based design of a protein kinase inhibitor. Nat. Struct. Biol. 8, 37-41. DOI:10.1038/83028
- ^ Muir, T. W., Sondhi, D., and Cole, P. A. (1997) Expressed protein ligation: a general method for protein engineering. Proc. Nat. Acad. Sci. U. S. A. 95, 6705-6710. DOI: 10.1073/pnas.95.12.6705
- ^ Noren, C. J., Anthony-Cahill, S. J., Griffith, M. C., and Schultz, P. G. (1989) A general method for site-specific incorporation of unnatural amino acids into proteins. Science 244, 182-188. DOI: 10.1126/science.2649980
- ^ Wang, L., Xie, J., Schultz, P. G. (2006) Expanding the genetic code. Annu. Rec. Biophys, Biomol. Struct. 35, 225-249. DOI: 10.1146/ annurev.biophys.35.101105.121507
- ^ Sharma, V., Agnes, Q., and Lawrence, D. S. (2008) Peptide-based fluorescent sensors of protein kinase activity: design and applications. Biochem. Biophys. Acta 17, 94-99. DOI: 10.1016/j.bbapap.2007.07.016
- ^ Violin, J. D., Zhang, J., Tsein, R. Y. and Newton, A. C. (2003) A genetically encoded fluorescent reporter reveals oscillatory phosphorylation by protein kinase C. J. Cell Biol. 161, 899-909. doi:10.1083/jcb.200302125
- ^ Verveer, P. J., Wouters, F. S., Hansra, G., Bornancin, F., and Bastiaens, P. I. (2000) Quantitative imaging of lateral ERbB1 receptor signal propagation in the plasma membrane. Science 290, 1567-1570. DOI: 10.1126/science.290.5496.1567
- ^ Muller, S., Demotz, S., Bulliard, C., and Valitutti, S. (1999) Kinetics and extent of protein tyrosine kinase activation in individual T cells upon antigenic stimulation. Immunology 97, 287-293. DOI: 10.1046/j.1365-2567.1999.00767.x.
- ^ a b c d e Che, C. M., and Siu, F. M. (2010) Metal complexes in medicine with a focus on enzyme inhibition, Current Opinion in Chemical Biology 14, 255-261.DOI: 10.1016/j.cbpa.2009.11.015
- ^ Feazell RP, Nakayama-Ratchford N., Dai H., Lippard S.J. (2007) Soluble single-walled carbon nanotubes as longboat delivery systems for platinum (IV) anticancer drug design, Journal of American Chemistry Society 129, 8438-8439. DOI: 10.1021/ja073231f
- ^ Yang, Z., Wang, X. Y., Diao, H. J., Zhang, J. F., Li, H. Y., Sun, H. Z., and Guo, Z. J. (2007) Encapsulation of platinum anticancer drugs by apoferritin, Chemical Communications, 3453-3455. DOI: 10.1039/b705326f
- ^ Angelucci, F., Sayed, A. A., Williams, D. L., Boumis, G., Brunori, M., Dimastrogiovanni, D., Miele, A. E., Pauly, F., and Bellelli, A. (2009) Inhibition of Schistosoma mansoni Thioredoxin-glutathione Reductase by Auranofin STRUCTURAL AND KINETIC ASPECTS,Journal of Biological Chemistry 284, 28977-28985. DOI: 10.1074/jbc.M109.020701
- ^ a b Lo, Y. C., Ko, T. P., Su, W. C., Su, T. L., and Wang, A. H. J. (2009) Terpyridine-platinum(II) complexes are effective inhibitors of mammalian topoisomerases and human thioredoxin reductase 1, Journal of Inorganic Biochemistry 103, 1082-1092. DOI:10.1016/j.jinorgbio.2009.05.006
- ^ Becker, K., Herold-Mende, C., Park, J. J., Lowe, G., and Schirmer, R. H. (2001) Human thioredoxin reductase is efficiently inhibited by (2,2 ': 6 ',2 -terpyridine)platinum(II) complexes. Possible implications for a novel antitumor strategy, Journal of Medicinal Chemistry 44, 2784-2792. DOI: 10.1021/jm001014i
- ^ Arnesano, F., Boccarelli, A., Cornacchia, D., Nushi, F., Sasanelli, R., Coluccia, M., and Natile, G. (2009) Mechanistic Insight into the Inhibition of Matrix Metalloproteinases by Platinum Substrates, Journal of Medicinal Chemistry 52, 7847-7855. DOI:10.1021/jm900845t
- ^ Ang, W. H., Parker, L. J., De Luca, A., Juillerat-Jeanneret, L., Morton, C. J., Lo Bello, M., Parker, M. W., and Dyson, P. J. (2009) Rational Design of an Organometallic Glutathione Transferase Inhibitor, Angewandte Chemie-International Edition 48, 3854-3857. DOI: 10.1002/anie.200900185
- ^ Sun, R. W. Y., Ma, D. L., Wong, E. L. M., and Che, C. M. (2007) Some uses of transition metal complexes as anti-cancer and anti-HIV agents, Dalton Transactions, 4884-4892. DOI: 10.1039/b705079h
- ^ Hughes, B. (2009) 2008 FDA drug approvals, Nature Reviews Drug Discovery 8, 93-96. DOI: 10.1038/nrd2813
- ^ Benner, S. A.; and Sismour, A. M. (2005) Synthetic Biology, Nat. Rev. Genet. 6, 533-543. DOI: 10.1038/nrg1637
- ^ Gibson, D. G. et. al. (2010) Creation of a Bacterial Cell Controlled by a Chemically Synthesized Genome, Science 329, 52-56. DOI: 10.1126/science.1190719
- ^ Sismour, A. M. et al. (2004) PCR amplification of DNA containing non-standard base pairs by variants of reverse transcriptase from Human Immunodeficiency Virus-1, Nucleic Acids. Res. 32, 728–735. DOI: 10.1093/nar/gkh241
- ^ a b Kennan, A. J., Haridas, V., Severin, K., Lee, D. H. and Ghadiri, M. R. (2001) A de novo designed peptide ligase: A mechanistic investigation, J. Am. Chem. Soc. 123, 1797–1803. DOI: 10.1021/ja991266c
- ^ Saghatelian, A., Yokobayashi, Y., Soltani, K. and Ghadiri, M. R. (2001) A chiroselective peptide replicator, Nature 409, 797–801. DOI: 10.1038/35057238
- ^ Martin, V. J., Pitera, D. J., Withers, S. T., Newman, J. D. and Keasling, J. D. (2003) Engineering a mevalonate pathway in Escherichia coli for production of terpenoids, Nature Biotech. 21, 796–802. DOI: 10.1038/nbt833
- ^ Park, S. H., Zarrinpar, A. & Lim, W. A. (2003) Rewiring MAP kinase pathways using alternative scaffold assembly mechanisms, Science 299, 1061–1064. DOI: 10.1126/science.1076979
- ^ Prehoda, K. E., Scott, J. A., Mullins, R. D. & Lim, W. A. (2000) Integration of multiple signals through cooperative regulation of the N-WASP-Arp2/3 complex, Science 290, 801–806. DOI: 10.1126/science.290.5492.801
- ^ Ding, S. (2008) A chemical approach to stem cell biology, Cell Res. 18. DOI: 10.1038/cr.2008.95
- ^ Vazin, T., and Freed, W. J. (2010) Human embryonic stem cells: Derivation, culture, and differentiation: A review, Restor. Neurol. Neuros. 28, 589-603. DOI: 10.3233/rnn-2010-0543
- ^ Chen, S. B., Do, J. T., Zhang, Q. S., Yao, S. Y., Yan, F., Peters, E. C., Scholer, H. R., Schultz, P. G., and Ding, S. (2006) Self-renewal of embryonic stem cells by a small molecule, Proc. Natl. Acad. Sci. U. S. A. 103, 17266-17271. DOI: 10.1073/pnas.0608156103
- ^ Warashina, M., Min, K. H., Kuwabara, T., Huynh, A., Gage, F. H., Schultz, P. G., and Ding, S. (2006) A synthetic small molecule that induces neuronal differentiation of adult hippocampal neural progenitor cells, Angew. Chem., Int. Ed. 45, 591-593. DOI: 10.1002/anie.200503089
- ^ Egli, D., Rosains, J., Birkhoff, G., and Eggan, K. (2007) Developmental reprogramming after chromosome transfer into mitotic mouse zygotes, Nature 447, 679-U678. DOI: 10.1038/nature05879
- ^ Takahashi, K., and Yamanaka, S. (2006) Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors, Cell 126, 663-676. DOI: 10.1016/j.cell.2006.07.024
- ^ Anastasia, L., Pelissero, G., Venerando, B., and Tettamanti, G. (2010) Cell reprogramming: expectations and challenges for chemistry in stem cell biology and regenerative medicine, Cell Death Differ. 17, 1230-1237. DOI: 10.1038/cdd.2010.14
- ^ Chen, S. B., Zhang, Q. S., Wu, X., Schultz, P. G., and Ding, S. (2004) Dedifferentiation of lineage-committed cells by a small molecule, J. Am. Chem. Soc. 126, 410-411. DOI: 10.1021/ja037390k
- ^ Chen, S. B., Takanashi, S. C., Zhang, Q. S., Xiong, W., Zhu, S. T., Peters, E. C., Ding, S., and Schultz, P. G. (2007) Reversine increases the plasticity of lineage-committed mammalian cells, Proc. Natl. Acad. Sci. U. S. A. 104, 10482-10487. DOI: 10.1073/pnas.0704360104
- ^ a b c Giepmans, B. N. G., Adams, S. R., Ellisman, M. H., and Tsien, R. Y. (2006) The Fluorescent Toolbox for Assessing Protein Location and Function, Science 312, 217-224. DOI: 10.1126/science.1124618
- ^ Michalet, X., Pinaud, F. F., Bentolila, L. A., Tsay, J. M., Doose, S., Li, J. J., Sundaresan, G., Wu, A. M., Gambhir, S. S., and Weiss, S. (2005) Quantum Dots for Live Cells, in Vivo Imaging, and Diagnostics, Science 307, 538-544. DOI: 10.1126/science.1104274
- ^ Dumbrepatil, A. B., Lee, S.-G., Chung, S. J., Lee, M. G., Park, B. C., Kim, T. J., and Woo, E.-J. (2010) Development of a nanoparticle-based FRET sensor for ultrasensitive detection of phytoestrogen compounds, Analyst 135, 2879-2886. DOI: 10.1002/wnan.51
- ^ Zinchuk, V. and Grossenbacher-Zinchuk, O. (2009) Recent advances in quantitative colocalization analysis: focus on neuroscience, Prog Histochem Cytochem 44:125-172. DOI: 10.1016/j.proghi.2009.03.001
- ^ Galperin, E., Verkhusha, V. V., and Sorkin, A. (2004) Three-chromophore FRET microscopy to analyze multiprotein interactions in living cells, Nat Meth 1, 209-217. DOI: 10.1038/nmeth720
- ^ Gaietta, G., Deerinck, T. J., Adams, S. R., Bouwer, J., Tour, O., Laird, D. W., Sosinsky, G. E., Tsien, R. Y., and Ellisman, M. H. (2002) Multicolor and Electron Microscopic Imaging of Connexin Trafficking, Science 296, 503-507. DOI: 10.1126/science.1068793
- ^ Terai, T., and Nagano, T. (2008) Fluorescent probes for bioimaging applications, Current Opinion in Chemical Biology 12, 515-521. DOI: 10.1016/j.cbpa.2008.08.007
- ^ a b Stoughton, R. B. (2005) Applications of DNA microarrays in biology, Annual Review of Biochemistry 74, 53-82. DOI: 
- ^ a b Southern, E. M. (2001) DNA Microarrays, pp 1-15.
- ^ Lausted, C., Dahl, T., Warren, C., King, K., Smith, K., Johnson, M., Saleem, R., Aitchison, J., Hood, L., and Lasky, S. (2004) POSaM: a fast, flexible, open-source, inkjet oligonucleotide synthesizer and microarrayer, Genome Biology 5, R58. DOI: 
- ^ Ahrendt, S. A., Halachmi, S., Chow, J. T., Wu, L., Halachmi, N., Yang, S. C., Wehage, S., Jen, J., and Sidransky, D. (1999) Rapid p53 sequence analysis in primary lung cancer using an oligonucleotide probe array, Proceedings of the National Academy of Sciences of the United States of America 96, 7382-7387. DOI: 
- ^ Morozova, O., and Marra, M. A. (2008) Applications of next-generation sequencing technologies in functional genomics, Genomics 92, 255-264. DOI: 
- ^ Roth, A., Gill, R., and Certa, U. (2003) Temporal and spatial gene expression patterns after experimental stroke in a rat model and characterization of PC4, a potential regulator of transcription, Molecular and Cellular Neuroscience 22, 353-364. DOI: 
- ^ a b Ideker, T., Thorsson, V., Ranish, J. A., Christmas, R., Buhler, J., Eng, J. K., Bumgarner, R., Goodlett, D. R., Aebersold, R., and Hood, L. (2001) Integrated Genomic and Proteomic Analyses of a Systematically Perturbed Metabolic Network, Science 292, 929-934. DOI: 
- ^ Timperio, A. M., D'Alessandro, A., Pariset, L., D'Amici, G. M., Valentini, A., and Zolla, L. (2009) Comparative proteomics and transcriptomics analyses of livers from two different Bos taurus breeds: "Chianina and Holstein Friesian", Journal of Proteomics 73, 309-322. DOI: 
- ^ Carretero, J., Shimamura, T., Rikova, K., Jackson, A. L., Wilkerson, M. D., Borgman, C. L., Buttarazzi, M. S., Sanofsky, B. A., McNamara, K. L., Brandstetter, K. A., Walton, Z. E., Gu, T.-L., Silva, J. C., Crosby, K., Shapiro, G. I., Maira, S.-M., Ji, H., Castrillon, D. H., Kim, C. F., García-Echeverría, C., Bardeesy, N., Sharpless, N. E., Hayes, N. D., Kim, W. Y., Engelman, J. A., and Wong, K.-K. (2010) Integrative Genomic and Proteomic Analyses Identify Targets for Lkb1-Deficient Metastatic Lung Tumors, Cancer cell 17, 547-559. DOI: 
- ^ Klüsener, S., Hacker, S., Tsai, Y.-L., Bandow, J., Gust, R., Lai, E.-M., and Narberhaus, F. (2010) Proteomic and transcriptomic characterization of a virulence-deficient phosphatidylcholine-negative Agrobacterium tumefaciens mutant, Molecular Genetics and Genomics 283, 575-589. DOI: 
- ^ Piruzian, E., Bruskin, S., Ishkin, A., Abdeev, R., Moshkovskii, S., Melnik, S., Nikolsky, Y., and Nikolskaya, T. (2010) Integrated network analysis of transcriptomic and proteomic data in psoriasis, BMC Systems Biology 4, 41. DOI: 
- ^ Li, B., Pattenden, S. G., Lee, D., Gutiérrez, J., Chen, J., Seidel, C., Gerton, J., and Workman, J. L. (2005) Preferential occupancy of histone variant H2AZ at inactive promoters influences local histone modifications and chromatin remodeling, Proceedings of the National Academy of Sciences of the United States of America 102, 18385-18390. DOI: 
- ^ Wade, J. T., Hall, D. B., and Struhl, K. (2004) The transcription factor Ifh1 is a key regulator of yeast ribosomal protein genes, Nature 432, 1054-1058. DOI: 
- ^ Mooney, R. A., Davis, S. E., Peters, J. M., Rowland, J. L., Ansari, A. Z., and Landick, R. (2009) Regulator Trafficking on Bacterial Transcription Units In Vivo, Molecular cell 33, 97-108. DOI: 
- ^ Zeitlinger, J., Simon, I., Harbison, C. T., Hannett, N. M., Volkert, T. L., Fink, G. R., and Young, R. A. (2003) Program-Specific Distribution of a Transcription Factor Dependent on Partner Transcription Factor and MAPK Signaling, Cell 113, 395-404. DOI: 
- ^ Farnham, P. J. (2009) Insights from genomic profiling of transcription factors, Nat Rev Genet 10, 605-616. DOI: 
- ^ Lee, H. J., Goodrich, T. T., and Corn, R. M. (2001) SPR Imaging Measurements of 1-D and 2-D DNA Microarrays Created from Microfluidic Channels on Gold Thin Films, Analytical Chemistry 73, 5525-5531. DOI: 
- ^ Makowska-Grzyska, M., and Kaguni, J. M. (2010) Primase Directs the Release of DnaC from DnaB, Molecular cell 37, 90-101. DOI: 
- ^ Whitesides, G. M. (2006) The origins and the future of microfluidics, Nature 442, 368-373.
- ^ 1. Whitesides, G. M. (2006) The origins and the future of microfluidics, Nature 442, 368-373.
- ^ 2. Weibel, D. B., and Whitesides, G. M. (2006) Applications of microfluidics in chemical biology, Current Opinion in Chemical Biology 10, 584-591.
- ^ 3. Song, H., Chen, D. L., and Ismagilov, R. F. (2006) Reactions in droplets in microflulidic channels, Angewandte Chemie-International Edition 45, 7336-7356.
- ^ 4. Li, L., and Ismagilov, R. F. (2010) Protein Crystallization Using Microfluidic Technologies Based on Valves, Droplets and SlipChip, Annual Review of Biophysics, Vol 39 39, 139-158.
- ^ 5.Melin, J., and Quake, S. R. (2007) Microfluidic large-scale integration: The evolution of design rules for biological automation, Annual Review of Biophysics and Biomolecular Structure 36, 213-231.
- ^ 6. Shen, F., Du, W. B., Kreutz, J. E., Fok, A., and Ismagilov, R. F. (2010) Digital PCR on a SlipChip, Lab on a Chip 10, 2666-2672.
- ^ 7. Greif, D., Pobigaylo, N., Frage, B., Becker, A., Regtmeier, J., and Anselmetti, D. (2010) Space- and time-resolved protein dynamics in single bacterial cells observed on a chip, Journal of Biotechnology 149, 280-288.
- ^ 8. Spiller, D. G., Wood, C. D., Rand, D. A., and White, M. R. H. (2010) Measurement of single-cell dynamics, Nature 465, 736-745.
- ^ 9. Lucchetta, E. M., Lee, J. H., Fu, L. A., Patel, N. H., and Ismagilov, R. F. (2005) Dynamics of Drosophila embryonic patterning network perturbed in space and time using microfluidics, Nature 434, 1134-1138.
- ^ 10. Young, E. W. K., and Beebe, D. J. (2010) Fundamentals of microfluidic cell culture in controlled microenvironments, Chemical Society Reviews 39, 1036-1048.
- ^ 11. Dertinger, S. K. W., Chiu, D. T., Jeon, N. L., and Whitesides, G. M. (2001) Generation of gradients having complex shapes using microfluidic networks, Analytical Chemistry 73, 1240-1246.
- ^ 12. Tice, J. D., Song, H., Lyon, A. D., and Ismagilov, R. F. (2003) Formation of droplets and mixing in multiphase microfluidics at low values of the Reynolds and the capillary numbers, Langmuir 19, 9127-9133.
- ^ 13. Vincent, M. E., Liu, W. S., Haney, E. B., and Ismagilov, R. F. (2010) Microfluidic stochastic confinement enhances analysis of rare cells by isolating cells and creating high density environments for control of diffusible signals, Chemical Society Reviews 39, 974-984.
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