Metabolomics approach for enzyme discovery

The search for novel enzymes is an important but difficult task in functional genomics. Here, we present a systematic method based on in vitro assays in combination with metabolite profiling to discover novel enzymatic activities. A complex mixture of metabolites is incubated with purified candidate proteins and the reaction mixture is subsequently profiled by capillary electrophoresis electrospray ionization mass spectrometry (CE-MS). Specific changes in the metabolite composition can directly suggest the presence of an enzymatic activity while subsequent identification of the compounds whose level changed specifically can pinpoint the actual substrate(s) and product(s) of the reaction. We first evaluated the method using several Escherichia coli metabolic enzymes and then applied it to the functional screening of uncharacterized proteins. In this manner, YbhA and YbiV proteins were found to display both phosphotransferase and phosphatase activity toward different sugars/sugar phosphates. Our approach should be broadly applicable and useful for enzyme discovery in any system.     

Expanding functional spaces of enzymes by utilizing whole genome treasure for library construction

A huge database resulted from whole genome sequencings has provided a possibility of new information that is likely to extent the scope and thus changes the way of approach for the functional assigning of putative open reading frames annotated by whole genome sequence analyses. These are mainly realized by ease, one-step identification of putative genes using genomics or proteomics tools. A major challenge remained in biotechnology may translate these informations into better ways to screen or select a gene as a representative sequence. Further attempts to mine the related whole genes or partial DNA fragments from whole genome treasure, and then the incorporation of these sequences into a representative template, will result in the use of genetic information that can be translated into functional proteins or allowed the generation of new lineages as a valuable pool. Such screens enable rapid biochemical analysis and easy isolation of the target activity, thereby accelerating the screening of novel enzymes from the expanded library with related sequences. Information-based PCR amplification of whole genes and reconstitution of functional DNA fragments will provide a platform for expanding the functional spaces of potential enzymes, especially when used mixed- and metagenome as gene resources.     

Structural proteomics: a tool for genome annotation

In any newly sequenced genome, 30% to 50% of genes encode proteins with unknown molecular or cellular function. Fortunately, structural genomics is emerging as a powerful approach of functional annotation. Because of recent developments in high-throughput technologies, ongoing structural genomics projects are generating new structures at an unprecedented rate. In the past year, structural studies have identified many new structural motifs involved in enzymatic catalysis or in binding ligands or other macromolecules (DNA, RNA, protein). The efficiency by which function is deduced from structure can be further improved by the integration of structure with bioinformatics and other experimental approaches, such as screening for enzymatic activity or ligand binding.     

Biomining active cellulases from a mining bioremediation system

Functional metagenomics has emerged as a powerful method for gene model validation and enzyme discovery from natural and human engineered ecosystems. Here we report development of a high-throughput functional metagenomic screen incorporating bioinformatic and biochemical analyses features. A fosmid library containing 6144 clones sourced from a mining bioremediation system was screened for cellulase activity using 2,4-dinitrophenyl β-cellobioside, a previously proven cellulose model substrate. Fifteen active clones were recovered and fully sequenced revealing 9 unique clones with the ability to hydrolyse 1,4-β-d-glucosidic linkages. Transposon mutagenesis identified genes belonging to glycoside hydrolase (GH) 1, 3, or 5 as necessary for mediating this activity. Reference trees for GH 1, 3, and 5 families were generated from sequences in the CAZy database for automated phylogenetic analysis of fosmid end and active clone sequences revealing known and novel cellulase encoding genes. Active cellulase genes recovered in functional screens were subcloned into inducible high copy plasmids, expressed and purified to determine enzymatic properties including thermostability, pH optima, and substrate specificity. The workflow described here provides a general paradigm for recovery and characterization of microbially derived genes and gene products based on genetic logic and contemporary screening technologies developed for model organismal systems.     

Metabolomics, genomics, proteomics, and the identification of enzymes and their substrates and products

A large proportion of the genes in any plant genome encode enzymes of primary and specialized (secondary) metabolism. Not all plant primary metabolites, those that are found in all or most species, have been identified. Moreover, only a small portion of the estimated hundreds of thousand specialized metabolites, those found only in restricted lineages, have been studied in any species. The correlative analysis of extensive metabolic profiling and gene expression profiling has proven a powerful approach for the identification of candidate genes and enzymes, particularly those in secondary metabolism. The final characterization of substrates, enzymatic activities, and products requires biochemical analysis, which has been most successful when candidate proteins have homology to other enzymes of known function. The challenges are to identify new types of enzymes and to develop biochemical techniques that are suitable for large-scale analysis.     

Structural and functional characterization of a novel phosphodiesterase from Methanococcus jannaschii

Methanococcus jannaschii MJ0936 is a hypothetical protein of unknown function with over 50 homologs found in many bacteria and Archaea. To help define the molecular (biochemical and biophysical) function of MJ0936, we determined its crystal structure at 2.4-A resolution and performed a series of biochemical screens for catalytic activity. The overall fold of this single domain protein consists of a four-layered structure formed by two beta-sheets flanked by alpha-helices on both sides. The crystal structure suggested its biochemical function to be a nuclease, phosphatase, or nucleotidase, with a requirement for some metal ions. Crystallization in the presence of Ni(2+) or Mn(2+) produced a protein containing a binuclear metal center in the putative active site formed by a cluster of conserved residues. Analysis of MJ0936 against a panel of general enzymatic assays revealed catalytic activity toward bis-p-nitrophenyl phosphate, an indicator substrate for phosphodiesterases and nucleases. Significant activity was also found with two other phosphodiesterase substrates, thymidine 5'-monophosphate p-nitrophenyl ester and p-nitrophenylphosphorylcholine, but no activity was found for cAMP or cGMP. Phosphodiesterase activity of MJ0936 had an absolute requirement for divalent metal ions with Ni(2+) and Mn(2+) being most effective. Thus, our structural and enzymatic studies have identified the biochemical function of MJ0936 as that of a novel phosphodiesterase.     

Decrypting the biochemical function of an essential gene from Streptococcus pneumoniae using ThermoFluor technology

The protein product of an essential gene of unknown function from Streptococcus pneumoniae was expressed and purified for screening in the ThermoFluor affinity screening assay. This assay can detect ligand binding to proteins of unknown function. The recombinant protein was found to be in a dimeric, native-like folded state and to unfold cooperatively. ThermoFluor was used to screen the protein against a library of 3000 compounds that were specifically selected to provide information about possible biological functions. The results of this screen identified pyridoxal phosphate and pyridoxamine phosphate as equilibrium binding ligands (K(d) approximately 50 pM, K(d) approximately 2.5 microM, respectively), consistent with an enzymatic cofactor function. Several nucleotides and nucleotide sugars were also identified as ligands of this protein. Sequence comparison with two enzymes of known structure but relatively low overall sequence homology established that several key residues directly involved in pyridoxal phosphate binding were strictly conserved. Screening a collection of generic drugs and natural products identified the antifungal compound canescin A as an irreversible covalent modifier of the enzyme. Our investigation of this protein indicates that its probable biological role is that of a nucleoside diphospho-keto-sugar aminotransferase, although the preferred keto-sugar substrate remains unknown. These experiments demonstrate the utility of a generic affinity-based ligand binding technology in decrypting possible biological functions of a protein, an approach that is both independent of and complementary to existing genomic and proteomic technologies.     

Integrating structure,bioinformatics, and enzymology to discover function: BioH,a new carboxylesterase from Escherichia coli

Structural proteomics projects are generating three-dimensional structures of novel, uncharacterized proteins at an increasing rate. However, structure alone is often insufficient to deduce the specific biochemical function of a protein. Here we determined the function for a protein using a strategy that integrates structural and bioinformatics data with parallel experimental screening for enzymatic activity. BioH is involved in biotin biosynthesis in Escherichia coli and had no previously known biochemical function. The crystal structure of BioH was determined at 1.7 A resolution. An automated procedure was used to compare the structure of BioH with structural templates from a variety of different enzyme active sites. This screen identified a catalytic triad (Ser82, His235, and Asp207) with a configuration similar to that of the catalytic triad of hydrolases. Analysis of BioH with a panel of hydrolase assays revealed a carboxylesterase activity with a preference for short acyl chain substrates. The combined use of structural bioinformatics with experimental screens for detecting enzyme activity could greatly enhance the rate at which function is determined from structure.     

Unstructured conformations are a substrate requirement for the Sir2 family of NAD-dependent protein deacetylases

The regulation of protein function is often achieved through post-translational modifications including phosphorylation, methylation, ubiquitination, and acetylation. The role of acetylation has been most extensively studied in the context of histones, but it is becoming increasingly evident that this modification now includes other proteins. The Sir2 family of NAD-dependent deacetylases was initially recognized as mediating gene silencing through histone deacetylation, but several family members display non-nuclear sub-cellular localization and deacetylate non-histone protein substrates. Although many structural and enzymatic studies of Sir2 proteins have been reported, how substrate recognition is achieved by this family of enzymes is unknown. Here we use in vitro deacetylase assays and a variety of potential substrates to examine the substrate specificity of yeast homologue Hst2. We show that Hst2 is specific for acetyl-lysine within proteins; it does not deacetylate small polycations such as acetyl-spermine or acetylated amino ter-mini of proteins. Furthermore we have found that Hst2 displays conformational rather than sequence specificity, preferentially deacetylating acetyl-lysine within unstructured regions of proteins. Our results suggest that this conformational requirement may be a general feature for substrate recognition in the Sir2 family.     

Golgi enzymes that synthesize plant cell wall polysaccharides: finding and evaluating candidates in the genomic era

Although the synthesis of cell wall polysaccharides is a critical process during plant cell growth and differentiation, many of the wall biosynthetic genes have not yet been identified. This review focuses on the synthesis of non-cellulosic matrix polysaccharides formed in the Golgi apparatus. Our consideration is limited to two types of plant cell wall biosynthetic enzymes: glycan synthases and glycosyltransferases. Classical means of identifying these enzymes and the genes that encode them rely on biochemical purification of enzyme activity to obtain amino acid sequence data that is then used to identify the corresponding gene. This type of approach is difficult, especially when acceptor substrates for activity assays are unavailable, as is the case for many enzymes. However, bioinformatics and functional genomics provide powerful alternative means of identifying and evaluating candidate genes. Database searches using various strategies and expression profiling can identify candidate genes. The involvement of these genes in wall biosynthesis can be evaluated using genetic, reverse genetic, biochemical, and heterologous expression methods. Recent advances using these methods are considered in this review.     

The German cDNA Network: cDNAs,functional genomics and proteomics

Among the greatest challenges facing biology today is the exploitation of huge amounts of genomic data, and their conversion into functional information about the proteins encoded. For example, the large-scale cDNA sequencing project of the German cDNA Consortium is providing vast numbers of open reading frames (ORFs) encoding novel proteins of completely unknown function. As a first step towards their characterization we have tagged over 500 of these with the green fluorescent protein (GFP), and examined the subcellular localizations of these fusion proteins in living cells. These data have allowed us to classify the proteins into subcellular groups which determines the next step towards a detailed functional characterization. To make further use of these GFP-tagged constructs, a series of functional assays have been designed and implemented to assess the effect of these novel proteins on processes such as cell growth, cell death, and protein transport.Functional assays with such a large set of molecules is only possible by automation. Therefore, we have developed, and adapted, functional assays for use by robotic liquid handling stations and reading stations. A transport assay allows to identify proteins which localize to distinct organelles of the secretory pathway and have the potential to be new regulators in protein transport, a proliferation assay helps identifying proteins that stimulate or repress mitosis. Further assays to monitor the effects of the proteins in apoptosis and signal transduction pathways are in progress. Integrating the functional information that is generated in the assays with data from expression profiling and further functional genomics and proteomics approaches, will ultimately allow us to identify functional networks of proteins in a morphological context, and will greatly contribute to our understanding of cell function.     

Biochemical approaches for discovering protein-protein interactions

Protein–protein interactions or protein complexes are integral in nearly all cellular processes, ranging from metabolism to structure. Elucidating both individual protein associations and complex protein interaction networks, while challenging, is an essential goal of functional genomics. For example, discovering interacting partners for a 'protein of unknown function' can provide insight into actual function far beyond what is possible with sequence-based predictions, and provide a platform for future research. Synthetic genetic approaches such as two-hybrid screening often reveal a perplexing array of potential interacting partners for any given target protein. It is now known, however, that this type of anonymous screening approach can yield high levels of false-positive results, and therefore putative interactors must be confirmed by independent methods. In vitro biochemical strategies for identifying interacting proteins are varied and time-honored, some being as old as the field of protein chemistry itself. Herein we discuss five biochemical approaches for isolating and characterizing protein–protein interactions in vitro : co-immunoprecipitation, blue native gel electrophoresis, in vitro binding assays, protein cross-linking, and rate-zonal centrifugation. A perspective is provided for each method, and where appropriate specific, trial-tested methods are included.     

Functional protein microarrays

Microarrays of immobilized functional proteins have the potential to increase dramatically the throughput of proteomic analysis. Micro-immunoassays, in which biological samples are exposed to arrays of immobilized antibodies, can be used for protein expression profiling. In addition, protein function can be elucidated by performing binding and enzymatic assays on arrays of biologically active proteins.     

Structure-based inference of molecular functions of proteins of unknown function from Berkeley Structural Genomics Center

Advances in sequence genomics have resulted in an accumulation of a huge number of protein sequences derived from genome sequences. However, the functions of a large portion of them cannot be inferred based on the current methods of sequence homology detection to proteins of known functions. Three-dimensional structure can have an important impact in providing inference of molecular function (physical and chemical function) of a protein of unknown function. Structural genomics centers worldwide have been determining many 3-D structures of the proteins of unknown functions, and possible molecular functions of them have been inferred based on their structures. Combined with bioinformatics and enzymatic assay tools, the successful acceleration of the process of protein structure determination through high throughput pipelines enables the rapid functional annotation of a large fraction of hypothetical proteins. We present a brief summary of the process we used at the Berkeley Structural Genomics Center to infer molecular functions of proteins of unknown function.     

Mass-spectrometry-linked screening of protein fractions for enzymatic activities--a tool for functional genomics

A simple and rapid strategy is described to screen protein fractions for defined enzymatic activity. A protein fraction from a porcine kidney extract was immobilized by covalent coupling to activated affinity beads. The immobilized proteins were incubated with probes specific for different enzyme activities. The reaction products were analyzed by matrix-assisted laser desorption/ionization (MALDI)-mass spectrometry. The MALDI spectra indicate the presence of 5'-nucleotidase, phosphatase, kinase, glutathione reductase, and renin activities in the kidney protein extract. Furthermore, the method can be used to screen for inhibitors of enzymatic reactions. The method is adaptable to high-throughput sample handling and automated mass spectrometric analysis and therefore suited for functional genomics.