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PubMed1981

Avian reticuloendotheliosis virus: characterization of genome structure by heteroduplex mapping.

The genome structure of defective, oncogenic avian reticuloendotheliosis virus (REV) was studied by heteroduplex mapping between the full-length complementary DNA of the helper virus REV-T1 and the 30S REV RNA. The REV genome (5.5 kilobases) had a deletion of 3.69 kilobases in the gag-pol region, confirming the genetic defectiveness of REV. In addition, REV lacked the sequences corresponding to the env gene but contained, instead, a contiguous stretch (1.6 to 1.9 kilobases) of the specific sequences presumably related to viral oncogenicity. Unlike those of other avian acute leukemia viruses, the transformation-specific sequences of REV were not contiguous with the gag-pol deletion. Thus, REV has a genome structure similar to that of a defective mink cell focus-inducing virus or a defective murine sarcoma virus. An additional class of heteroduplex molecules containing the gag-pol deletion and two other smaller deletion loops was observed. These molecules probably represented recombinants between the oncogenic REV and its helper virus.

Base Sequence↗
PubMed2005

Structural genomics of eukaryotic targets at a laboratory scale.

Structural genomics programs are distributed worldwide and funded by large institutions such as the NIH in United-States, the RIKEN in Japan or the European Commission through the SPINE network in Europe. Such initiatives, essentially managed by large consortia, led to technology and method developments at the different steps required to produce biological samples compatible with structural studies. Besides specific applications, method developments resulted mainly upon miniaturization and parallelization. The challenge that academic laboratories faces to pursue structural genomics programs is to produce, at a higher rate, protein samples. The Structural Biology and Genomics Department (IGBMC - Illkirch - France) is implicated in a structural genomics program of high eukaryotes whose goal is solving crystal structures of proteins and their complexes (including large complexes) related to human health and biotechnology. To achieve such a challenging goal, the Department has established a medium-throughput pipeline for producing protein samples suitable for structural biology studies. Here, we describe the setting up of our initiative from cloning to crystallization and we demonstrate that structural genomics may be manageable by academic laboratories by strategic investments in robotic and by adapting classical bench protocols and new developments, in particular in the field of protein expression, to parallelization.

Crystallization↗
PubMed2000

Structural genomics in Europe: slow start, strong finish?

Structural genomics in Europe is slowly coming off the ground. So far, European Commission funding is restricted to methods development projects, whereas structural genomics programs are funded from national sources. The research outlook is more toward techniques for high-throughput structure analysis than toward a systematic coverage of protein fold space. At present, there is little European coordination of the structural genomics effort.

Animals↗
PubMed2006

The impact of structural genomics: expectations and outcomes.

Structural genomics (SG) projects aim to expand our structural knowledge of biological macromolecules while lowering the average costs of structure determination. We quantitatively analyzed the novelty, cost, and impact of structures solved by SG centers, and we contrast these results with traditional structural biology. The first structure identified in a protein family enables inference of the fold and of ancient relationships to other proteins; in the year ending 31 January 2005, about half of such structures were solved at a SG center rather than in a traditional laboratory. Furthermore, the cost of solving a structure at the most efficient SG center in the United States has dropped to one-quarter of the estimated cost of solving a structure by traditional methods. However, the efficiency of the top structural biology laboratories-even though they work on very challenging structures-is comparable to that of SG centers; moreover, traditional structural biology papers are cited significantly more often, suggesting greater current impact.

Amino Acid Sequence↗
PubMed2003

Protein expression, genomic structure, and polymorphisms of oculomedin.

PURPOSE: To elucidate protein expression, genomic structure, and genomic polymorphisms of a novel gene, 'oculomedin', that has been cloned as a mechanical stretch-response gene from human trabecular cells in culture. METHODS: Polyclonal antibody was prepared by immunizing rabbits with a chemically synthesized 15-mer peptide of oculomedin. Protein expression was revealed by Western blot analysis after polyacrylamide gel electrophoresis of extracts of mechanically stretched trabecular cells and control trabecular cells in culture as well as retinal tissue. Protein localization was studied immunohistochemically in the human eye section. Genomic structure was determined by searching the GenBank database. Genomic polymorphisms of the coding region in 163 glaucoma patients and 50 normal subjects were detected by PCR amplification and direct sequencing. RESULTS: Western blot analysis showed that oculomedin protein was expressed only in stretched trabecular cells, not in control trabecular cells in culture. Immunohistochemically, oculomedin protein was localized to the trabecular meshwork, Schlemm's canal endothelium, retinal photoreceptor cells, and corneal and conjunctival epithelium. The oculomedin gene (OCLM) consists of two exons which are located inside an intron of a different gene of unknown function (C1orf27) on chromosome 1q25, near and telomeric to myocilin (MYOC). Two types of heterozygous nucleotide substitutions resulting in amino acid changes were found in two of 75 patients with primary open-angle glaucoma, but not at all in patients with other types of glaucoma or in normal subjects. CONCLUSIONS: Oculomedin may play a role in the function of the trabecular meshwork and also in the development of primary open-angle glaucoma.

Animals↗
PubMed2002

Investigating the relationship between genome structure, composition, and ecology in prokaryotes.

Our thesis is that the DNA composition and structure of genomes are selected in part by mutation bias (GC pressure) and in part by ecology. To illustrate this point, we compare and contrast the oligonucleotide composition and the mosaic structure in 36 complete genomes and in 27 long genomic sequences from archaea and eubacteria. We report the following findings (1) High-GC-content genomes show a large underrepresentation of short distances between G(n) and C(n) homopolymers with respect to distances between A(n) and T(n) homopolymers; we discuss selection versus mutation bias hypotheses. (2) The oligonucleotide compositions of the genomes of Neisseria (meningitidis and gonorrhoea), Helicobacter pylori and Rhodobacter capsulatus are more biased than the other sequenced genomes. (3) The genomes of free-living species or nonchronic pathogens show more mosaic-like structure than genomes of chronic pathogens or intracellular symbionts. (4) Genome mosaicity of intracellular parasites has a maximum corresponding to the average gene length; in the genomes of free-living and nonchronic pathogens the maximum occurs at larger length scales. This suggests that free-living species can incorporate large pieces of DNA from the environment, whereas for intracellular parasites there are recombination events between homologous genes. We discuss the consequences in terms of evolution of genome size. (5) Intracellular symbionts and obligate pathogens show small, but not zero, amount of chromosome mosaicity, suggesting that recombination events occur in these species.

AT Rich Sequence↗
PubMed2004

Phylogenetic clusters of rhizobia revealed by genome structures.

Rhizobia, bacteria that fix atmospheric nitrogen, are important agricultural resources. In order to establish the evolutionary relationships among rhizobia isolated from different geographic regions and different plant hosts for systematic studies, we evaluated the use of physical structure of the rhizobial genomes as a phylogenetic marker to categorize these bacteria. In this work, we analyzed the features of genome structures of 64 rhizobial strains. These rhizobial strains were divided into 21 phylogenetic clusters according to the features of genome structures evaluated by the endonuclease I-CeuI. These clusters were supported by 16S rRNA comparisons and genomic sequences of four rhizobial strains, but they are largely different from those based on the current taxonomic scheme (except 16S rRNA).

Genome, Bacterial↗
PubMed2004

Structural genomics of Caenorhabditis elegans: structure of the BAG domain.

Binding of the BAG domain to the eukaryotic chaperone heat-shock protein (Hsp70) promotes ATP-dependent release of the protein substrate from Hsp70. Although the murine and human BAG domains have been shown to form an antiparallel three-helix bundle, the Caenorhabditis elegans BAG domain is formed by two antiparallel helices, while the third helix is extended away and stabilized by crystal-packing interactions. A small beta-sheet between helices 2 and 3 interferes with formation of the intramolecular three-helix bundle. However, intermolecular three-helix bundles are observed throughout the crystal packing and suggest that stable functional dimers and tetramers can be formed in solution. The structure may represent a new folding type of the BAG domain.

Animals↗
PubMed2006

PDB-UF: database of predicted enzymatic functions for unannotated protein structures from structural genomics.

BACKGROUND: The number of protein structures from structural genomics centers dramatically increases in the Protein Data Bank (PDB). Many of these structures are functionally unannotated because they have no sequence similarity to proteins of known function. However, it is possible to successfully infer function using only structural similarity. RESULTS: Here we present the PDB-UF database, a web-accessible collection of predictions of enzymatic properties using structure-function relationship. The assignments were conducted for three-dimensional protein structures of unknown function that come from structural genomics initiatives. We show that 4 hypothetical proteins (with PDB accession codes: 1VH0, 1NS5, 1O6D, and 1TO0), for which standard BLAST tools such as PSI-BLAST or RPS-BLAST failed to assign any function, are probably methyltransferase enzymes. CONCLUSION: We suggest that the structure-based prediction of an EC number should be conducted having the different similarity score cutoff for different protein folds. Moreover, performing the annotation using two different algorithms can reduce the rate of false positive assignments. We believe, that the presented web-based repository will help to decrease the number of protein structures that have functions marked as "unknown" in the PDB file. AVAILABILITY: http://paradox.harvard.edu/PDB-UF and http://bioinfo.pl/PDB-UF.

Chromosome Mapping↗
PubMed2000

Structural genomics in North America.

Structural genomics in North America has moved remarkably quickly from ideas to pilot projects. Just three years ago, the field was only a concept, independently being discussed by its many inventors. Now it is already a well-organized, increasingly-funded, consortium-based effort to determine protein structures on a large scale.

Animals↗
PubMed2006

The RCSB PDB information portal for structural genomics.

The RCSB Protein Data Bank (PDB) offers online tools, summary reports and target information related to the worldwide structural genomics initiatives from its portal at http://sg.pdb.org. There are currently three components to this site: Structural Genomics Initiatives contains information and links on each structural genomics site, including progress reports, target lists, target status, targets in the PDB and level of sequence redundancy; Targets provides combined target information, protocols and other data associated with protein structure determination; and Structures offers an assessment of the progress of structural genomics based on the functional coverage of the human genome by PDB structures, structural genomics targets and homology models. Functional coverage can be examined according to enzyme classification, gene ontology (biological process, cell component and molecular function) and disease.

Databases, Protein↗
PubMed2003

The Southeast Collaboratory for Structural Genomics: a high-throughput gene to structure factory.

The Southeast Collaboratory for Structural Genomics consists of four working groups. The protein production group supplies/develops high-output production of Pyrococcus furiosus, Caenorhabditis elegans, and selected human proteins. The X-ray crystallography group conducts high-throughput structure production in parallel with production-related research/development in nanocrystallization robotics, capillary crystallization cassette, synchrotron/home X-ray instrumentation, sample mounting robotics, data processing and pipelined structure analysis, combined refinement/validation protocols, and direct use of unlabeled native crystals (Direct Crystallography). The NMR group emphasizes/develops sample screening and backbone structure determination from residual dipolar coupling data. The bioinformatics group implements/develops local database interfaces, pipelined sequence/structure information search/updates, and database/bioinformatics toolkits.

Animals↗
PubMed2004

The impact of structural genomics on the protein data bank.

The advent of structural genomics presents new challenges to the archive of biomacromolecular structures--the Protein Data Bank (PDB). As technologies involved in structure determination have advanced, both the number and size of structures available in the PDB have increased rapidly. The structural genomics initiatives are creating a large amount of data that needs to be tracked, archived, and made easily available. The PDB has developed tools to facilitate the rapid deposition of data produced by the structural genomics initiatives and has created databases to track the progress of the work.

Animals↗
PubMed2001

A structural genomics approach to the study of quorum sensing: crystal structures of three LuxS orthologs.

BACKGROUND: Quorum sensing is the mechanism by which bacteria control gene expression in response to cell density. Two major quorum-sensing systems have been identified, system 1 and system 2, each with a characteristic signaling molecule (autoinducer-1, or AI-1, in the case of system 1, and AI-2 in system 2). The luxS gene is required for the AI-2 system of quorum sensing. LuxS and AI-2 have been described in both Gram-negative and Gram-positive bacterial species and have been shown to be involved in the expression of virulence genes in several pathogens. RESULTS: The structure of the LuxS protein from three different bacterial species with resolutions ranging from 1.8 A to 2.4 A has been solved using an X-ray crystallographic structural genomics approach. The structure of LuxS reported here is seen to have a new alpha-beta fold. In all structures, an equivalent homodimer is observed. A metal ion identified as zinc was seen bound to a Cys-His-His triad. Methionine was found bound to the protein near the metal and at the dimer interface. CONCLUSIONS: These structures provide support for a hypothesis that explains the in vivo action of LuxS. Specifically, acting as a homodimer, the protein binds a methionine analog, S-ribosylhomocysteine (SRH). The zinc atom is in position to cleave the ribose ring in a step along the synthesis pathway of AI-2.

Amino Acid Sequence↗
PubMed2007

Strategies for high-throughput comparative modeling: applications to leverage analysis in structural genomics and protein family organization.

The technological breakthroughs in structural genomics were designed to facilitate the solution of a sufficient number of structures, so that as many protein sequences as possible can be structurally characterized with the aid of comparative modeling. The leverage of a solved structure is the number and quality of the models that can be produced using the structure as a template for modeling and may be viewed as the "currency" with which the success of a structural genomics endeavor can be measured. Moreover, the models obtained in this way should be valuable to all biologists. To this end, at the Northeast Structural Genomics Consortium (NESG), a modular computational pipeline for automated high-throughput leverage analysis was devised and used to assess the leverage of the 186 unique NESG structures solved during the first phase of the Protein Structure Initiative (January 2000 to July 2005). Here, the results of this analysis are presented. The number of sequences in the nonredundant protein sequence database covered by quality models produced by the pipeline is approximately 39,000, so that the average leverage is approximately 210 models per structure. Interestingly, only 7900 of these models fulfill the stringent modeling criterion of being at least 30% sequence-identical to the corresponding NESG structures. This study shows how high-throughput modeling increases the efficiency of structure determination efforts by providing enhanced coverage of protein structure space. In addition, the approach is useful in refining the boundaries of structural domains within larger protein sequences, subclassifying sequence diverse protein families, and defining structure-based strategies specific to a particular family.

Computational Biology↗