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PubMed2004

The structural genomics experimental pipeline: insights from global target lists.

Structural genomics (SG) initiatives are currently attempting to achieve the high-throughput determination of protein structures on a genome-wide scale. Here we analyze the SG target data that have been publicly released over a period of 16 months to assess the potential of the SG initiatives. We use statistical techniques most commonly applied in epidemiology to describe the dynamics of targets through the experimental SG pipeline. There is no clear bottleneck among the key stages of cloning, expression, purification and crystallization. An SG target will progress through each of these steps with a probability of approximately 45%. Around 80% of targets with diffraction data will yield a crystal structure, and 20% of targets with HSQC spectra will yield an NMR structure. We also find the overlaps among SG targets: 61% of SG protein sequences share at least 30% sequence identity with one or more other SG targets. There is no significant difference in average structure quality among SG structures and other structures in the PDB determined by "traditional" methods, but on average SG structures are deposited to the PDB twice as quickly after X-ray data collection.

Animals↗

PubMed2003

Structural genomics of Mycobacterium tuberculosis: a preliminary report of progress at UCLA.

The growing list of fully sequenced genomes, combined with innovations in the fields of structural biology and bioinformatics, provides a synergy for the discovery of new drug targets. With this background, the TB Structural Genomics Consortium has been formed. This international consortium is comprised of laboratories from 31 universities and institutes in 13 countries. The goal of the consortium is to determine the structures of over 400 potential drug targets from the genome of Mycobacterium tuberculosis and analyze their structures in the context of functional information. We summarize the efforts of the UCLA consortium members. Potential drug targets were selected using a variety of bioinformatics methods and screened for certain physical and species-specific properties to yield a starting group of protein targets for structure determination. Target determination methods include protein phylogenetic profiles and Rosetta Stone methods, and the use of related biochemical pathways to select genes linked to essential prokaryotic genes. Criteria imposed on target selection included potential protein solubility, protein or domain size, and targets that lack homologs in eukaryotic organisms. In addition, some protein targets were chosen that are specific to M. tuberculosis, such as PE and PPE domains. Thus far, the UCLA group has cloned 263 targets, expressed 171 proteins and purified 40 proteins, which are currently in crystallization trials. Our efforts have yielded 13 crystals and eight structures. Seven structures are summarized here. Four of the structures are secreted proteins: antigen 85B; MPT 63, which is one of the three major secreted proteins of M. tuberculosis; a thioredoxin derivative Rv2878c; and potentially secreted glutamate synthetase. We also report the structures of three proteins that are potentially essential to the survival of M. tuberculosis: a protein involved in the folate biosynthetic pathway (Rv3607c); a protein involved in the biosynthesis of vitamin B5 (Rv3602c); and a pyrophosphatase, Rv2697c. Our approach to the M. tuberculosis structural genomics project will yield information for drug design and vaccine production against tuberculosis. In addition, this study will provide further insights into the mechanisms of mycobacterial pathogenesis.

Bacterial Proteins↗

PubMed2004

Structural genomics for Caenorhabditis elegans: high throughput protein expression analysis.

The structural genomics initiatives have begun with the aim to create a so-called "basic set library" of protein folds that will be used to improve protein prediction methods. Such a library is thought to require the determination of up to 10,000 new structures, including representative structures of several sequence variants from each protein fold. To meet this goal in a reasonable time frame and cost, automated systems must be utilized to clone and to identify the soluble recombinant proteins contained in multiple genomes. This paper presents such a system, developed using the genome of Caenorhabditis elegans (19,099 genes) as a model eukaryotic organism for structural genomics. This system successfully automates nearly all aspects of recombinant protein expression analysis including subcloning, bacterial growth, recombinant protein expression, protein purification, and scoring protein solubility.

Animals↗

PubMedDate not supplied

Analysis of the genome structure of influenza A virus strains isolated during the epidemics of 1977-1980.

The genome structure of different A(H1N1) and A(H3N2) influenza virus strains isolated from 1977 to 1980 was analysed by electrophoresis of single-stranded RNA and of the double-stranded RNA obtained by hybridization with complementary RNA of the A/Stavropol 188/79 (H3N2) strain. The differences in genome structure are insignificant within the A(H1N1) subtype, and considerable (involving almost all the 8 RNA fragments) between the two A(H3N2) strains (A/Texas 1/77 and A/Stavropol 188/79). The great differences between the genomes of A(H1N1) and A(H3N2) strains do not exclude certain genetic relationships between these viruses.

Base Sequence↗

PubMed2000

An overview of structural genomics.

With access to sequences of entire human genomes plus those of various model organisms and many important microbial pathogens, structural biology is on the verge of a dramatic transformation. Our newfound wealth of sequence information will serve as the foundation for an important initiative in structural genomics. We are poised to embark on a systematic program of high-throughput X-ray crystallography and NMR spectroscopy aimed at developing a comprehensive view of the protein structure universe. Structural genomics will yield a large number of experimental protein structures (tens of thousands) and an even larger number of calculated comparative protein structure models (millions). This enormous body of structural data will be freely available, and promises to accelerate scientific discovery in all areas of biological science, including biodiversity and evolution in natural ecosystems, agricultural plant genetics, breeding of farm and domestic animals, and human health and disease.

Animals↗

PubMed2000

Structural genomics of RNA.

A detailed understanding of the functions and interactions of biological macromolecules requires knowledge of their molecular structures. Structural genomics, the systematic determination of all macromolecular structures represented in a genome, is focused at present exclusively on proteins. It is clear, however, that RNA molecules play a variety of significant roles in cells, including protein synthesis and targeting, many forms of RNA processing and splicing, RNA editing and modification, and chromosome end maintenance. To comprehensively understand the biology of a cell, it will ultimately be necessary to know the identity of all encoded RNAs, the molecules with which they interact and the molecular structures of these complexes. This report focuses on the feasibility of structural genomics of RNA, approaches to determining RNA structures and the potential usefulness of an RNA structural database for both predicting folds and deciphering biological functions of RNA molecules.

Computational Biology↗

PubMed2005

NMR screening and crystal quality of bacterially expressed prokaryotic and eukaryotic proteins in a structural genomics pipeline.

In the Joint Center for Structural Genomics, one-dimensional (1D) 1H NMR spectroscopy is routinely used to characterize the folded state of protein targets and, thus, serves to guide subsequent crystallization efforts and to identify proteins for NMR structure determination. Here, we describe 1D 1H NMR screening of a group of 79 mouse homologue proteins, which correlates the NMR data with the outcome of subsequent crystallization experiments and crystallographic structure determination. Based on the 1D 1H NMR spectra, the proteins are classified into four groups, "A" to "D." A-type proteins are candidates for structure determination by NMR or crystallography; "B"-type are earmarked for crystallography; "C" indicates folded globular proteins with broadened line shapes; and "D" are nonglobular, "unfolded" polypeptides. The results obtained from coarse- and fine-screen crystallization trials imply that only A- and B-type proteins should be used for extensive crystallization trials in the future, with C and D proteins subjected only to coarse-screen crystallization trials. Of the presently studied 79 soluble protein targets, 63% yielded A- or B-quality 1D 1H NMR spectra. Although similar yields of crystallization hits were obtained for all four groups, A to D, crystals from A- and B-type proteins diffracted on average to significantly higher resolution than crystals produced from C- or D-type proteins. Furthermore, the output of refined crystal structures from this test set of proteins was 4-fold higher for A- and B-type than for C- and D-type proteins.

Animals↗

PubMed1999

Genomic structure, mapping, and expression analysis of the mammalian Lunatic, Manic, and Radical fringe genes.

The three members of the mammalian fringe gene family, Manic fringe (Mfng), Radical fringe (Rfng), and Lunatic fringe (Lfng), were identified on the basis of their similarity to Drosophila fringe (fng) and their participation in the evolutionarily conserved Notch receptor signaling pathway. Fringe genes encode pioneer secretory proteins with weak similarity to glycosyltransferases. Both expression patterns and functional studies support an important role for Fringe genes in patterning during embryonic development and an association with cellular transformation. We have now further characterized the expression and determined the chromosomal localization and genomic structure of the mouse Mfng, Rfng, and Lfng genes; the genomic structure and conceptual open reading frame of the human RFNG gene; and the refined chromosomal localization of the three human fringe genes. The mouse Fringe genes are expressed in the embryo and in adult tissues. The mouse and human Fringe family members map to three different chromosomes in regions of conserved synteny: Mfng maps to mouse Chr 15, and MFNG maps to human Chr 22q13.1 in the region of two cancer-associated loci; Lfng maps to mouse Chr 5, and LFNG maps to human Chr 7p22; Rfng maps to mouse Chr 11, and RFNG maps to human Chr 17q25 in the minimal region for a familial psoriasis susceptibility locus. Characterization of the genomic loci of the Fringe gene family members reveals a conserved genomic organization of 8 exons. Comparative analysis of mammalian Fringe genomic organization suggests that the first exon is evolutionarily labile and that the Fringe genes have a genomic structure distinct from those of previously characterized glycosyltransferases.

Animals↗

PubMed2005

Comparison of genomic structures in the serovar 1/2a Listeria monocytogenes isolated from meats and listeriosis patients in Japan.

Foodborne disease by Listeria monocytogenes, serovar 1/2a has recently been reported in many countries. Although contamination by this bacteria is also known to be gradually spreading among the marketed foods of Japan, there is little information on relation between listeriosis and food contamination. In the present study, the characteristics of the genomic structures of serovar 1/2a were compared among the isolates from marketed meats and listeriosis patients. Several isolates from meats purchased at the same shop on different days had the same genomic structure, and prolonged contamination was suggested by the conditions in the shop. Genomic structures of one strain isolated from meat were identical to those of two isolates from a patient. Another isolate was obtained from meats purchased at two different shops, and this isolate was also identical to that of the isolates from another patient. These findings suggest that the isolates from meat may have caused the listeriosis in the patients, and that the strains may have somehow traveled between the shops.

Animals↗

PubMed1988

Genomic structure and sequence variation of a 3.3-kb repeat DNA element of the kangaroo rat, Dipodomys ordii.

The genomic structure and sequence variation of a 3.3-kb repeat DNA element, representing 5% of the genome of the kangaroo rat Dipodomys ordii, has been investigated. Most of the repeats are arranged in tandem arrays of 50 kb or more. Thirteen randomly selected genomic clones have been mapped with twelve restriction enzymes. The frequency of sequence divergence in the genomic clones is 0.5%. The clone maps and the genomic structure studies have permitted the characterization of a number of variant members of the 3.3-kb repeat family. The genomic organization of the repeat resembles that for repeated DNAs found in large tandem arrays or satellites.

Animals↗

PubMed1995

The genomic structure of the STAT genes: multiple exons in coincident sites in Stat1 and Stat2.

The genomic structure of Stat2 has been determined and compared with a large portion of the Stat1 gene. There are 24 exons in the Stat2 gene and a matching number in very similar positions in the Stat1 gene. Thus a very complicated genomic structure was presumably duplicated and has been closely maintained throughout evolution.

Alternative Splicing↗

PubMed2003

Coverage of protein sequence space by current structural genomics targets.

By its purest definition the ultimate goal of structural genomics (SG) is the determination of the structures of all proteins encoded by genomes. Most of these will be obtained by homology modeling using the structures of a set of target proteins for experimental determination. Thanks to the open exchange of SG target information, we are able to analyze the sequences of the current target list to evaluate the extent of its coverage of protein sequence space. The presence of homologous sequences currently either in the Protein Data Bank (PDB) or among SG targets has been determined for each of the protein sequences in several organisms. In this way we are able to evaluate the coverage by existing or targeted structural data for the non-membranous parts of entire proteomes. For small bacterial proteomes such as that of H. influenzae almost all proteins have homologous sequences among SG targets or in the PDB. There is significantly lower coverage for more complex organisms, such as C. elegans. We have mapped the SG target list onto the ProtoMap clustering of protein sequences. Clusters occupied by SG targets represent over 150,000 protein sequences, which is approximately 44% of the total protein sequences classified by ProtoMap. The mapping of SG targets also enables an evaluation of the degree of overlap within the target list. An SG target typically occupies a ProtoMap cluster with more than six other homologous targets.

Algorithms↗

PubMed2004

Protein crystallization in the structural genomics era.

There are five broad areas where noteworthy advances have occurred in the field of macromolecular crystallization in the past 10 years, though some areas have seen the major part of those advances in only the last two years. This is largely a consequence of the international structural genomics initiative and its early results. The five areas are: (1) Physical studies and characterization of the protein crystallization process; (2) Development of new practical approaches and procedures; (3) The implementation of protein engineering by genetic means to enhance both purification and crystallization; (4) The creation of new screening conditions based on information and databases emerging from structural genomics; and (5) Development and implementation of automation, robotics, and mass screening of crystallization conditions using very small amounts of protein. A brief summary is provided here of the progress in the past few years and the influence of the structural genomics project.

Automation↗

PubMed1993

Genomic structure of the human CD53 gene.

The genomic structure of the gene encoding human pan-leukocyte surface glycoprotein CD53 (a member of the "tetraspan family" of membrane proteins) was determined. The gene consists of eight exons encoding all sequences found in cDNA and is spread over more than 26 kilobases of genomic DNA. The exon-intron organization of the CD53 gene is strikingly similar to the CD63 and TAPA-1 genes, which suggests a close evolutionary relationship between these genes. The 5' end of the gene upstream of the first exon contains at least three close transcription start points (approximately 20 base pairs 5' of the 5' end of the published cDNA). The region upstream of the transcription initiation sites is not G+C rich; it contains potential binding sites for several transcriptional factors but no TATA or CCAAT boxes.

Amino Acid Sequence↗

PubMed2005

Robotic cloning and Protein Production Platform of the Northeast Structural Genomics Consortium.

In this chapter we describe the core Protein Production Platform of the Northeast Structural Genomics Consortium (NESG) and outline the strategies used for producing high-quality protein samples using Escherichia coli host vectors. The platform is centered on 6X-His affinity-tagged protein constructs, allowing for a similar purification procedure for most targets, and the implementation of high-throughput parallel methods. In most cases, these affinity-purified proteins are sufficiently homogeneous that a single subsequent gel filtration chromatography step is adequate to produce protein preparations that are greater than 98% pure. Using this platform, over 1000 different proteins have been cloned, expressed, and purified in tens of milligram quantities over the last 36-month period (see Summary Statistics for All Targets, ). Our experience using a hierarchical multiplex expression and purification strategy, also described in this chapter, has allowed us to achieve success in producing not only protein samples but also many three-dimensional structures. As of December 2004, the NESG Consortium has deposited over 145 new protein structures to the Protein Data Bank (PDB); about two-thirds of these protein samples were produced by the NESG Protein Production Facility described here. The methods described here have proven effective in producing quality samples of both eukaryotic and prokaryotic proteins. These improved robotic and?or parallel cloning, expression, protein production, and biophysical screening technologies will be of broad value to the structural biology, functional proteomics, and structural genomics communities.

Chromatography, Gel↗

PubMed2001

Genomic structures of SCN2A and SCN3A - candidate genes for deafness at the DFNA16 locus.

DFNA16 is a form of autosomal dominant non-syndromic hearing loss (ADNSHL) characterized by fluctuating progressive hearing impairment. Earlier, we mapped the deafness-causing gene to chromosome 2q23-24.3. In this paper, we describe fine mapping results using additional markers tightly linked to the DFNA16 candidate region. Critical recombinants at markers D2S354 and D2S124 define a 3.5-cM interval that contains the DFNA16 gene. Positional candidate genes include two members of the voltage-gated sodium channel family, the type 2 alpha subunit (SCN2A) and the type 3 alpha subunit (SCN3A). After showing that SCN2A is expressed in human fetal cochlea, we determined its genomic structure to facilitate mutation screening in our DFNA16 kindred. We also determined the genomic structure of SCN3A. These two genes are oriented head-to-head, with their 5' ends separated by approximately 40 kb; their homology is 82% at the nucleotide level, and 85% for identities and 90% for positives at the amino acid level. They share similar genomic structures and have alternative splice isoforms that are developmentally regulated and highly conserved between species. Although no DFNA16-causing mutations were found in either gene, haplotype analysis with polymorphic markers in SCN2A introns further narrowed the candidate gene interval to the region flanked by D2S354 and STS SHGC-82894.

Alternative Splicing↗

PubMed2003

The Protein Data Bank and structural genomics.

The Protein Data Bank (PDB; http://www.pdb.org/) continues to be actively involved in various aspects of the informatics of structural genomics projects--developing and maintaining the Target Registration Database (TargetDB), organizing data dictionaries that will define the specification for the exchange and deposition of data with the structural genomics centers and creating software tools to capture data from standard structure determination applications.

Animals↗

PubMed2004

LOCnet and LOCtarget: sub-cellular localization for structural genomics targets.

LOCtarget is a web server and database that predicts and annotates sub-cellular localization for structural genomics targets; LOCnet is one of the methods used in LOCtarget that can predict sub-cellular localization for all eukaryotic and prokaryotic proteins. Targets are taken from the central registration database for structural genomics, namely, TargetDB. LOCtarget predicts localization through a combination of four different methods: known nuclear localization signals (PredictNLS), homology-based transfer of experimental annotations (LOChom), inference through automatic text analysis of SWISS-PROT keywords (LOCkey) and de novo prediction through a system of neural networks (LOCnet). Additionally, we report predictions from SignalP. The final prediction is based on the method with the highest confidence. The web server can be used to predict sub-cellular localization of proteins from their amino acid sequence. The LOCtarget database currently contains localization predictions for all eukaryotic proteins from TargetDB and is updated every week. The server is available at http://www.rostlab.org/services/LOCtarget/.

Databases, Genetic↗