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Biochip platforms as functional genomics tools for drug discovery.

Improvements in DNA microarray technology have resulted in the generation of data on a scale that, for the first time, permits detailed scrutiny of the human genome. These data provide the foundation for understanding not only the connections between genes and the purpose of genes in the human genome, but also the molecular basis of genetic defects. These advances have the potential to significantly improve healthcare management by improving disease diagnosis and specifically targeting molecular therapy. Herein, the current state of the technology is reviewed, the commercial platforms used by the biopharmaceutical industry are compared and contrasted, and recent efforts in cross-platform data integration are explored.

Animals↗

Paracoccidioides brasiliensis RNA biogenesis apparatus revealed by functional genome analysis.

The RNA biogenesis machinery of Paracoccidioides brasiliensis was assessed by comparative analyses of PbAESTs (P. brasiliensis assembled expressed sequence tags (ESTs)) with sequences from Saccharomyces cerevisiae MIPS database. PbAESTs related to almost all categories of S. cerevisiae RNA biogenesis were found. Two of the 12 S. cerevisiae RNA Pol II core subunits, Rpb3 and Rpb7, were found, probably reflecting the growth phase from which the cDNA libraries used in ESTs generation were constructed, as well as the low abundance of some of these transcripts. We have also found orthologs to TATA-box-binding protein (TBP), and at least one subunit of each TBP-associated factors (TFII) in P. brasiliensis transcriptome, except TFIIB. Genes associated to the chromatin remodeling complex, as well as transcription factors probably involved in the control of genes associated to a sexual cycle and virulence, were also identified. With respect to the pre-mRNA processing, 65 PbAEST orthologs to S. cerevisiae basal splicing machinery and 21 orthologs of 5'- and 3'-end formation processes were found. Components involved in RNA interference were detected, suggesting that this gene expression regulation mechanism is probably used by P. brasiliensis. Twelve PbAESTs related to Pol I and Pol III machineries were assigned as S. cerevisiae orthologs. Finally, 25 and 10 PbAESTs associated to rRNA and tRNA processing, respectively, were detected. Taken together, our results enable us to depict, for the first time, a global view of transcription and RNA processing in P. brasiliensis.

Expressed Sequence Tags↗

Genome-scale functional profiling of the mammalian AP-1 signaling pathway.

Large-scale functional genomics approaches are fundamental to the characterization of mammalian transcriptomes annotated by genome sequencing projects. Although current high-throughput strategies systematically survey either transcriptional or biochemical networks, analogous genome-scale investigations that analyze gene function in mammalian cells have yet to be fully realized. Through transient overexpression analysis, we describe the parallel interrogation of approximately 20,000 sequence annotated genes in cancer-related signaling pathways. For experimental validation of these genome data, we apply an integrative strategy to characterize previously unreported effectors of activator protein-1 (AP-1) mediated growth and mitogenic response pathways. These studies identify the ADP-ribosylation factor GTPase-activating protein Centaurin alpha1 and a Tudor domain-containing hypothetical protein as putative AP-1 regulatory oncogenes. These results provide insight into the composition of the AP-1 signaling machinery and validate this approach as a tractable platform for genome-wide functional analysis.

Animals↗

GIMS: an integrated data storage and analysis environment for genomic and functional data.

Effective analyses in functional genomics require access to many kinds of biological data. For example, the analysis of upregulated genes in a microarray experiment might be aided by information concerning protein interactions or proteins' cellular locations. However, such information is often stored in different formats at different sites, in ways that may not be amenable to integrated analysis. The Genome Information Management System (GIMS) is an object database that integrates genomic data with data on the transcriptome, protein-protein interactions, metabolic pathways and annotations, such as gene ontology terms and identifiers. The resulting system supports the running of analyses over this integrated data resource, and provides comprehensive facilities for handling and interrelating the results of these analyses. GIMS has been used to store Saccharomyces cerevisiae data, and we demonstrate how the integrated storage of diverse types of data can be beneficial for analysis, using combinations of complex queries. As an example, we describe how GIMS has been used to analyse a collection of aryl alcohol dehydrogenase gene deletion mutants. The GIMS database can be accessed remotely using a Java application that can be downloaded from http://img.cs.man.ac.uk/gims.

Computational Biology↗

SUPFAM--a database of potential protein superfamily relationships derived by comparing sequence-based and structure-based families: implications for structural genomics and function annotation in genomes.

Members of a superfamily of proteins could result from divergent evolution of homologues with insignificant similarity in the amino acid sequences. A superfamily relationship is detected commonly after the three-dimensional structures of the proteins are determined using X-ray analysis or NMR. The SUPFAM database described here relates two homologous protein families in a multiple sequence alignment database of either known or unknown structure. The present release (1.1), which is the first version of the SUPFAM database, has been derived by analysing Pfam, which is one of the commonly used databases of multiple sequence alignments of homologous proteins. The first step in establishing SUPFAM is to relate Pfam families with the families in PALI, which is an alignment database of homologous proteins of known structure that is derived largely from SCOP. The second step involves relating Pfam families which could not be associated reliably with a protein superfamily of known structure. The profile matching procedure, IMPALA, has been used in these steps. The first step resulted in identification of 1280 Pfam families (out of 2697, i.e. 47%) which are related, either by close homologous connection to a SCOP family or by distant relationship to a SCOP family, potentially forming new superfamily connections. Using the profiles of 1417 Pfam families with apparently no structural information, an all-against-all comparison involving a sequence-profile match using IMPALA resulted in clustering of 67 homologous protein families of Pfam into 28 potential new superfamilies. Expansion of groups of related proteins of yet unknown structural information, as proposed in SUPFAM, should help in identifying 'priority proteins' for structure determination in structural genomics initiatives to expand the coverage of structural information in the protein sequence space. For example, we could assign 858 distinct Pfam domains in 2203 of the gene products in the genome of Mycobacterium tubercolosis. Fifty-one of these Pfam families of unknown structure could be clustered into 17 potentially new superfamilies forming good targets for structural genomics. SUPFAM database can be accessed at http://pauling.mbu.iisc.ernet.in/~supfam.

Animals↗

Arabidopsis thaliana, a versatile model system for study of eukaryotic genome-maintenance functions.

The genome of the model plant Arabidopsis thaliana encodes many orthologs of human genome-maintenance proteins, and in several important cases plant DNA repair and mutation-antagonism functions resemble their mammalian counterparts more closely than do those of established microbial models. These orthologs, in conjunction with the powerful tools now available for work with Arabidopsis and the practical advantages of its small size and rapid life cycle, now make it an attractive model system for study of eukaryotic DNA repair and mutagenesis. Already, null mutations that inactivate proteins involved in repair of DNA double-strand breaks or in DNA translesion synthesis and are lethal in mice have proved to be tolerated by plants. This review compares in some detail the genome-maintenance activities encoded by plants, mammals and microbes, and describes important Arabidopsis tools and life cycle characteristics. It concludes with selected examples that illustrate Arabidopsis advantages and/or reveal new insights into genome-maintenance functions of general interest.

Animals↗

Combining data from genomes, Y2H and 3D structure indicates that BolA is a reductase interacting with a glutaredoxin.

Genomes, functional genomics data and 3D structure reflect different aspects of protein function. Here, we combine these data to predict that BolA, a widely distributed protein family with unknown function, is a reductase that interacts with a glutaredoxin. Comparisons at the 3D structure level as well as at the sequence profile level indicate homology between BolA and OsmC, an enzyme that reduces organic peroxides. Complementary to this, comparative analyses of genomes and genomics data provide strong evidence of an interaction between BolA and the mono-thiol glutaredoxin family. The interaction between BolA and a mono-thiol glutaredoxin is of particular interest because BolA does not, in contrast to its homolog OsmC, have evolutionarily conserved cysteines to provide it with reducing equivalents. We propose that BolA uses the mono-thiol glutaredoxin as the source for these.

Genome↗