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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↗

Functional analysis of members of the isoflavone and isoflavanone O-methyltransferase enzyme families from the model legume Medicago truncatula.

Previous studies have identified two distinct O-methyltransferases (OMTs) implicated in isoflavonoid biosynthesis in Medicago species, a 7-OMT methylating the A-ring 7-hydroxyl of the isoflavone daidzein and a 4'-OMT methylating the B-ring 4'-hydroxyl of 2,7,4'-trihydroxyisoflavanone. Genes related to these OMTs from the model legume Medicago truncatula cluster as separate branches of the type I plant small molecule OMT family. To better understand the possible functions of these related OMTs in secondary metabolism in M. truncatula, seven of the OMTs were expressed in E. coli, purified, and their in vitro substrate preferences determined. Many of the enzymes display promiscuous activities, and some exhibit dual regio-specificity for the 4' and 7-hydroxyl moieties of the isoflavonoid nucleus. Protein structure homology modeling was used to help rationalize these catalytic activities. Transcripts encoding the different OMT genes exhibited differential tissue-specific and infection- or elicitor-induced expression, but not always in parallel with changes in expression of confirmed genes of the isoflavonoid pathway. The results are discussed in relation to the potential in vivo functions of these OMTs based on our current understanding of the phytochemistry of M. truncatula, and the difficulties associated with gene annotation in plant secondary metabolism.

Chromatography, High Pressure Liquid↗

Genome-wide detection of human 5' UTR variants that impact protein translation.

The 5' untranslated region (5' UTR) of messenger RNAs (mRNAs) plays a central role in regulating protein synthesis initiation, particularly through the Kozak sequence and upstream open reading frames (uORFs). Genetic variants within these regulatory elements could affect translation, altering gene expression and contributing to clinical phenotypes in humans. We developed a computational method called 5ULTRA (5' Untranslated Region Annotation) for analysis of whole-exome sequencing and whole-genome sequencing data to detect, annotate, and prioritize 5' UTR variants with potential translation impact. 5ULTRA identifies single-nucleotide variants, indels, and splicing variants that affect uORFs by creating or disrupting start/stop codons and that alter Kozak sequence strength of either the uORFs or the main coding sequence. 5ULTRA incorporates recent uORF databases and provides comprehensive annotations. 5ULTRA implements a machine-learning score to prioritize candidate variants with predicted effects on translation and also provides specific mechanistic predictions. The score correlates strongly with experimentally measured protein-level effects of 5' UTR variants. We applied 5ULTRA to multiple genetics datasets across diverse disease contexts, identifying candidate variants including potential cancer-driving somatic mutations predicted to decrease ABI1 level or increase NRAS abundance; common variants associated with traits such as multiple sclerosis, lung function, and cardiovascular function, by altering protein levels of TAGAP, VRTN, and SPAAR, respectively; and rare germline variants in our cohort, including a splicing variant of RPSA leading to 5' UTR sequence alteration that causes congenital asplenia and a variant of TNF that could predispose to tuberculosis.

Humans↗

Differential genome analysis applied to the species-specific features of Helicobacter pylori.

We introduce a simple and rapid strategy to identify genes that are responsible for species-specific phenotypes. The genome of a species that has a specific phenotype is compared with at least one, closely related, species that lacks this phenotype. Homologous genes that are shared among the species compared are identified and discarded from the list of candidates for species-specific genes. The process is automated and rapidly yields a small subset of the genome that likely contains genes responsible for the species-specific features. Functions are assigned to the genes, and dubious annotations are filtered out. Information is extracted not only from the presence of genes, but also from their absence with respect to known phenotypes. We have applied the technique to identify a set of species-specific genes in Helicobacter pylori by comparing it with its closest relatives for which complete genome sequences are available, Haemophilus influenzae and Escherichia coli. Of the genes of this set for which functional features can be obtained, a large fraction (63%, 123 proteins) is (potentially) involved in H. pylori's interaction with its host. We hypothesize that a family of outer membrane proteins is critical for the ability of H. pylori to colonize host cells in highly acidic environments.

Amino Acid Sequence↗

Dynamic covariation between gene expression and proteome characteristics.

BACKGROUND: Cells react to changing intra- and extracellular signals by dynamically modulating complex biochemical networks. Cellular responses to extracellular signals lead to changes in gene and protein expression. Since the majority of genes encode proteins, we investigated possible correlations between protein parameters and gene expression patterns to identify proteome-wide characteristics indicative of trends common to expressed proteins. RESULTS: Numerous bioinformatics methods were used to filter and merge information regarding gene and protein annotations. A new statistical time point-oriented analysis was developed for the study of dynamic correlations in large time series data. The method was applied to investigate microarray datasets for different cell types, organisms and processes, including human B and T cell stimulation, Drosophila melanogaster life span, and Saccharomyces cerevisiae cell cycle. CONCLUSION: We show that the properties of proteins synthesized correlate dynamically with the gene expression profile, indicating that not only is the actual identity and function of expressed proteins important for cellular responses but that several physicochemical and other protein properties correlate with gene expression as well. Gene expression correlates strongly with amino acid composition, composition- and sequence-derived variables, functional, structural, localization and gene ontology parameters. Thus, our results suggest that a dynamic relationship exists between proteome properties and gene expression in many biological systems, and therefore this relationship is fundamental to understanding cellular mechanisms in health and disease.

Animals↗

Representation and high-quality annotation of the Physcomitrella patens transcriptome demonstrates a high proportion of proteins involved in metabolism in mosses.

To gain insight into the transcriptome of the well-used plant model system Physcomitrella patens, several EST sequencing projects have been undertaken. We have clustered, assembled, and annotated all publicly available EST and CDS sequences in order to represent the transcriptome of this non-seed plant. Here, we present our fully annotated knowledge resource for the Physcomitrella patens transcriptome, integrating annotation from the production process of the clustered sequences and from a high-quality annotation pipeline developed during this study. Each transcript is represented as an entity containing full annotations and GO term associations. The whole production, filtering, clustering, and annotation process is being modelled and results in seven datasets, representing the annotated Physcomitrella transcriptome from different perspectives. We were able to annotate 63.4 % of the 26 123 virtual transcripts. The transcript archetype, as covered by our clustered data, is compared to a compilation based on all available Physcomitrella full length CDS. The distribution of the gene ontology annotations (GOA) for the virtual transcriptome of Physcomitrella patens demonstrates consistency in the ratios of the core molecular functions among the plant GOA. However, the metabolism subcategory is over-represented in bryophytes as compared to seed plants. This observation can be taken as an indicator for the wealth of alternative metabolic pathways in moss in comparison to spermatophytes. All resources presented in this study have been made available to the scientific community through a suite of user-friendly web interfaces via www.cosmoss.org and form the basis for assembly and annotation of the moss genome, which will be sequenced in 2005.

3' Untranslated Regions↗

Gene Ontology annotation status of the fission yeast genome: preliminary coverage approaches 100%.

In this review, we present an overview of the Gene Ontology (GO) structure and describe how the GO is implemented for Sz. pombe and made available via Sz. pombe GeneDB (http://www.genedb.org/genedb/pombe/). We give a detailed progress report of Sz. pombe GO annotation, providing the current status of both manual and automatic annotations. Fission yeast has at least one GO annotation for 98.3% of its genes (excluding annotations to 'unknown' terms), greater than the current percentage coverage for any other organism. Approximately 65% (3225 gene products) have at least one annotation to each of the three ontologies (biological process, cellular component and molecular function). Approximately 30% (1443 gene products) have GO terms derived directly from small-scale experiments in fission yeast, supporting the validity of fission yeast as a model eukaryote and a reference organism.

Computational Biology↗

An annotated catalog of salivary gland transcripts from Ixodes scapularis ticks.

Over 8000 expressed sequence tags from six different salivary gland cDNA libraries from the tick Ixodes scapularis were analyzed. These libraries derive from feeding nymphs infected or not with the Lyme disease agent, Borrelia burgdorferi, from unfed adults, and from adults feeding on a rabbit for 6-12 h, 18-24 h, and 3-4 days. Comparisons of the several libraries led to identification of several significantly differentially expressed transcripts. Additionally, over 500 new predicted protein sequences are described, including several novel gene families unique to ticks; no function can be presently ascribed to most of these novel families. Among the housekeeping-associated transcripts, we highlight those enzymes associated with post translation modification of amino acids, particularly those forming sulfotyrosine, hydroxyproline, and carboxyl-glutamic acid. Results support the hypothesis that gene duplication, most possibly including genome duplications, is a major player in tick evolution.

Animals↗

The master two-dimensional gel database of human AMA cell proteins: towards linking protein and genome sequence and mapping information (update 1991).

The master two-dimensional gel database of human AMA cells currently lists 3801 cellular and secreted proteins, of which 371 cellular polypeptides (306 IEF; 65 NEPHGE) were added to the master images during the last 10 months. These include: (i) very basic and acidic proteins that do not focus under normal running conditions and (ii) low-abundant proteins that can only be detected after prolonged gel exposure. Annotation categories updated in this version include "protein name", "antibody against protein", "cellular localization", and "microsequenced proteins". New entries include "human autoantigens" and "cDNAs". For convenience we have included an alphabetical list of all known proteins recorded in this database. In the long run, the main goal of this database is to link protein and DNA sequencing and mapping information (Human Genome Program) and to provide an integrated picture of the expression levels and properties of the thousands of proteins that orchestrate various cellular functions both under physiological and abnormal conditions.

Cell Line, Transformed↗

Transcriptome profiling of the tubular porcine conceptus identifies the differential regulation of growth and developmentally associated genes.

Gastrulation and trophectoderm elongation of the porcine conceptus coincide with peak conceptus estrogen secretion from gestational day 11 to day 12. The current study aim was to identify genes required for elongation by defining the transcriptome profile of this dynamic tubular stage. The gastrulation and proliferative status of ovoid, tubular, and filamentous conceptuses were also examined. Polarization of the embryonic disc and growth throughout the conceptus were evident. An unamplified and two distinct amplified serial analysis of gene expression (SAGE) libraries were generated from tubular conceptus mRNA. Comparing the three libraries at 12,000 tags/library indicated small-amplified RNA-SAGE was a reliable amplification procedure. The unamplified library was increased to 42,415 tags and statistical analyses of tag frequencies with previously generated ovoid and filamentous libraries revealed the differential expression (P < 0.05) of 483 and 364 tags between ovoid:tubular or tubular:filamentous libraries, respectively. Annotated transcripts known to be involved in development and also potentially regulated by estrogen (cytokeratins 8 and 18, stratifin, midkine, and glycolytic enzymes) were further analyzed by real-time PCR. The majority of glycolytic enzyme transcripts were constitutively expressed or downregulated at the filamentous stage. Likewise, cytokeratin mRNAs were less abundant in filamentous conceptuses, whereas stratifin and midkine were more abundant in tubular conceptuses. Analysis of protein revealed distinct expression patterns for cytokeratin 18, stratifin, and midkine. The function(s) of these factors and potential modulation by estrogen clearly needs to be elucidated to understand their physiological role in normal conceptus development.

Animals↗

The proteome of the phytopathogenic fungus Sclerotinia sclerotiorum.

In order to gain a more thorough understanding of the phytopathogenic fungus, Sclerotinia sclerotiorum, we initiated a proteome-level study of the fungal mycelia and secretome. To our knowledge, this is the first comprehensive proteome-level study of this fungus. Extracted mycelial proteins and secreted proteins collected from liquid culture were separated using 2-DE and annotated following ESI-q-TOF MS/MS. Fifty-two secreted proteins were reproducibly present in three biological replicates and 18 of them were identified by MS/MS while over 200 mycelial proteins were reproducibly present in three independent extractions and approximately half of them were identified. Many of the annotated secreted proteins were cell wall degrading enzymes that had been previously identified as pathogenicity or virulence factors of S. sclerotiorum; however, the contribution to the virulence of S. sclerotiorum of one of the identified proteins, alpha-L-arabinofuranosidase, is yet to be analyzed. Furthermore, previous comprehensive EST studies did not detect the presence of the alpha-L-arabinofuranosidase transcript, which demonstrates the merit of performing proteome-level research. All of the secreted and mycelial proteins identified were functionally classified, and the known and proposed roles in disease initiation or progression for many of them are discussed.

Ascomycota↗

A web-based search engine for triplex-forming oligonucleotide target sequences.

Triplex technology offers a useful approach for site-specific modification of gene structure and function both in vitro and in vivo. Triplex-forming oligonucleotides (TFOs) bind to their target sites in duplex DNA, thereby forming triple-helical DNA structures via Hoogsteen hydrogen bonding. TFO binding has been demonstrated to site-specifically inhibit gene expression, enhance homologous recombination, induce mutation, inhibit protein binding, and direct DNA damage, thus providing a tool for gene-specific manipulation of DNA. We have developed a flexible web-based search engine to find and annotate TFO target sequences within the human and mouse genomes. Descriptive information about each site, including sequence context and gene region (intron, exon, or promoter), is provided. The engine assists the user in finding highly specific TFO target sequences by eliminating or flagging known repeat sequences and flagging overlapping genes. A convenient way to check for the uniqueness of a potential TFO binding site is provided via NCBI BLAST. The search engine may be accessed at spi.mdanderson.org/tfo.

Animals↗

Global profiles of gene expression induced by adrenocorticotropin in Y1 mouse adrenal cells.

ACTH regulates the steroidogenic capacity, size, and structural integrity of the adrenal cortex through a series of actions involving changes in gene expression; however, only a limited number of ACTH-regulated genes have been identified, and these only partly account for the global effects of ACTH on the adrenal cortex. In this study, a National Institute on Aging 15K mouse cDNA microarray was used to identify genome-wide changes in gene expression after treatment of Y1 mouse adrenocortical cells with ACTH. ACTH affected the levels of 1275 annotated transcripts, of which 46% were up-regulated. The up-regulated transcripts were enriched for functions associated with steroid biosynthesis and metabolism; the down- regulated transcripts were enriched for functions associated with cell proliferation, nuclear transport and RNA processing, including alternative splicing. A total of 133 different transcripts, i.e. only 10% of the ACTH-affected transcripts, were represented in the categories above; most of these had not been described as ACTH-regulated previously. The contributions of protein kinase A and protein kinase C to these genome-wide effects of ACTH were evaluated in microarray experiments after treatment of Y1 cells and derivative protein kinase A-defective mutants with pharmacological probes of each pathway. Protein kinase A-dependent signaling accounted for 56% of the ACTH effect; protein kinase C-dependent signaling accounted for an additional 6%. These results indicate that ACTH affects the expression profile of Y1 adrenal cells principally through cAMP- and protein kinase A- dependent signaling. The large number of transcripts affected by ACTH anticipates a broader range of actions than previously appreciated.

Adrenal Cortex↗

Functional annotation of a novel NFKB1 promoter polymorphism that increases risk for ulcerative colitis.

Nuclear Factor-kappaB (NF-kappaB) is a major transcription regulator of immune response, apoptosis and cell-growth control genes, and is upregulated in inflammatory bowel disease (IBD), both ulcerative colitis (UC) and Crohn's disease. The NFKB1 gene encodes the NF-kappaB p105/p50 isoforms. Genome-wide screens in IBD families show evidence for linkage on chromosome 4q where NFKB1 maps. We sequenced the NFKB1 promoter, exon 1 and all coding exons in 10 IBD probands and two controls, and identified six nucleotide variants, including a common insertion/deletion promoter polymorphism (-94ins/delATTG). Using pedigree-based transmission disequilibrium tests, we observed modest evidence for linkage disequilibrium (LD), independent of linkage, between the -94delATTG allele and UC in 131 out of 235 IBD pedigrees with UC offspring (P=0.047-0.052). This allele was also more frequent in the 156 non-Jewish UC probands from the 235 IBD pedigrees than in 149 non-Jewish controls (P=0.015). The -94delATTG association with UC was replicated in a second set of 258 unrelated, non-Jewish UC cases and 653 new, non-Jewish controls (P=0.021). Nuclear proteins from normal human colon tissue and colonic cell lines, but not ileal tissue, showed significant binding to -94insATTG but not to -94delATTG containing oligonucleotides. NFKB1 promoter/exon 1 luciferase reporter plasmid constructs containing the -94delATTG allele and transfected into either HeLa or HT-29 cell lines showed less promoter activity than comparable constructs containing the -94insATTG allele. Therefore, we have identified the first potentially functional polymorphism of NFKB1 and demonstrated its genetic association with a common human disease, ulcerative colitis.

Base Sequence↗

Combining evidence, biomedical literature and statistical dependence: new insights for functional annotation of gene sets.

BACKGROUND: Large-scale genomic studies based on transcriptome technologies provide clusters of genes that need to be functionally annotated. The Gene Ontology (GO) implements a controlled vocabulary organised into three hierarchies: cellular components, molecular functions and biological processes. This terminology allows a coherent and consistent description of the knowledge about gene functions. The GO terms related to genes come primarily from semi-automatic annotations made by trained biologists (annotation based on evidence) or text-mining of the published scientific literature (literature profiling). RESULTS: We report an original functional annotation method based on a combination of evidence and literature that overcomes the weaknesses and the limitations of each approach. It relies on the Gene Ontology Annotation database (GOA Human) and the PubGene biomedical literature index. We support these annotations with statistically associated GO terms and retrieve associative relations across the three GO hierarchies to emphasise the major pathways involved by a gene cluster. Both annotation methods and associative relations were quantitatively evaluated with a reference set of 7397 genes and a multi-cluster study of 14 clusters. We also validated the biological appropriateness of our hybrid method with the annotation of a single gene (cdc2) and that of a down-regulated cluster of 37 genes identified by a transcriptome study of an in vitro enterocyte differentiation model (CaCo-2 cells). CONCLUSION: The combination of both approaches is more informative than either separate approach: literature mining can enrich an annotation based only on evidence. Text-mining of the literature can also find valuable associated MEDLINE references that confirm the relevance of the annotation. Eventually, GO terms networks can be built with associative relations in order to highlight cooperative and competitive pathways and their connected molecular functions.

Algorithms↗

A defect in a novel Nek-family kinase causes cystic kidney disease in the mouse and in zebrafish.

The murine autosomal recessive juvenile cystic kidney (jck) mutation results in polycystic kidney disease. We have identified in jck mice a mutation in Nek8, a novel and highly conserved member of the Nek kinase family. In vitro expression of mutated Nek8 results in enlarged, multinucleated cells with an abnormal actin cytoskeleton. To confirm that a defect in the Nek8 gene can cause cystic disease, we performed a cross-species analysis: injection of zebrafish embryos with a morpholino anti-sense oligonucleotide corresponding to the ortholog of Nek8 resulted in the formation of pronephric cysts. These results demonstrate that comparative analysis of gene function in different model systems represents a powerful means to annotate gene function.

Amino Acid Sequence↗

Progress in rickettsial genome analysis from pioneering of Rickettsia prowazekii to the recent Rickettsia typhi.

Three rickettsial genomes have been sequenced and annotated. Rickettsia prowazekii and R. typhi have similar gene order and content. The few differences between R. prowazekii and R. typhi include a 12-kb insertion in R. prowazekii, a large inversion close to the origin of replication in R. typhi, and loss of the complete cytochrome c oxidase system by R. typhi. R. prowazekii, R. typhi, and R. conorii have 13, 24, and 560 unique genes, respectively, and share 775 genes, most likely their essential genes. The small genomes contain many pseudogenes and much noncoding DNA, reflecting the process of genome decay. R. typhi contains the largest number of pseudogenes (41), and R. conorii the fewest, in accordance with its larger number of genes and smaller proportion of noncoding DNA. Conversely, typhus rickettsiae contain fewer repetitive sequences. These genomes portray the key themes of rickettsial intracellular survival: lack of enzymes for sugar metabolism, lipid biosynthesis, nucleotide synthesis, and amino acid metabolism, suggesting that rickettsiae depend on the host for nutrition and building blocks; enzymes for the complete TCA cycle and several copies of ATP/ADP translocase genes, suggesting independent synthesis of ATP and acquisition of host ATP; and type IV secretion system. All rickettsiae share two outer membrane proteins (OmpB and Sca 4) and LPS biosynthesis machinery. RickA, unique to spotted fever rickettsiae, plays a role in induction of actin polymerization in R. conorii, but not in R. prowazekii or R. typhi. The genome of R. typhi contains four potentially membranolytic genes (tlyA, tlyC, pldA, and pat-1) and five autotransporter genes, sca 1, sca 2, sca 3, ompA, and ompB. The presence of six 50-amino acid repeat units in Sca 2 suggests function as an adhesin. The high laboratory passage of the sequenced strains raises the issue of the occurrence of laboratory mutations in genes not required for growth in cell culture or eggs. Resequencing revealed that eight annotated pseudogenes of E strain are actually intact genes. Comparative genomics of virulent and avirulent strains of rickettsial species may reveal their virulence factors.

Genome, Bacterial↗

ProteoMix: an integrated and flexible system for interactively analyzing large numbers of protein sequences.

UNLABELLED: ProteoMix is a suite of JAVA programs for identifying, annotating and predicting regions of interest in large sets of amino acid sequences, according to systematic and consistent criteria. It is based on two concepts (1) the integration of results from different sequence analysis tools increases the prediction reliability; and (2) the integration protocol is critical and needs to be easily adaptable in a case-by-case manner. ProteoMix was designed to analyze simultaneously multiple protein sequences using several bioinformatics tools, merge the results of the analyses using logical functions and display them on an integrated viewer. In addition, new sequences can be added seamlessly to an analysis performed on an initial set of sequences. ProteoMix has a modular design, and bioinformatics tools are run on remote servers accessed using the Internet Simple Object Access Protocol (SOAP), ensuring the swift implementation of additional tools. ProteoMix has a user-friendly interactive graphical user interface environment and runs on PCs with Microsoft OS. AVAILABILITY: ProteoMix is freely available for academic users at http://bio.gsc.riken.jp/ProteoMix/

Database Management Systems↗