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PubMed2005

Genomic annotation and expression analysis of the zebrafish Rho small GTPase family during development and bacterial infection.

The zebrafish genomic sequence database was analyzed for the presence of genes encoding members of the Rho small GTPases. The analysis shows the presence of 32 zebrafish Rho genes representing one or more homologs of the human RHOA, RND3, RHOF, RHOG, RHOH, RHOJ, RHOU, RHOV, CDC42, RAC1, RAC2, RAC3, RND1, RHOBTB1, RHOBTB2, RHOBTB3, and RHOT1 genes. By expression analysis using reverse transcriptase-PCR we show that at least 20 of the predicted zebrafish small GTPase genes are expressed in the adult stage. Interestingly, only 5 of these were found to be expressed at early embryonic stages, including rhoab, rhoad, cdc42a, cdc42c, and rac1a. We observed a strong upregulation of zebrafish rhogb expression after Mycobacterium marinum infection of adult fish. This complete annotation study provides a firm basis for the use of zebrafish as a model for analysis of Rho GTPase function in vertebrate development and the innate immune system.

Amino Acid Sequence↗
PubMed2003

Prediction of peroxisomal targeting signal 1 containing proteins from amino acid sequence.

Peroxisomal matrix proteins have to be imported into their target organelle post-translationally. The major translocation pathway depends on a C-terminal targeting signal, termed PTS1. Our previous analysis of sequence variability in the PTS1 motif revealed that, in addition to the known C-terminal tripeptide, at least nine residues directly upstream are important for signal recognition in the PTS1-Pex5 receptor complex. The refined PTS1 motif description was implemented in a prediction tool composed of taxon-specific functions (metazoa, fungi, remaining taxa), capable of recognising potential PTS1s in query sequences. The composite score function consists of classical profile terms and additional terms penalising deviations from the derived physical property pattern over sequence segments. The prediction algorithm has been validated with a self-consistency and three different cross-validation tests. Additionally, we tested the tool on a large set of non-peroxisomal negatives, on mutation data, and compared the prediction rate to the PTS1 component of the PSORT2 program. The sensitivity of our predictor in recognising documented PTS1 signal containing proteins is close to 90% for reliable prediction. The predictor distinguishes even SKL-appended non-peroxisomally targeted proteins such as a mouse dihydrofolate reductase-SKL construct. The corresponding rate of false positives is not worse than 0.8%; thus, the tool can be applied for large-scale unsupervised sequence database annotation. A scan of public protein databases uncovered a number of yet uncharacterised proteins for which the PTS1 signal might be critical for biological function. The predicted presence of a PTS1 signal implies peroxisomal localisation in the absence of N-terminal targeting sequences such as the mitochondrial import signal.

Algorithms↗
PubMed2006

High throughput profile-profile based fold recognition for the entire human proteome.

BACKGROUND: In order to maintain the most comprehensive structural annotation databases we must carry out regular updates for each proteome using the latest profile-profile fold recognition methods. The ability to carry out these updates on demand is necessary to keep pace with the regular updates of sequence and structure databases. Providing the highest quality structural models requires the most intensive profile-profile fold recognition methods running with the very latest available sequence databases and fold libraries. However, running these methods on such a regular basis for every sequenced proteome requires large amounts of processing power. In this paper we describe and benchmark the JYDE (Job Yield Distribution Environment) system, which is a meta-scheduler designed to work above cluster schedulers, such as Sun Grid Engine (SGE) or Condor. We demonstrate the ability of JYDE to distribute the load of genomic-scale fold recognition across multiple independent Grid domains. We use the most recent profile-profile version of our mGenTHREADER software in order to annotate the latest version of the Human proteome against the latest sequence and structure databases in as short a time as possible. RESULTS: We show that our JYDE system is able to scale to large numbers of intensive fold recognition jobs running across several independent computer clusters. Using our JYDE system we have been able to annotate 99.9% of the protein sequences within the Human proteome in less than 24 hours, by harnessing over 500 CPUs from 3 independent Grid domains. CONCLUSION: This study clearly demonstrates the feasibility of carrying out on demand high quality structural annotations for the proteomes of major eukaryotic organisms. Specifically, we have shown that it is now possible to provide complete regular updates of profile-profile based fold recognition models for entire eukaryotic proteomes, through the use of Grid middleware such as JYDE.

Algorithms↗
PubMedDate not supplied

[Comparative approach to correction of annotated gene starts in complete bacterial genomes].

A method for refining the beginnings of genes and a search for shifts of the reading frame is proposed. The method is based on a comparison of nucleotide and amino acid sequences of homologous genes of related organisms. The algorithm is based on the fact that the rate of changes in the protein-coding regions of the genome is substantially lower than that of noncoding regions. A modification of the Smith-Waterman algorithm is proposed, which makes it possible to align the amino acid sequences obtained by formal translation of the starting nucleotide sequences by taking into account a possible shift of the reading frame. The algorithm has been implemented in the package of ORTOLOGATOR-GeneCorrector programs. Testing the program showed that the approach enables one to detect a wrong annotation of the beginnings in 1% of genes (even in well-studied organisms such as Escherichia coli) and identify several (approximately 10) shifts of the open reading frame. Thus, the algorithm can be used at both the initial and final stages of analysis of the genome.

Algorithms↗
PubMed2001

Analysis of the pdx-1 (snz-1/sno-1) region of the Neurospora crassa genome: correlation of pyridoxine-requiring phenotypes with mutations in two structural genes.

We report the analysis of a 36-kbp region of the Neurospora crassa genome, which contains homologs of two closely linked stationary phase genes, SNZ1 and SNO1, from Saccharomyces cerevisiae. Homologs of SNZ1 encode extremely highly conserved proteins that have been implicated in pyridoxine (vitamin B6) metabolism in the filamentous fungi Cercospora nicotianae and in Aspergillus nidulans. In N. crassa, SNZ and SNO homologs map to the region occupied by pdx-1 (pyridoxine requiring), a gene that has been known for several decades, but which was not sequenced previously. In this study, pyridoxine-requiring mutants of N. crassa were found to possess mutations that disrupt conserved regions in either the SNZ or SNO homolog. Previously, nearly all of these mutants were classified as pdx-1. However, one mutant with a disrupted SNO homolog was at one time designated pdx-2. It now appears appropriate to reserve the pdx-1 designation for the N. crassa SNZ homolog and pdx-2 for the SNO homolog. We further report annotation of the entire 36,030-bp region, which contains at least 12 protein coding genes, supporting a previous conclusion of high gene densities (12,000-13,000 total genes) for N. crassa. Among genes in this region other than SNZ and SNO homologs, there was no evidence of shared function. Four of the genes in this region appear to have been lost from the S. cerevisiae lineage.

Cloning, Molecular↗
PubMed2006

The cyclin-like uracil DNA glycosylase (UDG) of murine oocytes and its relationship to human and chimpanzee homologues.

Examination of electrophoretically resolved randomly generated PCR amplicons from mature murine oocytes revealed the presence of a short sequence with partial homology to a cyclin-like human uracil DNA glycosylase (UDG2), a member of an important group of base-excision enzymes that remove misincorporated or cytosine-derived uracil from nascent DNA. A combination of 3' R.A.C.E. and in silico 'cloning' of the 5' region of the original EST uncovered a predicted murine mRNA sequence with limited homology to human UDG2 at both nucleotide and amino acid levels. An alternative contig for human UDG2 showed stronger similarity with the homologous murine and chimp genomic and protein sequences and contained both N and C terminal cyclin box elements. This contig is also an Ensembl annotated alternative splice-site variant of the UDG2 gene (Udg2v2). We suggest that uracil-excision repair in oocytes is likely to be mediated by Udg2v2, or alternatively that Udg2v2 is involved in a process related to oocyte-specific maturation by virtue of its cyclin-like domains.

Amino Acid Sequence↗
PubMed2005

Proteomic analysis using an unfinished bacterial genome: the effects of subminimum inhibitory concentrations of antibiotics on Mannheimia haemolytica virulence factor expression.

Here we identify, using nonelectrophoretic proteomics, effects of subminimum inhibitory concentrations (subMIC) of two antibiotic preparations, chlortetracycline (CTC), and chlortetracycline-sulfamethazine (CTC + SMZ), on protein expression in the bovine respiratory pathogen Mannheimia haemolytica. The M. haemolytica genome is currently in draft form, and annotation is incomplete. Relying on the principle of gene sequence conservation across species, we used annotated genomes from closely related species to identify, confirm, and functionally annotate 495 M. haemolytica proteins. To conduct quantitative comparative proteomics, we developed a protein quantitation method based on the cross correlation function of the SEQUEST algorithm. When M. haemolytica was cultivated in the presence of 1/4 MIC of CTC and CTC + SMZ, expression of proteins involved in energy production, nucleotide metabolism, translation, and the bacterial stress response (chaperones) were affected. The most notable subMIC effect was a significant decrease in the expression of leukotoxin A, which is an important M. haemolytica virulence factor. Reduction in leukotoxin expression could be one of the molecular mechanisms responsible for the efficacy of these antibiotics against bovine respiratory disease.

Algorithms↗
PubMed1998

GAIA: framework annotation of genomic sequence.

As increasing amounts of genomic sequence from many organisms become available, and as DNA sequences become a primary reagent in biologic investigations, the role of annotation as a prospective guide for laboratory experiments will expand rapidly. Here we describe a process of high-throughput, reliable annotation, called framework annotation, which is designed to provide a foundation for initial biologic characterization of previously unexamined sequence. To examine this concept in practice, we have constructed Genome Annotation and Information Analysis (GAIA), a prototype software architecture that implements several elements important for framework annotation. The center of GAIA consists of an annotation database and the associated data management subsystem that forms the software bus along which other components communicate. The schema for this database defines three principal concepts: (1) Entries, consisting of sequence and associated historical data; (2) Features, comprising information of biologic interest; and (3) Experiments, describing the evidence that supports Features. The database permits tracking of annotation results over time, as well as assessment of the reliability of particular results. New framework annotation is produced by CARTA, a set of autonomous sensors that perform automatic analyses and assert results into the annotation database. These results are available via a Web-based query interface that uses graphical Java applets as well as text-based HTML pages to display data at different levels of resolution and permit interactive exploration of annotation. We present results for initial application of framework annotation to a set of test sequences, demonstrating its effectiveness in providing a starting point for biologic investigation, and discuss ways in which the current prototype can be improved. The prototype is available for public use and comment at http://www.cbil.upenn.edu/gaia.

Amino Acid Sequence↗
PubMed2004

Effect of ionizing irradiation on human esophageal cancer cell lines by cDNA microarray gene expression analysis.

To provide new insights into the molecular mechanisms underlying the effect of irradiation on esophageal squamous cell carcinomas (ESCCs), we used a cDNA microarray screening of more than 4,000 genes with known functions to identify genes involved in the early response to ionizing irradiation. Two human ESCC cell lines, one each of well (TE-1) and poorly (TE-2) differentiated phenotypes were screened. Subconfluent cells of each phenotype were treated with single doses of 2.0 Gy or 8.0 Gy irradiations. After a 15 min incubation time-point, the cells were collected and analyzed. Compared with non-irradiated cells, many genes revealed at least 2-fold upregulation or downregulation at both doses in well or poorly differentiated ESCC cells. The common upregulated genes in well and poorly differentiated cell types at both irradiation doses included SCYA5, CYP51, SMARCD2, COX6C, MAPK8, FOS, UBE2M, RPL6, PDGFRL, TRAF2, TNFAIP6, ITGB4, GSTM3, and SP3 and common downregulated genes involved NFIL3, SMARCA2, CAPZA1, MetAP2, CITED2, DAP3, MGAT2, ATRX, CIAO1, and STAT6. Several of these genes were novel and not previously known to be associated with irradiation. Functional annotations of the modulated genes suggested that at the molecular level, irradiation appears to induce a regularizing balance in ESCC cell function. The genes modulated in the early response to irradiation may be useful in our understanding of the molecular basis of radiotherapy and in developing strategies to augment its effect or establish novel less hazardous alternative adjuvant therapies.

Carcinoma, Squamous Cell↗
PubMed2005

CLAGen: a tool for clustering and annotating gene sequences using a suffix tree algorithm.

Most multiple gene sequence alignment methods rely on conventions regarding the score of a multiple alignment in pairwise fashion. Therefore, as the number of sequences increases, the runtime of sequencing expands exponentially. In order to solve the problem, this paper presents a multiple sequence alignment method using a linear-time suffix tree algorithm to cluster similar sequences at one time without pairwise alignment. After searching for common subsequences, cross-matching common subsequences were generated, and sometimes inexact matching was found. So, a procedure aimed at masking the inexact cross-matching pairs was suggested here. In addition, BLAST was combined with a clustering tool in order to annotate the clusters generated by suffix tree clustering. The proposed method for clustering and annotating genes consists of the following steps: (1) construction of a suffix tree; (2) searching and overlapping common subsequences; (3) grouping subsequence pairs; (4) masking cross-matching pairs; (5) clustering gene sequences; (6) annotating gene clusters by the BLAST search. The performance of the proposed system, CLAGen, was successfully evaluated with 42 gene sequences in a TCA cycle (a citrate cycle) of bacteria. The system generated 11 clusters and found the longest subsequences of each cluster, which are biologically significant.

Algorithms↗
PubMed2002

The Pfam protein families database.

Pfam is a large collection of protein multiple sequence alignments and profile hidden Markov models. Pfam is available on the World Wide Web in the UK at http://www.sanger.ac.uk/Software/Pfam/, in Sweden at http://www.cgb.ki.se/Pfam/, in France at http://pfam.jouy.inra.fr/ and in the US at http://pfam.wustl.edu/. The latest version (6.6) of Pfam contains 3071 families, which match 69% of proteins in SWISS-PROT 39 and TrEMBL 14. Structural data, where available, have been utilised to ensure that Pfam families correspond with structural domains, and to improve domain-based annotation. Predictions of non-domain regions are now also included. In addition to secondary structure, Pfam multiple sequence alignments now contain active site residue mark-up. New search tools, including taxonomy search and domain query, greatly add to the functionality and usability of the Pfam resource.

Animals↗
PubMed2006

Transcriptomic footprints disclose specificity of reactive oxygen species signaling in Arabidopsis.

Reactive oxygen species (ROS) are key players in the regulation of plant development, stress responses, and programmed cell death. Previous studies indicated that depending on the type of ROS (hydrogen peroxide, superoxide, or singlet oxygen) or its subcellular production site (plastidic, cytosolic, peroxisomal, or apoplastic), a different physiological, biochemical, and molecular response is provoked. We used transcriptome data generated from ROS-related microarray experiments to assess the specificity of ROS-driven transcript expression. Data sets obtained by exogenous application of oxidative stress-causing agents (methyl viologen, Alternaria alternata toxin, 3-aminotriazole, and ozone) and from a mutant (fluorescent) and transgenic plants, in which the activity of an individual antioxidant enzyme was perturbed (catalase, cytosolic ascorbate peroxidase, and copper/zinc superoxide dismutase), were compared. In total, the abundance of nearly 26,000 transcripts of Arabidopsis (Arabidopsis thaliana) was monitored in response to different ROS. Overall, 8,056, 5,312, and 3,925 transcripts showed at least a 3-, 4-, or 5-fold change in expression, respectively. In addition to marker transcripts that were specifically regulated by hydrogen peroxide, superoxide, or singlet oxygen, several transcripts were identified as general oxidative stress response markers because their steady-state levels were at least 5-fold elevated in most experiments. We also assessed the expression characteristics of all annotated transcription factors and inferred new candidate regulatory transcripts that could be responsible for orchestrating the specific transcriptomic signatures triggered by different ROS. Our analysis provides a framework that will assist future efforts to address the impact of ROS signals within environmental stress conditions and elucidate the molecular mechanisms of the oxidative stress response in plants.

Arabidopsis↗
PubMed2006

In silico identification of opossum cytokine genes suggests the complexity of the marsupial immune system rivals that of eutherian mammals.

BACKGROUND: Cytokines are small proteins that regulate immunity in vertebrate species. Marsupial and eutherian mammals last shared a common ancestor more than 180 million years ago, so it is not surprising that attempts to isolate many key marsupial cytokines using traditional laboratory techniques have been unsuccessful. This paucity of molecular data has led some authors to suggest that the marsupial immune system is 'primitive' and not on par with the sophisticated immune system of eutherian (placental) mammals. RESULTS: The sequencing of the first marsupial genome has allowed us to identify highly divergent immune genes. We used gene prediction methods that incorporate the identification of gene location using BLAST, SYNTENY + BLAST and HMMER to identify 23 key marsupial immune genes, including IFN-gamma, IL-2, IL-4, IL-6, IL-12 and IL-13, in the genome of the grey short-tailed opossum (Monodelphis domestica). Many of these genes were not predicted in the publicly available automated annotations. CONCLUSION: The power of this approach was demonstrated by the identification of orthologous cytokines between marsupials and eutherians that share only 30% identity at the amino acid level. Furthermore, the presence of key immunological genes suggests that marsupials do indeed possess a sophisticated immune system, whose function may parallel that of eutherian mammals.

Journal Article↗
PubMed2002

Novel transcription factors in human CD34 antigen-positive hematopoietic cells.

Transcription factors (TFs) and the regulatory proteins that control them play key roles in hematopoiesis, controlling basic processes of cell growth and differentiation; disruption of these processes may lead to leukemogenesis. Here we attempt to identify functionally novel and partially characterized TFs/regulatory proteins that are expressed in undifferentiated hematopoietic tissue. We surveyed our database of 15 970 genes/expressed sequence tags (ESTs) representing the normal human CD34(+) cells transcriptosome (http://westsun.hema.uic.edu/cd34.html), using the UniGene annotation text descriptor, to identify genes with motifs consistent with transcriptional regulators; 285 genes were identified. We also extracted the human homologues of the TFs reported in the murine stem cell database (SCdb; http://stemcell.princeton.edu/), selecting an additional 45 genes/ESTs. An exhaustive literature search of each of these 330 unique genes was performed to determine if any had been previously reported and to obtain additional characterizing information. Of the resulting gene list, 106 were considered to be potential TFs. Overall, the transcriptional regulator dataset consists of 165 novel or poorly characterized genes, including 25 that appeared to be TFs. Among these novel and poorly characterized genes are a cell growth regulatory with ring finger domain protein (CGR19, Hs.59106), an RB-associated CRAB repressor (RBAK, Hs.7222), a death-associated transcription factor 1 (DATF1, Hs.155313), and a p38-interacting protein (P38IP, Hs. 171185). The identification of these novel and partially characterized potential transcriptional regulators adds a wealth of information to understanding the molecular aspects of hematopoiesis and hematopoietic disorders.

Amino Acid Motifs↗
PubMed2006

GeneTools--application for functional annotation and statistical hypothesis testing.

BACKGROUND: Modern biology has shifted from "one gene" approaches to methods for genomic-scale analysis like microarray technology, which allow simultaneous measurement of thousands of genes. This has created a need for tools facilitating interpretation of biological data in "batch" mode. However, such tools often leave the investigator with large volumes of apparently unorganized information. To meet this interpretation challenge, gene-set, or cluster testing has become a popular analytical tool. Many gene-set testing methods and software packages are now available, most of which use a variety of statistical tests to assess the genes in a set for biological information. However, the field is still evolving, and there is a great need for "integrated" solutions. RESULTS: GeneTools is a web-service providing access to a database that brings together information from a broad range of resources. The annotation data are updated weekly, guaranteeing that users get data most recently available. Data submitted by the user are stored in the database, where it can easily be updated, shared between users and exported in various formats. GeneTools provides three different tools: i) NMC Annotation Tool, which offers annotations from several databases like UniGene, Entrez Gene, SwissProt and GeneOntology, in both single- and batch search mode. ii) GO Annotator Tool, where users can add new gene ontology (GO) annotations to genes of interest. These user defined GO annotations can be used in further analysis or exported for public distribution. iii) eGOn, a tool for visualization and statistical hypothesis testing of GO category representation. As the first GO tool, eGOn supports hypothesis testing for three different situations (master-target situation, mutually exclusive target-target situation and intersecting target-target situation). An important additional function is an evidence-code filter that allows users, to select the GO annotations for the analysis. CONCLUSION: GeneTools is the first "all in one" annotation tool, providing users with a rapid extraction of highly relevant gene annotation data for e.g. thousands of genes or clones at once. It allows a user to define and archive new GO annotations and it supports hypothesis testing related to GO category representations. GeneTools is freely available through www.genetools.no

Algorithms↗
PubMed2006

Generation, annotation and analysis of ESTs from Trichoderma harzianum CECT 2413.

BACKGROUND: The filamentous fungus Trichoderma harzianum is used as biological control agent of several plant-pathogenic fungi. In order to study the genome of this fungus, a functional genomics project called "TrichoEST" was developed to give insights into genes involved in biological control activities using an approach based on the generation of expressed sequence tags (ESTs). RESULTS: Eight different cDNA libraries from T. harzianum strain CECT 2413 were constructed. Different growth conditions involving mainly different nutrient conditions and/or stresses were used. We here present the analysis of the 8,710 ESTs generated. A total of 3,478 unique sequences were identified of which 81.4% had sequence similarity with GenBank entries, using the BLASTX algorithm. Using the Gene Ontology hierarchy, we performed the annotation of 51.1% of the unique sequences and compared its distribution among the gene libraries. Additionally, the InterProScan algorithm was used in order to further characterize the sequences. The identification of the putatively secreted proteins was also carried out. Later, based on the EST abundance, we examined the highly expressed genes and a hydrophobin was identified as the gene expressed at the highest level. We compared our collection of ESTs with the previous collections obtained from Trichoderma species and we also compared our sequence set with different complete eukaryotic genomes from several animals, plants and fungi. Accordingly, the presence of similar sequences in different kingdoms was also studied. CONCLUSION: This EST collection and its annotation provide a significant resource for basic and applied research on T. harzianum, a fungus with a high biotechnological interest.

Algorithms↗
PubMed2003

A computational study of Shewanella oneidensis MR-1: structural prediction and functional inference of hypothetical proteins.

The genomes of many organisms have been sequenced in the last 5 years. Typically about 30% of predicted genes from a newly sequenced genome cannot be given functional assignments using sequence comparison methods. In these situations three-dimensional structural predictions combined with a suite of computational tools can suggest possible functions for these hypothetical proteins. Suggesting functions may allow better interpretation of experimental data (e.g., microarray data and mass spectroscopy data) and help experimentalists design new experiments. In this paper, we focus on three hypothetical proteins of Shewanella oneidensis MR-1 that are potentially related to iron transport/metabolism based on microarray experiments. The threading program PROSPECT was used for protein structural predictions and functional annotation, in conjunction with literature search and other computational tools. Computational tools were used to perform transmembrane domain predictions, coiled coil predictions, signal peptide predictions, sub-cellular localization predictions, motif prediction, and operon structure evaluations. Combined computational results from all tools were used to predict roles for the hypothetical proteins. This method, which uses a suite of computational tools that are freely available to academic users, can be used to annotate hypothetical proteins in general.

ATP-Binding Cassette Transporters↗
PubMed2002

A gene expression map of human chromosome 21 orthologues in the mouse.

The DNA sequence of human chromosome 21 (HSA21) has opened the route for a systematic molecular characterization of all of its genes. Trisomy 21 is associated with Down's syndrome, the most common genetic cause of mental retardation in humans. The phenotype includes various organ dysmorphies, stereotypic craniofacial anomalies and brain malformations. Molecular analysis of congenital aneuploidies poses a particular challenge because the aneuploid region contains many protein-coding genes whose function is unknown. One essential step towards understanding their function is to analyse mRNA expression patterns at key stages of organism development. Seminal works in flies, frogs and mice showed that genes whose expression is restricted spatially and/or temporally are often linked with specific ontogenic processes. Here we describe expression profiles of mouse orthologues to HSA21 genes by a combination of large-scale mRNA in situ hybridization at critical stages of embryonic and brain development and in silico (computed) mining of expressed sequence tags. This chromosome-scale expression annotation associates many of the genes tested with a potential biological role and suggests candidates for the pathogenesis of Down's syndrome.

Animals↗