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Identification of novel transcribed sequences on human chromosome 22 by expressed sequence tag mapping.

To identify sequences on the human genome that are actually transcribed, we mapped expressed sequence tags (ESTs) of long cDNAs ranging from 4 kb to 7 kb along a 33.4-Mb sequence of human chromosome 22, the first human chromosome entirely sequenced. By the EST mapping of 30,683 long cDNAs in silico, 603 cDNA sequences were found to locate on chromosome 22 and classified into 169 clusters. Comparison of the genomic loci of these cDNA sequences with 679 genes already annotated on chromosome 22q revealed that 46 clusters represented newly identified transcribed sequences. To further characterize these sequences, we sequenced 12 cDNAs in their entirety out of 46 clusters. Of these 12 cDNAs, 6 were predicted to include a protein-coding region while the remaining 6 were unlikely to encode proteins. Interestingly, 3 out of the 12 cDNAs had the nucleotide sequences of the opposite strands of the genes previously annotated, which suggested that these genomic regions were transcribed bi-directionally. In addition to these newly identified 12 cDNAs, another 12 cDNAs were entirely sequenced since these cDNAs were likely to contain new information about the predicted protein-coding sequences previously annotated. In the cases of KIAA1670 and KIAA1672, these single cDNA sequences covered two separately annotated transcribed regions. For example, the sequence of a clone for KIAA1670 indicated that the CHKL and CPT1B genes were co-transcribed as a contiguous transcript without making both the protein-coding regions fused. In conclusion, the mapping of ESTs derived from long cDNAs followed by sequencing of the entire cDNAs provided indispensable information for the precise annotation of genes on the genome together with ESTs derived from short cDNAs.

Brain Chemistry↗

EucaMOD: a comprehensive multi-omics database for functional genomics research and molecular breeding of fast-growing eucalyptus trees.

Eucalyptus, one of the most widely planted plantation tree species globally, is primarily found in tropical and subtropical regions and contributes significantly to economic and social benefits. With advances in sequencing technologies, there is an increasing demand for the systematic analysis of multi-omics data among Eucalyptus species to enhance genetic breeding efforts. Although several early genomic databases have been established for eucalyptus, they have not been updated in a timely manner and lack recent multi-omics data, rendering them insufficient for current research needs. To address this gap, we developed the eucalyptus multi-omics database (EucaMOD, http://eucalyptusggd.net/eucamod), a comprehensive resource for cross-omics studies. In this study, we functionally annotated 45 eucalyptus genomes and structurally annotated 15, conducting comparative genomics and pan-proteomics analyses across all genomes. Additionally, we analyzed eucalyptus transcriptome, epigenome, and variome data through standardized workflows, enabling the in-depth mining and reanalysis of multi-omics datasets. EucaMOD is the most comprehensive multi-omics database for eucalyptus to date and includes data from 45 genomes (39 species), 870 mRNA-seq samples, 17 miRNA-seq samples, 52 epigenomic datasets (histone modifications and transcription factor binding), and genetic variation data from 1219 samples. To support functional genomics and molecular breeding research, the database is organized into the following 11 modules: Home, Species, Genomics, Comparative genomics, Pan-proteomics, Transcriptomics, Epigenetics, Variomics, Tools, Download, and Help. EucaMOD also offers online analysis tools for data mining, providing free public services to aid eucalyptus gene function and genetic engineering studies.

Eucalyptus↗

[Application of DNA chip technology to biomedical research].

The completion of Human Genome Project enabled us to access to the information on nucleotide sequences of whole human genome. One of the most valuable information on human genome would be the list of approximately 35,000 genes. Although 35% of them are still needed to annotate their functions, we can genome-widely approach to various conditions including disease states. To analyze bunch of information at once, we need high-throughput technology containing most of genes. DNA chip successfully provide a stable platform technology for the massive screening of genomes. Microarrays can be used to obtain genome-wide fingerprint on transcriptional changes in various physiological and pathological conditions, leading to the mining novel genes related to those specific states. We can check the multiple molecular markers for diagnosis, prediction or prognosis of specific diseases. Data from microarray will provide huge amounts of experssion profile, which might induce the transformation of biomedical research.

Base Sequence↗

Functional annotation of a full-length Arabidopsis cDNA collection.

Full-length complementary DNAs (cDNAs) are essential for the correct annotation of genomic sequences and for the functional analysis of genes and their products. We isolated 155,144 RIKEN Arabidopsis full-length (RAFL) cDNA clones. The 3'-end expressed sequence tags (ESTs) of 155,144 RAFL cDNAs were clustered into 14,668 nonredundant cDNA groups, about 60% of predicted genes. We also obtained 5' ESTs from 14,034 nonredundant cDNA groups and constructed a promoter database. The sequence database of the RAFL cDNAs is useful for promoter analysis and correct annotation of predicted transcription units and gene products. Furthermore, the full-length cDNAs are useful resources for analyses of the expression profiles, functions, and structures of plant proteins.

Arabidopsis↗

Gene profiling and bioinformatic analysis of Schwann cell embryonic development and myelination.

To elucidate the molecular mechanisms involved in Schwann cell development, we profiled gene expression in the developing and injured rat sciatic nerve. The genes that showed significant changes in expression in developing and dedifferentiated nerve were validated with RT-PCR, in situ hybridisation, Western blot and immunofluorescence. A comprehensive approach to annotating micro-array probes and their associated transcripts was performed using Biopendium, a database of sequence and structural annotation. This approach significantly increased the number of genes for which a functional insight could be found. The analysis implicates agrin and two members of the collapsin response-mediated protein (CRMP) family in the switch from precursors to Schwann cells, and synuclein-1 and alphaB-crystallin in peripheral nerve myelination. We also identified a group of genes typically related to chondrogenesis and cartilage/bone development, including type II collagen, that were expressed in a manner similar to that of myelin-associated genes. The comprehensive function annotation also identified, among the genes regulated during nerve development or after nerve injury, proteins belonging to high-interest families, such as cytokines and kinases, and should therefore provide a uniquely valuable resource for future research.

Agrin↗

Immunogenetics Sequence Annotation: the Strategy of IMGT based on IMGT-ONTOLOGY.

IMGT, the international ImMunoGeneTics information system((R))(http://imgt.cines.fr) created in 1989, by the Laboratoire d'ImmunoGénétique Moléculaire (LIGM), Université Montpellier II and CNRS, Montpellier, France, is a high quality integrated information system, secialized in immunoglobulins (IG), T cell receptors (TR), major histocompatibility complex of human and other vertebrates and related proteins of the immune system that belong to the IgSF and Mhc superfamilies. IMGT/LIGM-DB, the first and the largest IMGT database, manages more than 92,000 IG and TR nucleotide sequences from human and 150 other vertebrate species in May 2005. IMGT/LIGM-DB provides expertly annotated sequences and standardized knowledge based on IMGT-ONTOLOGY, the first ontology for immunogenetics and immunoinformatics. The strategy developed by IMGT, for the IG and TR nucleotide sequence annotation, involves two different approaches that depend on the nature of the sequences, genomic DNA (gDNA) or complementary DNA (cDNA).

Animals↗

Molecular abnormalities in oocytes from women with polycystic ovary syndrome revealed by microarray analysis.

CONTEXT: Polycystic ovary syndrome (PCOS), the most common cause of anovulatory infertility, is characterized by increased ovarian androgen production and arrested follicle development and is frequently associated with insulin resistance. These PCOS phenotypes are associated with exaggerated ovarian responsiveness to FSH and increased pregnancy loss. OBJECTIVE: The objective of this study was to examine whether the perturbations in follicle growth and the intrafollicular environment affect gene expression and ultimately development of the PCOS oocyte. DESIGN: Oocyte cDNA was subjected to microarray and PCR analysis. SETTING: This study was conducted at a university laboratory. PATIENTS: The study comprised 10 normal ovulatory women and nine women with PCOS. INTERVENTION: The intervention was GnRH analog/recombinant human FSH therapy for in vitro fertilization. MAIN OUTCOME MEASURE: The main outcome measure was mRNA abundance of oocyte-expressed genes. RESULTS: Cluster analysis revealed differences in global gene expression profiles between normal and PCOS oocytes. Of the 8123 transcripts expressed in the oocytes, 374 genes showed significant differences in mRNA abundance in PCOS oocytes. Annotation of the data demonstrated that a subset of these genes was associated with chromosome alignment and segregation during mitosis and/or meiosis. Furthermore, 68 of the differentially expressed genes contained putative androgen receptor and/or peroxisome proliferating receptor gamma binding sites. CONCLUSIONS: These analyses demonstrated that normal and PCOS oocytes that are morphologically indistinguishable and of high quality exhibit different gene expression profiles. Promoter analysis suggests that androgens and other activators of nuclear receptors may play a role in differential gene expression in the PCOS oocyte. Likewise, annotation of the differentially expressed genes suggests that defects in meiosis or early embryonic development may contribute to reduced developmental competency of PCOS oocytes.

Base Sequence↗

Molecular evolution of the AMP-forming Acetyl-CoA synthetase.

Acetyl-CoA-Synthetase (ACS) is involved in the production of acetate, a major metabolite in numerous organisms. There are two forms of this enzyme: ADP-forming ACS and ATP-forming ACS. We focus mainly on the AMP-forming ACS gene, which is relatively well conserved in eubacteria, archeaebacteria, and eukaryotes. BLAST searches in databases showed 30 protein sequences significantly related to the ACS. Most of these sequences were identified as ACS but three of them, belonging to the mammalian species, were annotated as another gene named: the SA gene, which is involved in the essential hypertension. The ACS and SA genes probably derived from a duplication of an ancestral gene but have acquired different functions. Six conserved regions of the ACS protein were defined across the three domains of life. While the precise function of the conserved regions remains unknown, they are probably involved in the enzymatic activity. Among eukaryotes, we found a high variability with respect to the number and the position of introns. However, some positions are conserved between fungi and a nematode. A maximum likelihood tree based upon the conserved regions showed that all sequences except the one from B. subtilis, belong to two basic groups: one the SA-like group including sequences from Archaeoglobus fulgidus and Streptomyces coelicolor, and second, the ACS group. The later can be further divided in two parts: a prokaryotic one including eubacteria and an archaebacterium, and a eukaryotic group within which two proteobacterial sequences branch including ACS from the alpha-proteobacterium Rhodobacter capsulatus. Within the eukaryotic group, bootstrap support is very low, but overall the data are consistent with the view that eukaryotes acquired their ACS gene from the ancestors of mitochondria. The localization of this enzyme in eukaryotic mitochondria is the additional evidence in favor of this interpretation.

Acetate-CoA Ligase↗

Comparative EST analyses in plant systems.

Expressed sequence tag (EST) data are a major contributor to the known plant sequence space. Organization of the data into non-redundant clusters representing tentative unique genes provides snapshots of the gene repertoires of a species. This chapter reviews availability of sequences and sequence analysis results and describes several resources and tools that should facilitate broad-based utilization of EST data for gene structure annotation, gene discovery, and comparative genomics.

Alternative Splicing↗

Columba: an integrated database of proteins, structures, and annotations.

BACKGROUND: Structural and functional research often requires the computation of sets of protein structures based on certain properties of the proteins, such as sequence features, fold classification, or functional annotation. Compiling such sets using current web resources is tedious because the necessary data are spread over many different databases. To facilitate this task, we have created COLUMBA, an integrated database of annotations of protein structures. DESCRIPTION: COLUMBA currently integrates twelve different databases, including PDB, KEGG, Swiss-Prot, CATH, SCOP, the Gene Ontology, and ENZYME. The database can be searched using either keyword search or data source-specific web forms. Users can thus quickly select and download PDB entries that, for instance, participate in a particular pathway, are classified as containing a certain CATH architecture, are annotated as having a certain molecular function in the Gene Ontology, and whose structures have a resolution under a defined threshold. The results of queries are provided in both machine-readable extensible markup language and human-readable format. The structures themselves can be viewed interactively on the web. CONCLUSION: The COLUMBA database facilitates the creation of protein structure data sets for many structure-based studies. It allows to combine queries on a number of structure-related databases not covered by other projects at present. Thus, information on both many and few protein structures can be used efficiently. The web interface for COLUMBA is available at http://www.columba-db.de.

Base Sequence↗

Consequences of mutations in human DNA polymerase gamma.

DNA polymerase gamma is responsible for replication and repair of the mitochondrial genome. Human DNA polymerase gamma is composed of a 140-kDa catalytic subunit and a 55-kDa accessory subunit. Mutations in the gene for the catalytic subunit (POLG) have been shown to be a frequent cause of mitochondrial disorders. To date over 40 disease mutations and 9 nonsynonymous polymorphisms in POLG have been found to be associated with autosomal recessive and dominant progressive external ophthalmoplegia (PEO), Alpers syndrome, sensory ataxia, neuropathy, dysarthria and ophthalmoparesis (SANDO), Parkinsonism, and male infertility. In this paper we review the literature of POLG mutations and discuss their impact on mitochondrial diseases. We also describe a public access web database to annotate POLG mutations for the research community.

Amino Acid Sequence↗

WWW access to the SYSTERS protein sequence cluster set.

SUMMARY: We present a Web server where the SYSTERS cluster set of the non-redundant protein database consisting of sequences from SWISS-PROT and PIR is being made available for querying and browsing. The cluster set can be searched with a new sequence using the SSMAL search tool. Additionally, a multiple alignment is generated for each cluster and annotated with domain information from the Pfam protein family database. AVAILABILITY: The server address is http://www.dkfz-heidelberg.de/tbi/services/cluster/ systersform

Algorithms↗

The EMBL Nucleotide Sequence Database.

The EMBL Nucleotide Sequence Database (http://www.ebi.ac.uk/embl/), maintained at the European Bioinformatics Institute (EBI), incorporates, organizes and distributes nucleotide sequences from public sources. The database is a part of an international collaboration with DDBJ (Japan) and GenBank (USA). Data are exchanged between the collaborating databases on a daily basis to achieve optimal synchrony. The web-based tool, Webin, is the preferred system for individual submission of nucleotide sequences, including Third Party Annotation (TPA) and alignment data. Automatic submission procedures are used for submission of data from large-scale genome sequencing centres and from the European Patent Office. Database releases are produced quarterly. The latest data collection can be accessed via FTP, email and WWW interfaces. The EBI's Sequence Retrieval System (SRS) integrates and links the main nucleotide and protein databases as well as many other specialist molecular biology databases. For sequence similarity searching, a variety of tools (e.g. FASTA and BLAST) are available that allow external users to compare their own sequences against the data in the EMBL Nucleotide Sequence Database, the complete genomic component subsection of the database, the WGS data sets and other databases. All available resources can be accessed via the EBI home page at http://www.ebi.ac.uk.

Animals↗

Links from genome proteins to known 3-D structures.

We describe a genome annotation service provided by the Entrez browser, http://www.ncbi.nlm.nih.gov/entrez. All protein products identified in fully sequenced microbial genomes have been compared with proteins with known 3-D structure by use of the BLAST sequence comparison algorithm. For the approximately 20% of genome proteins in which unambiguous sequence similarity is detected, Entrez provides a link from the gene product to its predicted structure. The service uses the Cn3D molecular graphics viewer to present a 3-D view of the known structure, together with an alignment display mapping conserved residues from the genome protein onto the known structure. Using an example from Aeropyrum pernix, we illustrate how mapping to a 3-D structure can confirm predictions of biological function.

Algorithms↗

Pfarao: a web application for protein family analysis customized for cytoskeletal and motor proteins (CyMoBase).

BACKGROUND: Annotation of protein sequences of eukaryotic organisms is crucial for the understanding of their function in the cell. Manual annotation is still by far the most accurate way to correctly predict genes. The classification of protein sequences, their phylogenetic relation and the assignment of function involves information from various sources. This often leads to a collection of heterogeneous data, which is hard to track. Cytoskeletal and motor proteins consist of large and diverse superfamilies comprising up to several dozen members per organism. Up to date there is no integrated tool available to assist in the manual large-scale comparative genomic analysis of protein families. DESCRIPTION: Pfarao (Protein Family Application for Retrieval, Analysis and Organisation) is a database driven online working environment for the analysis of manually annotated protein sequences and their relationship. Currently, the system can store and interrelate a wide range of information about protein sequences, species, phylogenetic relations and sequencing projects as well as links to literature and domain predictions. Sequences can be imported from multiple sequence alignments that are generated during the annotation process. A web interface allows to conveniently browse the database and to compile tabular and graphical summaries of its content. CONCLUSION: We implemented a protein sequence-centric web application to store, organize, interrelate, and present heterogeneous data that is generated in manual genome annotation and comparative genomics. The application has been developed for the analysis of cytoskeletal and motor proteins (CyMoBase) but can easily be adapted for any protein.

Amino Acid Sequence↗

Neural network prediction of translation initiation sites in eukaryotes: perspectives for EST and genome analysis.

Translation in eukaryotes does not always start at the first AUG in an mRNA, implying that context information also plays a role. This makes prediction of translation initiation sites a non-trivial task, especially when analysing EST and genome data where the entire mature mRNA sequence is not known. In this paper, we employ artificial neural networks to predict which AUG triplet in an mRNA sequence is the start codon. The trained networks correctly classified 88% of Arabidopsis and 85% of vertebrate AUG triplets. We find that our trained neural networks use a combination of local start codon context and global sequence information. Furthermore, analysis of false predictions shows that AUGs in frame with the actual start codon are more frequently selected than out-of-frame AUGs, suggesting that our networks use reading frame detection. A number of conflicts between neural network predictions and database annotations are analysed in detail, leading to identification of possible database errors.

Amino Acid Sequence↗

An accurate, sensitive, and scalable method to identify functional sites in protein structures.

Functional sites determine the activity and interactions of proteins and as such constitute the targets of most drugs. However, the exponential growth of sequence and structure data far exceeds the ability of experimental techniques to identify their locations and key amino acids. To fill this gap we developed a computational Evolutionary Trace method that ranks the evolutionary importance of amino acids in protein sequences. Studies show that the best-ranked residues form fewer and larger structural clusters than expected by chance and overlap with functional sites, but until now the significance of this overlap has remained qualitative. Here, we use 86 diverse protein structures, including 20 determined by the structural genomics initiative, to show that this overlap is a recurrent and statistically significant feature. An automated ET correctly identifies seven of ten functional sites by the least favorable statistical measure, and nine of ten by the most favorable one. These results quantitatively demonstrate that a large fraction of functional sites in the proteome may be accurately identified from sequence and structure. This should help focus structure-function studies, rational drug design, protein engineering, and functional annotation to the relevant regions of a protein.

Amino Acid Motifs↗

Human Immunodeficiency Virus Reverse Transcriptase and Protease Sequence Database.

The HIV RT and Protease Sequence Database is an on-line relational database that catalogues evolutionary and drug-related human immunodeficiency virus reverse transcriptase (RT) and protease sequence variation (http://hivdb.stanford.edu). The database contains a compilation of nearly all published HIV RT and protease sequences including International Collaboration database submissions (e.g., GenBank) and sequences published in journal articles. Sequences are linked to data about the source of the sequence sample and the anti-HIV drug treatment history of the individual from whom the isolate was obtained. The database is curated and sequences are annotated with data from 180 literature references. Users can retrieve additional data and view alignments of sequences sets meeting specific criteria (e.g., treatment history, subtype, presence of a particular mutation).

Anti-HIV Agents↗