ABSTRACT
The TRANSFAC database on transcription factors, their binding sites, nucleotide distribution matrices and regulated genes as well as the complementing database TRANSCompel on composite elements have been further enhanced on various levels. A new web interface with different search options and integrated versions of Match and Patch provides increased functionality for TRANSFAC. The list of databases which are linked to the common GENE table of TRANSFAC and TRANSCompel has been extended by: Ensembl, UniGene, EntrezGene, HumanPSD and TRANSPRO. Standard gene names from HGNC, MGI and RGD, are included for human, mouse and rat genes, respectively. With the help of InterProScan, Pfam, SMART and PROSITE domains are assigned automatically to the protein sequences of the transcription factors. TRANSCompel contains now, in addition to the COMPEL table, a separate table for detailed information on the experimental EVIDENCE on which the composite elements are based. Finally, for TRANSFAC, in respect of data growth, in particular the gain of Drosophila transcription factor binding sites (by courtesy of the Drosophila DNase I footprint database) and of Arabidopsis factors (by courtesy of DATF, Database of Arabidopsis Transcription Factors) has to be stressed. The here described public releases, TRANSFAC 7.0 and TRANSCompel 7.0, are accessible under http://www.gene-regulation.com/pub/databases.html.
Subject(s)
Databases, Genetic , Gene Expression Regulation , Regulatory Sequences, Nucleic Acid , Transcription Factors/metabolism , Animals , Arabidopsis/genetics , Arabidopsis Proteins/chemistry , Arabidopsis Proteins/metabolism , Binding Sites , DNA/chemistry , DNA/metabolism , Drosophila Proteins/chemistry , Drosophila Proteins/metabolism , Drosophila melanogaster/genetics , Humans , Internet , Mice , Protein Structure, Tertiary , Rats , Systems Integration , Transcription Factors/chemistry , Transcription, Genetic , User-Computer InterfaceABSTRACT
The TRANSFAC database on eukaryotic transcriptional regulation, comprising data on transcription factors, their target genes and regulatory binding sites, has been extended and further developed, both in number of entries and in the scope and structure of the collected data. Structured fields for expression patterns have been introduced for transcription factors from human and mouse, using the CYTOMER database on anatomical structures and developmental stages. The functionality of Match, a tool for matrix-based search of transcription factor binding sites, has been enhanced. For instance, the program now comes along with a number of tissue-(or state-)specific profiles and new profiles can be created and modified with Match Profiler. The GENE table was extended and gained in importance, containing amongst others links to LocusLink, RefSeq and OMIM now. Further, (direct) links between factor and target gene on one hand and between gene and encoded factor on the other hand were introduced. The TRANSFAC public release is available at http://www.gene-regulation.com. For yeast an additional release including the latest data was made available separately as TRANSFAC Saccharomyces Module (TSM) at http://transfac.gbf.de. For CYTOMER free download versions are available at http://www.biobase.de:8080/index.html.
Subject(s)
Databases, Genetic , Gene Expression Regulation , Transcription Factors/genetics , Transcription Factors/metabolism , Transcription, Genetic , Animals , Binding Sites , Eukaryotic Cells/metabolism , Gene Expression Profiling , Gene Expression Regulation, Developmental , Humans , Mice , Promoter Regions, Genetic , Saccharomyces/genetics , Saccharomyces/metabolism , Tissue DistributionABSTRACT
Arabidopsis thaliana is an important model system for plant biologists. In 1996 an international collaboration (the Arabidopsis Genome Initiative) was formed to sequence the whole genome of Arabidopsis and in 1999 the sequence of the first two chromosomes was reported. The sequence of the last three chromosomes and an analysis of the whole genome are reported in this issue. Here we present the sequence of chromosome 3, organized into four sequence segments (contigs). The two largest (13.5 and 9.2 Mb) correspond to the top (long) and the bottom (short) arms of chromosome 3, and the two small contigs are located in the genetically defined centromere. This chromosome encodes 5,220 of the roughly 25,500 predicted protein-coding genes in the genome. About 20% of the predicted proteins have significant homology to proteins in eukaryotic genomes for which the complete sequence is available, pointing to important conserved cellular functions among eukaryotes.
Subject(s)
Arabidopsis/genetics , Genome, Plant , Chromosome Mapping , DNA, Plant , Gene Duplication , Humans , Plant Proteins/genetics , Sequence Analysis, DNAABSTRACT
Chromosome 21 is the smallest human autosome. An extra copy of chromosome 21 causes Down syndrome, the most frequent genetic cause of significant mental retardation, which affects up to 1 in 700 live births. Several anonymous loci for monogenic disorders and predispositions for common complex disorders have also been mapped to this chromosome, and loss of heterozygosity has been observed in regions associated with solid tumours. Here we report the sequence and gene catalogue of the long arm of chromosome 21. We have sequenced 33,546,361 base pairs (bp) of DNA with very high accuracy, the largest contig being 25,491,867 bp. Only three small clone gaps and seven sequencing gaps remain, comprising about 100 kilobases. Thus, we achieved 99.7% coverage of 21q. We also sequenced 281,116 bp from the short arm. The structural features identified include duplications that are probably involved in chromosomal abnormalities and repeat structures in the telomeric and pericentromeric regions. Analysis of the chromosome revealed 127 known genes, 98 predicted genes and 59 pseudogenes.
Subject(s)
Chromosomes, Human, Pair 21 , Base Sequence , Chromosome Mapping , DNA , Down Syndrome/genetics , Genes , Humans , Molecular Sequence Data , Mutation , Sequence Analysis, DNAABSTRACT
A strategy for modeling continuous as well as discontinuous sites in protein structures has been developed. Central to this modeling strategy is the search algorithm of FITSITE, a program to search a given target structure for suitable combinations of backbone positions mirroring as closely as possible the geometric relationships of a source structural motif of interest. All target sites detected by FITSITE are further refined to mimic the source geometry. The sidechain rotamer library concept fails to precisely describe side chains involved in coordinative bonding (e.g, metal binding sites). Therefore an algorithm using detailed data-base bonding parameter information was applied for the side-chain construction. The FITSITE program and the subsequent processing of the program output are presented in a test case. The Rop protein, a four-helix bundle structure, served as the target protein. It was searched for candidate sites to model a variety of metal binding sites, with structures extracted from Brookhaven Protein Database entries. The preliminary protein models were investigated for structural overlaps with neighboring residues by interactive computer graphics; if required, additional changes were performed. A set of parameters for energy minimization with AMBER (including metal ions) was developed, and the completed Rop variants were energy minimized. Finally, 12 potentially metal binding Rop variants were selected for production via genetic engineering.
