Transcription Regulatory Regions Database (TRRD) has been developed for accumulation of experimental information on the structure-function features of regulatory regions of eukaryotic genes. Each entry in TRRD corresponds to a particular gene and contains a description of structure-function features of its regulatory regions (transcription factor binding sites, promoters, enhancers, silencers, etc.) and gene expression regulation patterns. The current release, TRRD 4.2.5, comprises the description of 760 genes, 3403 expression patterns, and >4600 regulatory elements including 3604 transcription factor binding sites, 600 promoters and 152 enhancers. This information was obtained through annotation of 2537 scientific publications. TRRD 4.2.5 is available through the WWW at http://wwwmgs.bionet.nsc.ru/mgs/dbases/trrd4/
The Transcription Regulatory Regions Database (TRRD) is a curated database designed for accumulation of experimental data on extended regulatory regions of eukaryotic genes, the regulatory elements they contain, i.e., transcription factor binding sites, promoters, enhancers, silencers, etc., and expression patterns of the genes. Release 4.1 of TRRD offers a number of significant improvements, in particular, a more detailed description of transcription factor binding sites, transcription factors per se, and gene expression patterns in a computer-readable format. In addition, the new TRRD release provides considerably more references to other molecular biological databases. TRRD 4.1 is installed under SRS and is available through the WWW at http://www.bionet.nsc.ru/trrd/
The multidimensional bibliometric analysis of publications on nanoscience and nanotechnology (NS&NT) produced by the researchers of the Siberian Branch of the Russian Academy of Sciences (SB RAS) in 2007-2012 has shown their growing publication activity and international visibility in the field and the main objects of research such as nanoparticles, nanostructures (nanostructured materials), nanotubes (especially carbon ones), nanocomposites, nanocrystals, nanotechnology, and nanoelectronics and identified the most productive authors and institutes, as well as the most cited publications. It was made using the data from multidisciplinary (Web of Science, Scopus, and Russian Index of Scientific Citation) and specialized (Chemical Abstracts Plus and Inspec) information resources, that is from international (WoS, Scopus, CAPlus, and Inspec) and national (RISC) data bases. The analysis has shown that most of the SB RAS research works on NS&NT are concentrated in Novosibirsk Scientific Centre.
Using 42 nucleotide sequences extracted from the Transcription Regulatory Regions Database (TRRD) containing SF-1 transcription factor binding site, we have determined the decanucleotide (GTCAAGGTCA) consensus sequence for SF-1 binding. In the frequency matrix of this sequence nucleotides between the 3rd and the 7th position had the highest frequency and guanine nucleotides at the 6th and the 7th positions were recognized in all nucleotide sequences. The latter suggests a crucial role of these guanines for the interaction of DNA with SF-1 protein. The determined consensus and frequency matrix were used for search of putative SF-1 binding sites in regulatory regions of two genes, encoding mouse Cyp17 (17alpha-hydroxylase/17-20-lyase) and 3betaHSDI (3beta-hydroxysteroid dehydrogenase/4delta-5delta-isomerase I), the microsomal enzymes involved in steroidogenesis. 5;-Flanking regions of genes encoding Cyp17 and 3betaHSDI were shown to contain six and five such binding sites, respectively. The presence of the putative SF-1 binding sites in the regulatory regions of mouse Cyp17 and 3betaHSDI suggests that gene SF-1 could represent one of the putative genes which (as we predicted earlier) determine coordinated inheritable variability of hormonal activity in mouse Leydig cells.
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