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Biomedical subjects

A V Kochetov

Publications and source records attributed to A V Kochetov.

14 recordsLinked to original sources
PubMed2002

[Transgenic tobacco (Nicotiana tabacum SR1) plants expressing the gene coding for Serratia marcescens nuclease].

The gene coding for the secreted Serratia marcescens endonuclease was fused with the mannopine synthase promoter of Agrobacterium tumefaciens Ti plasmid and transferred to Nicotiana tabacum SR1 plants. The promoter is leaf- and root-specific. The resulting transgenic plants demonstrated elevated nuclease activity. The level of the transgene product was determined in the transgenic lines.

Endodeoxyribonucleases↗
PubMed2001

Presence of ATG triplets in 5' untranslated regions of eukaryotic cDNAs correlates with a 'weak' context of the start codon.

MOTIVATION: The context of the start codon (typically, AUG) and the features of the 5' Untranslated Regions (5' UTRs) are important for understanding translation regulation in eukaryotic mRNAs and for accurate prediction of the coding region in genomic and cDNA sequences. The presence of AUG triplets in 5' UTRs (upstream AUGs) might effect the initiation rate and, in the context of gene prediction, could reduce the accuracy of the identification of the authentic start. To reveal potential connections between the presence of upstream AUGs and other features of 5' UTRs, such as their length and the start codon context, we undertook a systematic analysis of the available eukaryotic 5' UTR sequences. RESULTS: We show that a large fraction of 5' UTRs in the available cDNA sequences, 15-53% depending on the organism, contain upstream ATGs. A negative correlation was observed between the information content of the translation start signal and the length of the 5' UTR. Similarly, a negative correlation exists between the 'strength' of the start context and the number of upstream ATGs. Typically, cDNAs containing long 5' UTRs with multiple upstream ATGs have a 'weak' start context, and in contrast, cDNAs containing short 5' UTRs without ATGs have 'strong' starts. These counter-intuitive results may be interpreted in terms of upstream AUGs having an important role in the regulation of translation efficiency by ensuring low basal translation level via double negative control and creating the potential for additional regulatory mechanisms. One of such mechanisms, supported by experimental studies of some mRNAs, includes removal of the AUG-containing portion of the 5' UTR by alternative splicing. AVAILABILITY: An ATG_ EVALUATOR program is available upon request or at www.itba.mi.cnr.it/webgene. CONTACT: rogozin@ncbi.nlm.nih.gov, milanesi@itba.mi.cnr.it.

5' Untranslated Regions↗
PubMed1998

Eukaryotic mRNAs encoding abundant and scarce proteins are statistically dissimilar in many structural features.

It is well known that non-coding mRNA sequences are dissimilar in many structural features. For individual mRNAs correlations were found for some of these features and their translational efficiency. However, no systematic statistical analysis was undertaken to relate protein abundance and structural characteristics of mRNA encoding the given protein. We have demonstrated that structural and contextual features of eukaryotic mRNAs encoding high- and low-abundant proteins differ in the 5' untranslated regions (UTR). Statistically, 5' UTRs of low-expression mRNAs are longer, their guanine plus cytosine content is higher, they have a less optimal context of the translation initiation codons of the main open reading frames and contain more frequently upstream AUG than 5' UTRs of high-expression mRNAs. Apart from the differences in 5' UTRs, high-expression mRNAs contain stronger termination signals. Structural features of low- and high-expression mRNAs are likely to contribute to the yield of their protein products.

5' Untranslated Regions↗
PubMed1998

GeneExpress: a computer system for description, analysis, and recognition of regulatory sequences in eukaryotic genome.

GeneExpress system has been designed to integrate description, analysis, and recognition of eukaryotic regulatory sequences. The system includes 5 basic units: (1) GeneNet contains an object-oriented database for accumulation of data on gene networks and signal transduction pathways and a Java-based viewer that allows an exploration and visualization of the GeneNet information; (2) Transcription Regulation combines the database on transcription regulatory regions of eukaryotic genes (TRRD) and TRRD Viewer; (3) Transcription Factor Binding Site Recognition contains a compilation of transcription factor binding sites (TFBSC) and programs for their analysis and recognition; (4) mRNA Translation is designed for analysis of structural and contextual features of mRNA 5'UTRs and prediction of their translation efficiency; and (5) ACTIVITY is the module for analysis and site activity prediction of a given nucleotide sequence. Integration of the databases in the GeneExpress is based on the Sequence Retrieval System (SRS) created in the European Bioinformatics Institute.

Artificial Intelligence↗
PubMed1995

[Primary structure of the coding part of the gene for human pancreatic ribonuclease and its chromosomal location].

On the basis of the known primary structure of the gene for murine pancreatic ribonuclease, two deoxyoligonucleotides were selected as primers for amplification of human pancreatic ribonuclease gene. The PCR amplified DNA fragment was subsequently cloned, and its nucleotide sequence was determined. Pancreatic ribonuclease gene was localized on human chromosome 14.

Amino Acid Sequence↗
PubMedDate not supplied

Integrated databases and computer systems for studying eukaryotic gene expression.

MOTIVATION: The goal of the work was to develop a WWW-oriented computer system providing a maximal integration of informational and software resources on the regulation of gene expression and navigation through them. Rapid growth of the variety and volume of information accumulated in the databases on regulation of gene expression necessarily requires the development of computer systems for automated discovery of the knowledge that can be further used for analysis of regulatory genomic sequences. RESULTS: The GeneExpress system developed includes the following major informational and software modules: (1) Transcription Regulation (TRRD) module, which contains the databases on transcription regulatory regions of eukaryotic genes and TRRD Viewer for data visualization; (2) Site Activity Prediction (ACTIVITY), the module for analysis of functional site activity and its prediction; (3) Site Recognition module, which comprises (a) B-DNA-VIDEO system for detecting the conformational and physicochemical properties of DNA sites significant for their recognition, (b) Consensus and Weight Matrices (ConsFrec) and (c) Transcription Factor Binding Sites Recognition (TFBSR) systems for detecting conservative contextual regions of functional sites and their recognition; (4) Gene Networks (GeneNet), which contains an object-oriented database accumulating the data on gene networks and signal transduction pathways, and the Java-based Viewer for exploration and visualization of the GeneNet information; (5) mRNA Translation (Leader mRNA), designed to analyze structural and contextual properties of mRNA 5'-untranslated regions (5'-UTRs) and predict their translation efficiency; (6) other program modules designed to study the structure-function organization of regulatory genomic sequences and regulatory proteins. AVAILABILITY: GeneExpress is available at http://wwwmgs.bionet.nsc. ru/systems/GeneExpress/ and the links to the mirror site(s) can be found at http://wwwmgs.bionet.nsc.ru/mgs/links/mirrors.html+ ++.

Algorithms↗
PubMedDate not supplied

Prediction of eukaryotic mRNA translational properties.

MOTIVATION: It is well known that eukaryotic mRNAs are translated at different levels depending on their sequence characteristics. Evaluation of mRNA translatability is of importance in prediction of the gene expression pattern by computer methods and to improve the recognition of mRNAs within cloned nucleotide sequences. It may also be used in biotechnological experiments to optimize the expression of foreign genes in transgenic organisms. RESULTS: The sets of 5' untranslated region characteristics, significantly different between mRNAs encoding abundant and scarce polypeptides, were determined for mammals, dicot plants and monocot plants, and collected in the LEADER_RNA database. Computer tools for the prediction of mRNA translatability are presented. AVAILABILITY: Programs for mRNA translatability prediction are available at http://wwwmgs.bionet.nsc. ru/programs/acts2/mo_mRNA.htm (for monocots), http://wwwmgs.bionet. nsc.ru/programs/acts2/di_mRNA.htm (for dicots) and http://wwwmgs. bionet.nsc.ru/programs/acts2/ma_mRNA.htm (for mammals). The LEADER_RNA database may be accessed at: http://wwwmgs.bionet.nsc. ru/systems/LeaderRNA/.

5' Untranslated Regions↗
PubMedDate not supplied

[mRNA-FAST (mRNA-Function, Activity, STructure) computer system].

Computer system mRNA-FAST (mRNA--Function, Activity, STructure; http://wwwmgs.bionet.nsc.ru/mgs/dbases/trsig/) is described. The system has been developed to analyze nucleotide sequences of mRNA and to measure their essential properties. The system compiles the data base on translation signals including nucleotide sequences of the regulatory regions with structural and experimental information on their specific activities. It also contains programs to search for local homology between mRNA and translation signals, to search for potential signals basing on analysis of the oligonucleotide dictionaries, and to model secondary RNA structure. Possible applications of the system mRNA-FAST are discussed.

Base Sequence↗
PubMedDate not supplied

[Context organization of mRNA 5'-untranslated regions of higher plants].

Computer analysis of nucleotide sequences of 5'-untranslated regions (5'-UTR) of higher plants mRNA adopted from the EMBL nucleotide sequence databank was carried out. It was demonstrated that the average nucleotide frequencies of the leader sequences and adjacent regions of basal promoters are similar, whereas introns and 3'-UTR have a higher content of T and a lower content of C. A particular 5'-UTR contextual feature is a misbalance in the content of complementary nucleotides; probably a stable secondary structure adversely affects the translation properties of the leader sequence. About 20% of 5'-UTR contain AUG triplets, which is twice the earlier estimate. Considered are the properties of leader open reading frames (uORF), the possible causes of their high content in 5'-UTRs of eukaryotic mTNAs, and correlations between the features of uORFs and of the protein-encoding sequence of the gene. It is demonstrated that in effectively translated mRNAs the leader AUG triplets are more frequently located in a nonoptimal context, whereas terminating codons of uORFs more frequently exist in the optimal one. A hypothesis is put forward that the efficiency of termination at the uORF stop codon might substantially interfere with the mRNA translation activity.

5' Untranslated Regions↗
PubMedDate not supplied

[The context organization of functional regions in yeast genes with high-level expression].

With the example of yeast genes, context organization was compared for functional gene regions (promoter, 5'-UTR, 3'-UTR) and tested for association with the level of gene expression. Several parameters (nucleotide composition, dinucletoide content bias) proved to correlate with expression level, each functional region having its specific features. Context optimization of a functional region was assumed to be essential for highly efficient interaction with the expression system of the cell. Specific context features were considered as dispersed signals important for high-level gene expression.

3' Untranslated Regions↗