RatDEGdb: a knowledge base of differentially expressed genes in the rat as a model object in biomedical research.

The animal models used in biomedical research cover virtually every human disease. RatDEGdb, a knowledge base of the differentially expressed genes (DEGs) of the rat as a model object in biomedical research is a collection of published data on gene expression in rat strains simulating arterial hypertension, age-related diseases, psychopathological conditions and other human afflictions. The current release contains information on 25,101 DEGs representing 14,320 unique rat genes that change transcription levels in 21 tissues of 10 genetic rat strains used as models of 11 human diseases based on 45 original scientific papers. RatDEGdb is novel in that, unlike any other biomedical database, it offers the manually curated annotations of DEGs in model rats with the use of independent clinical data on equal changes in the expression of homologous genes revealed in people with pathologies. The rat DEGs put in RatDEGdb were annotated with equal changes in the expression of their human homologs in affected people. In its current release, RatDEGdb contains 94,873 such annotations for 321 human genes in 836 diseases based on 959 original scientific papers found in the current PubMed. RatDEGdb may be interesting first of all to human geneticists, molecular biologists, clinical physicians, genetic advisors as well as experts in biopharmaceutics, bioinformatics and personalized genomics. RatDEGdb is publicly available at https://www.sysbio.ru/RatDEGdb.

Human_SNP_TATAdb: a database of SNPs that statistically significantly change the affinity of the TATA-binding protein to human gene promoters: genome-wide analysis and use cases.

It was previously shown that the expression levels of human genes positively correlate with TBP affinity for the promoters of these genes. In turn, single nucleotide polymorphisms (SNPs) in human gene promoters can affect TBP affinity for DNA and, as a consequence, gene expression. The Institute of Cytology and Genetics SB RAS (ICG) has developed a method for predicting TBP affinity for gene promoters based on a three-step binding mecha- nism: (1) TBP slides along DNA, (2) TBP stops at the binding site, and (3) the TBP-promoter complex is fixed due to DNA helix bending. The method showed a high correlation of theoretical predictions with measured values during repeated experimental testing by independent groups of researchers. This model served as a base for other ICG web services, SNP_TATA_Z-tester and SNP_TATA_Comparator, which make a statistical assessment of the SNP-induced change in the affinity of TBP binding to the human gene promoter and help predict changes in expression that may be associated with a genetic predisposition to diseases or phenotypic features of the organism. In this work, we integrated into a single database information about SNPs in human gene promoters obtained by automatic extrac- tion from various heterogeneous data sources, as well as the estimates of TBP affinity for the promoter obtained using the three-step binding model and predicting their effect on gene expression for wild-type promoters and promoters with SNPs. We have shown that Human_SNP_TATAdb can be used for annotation and identification of candidate SNP markers of diseases. The results of a genome-wide data analysis are presented, including the distri- bution of genes with respect to the number of transcripts, the distribution of SNPs affecting TBP-DNA affinity with respect to positions within promoters, as well as patterns linking TBP affinity for the promoter, the specificity of the TBP binding site for the promoter and other characteristics of promoters. The results of the genome-wide analysis showed that the affinity of TBP for the promoter and the specificity of its binding site are statistically related to other characteristics of promoters important for the functional classification of promoters and the study of the features of differential gene expression.

Promoters of genes encoding ß-amylase, albumin and globulin in food plants have weaker affinity for TATA-binding protein as compared to non-food plants: in silico analysis.

It is generally accepted that during the domestication of food plants, selection was focused on their productivity, the ease of their technological processing into food, and resistance to pathogens and environmental stressors. Besides, the palatability of plant foods and their health benefits could also be subjected to selection by humans in the past. Nonetheless, it is unclear whether in antiquity, aside from positive selection for beneficial properties of plants, humans simultaneously selected against such detrimental properties as allergenicity. This topic is becoming increasingly relevant as the allergization of the population grows, being a major challenge for modern medicine. That is why intensive research by breeders is already underway for creating hypoallergenic forms of food plants. Accordingly, in this paper, albumin, globulin, and ß-amylase of common wheat Triticum aestivum L. (1753) are analyzed, which have been identified earlier as targets for attacks by human class E immunoglobulins. At the genomic level, we wanted to find signs of past negative selection against the allergenicity of these three proteins (albumin, globulin, and ß-amylase) during the domestication of ancestral forms of modern food plants. We focused the search on the TATA-binding protein (TBP)-binding site because it is located within a narrow region (between positions -70 and -20 relative to the corresponding transcription start sites), is the most conserved, necessary for primary transcription initiation, and is the best-studied regulatory genomic signal in eukaryotes. Our previous studies presented our publicly available Web service Plant_SNP_TATA_Z-tester, which makes it possible to estimate the equilibrium dissociation constant (KD) of TBP complexes with plant proximal promoters (as output data) using 90 bp of their DNA sequences (as input data). In this work, by means of this bioinformatics tool, 363 gene promoter DNA sequences representing 43 plant species were analyzed. It was found that compared with non-food plants, food plants are characterized by significantly weaker affinity of TBP for proximal promoters of their genes homologous to the genes of common-wheat globulin, albumin, and ß-amylase (food allergens) (p < 0.01, Fisher's Z-test). This evidence suggests that in the past humans carried out selective breeding to reduce the expression of food plant genes encoding these allergenic proteins.

[Candidate SNP-markers altering TBP binding affinity for promoters of the Y-linked genes CDY2A, SHOX, and ZFY are lowering many indexes of reproductive potential in men]. / Кандидатные SNP-маркеры, изменяющие сродство ТВРк промоторам Y-ÑÐ²ÑÐ·Ð°Ð½Ð½Ñ‹Ñ Ð³ÐµÐ½Ð¾Ð² CDY2A, SHOX, ZFY, снижают ряд показателей репродуктивного потенциала мужчин.

Reproductive potential is the most important conditional indicator reflecting the ability of individuals in a population to reproduce, survive and develop under optimal environmental conditions. As for humans, the concept of reproductive potential can include the level of the individual's mental and physical state, which allows them to reproduce healthy offspring when they reach social and physical maturity. Female reproductive potential has been investigated in great detail, whereas the male reproductive potential (MRP) has not received the equal amount of attention as yet. Therefore, here we focused on the human Y chromosome and found candidate single-nucleotide polymorphism (SNP) markers of MRP. With our development named Web-service SNP_TATA_Z-tester, we examined in silico all 35 unannotated SNPs within 70-bp proximal promoters of the three Y-linked genes, CDY2A, SHOX and ZFY, which represent all types of human Y-chromosome genes, namely: unique, pseudo-autosomal, and human X-chromosome gene paralogs, respectively. As a result, we found 11 candidate SNP markers for MRP, which can significantly alter the TATA-binding protein (TBP) binding affinity for promoters of these genes. First of all, we selectively verified in vitro the values of the TBP-promoter affinity under this study, Pearson's linear correlation between predicted and measured values of which were r = 0.94 (significance p < 0.005). Next, as a discussion, using keyword search tools of the PubMed database, we found clinically proven physiological markers of human pathologies, which correspond to a change in the expression of the genes carrying the candidate SNP markers predicted here. These were markers for spermatogenesis disorders (ZFY: rs1388535808 and rs996955491), for male maturation arrest (CDY2A: rs200670724) as well as for disproportionate short stature at Madelung deformity (e. g., SHOX: rs1452787381) and even for embryogenesis disorders (e. g., SHOX: rs28378830). This indicates a wide range of MRI indicators, alterations in which should be expected in the case of SNPs in the promoters of the human Y-chromosome genes and which can go far beyond changes in male fertility.

[Hypothetical SNP Markers That Significantly Affect the Affinity of the TATA-Binding Protein to VEGFA, ERBB2, IGF1R, FLT1, KDR, and MET Oncogene Promoters as Chemotherapy Targets].

The following hypothesis has been proposed: IF an SNP can significantly increase the expression of an oncogene by increasing the affinity of the TATA-binding protein (TBP) to its promoter, THEN this SNP can also reduce the apparent bioactivity of inhibitors of this oncogene during antitumor chemotherapy and vice versa. In the context of this hypothesis, the previously proposed method (http://beehive.bionet.nsc. ru/cgi-bin/mgs/tatascan/start.pl) was applied to analyze all SNPs found within the [-70; -20] regions (which harbor all proven TBP-binding sites) of the promoters of VEGFA, EGFR, ERBB2, IGF1R, FLT1, KDR, and MET oncogenes according to the human reference genome, hg19. For 83% of these SNPs, their effect on TBP affinity to the oncogene promoters required for assembly of preinitiation complexes was not significant. rs36208385, rs36208384, rs370995111, rs372731987, rs111811434, rs369547510, rs76407893, rs369728300, and rs72001900 can potentially serve as SNP markers to reduce the apparent bioactivity of oncogene inhibitors, while rs141092704, rs184083669, rs145139616, rs200697953, rs187746433, rs199730913, rs377370642, rs114484350, rs374921120, rs146790957, rs376727645, and rs72001900 can be the markers for enhancing this activity.

GeneNet in 2005.

The GeneNet system is designed for collection and analysis of the data on gene and metabolic networks, signal transduction pathways and kinetic characteristics of elementary processes. In the past 2 years, the GeneNet structure was considerably improved: (i) the current version of the database is now implemented using ORACLE9i; (ii) the capacities to describe the structure of the protein complexes and the interactions between the units are increased; (iii) two tables with kinetic constants and more detailed descriptions of certain reactions were added; and (iv) a module for kinetic modeling was supplemented. The current SRS release of the GeneNet database contains 37 graphical maps of gene networks, as well as descriptions of 1766 proteins, 1006 genes, 241 small molecules and 3254 relationships between gene network units, and 552 kinetic constants. Information distributed between 16 interlinked tables was obtained by annotating 1980 journal publications. SRS release of the GeneNet database, the graphical viewer and the modeling section are available at http://wwwmgs.bionet.nsc.ru/mgs/gnw/genenet/.