[Prediction of Bacterial and Archaeal Allergenicity with AllPred Program].

Nowadays, allergic disorders have become one of the most important social problems in the world. This can be related to the advent of new allergenic agents in the environment, as well as an increasing density of human contact with known allergens, including various proteins. Thus, the development of computer programs designed for the prediction of allergenic properties of proteins becomes one of the urgent tasks of mo dern bioinformatics. Previously we developed a web accessible Allpred Program (http://www-bionet.sscc.ru/ psd/cgi-bin/programs/Allpred/allpred.cgi) that allows users to assess the allergenicity of proteins by taking into account the characteristics of their spatial structure. In this paper, using AllPred, we predicted the allergenicity of proteins from 462 archaea and bacteria species for which a complete genome was available. The segregation of considered proteins on archaea and bacteria has shown that allergens are predicted more often among archaea than among bacteria. The division of these proteins into groups according to their intracellular localization has revealed that the majority of allergenic proteins were among the secreted proteins. The application of methods for predicting the level of gene expression of microorganisms based on DNA sequence analysis showed a statistically significant relationship between the expression level of the proteins and their allergenicity. This analysis has revealed that potentially allergenic proteins were more common among highly expressed proteins. Sorting microorganisms into the pathogenic and nonpathogenic groups has shown that pathogens can potentially be more allergenic because of a statistically significant greater number of allergens predicted among their proteins.

[Differential alternative splicing in brain regions of rats selected for aggressive behavior].

Profiles of alternative mRNA isoforms have been determined in three brain regions of rats from an aggressive and a tame line selected for 74 generations. Among 2319 genes with alternatively spliced exons, approximately 84% were confirmed by analyzing public databases. Based on Gene Ontology-guided clustering of alternatively spliced genes, it has been found that the sample was enriched in synapse-specific genes (FDR < 10^(-17)). Patterns of gene expression in the brains of animals with genetically determined high or low aggression were more frequently found to differ in the use of alternatively spliced exons than in animals environmentally conditioned for increased or lowered propensity to aggression. For the Adcyap1r1 gene, five alternatively spliced mRNA isoforms have been represented differentially in aggressive animals. A detailed analysis of the gene that encodes glutamate ionotropic receptor NMDA type subunit 1 (Grin1) has confirmed significant differences in the levels of its alternatively spliced isoforms in certain brain regions of tame and aggressive rats. These differences may affect the behavior in rats genetically selected for aggression levels.

[Computer methods of analysis of chromosome contacts in the cell nucleus based on sequencing technology data]. / Komp'iuternye metody analiza khromosomnykh kontaktov v iadre kletki po dannym tekhnologii sekvenirovaniia.

The study spatial chromosome structure and chromosome folding in the interphase cell nucleus is an important challenge of world science. Detection of eukaryotic genome regions that physically interact with each other could be done by modern sequencing technologies. A basic method of chromosome folding by total sequencing of contacting DNA fragments is HI-C. Long-range chromosomal interactions play an important role in gene transcription and regulation. The study of chromosome interactions, 3D (three-dimensional) genome structure and its effect on gene transcription allows revealing fundamental biological processes from a viewpoint of structural regulation and are important for cancer research. The technique of chromatin immunoprecipitation and subsequent sequencing (ChIP-seq) make possible to determine binding sites of transcription factors that regulate expression of eukaryotic genes; genome transcription factors binding maps have been. The ChIA-PET technology allows exploring not only target protein binding sites, but also pairs of such sites on proximally located and interacting with each other chromosomes co-located in three-dimensional space of the cell nucleus. Here we discuss the principles of the construction of genomic maps and matrices of chromosome contacts according to ChIA-PET and Hi-C data that capture the chromosome conformation and overview existing software for 3D genome analysis including in house programs of gene location analysis in topological domains.