Accepted_test

Ontology analysis of big transcriptomic data and differential gene expression
by Chadaeva I.V. | ICG SB RAS
Abstract ID: 773
Event: BGRS-abstracts
Sections: [Sym 1] Section “Genome-wide transcriptomics (differential gene expression)”

The aim of this study was to conduct an ontological analysis of the transcriptomes of two strains of gray rats, tame and aggressive, and to identify differentially expressed genes and compare them with human transcriptomic data according to the specific disease phenotype.

Two molecular markers associated with the risk of developing stress-sensitive hypertension have been shown: the Pcdhb9 and Hbb-b1 genes; and only one gene, Fcgr2b, as a molecular marker associated with the risk of developing age-related diseases. When comparing the transcriptomes of domestic and wild animals with the transcriptome of the hypothalamus of tame and aggressive gray rats, a number of genes were identified, changes in the expression of which reflect the effects of artificial selection and intraspecific variability. In addition, the correspondence between the increased level of expression of the Ascl3 gene in tame rats and changes in the expression of genes from the list of DEGs in the midbrain tegmentum was analyzed and it was revealed that among all significantly enriched motifs of genes with reduced expression in tame animals, motifs corresponding to potential binding sites for the transcription factor ASCL3 make up the majority . Thus, the ontological approach and principal component analysis allowed us to identify molecular markers of hypertension and age-related diseases, as well as to identify genes associated with domestication.