Skip to content
BY-NC-ND 4.0 license Open Access Published by De Gruyter April 20, 2017

Analysis of differential gene expression by RNA-seq data in brain areas of laboratory animals

  • Vladimir N. Babenko , Anatoly O. Bragin , Anastasia M. Spitsina , Irina V. Chadaeva , Elvira R. Galieva , Galina V. Orlova , Irina V. Medvedeva and Yuriy L. Orlov


Computer analysis of gene expression in the nervous system plays a fundamental role in biology, genetics, and neurosciences. We studied molecular and genetic mechanisms of enhanced aggressiveness in comparison with tolerant behaviour using experimental animal models developed at the Institute of Cytology and Genetics SB RAS. Grey rats (Rattus norvegicus) have been subjected to selection during several generations in two directions - friendly, tolerant behaviour towards man (tame grey rats) and increased aggressive behaviour. We used samples from hypothalamus, mesencephalic tegmentum and periaqueductum grey matter from brain areas of grey rats genetically selected by behaviour in many generations. The set of computer tools and data processing pipelines helped to find genes and gene regulation patterns related to behaviour patterns. RNAprofiling experiments revealed the lists of differentially expressed genes in the contrast samples as well as differentially spliced isoforms. The gene ontology categories of protein transport, phosphoproteins, and nucleotide binding are presented together with categories of transmission of nerve impulses and neuron development were identified. Differential alternative splicing events found in the brain areas studied are statistically significant. We discuss role of alternative splicing events for neurospecific genes in behaviour patterns as well as extension of brain transcriptomics profiling.

Published Online: 2017-4-20
Published in Print: 2016-10-1

© 2016 The Author(s). Published by Journal of Integrative Bioinformatics.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Downloaded on 4.12.2023 from
Scroll to top button