Co-expression networks uncover regulation of splicing and transcription markers of disease.

ABSTRACT: Gene co-expression networks based on gene expression data are usually used to capture biologically significant patterns, enabling the discovery of biomarkers and interpretation of regulatory relationships. However, the coordination of numerous splicing changes within and across genes can exert a substantial impact on the function of these genes. This is particularly impactful in studies of the properties of the nervous system, which can be masked in the networks that only assess the correlation between gene expression levels. A bioinformatics approach was developed to uncover the role of alternative splicing and associated transcriptional networks using RNA-seq profiles. Data from 40 samples, including control and two treatments associated with sensitivity to stimuli across two central ner

SUBMITTER: Zhang P 

PROVIDER: S-EPMC8764752 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature