Identification of functional features underlying heat stress response in Sprague-Dawley rats using mixed linear models.

ABSTRACT: Since global temperature is expected to rise by 2 °C in 2050 heat stress may become the most severe environmental factor. In the study, we illustrate the application of mixed linear models for the analysis of whole transcriptome expression in livers and adrenal tissues of Sprague-Dawley rats obtained by a heat stress experiment. By applying those models, we considered four sources of variation in transcript expression, comprising transcripts (1), genes (2), Gene Ontology terms (3), and Reactome pathways (4) and focussed on accounting for the similarity within each source, which was expressed as a covariance matrix. Models based on transcripts or genes levels explained a larger proportion of log₂ fold change than models fitting the functional components of Gene Ontology terms or

SUBMITTER: Kotlarz K 

PROVIDER: S-EPMC9090733 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature