Intracellular and Intercellular Gene Regulatory Network Inference From Time-Course Individual RNA-Seq.

ABSTRACT: Gene regulatory network (GRN) inference is an effective approach to understand the molecular mechanisms underlying biological events. Generally, GRN inference mainly targets intracellular regulatory relationships such as transcription factors and their associated targets. In multicellular organisms, there are both intracellular and intercellular regulatory mechanisms. Thus, we hypothesize that GRNs inferred from time-course individual (whole embryo) RNA-Seq during development can reveal intercellular regulatory relationships (signaling pathways) underlying the development. Here, we conducted time-course bulk RNA-Seq of individual mouse embryos during early development, followed by pseudo-time analysis and GRN inference. The results demonstrated that GRN inference from RNA-Seq with pseudo-t

SUBMITTER: Kashima M 

PROVIDER: S-EPMC9580923 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature