Purpose: Develop an analytical pipeline for dynamic RNA-seq experiments and highlight the importance of considering surgery effect in MI-induced models;	Methods: Mice have undergone surgery, hearts were harvested and RNA was extracted, sequenced and analyzed by DESeq2 R package. Differentially expressed transcripts were clustered by WGCNA and  then analyzed to identify enriched biological processes and transcription factors.;	Results: Our pipeline enabled the detection of 1027 DETs. Enriched biological processes were mainly cell signilisation and inflammatory related. IL-6 was found as a key controller of the identified TFs and DETs. Immune cells were recruited to the myocardium later post surgery and some possessed phenotypic changes. SOURCE: Sally Badawi (sally.badawi@etu.univ-lyon1.fr) - CarMeN Université Claude Bernard Lyon1

Pluto Bioinformatics

GSE127244: RNA-seq dynamic transcriptomic pipeline