RNA-seq dynamic transcriptomic pipeline

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. Overall design: 3 time points (0, 45 minutes and 24 hours) and 8 animals per time point were used to increase statistical power of the analysis.