As we uncover in our latest podcast episode, a meta-analysis of multiple RNA sequencing datasets with different data types leads to truly novel insights. Listen as Consulting Editors Ganesh Halade (University of South Florida) and Taben Hale (University of Arizona) interview authors Adam Engler and Alex Whitehead (University of California, San Diego) about their unique meta-analysis of RNA sequencing data which compared postnatal day 1 and day 8 hearts post-MI. The authors identified two distinct data clusters—an infarct cluster and a sham control cluster—and identified 37 genes which are critically involved in connecting fibroblasts to macrophages in the cardiac remodeling process. Because the authors did not take an either/or approach, and instead focused on both macrophages and fibroblasts, their meta-analysis connected the dots between inflammation and scar formation gene networks. “I think this is a very good example of the sum being greater than the parts,” explained Engler. This innovative work highlights several specific inflammatory processes critical to post-MI remodeling. What cellular and molecular pathways do the authors think should be targeted for therapeutic success? Listen and learn more.
Alexander J. Whitehead and Adam J. Engler Regenerative Crosstalk between Cardiac Cells and Macrophages Am J Physiol Heart Circ Physiol, published March 26, 2021.