We are happy to share our first contribution to the #cardiology field.
@roramirezf94 & Jan Lanzer, et. al. present: “A Consensus Transcriptional Landscape of Human End-Stage Heart Failure” (medrxiv.org/content/10.110…) (1/7)
@roramirezf94 & Jan Lanzer, et. al. present: “A Consensus Transcriptional Landscape of Human End-Stage Heart Failure” (medrxiv.org/content/10.110…) (1/7)
In our pre-print we compared and integrated 16 public transcriptomic studies of the last 15 years that profiled over 900 left-ventricle biopsies of #heartfailure (HF) patients and control individuals (2/7)
We demonstrated that single studies reported highly dissimilar gene expression markers (A), however, a common disease signature became apparent with the use of transfer learning approaches (C) (3/7)
Then, we performed a meta-analysis to derive a HF consensus signature that reflects robust and consistent molecular hallmarks of end-stage HF. We extracted pathway activities w. PROGENy saezlab.github.io/progeny/ and TF activities w. DoRothEA saezlab.github.io/dorothea/ (4/7)
Finally, we demonstrated how these results can be used to build or confirm hypotheses from independent studies, by dissecting the reactivation of fetal gene program and tracing the myocardial origin of plasma biomarkers (5/7)
To facilitate the use of the results, @mr_netherlands built a user-friendly free platform: ReHeaT - Reference for the Heart Failure Transcriptome (saezlab.shinyapps.io/reheat/). We provide access to all code used for the analysis in: github.com/saezlab/HF_met… (6/7)
We thank all of the authors that contributed to this project. This work was supported by Informatics for Life funded by the Klaus Tschira Foundation (7/7)
