The Journal of Precision Medicine Health and DiseaseBioengineeringPeer-reviewed journal article
Comparative transcriptomics analysis of histone deacetylases, transcription factors, and ion channel genes in human iPSC-cardiomyocytes vs. the adult human heart
Maria R PozoiD, Michael P. Pressler, Anélia HorvathiD, Emilia G. EntchevaiD
Abstract
Epigenetic modulators such as histone deacetylases (HDACs) and histone acetyltransferases (HATs) are known master regulators of gene expression that substantially impact cardiac electrophysiology. Novel pharmacological agents, HDAC inhibitors, are rapidly emerging as treatments for cancer and immune diseases, and their effects on cardiac ion channels (ICs) are of great interest. We used small interfering RNAs to individually suppress each of the known HDACs, including sirtuins (SIRTs), in human induced pluripotent stem-cell-derived cardiomyocytes (hiPSC-CMs), iCell2. Follow-up deep-sequencing allowed comparison to identically processed and normalized RNA sequencing data from adult human left ventricle (LV) from the GTEx database. The transcriptomics analysis revealed high similarity of gene expression patterns for cardiac ICs (with some differences in calcium influx and calcium buffering related genes), as well as strong co-regulation by cardiac transcription factors (TFs) and HDACs/SIRTs in both hiPSC-CMs and the adult LV. Partial least square regression models helped visualize links between HDACs/HATs, TFs, and cardiac ICs and helped identify potential key regulators of cardiac IC transcription. Powerful TFs, including MEF2A, GATA4, 6 exerted positive effect on IC genes while RUNX1 and SHMT2 were distinct negative regulators in both sample types; TRIM28 was found to serve opposite roles in the two sample types. In functional measurements, HDAC suppression primarily increased excitability, while SIRT suppression decreased excitability, in line with transcriptomic links. Our analysis offers insights about the role of epigenetic modifiers in regulating cardiac electrophysiology and informs the utility of hiPSC-CM as a scalable experimental model for cardiotoxicity testing of HDAC inhibitors.
- organism: human
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: statistical model
- Citations
- 0
- FWCI
- 0.00
- Field percentile
- 13th percentile
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