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Pressler, M. P.

Publications and source records attributed to Pressler, M. P..

2 recordsLinked to original sources

Comparative transcriptomics analysis of histone deacetylases, transcription factors, and ion channel genes in human iPSC-cardiomyocytes vs. the adult human heart

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.

bioengineering↗

Sex-dependent transcriptional control of cardiac electrophysiology by histone acetylation modifiers based on the GTEx database

Development of safer drugs based on epigenetic modifiers, e.g. histone deacetylase inhibitors (HDACi), requires better understanding of their effects on cardiac electrophysiology. Using RNAseq data from the genotype-tissue-expression database (GTEx), we created models that link the abundance of chromatin modifiers, such as histone acetylation enzymes (HDAC/SIRT/HATs), and the gene expression of ion channels (IC) via select cardiac transcription factors (TFs) in male and female adult human hearts (left ventricle, LV). Gene expression data (transcripts per million, TPM) from GTEx donors (21 to 70 y.o.) were filtered, normalized and transformed to Euclidian space to allow quantitative comparisons in 84 female and 158 male LVs. Sex-specific partial least-square (PLS) regression models, linking gene expression data for HDAC/SIRT/HATs to TFs and to ICs gene expression, revealed tight co-regulation of cardiac ion channels by HDAC/SIRT/HATs, with stronger clustering in the male LV. Co-regulation of genes encoding excitatory and inhibitory processes in cardiac tissue by the histone modifiers may help their predominantly net-neutral effects on cardiac electrophysiology. ATP1A1, encoding for the Na/K pump, represented an outlier - with orthogonal regulation by the histone modifiers to most of the ICs. The HDAC/SIRT/HAT effects were mediated by strong (+) TF regulators of ICs, e.g. MEF2A and TBX5, in both sexes. Furthermore, for male hearts, PLS models revealed a stronger (+)/(-) mediatory role on ICs for NKX25 and TGF1B/KLF4, respectively, while RUNX1 exhibited larger (-) TF effects on ICs in females. Male-trained PLS models of HDAC/SIRT/HAT effects on ICs underestimated the effects on some ICs in females. Insights from the GTEx dataset about the co-expression and transcriptional co-regulation of histone-modifying enzymes, transcription factors and key cardiac ion channels in a sex-specific manner can help inform safer drug design.

bioengineering↗