The Journal of Cell BiologyGenomicsPeer-reviewed journal article
Chromatin compartment dynamics in a haploinsufficient model of cardiac laminopathy
Alessandro BerteroiD, Paul FieldsiD, Alec S.T. SmithiD, Andrea LeonardiD, Kevin M. BeussmaniD, Nathan J. SniadeckiiD, Deok‐Ho KimiD, Hung‐Fat TseiD, Lil PaboniD, Jay ShendureiD, William Stafford NobleiD, Charles E. MurryiD
Abstract
Pathogenic mutations in A-type nuclear lamins cause dilated cardiomyopathy, which is postulated to result from dysregulated gene expression due to changes in chromatin organization into active and inactive compartments. To test this, we performed genome-wide chromosome conformation analyses (Hi-C) in human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) with a haploinsufficient mutation for lamin A/C. Compared to gene-corrected cells, mutant hiPSC-CMs have marked electrophysiological and contractile alterations, with modest gene expression changes. While large-scale changes in chromosomal topology are evident, differences in chromatin compartmentalization are limited to a few hotspots that escape inactivation during cardiogenesis. These regions exhibit upregulation of multiple non-cardiac genes including CACNA1A, encoding for neuronal P/Q-type calcium channels. Pharmacological inhibition of the resulting current partially mitigates the electrical alterations. On the other hand, A/B compartment changes do not explain most gene expression alterations in mutant hiPSC-CMs. We conclude that global errors in chromosomal compartmentation are not the primary pathogenic mechanism in heart failure due to lamin A/C haploinsufficiency. SummaryBertero et al. observe that lamin A/C haploinsufficiency in human cardiomyocytes markedly alters electrophysiology, contractility, gene expression, and chromosomal topology. Contrary to expectations, however, changes in chromatin compartments involve just few regions, and most dysregulated genes lie outside these hotspots. Condensed titleGenomic effects of lamin A/C haploinsufficiency
- organism: human
- assay: Hi-C
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: cell type annotation
- approach: statistical model
- approach: experimental assay
- Citations
- 73
- FWCI
- 3.06
- Field percentile
- top 7%
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