bioRxivGenomicsPreprint
NKX2-5 congenital heart disease mutations show diverse loss and gain of epigenomic, biochemical and chromatin search functions underpinning pathogenicity
Alexander O. WardiD, Nicole Schönrock, Alex J. McCanniD, Sabrina K. PhanoriD, Kian Hong KockiD, Jesse V. KurlandiD, Fujian WuiD, Nicholas J. Murray, James L. WalsheiD, Dimuthu AlankarageiD, Sally L. DunwoodieiD, Frédéric A. MeunieriD, Mathias FrançoisiD, Martha L. BulykiD, Mirana RamialisoniD, Richard Paul HarveyiD
Abstract
Congenital heart defects (CHD) occur in [~]1% of live births, with inherited and acquired mutations and environmental factors contributing to causation. However, network perturbations in CHD remain poorly understood. We report an integrated functional-epigenomics approach to CHD, focusing on the cardiac homeodomain (HD) transcription factor NKX2-5, mutations which cause diverse heart structural and conduction defects. We selected twelve NKX2-5 CHD variants affecting different residue classes - homeodomain DNA base-contacting, backbone-contacting and helix-stabilizing, and those affecting other conserved protein:protein interaction (PPI) domains. In HL-1 cardiomyocytes, we profiled genome-wide DNA targets of NKX2-5 wild type (WT) and variants, their DNA binding affinity and specificity, PPI with known NKX2-5 cofactors and chromatin search dynamics. Variants showed diverse yet class-specific behaviours. All variants failed to bind many WT targets but retained binding to a subset of core cardiomyocyte-related targets, and bound hundreds of unique "off-targets" via changes to DNA binding site specificity, homodimerization, cofactor interactions and chromatin search functions. Our data suggest that complex residue-by-residue scale epigenomic, biochemical and chromatin search defects involving both loss-and gain-of-function contribute to CHD. These findings may inform precision molecular therapeutic approaches in patients with CHD.
- organism: mouse
- assay: ChIP-seq
- assay: DNA methylation
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: statistical model
- approach: experimental assay
- Citations
- 0
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