European Heart JournalDevelopmental BiologyPeer-reviewed journal article
Endocardial/endothelial angiocrines regulate cardiomyocyte development and maturation and induce features of ventricular non-compaction
Siyeon RheeiD, David T. PaikiD, Johnson Y. Yang, Danielle NagelbergiD, Ian M. WilliamsiD, Lei TianiD, Robert RothiD, Mark ChandyiD, Jiyeon Ban, Nadjet BelbachiriD, Seokho KimiD, Hao ZhangiD, Ragini PhansalkariD, Ka Man WongiD, Devin A. KingiD, Caroline Valdez, Virginia D. WinniD, Ashby J. MorrisoniD, Joseph C. WuiD, Kristy Red‐HorseiD
Abstract
Non-compaction cardiomyopathy is a devastating genetic disease caused by insufficient consolidation of ventricular wall muscle that can result in inadequate cardiac performance. Despite being the third most common cardiomyopathy, the mechanisms underlying the disease, including the cell types involved, are poorly understood. We have previously shown that endothelial cell-specific deletion of the chromatin remodeler gene Ino80 results in defective coronary vessel development that leads to ventricular noncompaction in embryonic mouse hearts. Here, we used single-cell RNA-sequencing to characterize endothelial and endocardial defects in Ino80-deficient hearts. We observed a pathological endocardial cell population in the non-compacted hearts, and identified multiple dysregulated angiocrine factors that dramatically affected cardiomyocyte behavior. We identified Col15A1 as a coronary vessel-secreted angiocrine factor, downregulated by Ino80-deficiency, that functioned to promote cardiomyocyte proliferation. Furthermore, mutant endocardial and endothelial cells (ECs) upregulated expression of secreted factors, such as Tgfbi, Igfbp3, Isg15, and Adm, which decreased cardiomyocyte proliferation and increased maturation. These findings support a model where coronary ECs normally promote myocardial compaction through secreted factors, but that endocardial and ECs can secrete factors that contribute to non-compaction under pathological conditions.
- organism: mouse
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 72
- FWCI
- 3.68
- Field percentile
- top 4%
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