Single cell multiomics and 3D genome architecture reveal novel pathways of human heart failure Article Swipe
Yang Xie
,
Luca Tucciarone
,
Elie N. Farah
,
Lei Chang
,
Qian Yang
,
Thirupura S. Shankar
,
Weston Elison
,
Shaina Tran
,
Jovina Djulamsah
,
Anita Lie
,
Timothy Loe
,
Alyssa R. Holman
,
Sierra Corban
,
Justin Buchanan
,
Sainath Mamde
,
Haowen Zhou
,
Ruth M. Elgamal
,
Eleni Tseliou
,
Vincent Huang
,
Zhaoning Wang
,
Joanne Chiu
,
Rebecca Melton
,
Emily Griffin
,
Qingquan Zhang
,
Jacinta Lucero
,
Sutip Navankasattusas
,
Daofeng Li
,
Chanrung Seng
,
Eugin Destici
,
Craig H. Selzman
,
Agnieszka D’Antonio‐Chronowska
,
Ting Wang
,
Allen Wang
,
Stavros G. Drakos
,
Kyle J. Gaulton
,
Bing Ren
,
C. Neil
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1101/2025.05.08.25327176
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1101/2025.05.08.25327176
Heart failure is a leading cause of morbidity and mortality; yet gene regulatory mechanisms driving cell type-specific pathologic responses remain undefined. Here, we present the cell type-resolved transcriptomes, chromatin accessibility, histone modifications and chromatin organization of 36 non-failing and failing human hearts profiled from 776,479 cells spanning all cardiac chambers. Integrative analyses revealed dynamic changes in cell type composition, gene regulatory programs and chromatin organization, which expanded the annotation of cardiac cis-regulatory sequences by ten-fold and mapped cell type-specific enhancer-gene interactions. Cardiomyocytes and fibroblasts particularly exhibited complex disease-associated cellular states, gene regulatory programs and global chromatin reorganization. Mapping genetic association data onto cell type-specific regulatory programs revealed likely causal genetic contributors to heart failure. Together, these findings provide comprehensive, multimodal gene regulatory maps of the human heart in health and disease, offering a valuable framework for designing precise cell type-targeted therapies for treating heart failure.
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Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2025.05.08.25327176
- https://www.medrxiv.org/content/medrxiv/early/2025/05/09/2025.05.08.25327176.full.pdf
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410221305
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4410221305Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/2025.05.08.25327176Digital Object Identifier
- Title
-
Single cell multiomics and 3D genome architecture reveal novel pathways of human heart failureWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-05-09Full publication date if available
- Authors
-
Yang Xie, Luca Tucciarone, Elie N. Farah, Lei Chang, Qian Yang, Thirupura S. Shankar, Weston Elison, Shaina Tran, Jovina Djulamsah, Anita Lie, Timothy Loe, Alyssa R. Holman, Sierra Corban, Justin Buchanan, Sainath Mamde, Haowen Zhou, Ruth M. Elgamal, Eleni Tseliou, Vincent Huang, Zhaoning Wang, Joanne Chiu, Rebecca Melton, Emily Griffin, Qingquan Zhang, Jacinta Lucero, Sutip Navankasattusas, Daofeng Li, Chanrung Seng, Eugin Destici, Craig H. Selzman, Agnieszka D’Antonio‐Chronowska, Ting Wang, Allen Wang, Stavros G. Drakos, Kyle J. Gaulton, Bing Ren, C. NeilList of authors in order
- Landing page
-
https://doi.org/10.1101/2025.05.08.25327176Publisher landing page
- PDF URL
-
https://www.medrxiv.org/content/medrxiv/early/2025/05/09/2025.05.08.25327176.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.medrxiv.org/content/medrxiv/early/2025/05/09/2025.05.08.25327176.full.pdfDirect OA link when available
- Concepts
-
Computational biology, Heart failure, Architecture, Genome, Biology, Medicine, Genetics, Cardiology, Geography, Gene, ArchaeologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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