Cargando…
Lineage-specific regulatory changes in hypertrophic cardiomyopathy unraveled by single-nucleus RNA-seq and spatial transcriptomics
Hypertrophic cardiomyopathy (HCM) is the most common cardiac genetic disorder characterized by cardiomyocyte hypertrophy and cardiac fibrosis. Pathological cardiac remodeling in the myocardium of HCM patients may progress to heart failure. An in-depth elucidation of the lineage-specific changes in p...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842679/ https://www.ncbi.nlm.nih.gov/pubmed/36646705 http://dx.doi.org/10.1038/s41421-022-00490-3 |
_version_ | 1784870196114096128 |
---|---|
author | Liu, Xuanyu Yin, Kunlun Chen, Liang Chen, Wen Li, Wenke Zhang, Taojun Sun, Yang Yuan, Meng Wang, Hongyue Song, Yunhu Wang, Shuiyun Hu, Shengshou Zhou, Zhou |
author_facet | Liu, Xuanyu Yin, Kunlun Chen, Liang Chen, Wen Li, Wenke Zhang, Taojun Sun, Yang Yuan, Meng Wang, Hongyue Song, Yunhu Wang, Shuiyun Hu, Shengshou Zhou, Zhou |
author_sort | Liu, Xuanyu |
collection | PubMed |
description | Hypertrophic cardiomyopathy (HCM) is the most common cardiac genetic disorder characterized by cardiomyocyte hypertrophy and cardiac fibrosis. Pathological cardiac remodeling in the myocardium of HCM patients may progress to heart failure. An in-depth elucidation of the lineage-specific changes in pathological cardiac remodeling of HCM is pivotal for the development of therapies to mitigate the progression. Here, we performed single-nucleus RNA-seq of the cardiac tissues from HCM patients or healthy donors and conducted spatial transcriptomic assays on tissue sections from patients. Unbiased clustering of 55,122 nuclei from HCM and healthy conditions revealed 9 cell lineages and 28 clusters. Lineage-specific changes in gene expression, subpopulation composition, and intercellular communication in HCM were discovered through comparative analyses. According to the results of pseudotime ordering, differential expression analysis, and differential regulatory network analysis, potential key genes during the transition towards a failing state of cardiomyocytes such as FGF12, IL31RA, and CREB5 were identified. Transcriptomic dynamics underlying cardiac fibroblast activation were also uncovered, and potential key genes involved in cardiac fibrosis were obtained such as AEBP1, RUNX1, MEOX1, LEF1, and NRXN3. Using the spatial transcriptomic data, spatial activity patterns of the candidate genes, pathways, and subpopulations were confirmed on patient tissue sections. Moreover, we showed experimental evidence that in vitro knockdown of AEBP1 could promote the activation of human cardiac fibroblasts, and overexpression of AEBP1 could attenuate the TGFβ-induced activation. Our study provided a comprehensive analysis of the lineage-specific regulatory changes in HCM, which laid the foundation for targeted drug development in HCM. |
format | Online Article Text |
id | pubmed-9842679 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-98426792023-01-18 Lineage-specific regulatory changes in hypertrophic cardiomyopathy unraveled by single-nucleus RNA-seq and spatial transcriptomics Liu, Xuanyu Yin, Kunlun Chen, Liang Chen, Wen Li, Wenke Zhang, Taojun Sun, Yang Yuan, Meng Wang, Hongyue Song, Yunhu Wang, Shuiyun Hu, Shengshou Zhou, Zhou Cell Discov Article Hypertrophic cardiomyopathy (HCM) is the most common cardiac genetic disorder characterized by cardiomyocyte hypertrophy and cardiac fibrosis. Pathological cardiac remodeling in the myocardium of HCM patients may progress to heart failure. An in-depth elucidation of the lineage-specific changes in pathological cardiac remodeling of HCM is pivotal for the development of therapies to mitigate the progression. Here, we performed single-nucleus RNA-seq of the cardiac tissues from HCM patients or healthy donors and conducted spatial transcriptomic assays on tissue sections from patients. Unbiased clustering of 55,122 nuclei from HCM and healthy conditions revealed 9 cell lineages and 28 clusters. Lineage-specific changes in gene expression, subpopulation composition, and intercellular communication in HCM were discovered through comparative analyses. According to the results of pseudotime ordering, differential expression analysis, and differential regulatory network analysis, potential key genes during the transition towards a failing state of cardiomyocytes such as FGF12, IL31RA, and CREB5 were identified. Transcriptomic dynamics underlying cardiac fibroblast activation were also uncovered, and potential key genes involved in cardiac fibrosis were obtained such as AEBP1, RUNX1, MEOX1, LEF1, and NRXN3. Using the spatial transcriptomic data, spatial activity patterns of the candidate genes, pathways, and subpopulations were confirmed on patient tissue sections. Moreover, we showed experimental evidence that in vitro knockdown of AEBP1 could promote the activation of human cardiac fibroblasts, and overexpression of AEBP1 could attenuate the TGFβ-induced activation. Our study provided a comprehensive analysis of the lineage-specific regulatory changes in HCM, which laid the foundation for targeted drug development in HCM. Springer Nature Singapore 2023-01-17 /pmc/articles/PMC9842679/ /pubmed/36646705 http://dx.doi.org/10.1038/s41421-022-00490-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Liu, Xuanyu Yin, Kunlun Chen, Liang Chen, Wen Li, Wenke Zhang, Taojun Sun, Yang Yuan, Meng Wang, Hongyue Song, Yunhu Wang, Shuiyun Hu, Shengshou Zhou, Zhou Lineage-specific regulatory changes in hypertrophic cardiomyopathy unraveled by single-nucleus RNA-seq and spatial transcriptomics |
title | Lineage-specific regulatory changes in hypertrophic cardiomyopathy unraveled by single-nucleus RNA-seq and spatial transcriptomics |
title_full | Lineage-specific regulatory changes in hypertrophic cardiomyopathy unraveled by single-nucleus RNA-seq and spatial transcriptomics |
title_fullStr | Lineage-specific regulatory changes in hypertrophic cardiomyopathy unraveled by single-nucleus RNA-seq and spatial transcriptomics |
title_full_unstemmed | Lineage-specific regulatory changes in hypertrophic cardiomyopathy unraveled by single-nucleus RNA-seq and spatial transcriptomics |
title_short | Lineage-specific regulatory changes in hypertrophic cardiomyopathy unraveled by single-nucleus RNA-seq and spatial transcriptomics |
title_sort | lineage-specific regulatory changes in hypertrophic cardiomyopathy unraveled by single-nucleus rna-seq and spatial transcriptomics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842679/ https://www.ncbi.nlm.nih.gov/pubmed/36646705 http://dx.doi.org/10.1038/s41421-022-00490-3 |
work_keys_str_mv | AT liuxuanyu lineagespecificregulatorychangesinhypertrophiccardiomyopathyunraveledbysinglenucleusrnaseqandspatialtranscriptomics AT yinkunlun lineagespecificregulatorychangesinhypertrophiccardiomyopathyunraveledbysinglenucleusrnaseqandspatialtranscriptomics AT chenliang lineagespecificregulatorychangesinhypertrophiccardiomyopathyunraveledbysinglenucleusrnaseqandspatialtranscriptomics AT chenwen lineagespecificregulatorychangesinhypertrophiccardiomyopathyunraveledbysinglenucleusrnaseqandspatialtranscriptomics AT liwenke lineagespecificregulatorychangesinhypertrophiccardiomyopathyunraveledbysinglenucleusrnaseqandspatialtranscriptomics AT zhangtaojun lineagespecificregulatorychangesinhypertrophiccardiomyopathyunraveledbysinglenucleusrnaseqandspatialtranscriptomics AT sunyang lineagespecificregulatorychangesinhypertrophiccardiomyopathyunraveledbysinglenucleusrnaseqandspatialtranscriptomics AT yuanmeng lineagespecificregulatorychangesinhypertrophiccardiomyopathyunraveledbysinglenucleusrnaseqandspatialtranscriptomics AT wanghongyue lineagespecificregulatorychangesinhypertrophiccardiomyopathyunraveledbysinglenucleusrnaseqandspatialtranscriptomics AT songyunhu lineagespecificregulatorychangesinhypertrophiccardiomyopathyunraveledbysinglenucleusrnaseqandspatialtranscriptomics AT wangshuiyun lineagespecificregulatorychangesinhypertrophiccardiomyopathyunraveledbysinglenucleusrnaseqandspatialtranscriptomics AT hushengshou lineagespecificregulatorychangesinhypertrophiccardiomyopathyunraveledbysinglenucleusrnaseqandspatialtranscriptomics AT zhouzhou lineagespecificregulatorychangesinhypertrophiccardiomyopathyunraveledbysinglenucleusrnaseqandspatialtranscriptomics |