Single cell RNA-seq and ATAC-seq analysis of cardiac progenitor cell transition states and lineage settlement
- Formation and segregation of cell lineages forming the heart have been studied extensively but the underlying gene regulatory networks and epigenetic changes driving cell fate transitions during early cardiogenesis are still only partially understood. Here, we comprehensively characterize mouse cardiac progenitor cells (CPCs) marked by Nkx2-5 and Isl1 expression from E7.5 to E9.5 using single-cell RNA sequencing and transposase-accessible chromatin profiling (ATAC-seq). By leveraging on cell-to-cell transcriptome and chromatin accessibility heterogeneity, we identify different previously unknown cardiac subpopulations. Reconstruction of developmental trajectories reveal that multipotent Isl1+ CPC pass through an attractor state before separating into different developmental branches, whereas extended expression of Nkx2-5 commits CPC to an unidirectional cardiomyocyte fate. Furthermore, we show that CPC fate transitions are associated with distinct open chromatin states critically depending on Isl1 and Nkx2-5. Our data provide a model of transcriptional and epigenetic regulations during cardiac progenitor cell fate decisions at single-cell resolution.
Author: | Guangshuai Jia, Jens PreussnerORCiDGND, Xi Chen, Stefan GüntherORCiD, Xuejun Yuan, Michail YekelchykORCiDGND, Carsten Tobias KünneORCiDGND, Mario LoosoORCiDGND, Yonggang Zhou, Sarah TeichmannORCiD, Thomas BraunORCiDGND |
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URN: | urn:nbn:de:hebis:30:3-452858 |
DOI: | https://doi.org/10.1038/s41467-018-07307-6 |
ISSN: | 2041-1723 |
Pubmed Id: | https://pubmed.ncbi.nlm.nih.gov/30451828 |
Parent Title (English): | Nature Communications |
Publisher: | Nature Publishing Group UK |
Place of publication: | [London] |
Document Type: | Article |
Language: | English |
Year of Completion: | 2018 |
Date of first Publication: | 2018/11/19 |
Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
Release Date: | 2018/12/04 |
Tag: | Differentiation; Functional clustering; Stem cells |
Volume: | 9 |
Issue: | 1, Art. 4877 |
Page Number: | 17 |
First Page: | 1 |
Last Page: | 17 |
Note: | Rights and permissions: 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/. |
HeBIS-PPN: | 440043298 |
Institutes: | Medizin / Medizin |
Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
Sammlungen: | Universitätspublikationen |
Licence (German): | Creative Commons - Namensnennung 4.0 |