Christopher De Bono, Yichi Xu, Samina Kausar, Marine Herbane, Camille Humbert, Sevda Rafatov, Chantal Missirian, Mathias Moreno, Weiyang Shi, Yorick Gitton, Alberto Lombardini, Ivo Vanzetta, Séverine Mazaud-Guittot, Alain Chédotal, Anaïs Baudot, Stéphane Zaffran, Heather C Etchevers
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引用次数: 0
Abstract
Forty first-trimester human hearts were studied to lay groundwork for further studies of the mechanisms underlying congenital heart defects. We first sampled 49,227 cardiac nuclei from three fetuses at 8.6, 9.0, and 10.7 post-conceptional weeks (pcw) for single-nucleus RNA sequencing, enabling the distinction of six classes comprising 21 cell types. Improved resolution led to the identification of previously unappreciated cardiomyocyte populations and minority autonomic and lymphatic endothelial transcriptomes, among others. After integration with 5-7 pcw heart single-cell RNA-sequencing data, we identified a human cardiomyofibroblast progenitor preceding the diversification of cardiomyocyte and stromal lineages. Spatial transcriptomic analysis (six Visium sections from two additional hearts) was aided by deconvolution, and key spatial markers validated on sectioned and whole hearts in two- and three-dimensional space and over time. Altogether, anatomical-positional features, including innervation, conduction and subdomains of the atrioventricular septum, translate latent molecular identity into specialized cardiac functions. This atlas adds unprecedented spatial and temporal resolution to the characterization of human-specific aspects of early heart formation.
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Development’s scope covers all aspects of plant and animal development, including stem cell biology and regeneration. The single most important criterion for acceptance in Development is scientific excellence. Research papers (articles and reports) should therefore pose and test a significant hypothesis or address a significant question, and should provide novel perspectives that advance our understanding of development. We also encourage submission of papers that use computational methods or mathematical models to obtain significant new insights into developmental biology topics. Manuscripts that are descriptive in nature will be considered only when they lay important groundwork for a field and/or provide novel resources for understanding developmental processes of broad interest to the community.
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