Transcriptomic Profiling Maps Anatomically Patterned Subpopulations among Single Embryonic Cardiac Cells

• Published in: Developmental cell Vol. 39; no. 4; pp. 491 - 507
• Main Authors: Li, Guang, Xu, Adele, Sim, Sopheak, Priest, James R., Tian, Xueying, Khan, Tooba, Quertermous, Thomas, Zhou, Bin, Tsao, Philip S., Quake, Stephen R., Wu, Sean M.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 21.11.2016
• Subjects: Algorithms; Animals; Biomarkers - metabolism; cardiac development; cardiomyocyte; Cell Lineage - genetics; Cell Separation; congenital heart disease; Embryo, Mammalian - cytology; Embryoid Bodies - cytology; Gene Expression Profiling; Gene Expression Regulation, Developmental; Heart - embryology; Integrases - metabolism; Mice; Models, Biological; Myocardium - metabolism; Myocytes, Cardiac - cytology; Myocytes, Cardiac - metabolism; Nkx2-5; Polymerase Chain Reaction; Reproducibility of Results; Sequence Analysis, RNA; Single-Cell Analysis; single-cell RNA sequencing; single-cell RNA sequencing; congenital heart disease; Nkx2-5; cardiac development; cardiomyocyte

Embryonic gene expression intricately reflects anatomical context, developmental stage, and cell type. To address whether the precise spatial origins of cardiac cells can be deduced solely from their transcriptional profiles, we established a genome-wide expression database from 118, 949, and 1,166...