1. Single-Cell Transcriptomic Analyses of Cell Fate Transitions during Human Cardiac Reprogramming.
- Author
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Zhou, Yang, Liu, Ziqing, Welch, Joshua, Gao, Xu, Wang, Li, Garbutt, Tiffany, Keepers, Benjamin, Ma, Hong, Prins, Jan, Shen, Weining, Liu, Jiandong, and Qian, Li
- Subjects
CELL reprogramming ,RNA velocity ,SLICER ,cell fate index ,fibroblast ,iCM ,single-cell RNA-seq ,Animals ,Cell Differentiation ,Cell Lineage ,Cellular Reprogramming ,Cellular Reprogramming Techniques ,Fibroblasts ,Humans ,Myocytes ,Cardiac ,Sequence Analysis ,RNA ,Single-Cell Analysis ,Transcriptome - Abstract
Direct cellular reprogramming provides a powerful platform to study cell plasticity and dissect mechanisms underlying cell fate determination. Here, we report a single-cell transcriptomic study of human cardiac (hiCM) reprogramming that utilizes an analysis pipeline incorporating current data normalization methods, multiple trajectory prediction algorithms, and a cell fate index calculation we developed to measure reprogramming progression. These analyses revealed hiCM reprogramming-specific features and a decision point at which cells either embark on reprogramming or regress toward their original fibroblast state. In combination with functional screening, we found that immune-response-associated DNA methylation is required for hiCM induction and validated several downstream targets of reprogramming factors as necessary for productive hiCM reprograming. Collectively, this single-cell transcriptomics study provides detailed datasets that reveal molecular features underlying hiCM determination and rigorous analytical pipelines for predicting cell fate conversion.
- Published
- 2019