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Single-Cell Transcriptomic Analyses of Cell Fate Transitions during Human Cardiac Reprogramming.


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.

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC6684137 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Single-Cell Transcriptomic Analyses of Cell Fate Transitions during Human Cardiac Reprogramming.

Zhou Yang Y   Liu Ziqing Z   Welch Joshua D JD   Gao Xu X   Wang Li L   Garbutt Tiffany T   Keepers Benjamin B   Ma Hong H   Prins Jan F JF   Shen Weining W   Liu Jiandong J   Qian Li L  

Cell stem cell 20190620 1


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 fea  ...[more]

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