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  • Defining human cardiac transcription factor hierarchies using integrated single-cell heterogeneity analysis.

Defining human cardiac transcription factor hierarchies using integrated single-cell heterogeneity analysis.

Nature communications (2018-11-23)
Jared M Churko, Priyanka Garg, Barbara Treutlein, Meenakshi Venkatasubramanian, Haodi Wu, Jaecheol Lee, Quinton N Wessells, Shih-Yu Chen, Wen-Yi Chen, Kashish Chetal, Gary Mantalas, Norma Neff, Eric Jabart, Arun Sharma, Garry P Nolan, Nathan Salomonis, Joseph C Wu
摘要

Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) have become a powerful tool for human disease modeling and therapeutic testing. However, their use remains limited by their immaturity and heterogeneity. To characterize the source of this heterogeneity, we applied complementary single-cell RNA-seq and bulk RNA-seq technologies over time during hiPSC cardiac differentiation and in the adult heart. Using integrated transcriptomic and splicing analysis, more than half a dozen distinct single-cell populations were observed, several of which were coincident at a single time-point, day 30 of differentiation. To dissect the role of distinct cardiac transcriptional regulators associated with each cell population, we systematically tested the effect of a gain or loss of three transcription factors (NR2F2, TBX5, and HEY2), using CRISPR genome editing and ChIP-seq, in conjunction with patch clamp, calcium imaging, and CyTOF analysis. These targets, data, and integrative genomics analysis methods provide a powerful platform for understanding in vitro cellular heterogeneity.

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Anti-SPINK1 antibody produced in rabbit, purified immunoglobulin, buffered aqueous solution