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

Author

Listed:
  • Jared M. Churko

    (Stanford University
    Stanford University
    Stanford University
    University of Arizona)

  • Priyanka Garg

    (Stanford University
    Stanford University
    Stanford University)

  • Barbara Treutlein

    (Stanford University)

  • Meenakshi Venkatasubramanian

    (Cincinnati Children’s Hospital Medical Center)

  • Haodi Wu

    (Stanford University
    Stanford University
    Stanford University)

  • Jaecheol Lee

    (Stanford University
    Stanford University
    Stanford University)

  • Quinton N. Wessells

    (Stanford University
    Stanford University
    Stanford University)

  • Shih-Yu Chen

    (Stanford University School of Medicine)

  • Wen-Yi Chen

    (Stanford University
    Stanford University
    Stanford University)

  • Kashish Chetal

    (Cincinnati Children’s Hospital Medical Center)

  • Gary Mantalas

    (Stanford University)

  • Norma Neff

    (Stanford University)

  • Eric Jabart

    (Zephyrus Biosciences
    Stanford University)

  • Arun Sharma

    (Stanford University
    Stanford University
    Stanford University)

  • Garry P. Nolan

    (Stanford University School of Medicine)

  • Nathan Salomonis

    (Cincinnati Children’s Hospital Medical Center)

  • Joseph C. Wu

    (Stanford University
    Stanford University
    Stanford University)

Abstract

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.

Suggested Citation

  • 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, 2018. "Defining human cardiac transcription factor hierarchies using integrated single-cell heterogeneity analysis," Nature Communications, Nature, vol. 9(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-07333-4
    DOI: 10.1038/s41467-018-07333-4
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    Cited by:

    1. Peilu She & Bangjun Gao & Dongliang Li & Chen Wu & Xuejiao Zhu & Yuan He & Fei Mo & Yao Qi & Daqing Jin & Yewei Chen & Xin Zhao & Jinzhong Lin & Hairong Hu & Jia Li & Bing Zhang & Peng Xie & Chengqi L, 2025. "The transcriptional repressor HEY2 regulates mitochondrial oxidative respiration to maintain cardiac homeostasis," Nature Communications, Nature, vol. 16(1), pages 1-19, December.

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