Combined lineage tracing and scRNA-seq reveals unexpected first heart field predominance of human iPSC differentiation

  1. Francisco Xavier Galdos
  2. Carissa Lee
  3. Soah Lee
  4. Sharon Paige
  5. William Goodyer
  6. Sidra Xu
  7. Tahmina Samad
  8. Gabriela V Escobar
  9. Adrija Darsha
  10. Aimee Beck
  11. Rasmus O Bak
  12. Matthew H Porteus
  13. Sean Wu  Is a corresponding author
  1. Stanford University, United States
  2. Sungkyunkwan University, Republic of Korea
  3. University of California, San Diego, United States
  4. Aarhus University, Denmark

Abstract

During mammalian development, the left and right ventricles arise from early populations of cardiac progenitors known as the first and second heart fields, respectively. While these populations have been extensively studied in non-human model systems, their identification and study in vivo human tissues have been limited due to the ethical and technical limitations of accessing gastrulation stage human embryos. Human induced pluripotent stem cells (hiPSCs) present an exciting alternative for modeling early human embryogenesis due to their well-established ability to differentiate into all embryonic germ layers. Here, we describe the development of a TBX5/MYL2 lineage tracing reporter system that allows for the identification of FHF- progenitors and their descendants including left ventricular cardiomyocytes. Furthermore, using single cell RNA sequencing (scRNA-seq) with oligonucleotide-based sample multiplexing, we extensively profiled differentiating hiPSCs across 12 timepoints in two independent iPSC lines. Surprisingly, our reporter system and scRNA-seq analysis revealed a predominance of FHF differentiation using the small molecule Wnt-based 2D differentiation protocol. We compared this data with existing murine and 3D cardiac organoid scRNA-seq data and confirmed the dominance of left ventricular cardiomyocytes (>90%) in our hiPSC-derived progeny. Together, our work provides the scientific community with a powerful new genetic lineage tracing approach as well as a single cell transcriptomic atlas of hiPSCs undergoing cardiac differentiation.

Data availability

All raw data for single cell RNA-sequencing has been deposited in the GEO repository under accession number GSE202398. Accession numbers for publicly available data re-analyzed for this study can be found in Supplementary File 9. Standard code and functions used for single cell analysis are available at the following Github repositories: Seurat (https://github.com/satijalab/seurat/), ScanPy (https://github.com/scverse/scanpy), STREAM (https://github.com/pinellolab/STREAM), SoupX (https://github.com/constantAmateur/SoupX), CellRanger (https://support.10xgenomics.com/single-cell-gene-expression/software/pipelines/latest/using/tutorial_ov ).

The following data sets were generated
The following previously published data sets were used

Article and author information

Author details

  1. Francisco Xavier Galdos

    Stanford Cardiovascular Institute, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-7985-4521
  2. Carissa Lee

    Stanford Cardiovascular Institute, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Soah Lee

    Department of Pharmacy, Sungkyunkwan University, Seoul, Republic of Korea
    Competing interests
    The authors declare that no competing interests exist.
  4. Sharon Paige

    Stanford Cardiovascular Institute, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  5. William Goodyer

    Stanford Cardiovascular Institute, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  6. Sidra Xu

    Stanford Cardiovascular Institute, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  7. Tahmina Samad

    Stanford Cardiovascular Institute, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  8. Gabriela V Escobar

    Stanford Cardiovascular Institute, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  9. Adrija Darsha

    School of Medicine, University of California, San Diego, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  10. Aimee Beck

    Stanford Cardiovascular Institute, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  11. Rasmus O Bak

    Department of Biomedicine, Aarhus University, Aarhus C, Denmark
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-7383-0297
  12. Matthew H Porteus

    Department of Pediatrics, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-3850-4648
  13. Sean Wu

    Stanford Cardiovascular Institute, Stanford University, Stanford, United States
    For correspondence
    smwu@stanford.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-0000-3821

Funding

NHLBI Division of Intramural Research (F30Hl149152)

  • Francisco Xavier Galdos

NHLBI Division of Intramural Research (R01HL13483004)

  • Sean Wu

NIH Office of the Director (1RM1 GM131981-02)

  • Sean Wu

NHLBI Division of Intramural Research (R01HL13483004)

  • Sean Wu

NIH Office of the Director (NIH T32 GM007365)

  • Francisco Xavier Galdos

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. Hina W Chaudhry, Icahn School of Medicine at Mount Sinai, United States

Version history

  1. Preprint posted: October 1, 2021 (view preprint)
  2. Received: May 6, 2022
  3. Accepted: May 27, 2023
  4. Accepted Manuscript published: June 7, 2023 (version 1)
  5. Version of Record published: July 14, 2023 (version 2)

Copyright

© 2023, Galdos et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 2,780
    views
  • 405
    downloads
  • 11
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Francisco Xavier Galdos
  2. Carissa Lee
  3. Soah Lee
  4. Sharon Paige
  5. William Goodyer
  6. Sidra Xu
  7. Tahmina Samad
  8. Gabriela V Escobar
  9. Adrija Darsha
  10. Aimee Beck
  11. Rasmus O Bak
  12. Matthew H Porteus
  13. Sean Wu
(2023)
Combined lineage tracing and scRNA-seq reveals unexpected first heart field predominance of human iPSC differentiation
eLife 12:e80075.
https://doi.org/10.7554/eLife.80075

Share this article

https://doi.org/10.7554/eLife.80075

Further reading

    1. Developmental Biology
    Phuong-Khanh Nguyen, Louise Y Cheng
    Research Article Updated

    The brain is consisted of diverse neurons arising from a limited number of neural stem cells. Drosophila neural stem cells called neuroblasts (NBs) produces specific neural lineages of various lineage sizes depending on their location in the brain. In the Drosophila visual processing centre - the optic lobes (OLs), medulla NBs derived from the neuroepithelium (NE) give rise to neurons and glia cells of the medulla cortex. The timing and the mechanisms responsible for the cessation of medulla NBs are so far not known. In this study, we show that the termination of medulla NBs during early pupal development is determined by the exhaustion of the NE stem cell pool. Hence, altering NE-NB transition during larval neurogenesis disrupts the timely termination of medulla NBs. Medulla NBs terminate neurogenesis via a combination of apoptosis, terminal symmetric division via Prospero, and a switch to gliogenesis via Glial Cell Missing (Gcm); however, these processes occur independently of each other. We also show that temporal progression of the medulla NBs is mostly not required for their termination. As the Drosophila OL shares a similar mode of division with mammalian neurogenesis, understanding when and how these progenitors cease proliferation during development can have important implications for mammalian brain size determination and regulation of its overall function.

    1. Developmental Biology
    2. Neuroscience
    Amy R Poe, Lucy Zhu ... Matthew S Kayser
    Research Article

    Sleep and feeding patterns lack strong daily rhythms during early life. As diurnal animals mature, feeding is consolidated to the day and sleep to the night. In Drosophila, circadian sleep patterns are initiated with formation of a circuit connecting the central clock to arousal output neurons; emergence of circadian sleep also enables long-term memory (LTM). However, the cues that trigger the development of this clock-arousal circuit are unknown. Here, we identify a role for nutritional status in driving sleep-wake rhythm development in Drosophila larvae. We find that in the 2nd instar larval period (L2), sleep and feeding are spread across the day; these behaviors become organized into daily patterns by the 3rd instar larval stage (L3). Forcing mature (L3) animals to adopt immature (L2) feeding strategies disrupts sleep-wake rhythms and the ability to exhibit LTM. In addition, the development of the clock (DN1a)-arousal (Dh44) circuit itself is influenced by the larval nutritional environment. Finally, we demonstrate that larval arousal Dh44 neurons act through glucose metabolic genes to drive onset of daily sleep-wake rhythms. Together, our data suggest that changes to energetic demands in developing organisms trigger the formation of sleep-circadian circuits and behaviors.