In vivo single-cell lineage tracing in zebrafish using high-resolution infrared laser-mediated gene induction microscopy

  1. Sicong He
  2. Ye Tian
  3. Shachuan Feng
  4. Yi Wu
  5. Xinwei Shen
  6. Kani Chen
  7. Yingzhu He
  8. Qiqi Sun
  9. Xuesong Li
  10. Jin Xu  Is a corresponding author
  11. Zilong Wen  Is a corresponding author
  12. Jianan Y Qu  Is a corresponding author
  1. Hong Kong University of Science and Technology, Hong Kong
  2. South China University of Technology, China

Abstract

Heterogeneity broadly exists in various cell types both during development and at homeostasis. Investigating heterogeneity is crucial for comprehensively understanding the complexity of ontogeny, dynamics, and function of specific cell types. Traditional bulk-labeling techniques are incompetent to dissect heterogeneity within cell population, while the new single-cell lineage tracing methodologies invented in the last decade can hardly achieve high-fidelity single-cell labeling and long-term in-vivo observation simultaneously. In this work, we developed a high-precision infrared laser-evoked gene operator heat-shock system, which uses laser-induced CreERT2 combined with loxP-DsRedx-loxP-GFP reporter to achieve precise single-cell labeling and tracing. In vivo study indicated that this system can precisely label single cell in brain, muscle and hematopoietic system in zebrafish embryo. Using this system, we traced the hematopoietic potential of hemogenic endothelium (HE) in the posterior blood island (PBI) of zebrafish embryo and found that HEs in the PBI are heterogeneous, which contains at least myeloid unipotent and myeloid-lymphoid bipotent subtypes.

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files. Source data files have been provided for Figure 2-4, Figure 1-supplement 2, Figure 2-supplement 4, Figure 3-supplement 1, Figure 3-supplement 3, Figure 4-supplement 1.

Article and author information

Author details

  1. Sicong He

    Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, Hong Kong
    Competing interests
    The authors declare that no competing interests exist.
  2. Ye Tian

    Division of Life Science, Hong Kong University of Science and Technology, Hong Kong, Hong Kong
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-9655-7123
  3. Shachuan Feng

    Division of Life Science, Hong Kong University of Science and Technology, Hong Kong, Hong Kong
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-8789-194X
  4. Yi Wu

    Division of Life Science, Hong Kong University of Science and Technology, Hong Kong, Hong Kong
    Competing interests
    The authors declare that no competing interests exist.
  5. Xinwei Shen

    Department of Mathematics, Hong Kong University of Science and Technology, Hong Kong, Hong Kong
    Competing interests
    The authors declare that no competing interests exist.
  6. Kani Chen

    Department of Mathematics, Hong Kong University of Science and Technology, Hong Kong, Hong Kong
    Competing interests
    The authors declare that no competing interests exist.
  7. Yingzhu He

    Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, Hong Kong
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2416-6254
  8. Qiqi Sun

    Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, Hong Kong
    Competing interests
    The authors declare that no competing interests exist.
  9. Xuesong Li

    Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, Hong Kong
    Competing interests
    The authors declare that no competing interests exist.
  10. Jin Xu

    Division of Cell, Developmental and Integrative Biology, School of Medicine, South China University of Technology, Guangzhou, China
    For correspondence
    xujin@scut.edu.cn
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-6840-1359
  11. Zilong Wen

    Division of Life Science, Hong Kong University of Science and Technology, Hong Kong, Hong Kong
    For correspondence
    zilong@ust.hk
    Competing interests
    The authors declare that no competing interests exist.
  12. Jianan Y Qu

    Department of Electronic and Computer Engineering, Center of Systems Biology and Human Health, Hong Kong University of Science and Technology, Hong Kong, Hong Kong
    For correspondence
    eequ@ust.hk
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-6809-0087

Funding

Hong Kong University of Science and Technology (RPC10EG33)

  • Jianan Y Qu

Research Grants Council, University Grants Committee (C6002-17GF)

  • Jianan Y Qu

National Key R&D Program of China (2018YFA0800200)

  • Jin Xu

Research Grants Council, University Grants Committee (662513)

  • Jianan Y Qu

Research Grants Council, University Grants Committee (16103215)

  • Jianan Y Qu

Research Grants Council, University Grants Committee (16148816)

  • Jianan Y Qu

Research Grants Council, University Grants Committee (16102518)

  • Jianan Y Qu

Research Grants Council, University Grants Committee (T13-607/12R)

  • Jianan Y Qu

Research Grants Council, University Grants Committee (T13-706/11-1)

  • Jianan Y Qu

Research Grants Council, University Grants Committee (AOE/M-09/12)

  • Jianan Y Qu

Research Grants Council, University Grants Committee (T13-605/18W)

  • Jianan Y Qu

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

Reviewing Editor

  1. Philippe Herbomel, Institut Pasteur, CNRS UMR3738, France

Version history

  1. Received: September 20, 2019
  2. Accepted: January 4, 2020
  3. Accepted Manuscript published: January 6, 2020 (version 1)
  4. Version of Record published: February 13, 2020 (version 2)

Copyright

© 2020, He 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.

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  1. Sicong He
  2. Ye Tian
  3. Shachuan Feng
  4. Yi Wu
  5. Xinwei Shen
  6. Kani Chen
  7. Yingzhu He
  8. Qiqi Sun
  9. Xuesong Li
  10. Jin Xu
  11. Zilong Wen
  12. Jianan Y Qu
(2020)
In vivo single-cell lineage tracing in zebrafish using high-resolution infrared laser-mediated gene induction microscopy
eLife 9:e52024.
https://doi.org/10.7554/eLife.52024

Share this article

https://doi.org/10.7554/eLife.52024

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