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Synergy of single-cell sequencing analyses and in vivo lineage-tracing approaches: A new opportunity for stem cell biology
School of Dentistry, University of Texas Health Science Center at Houston, Houston, 77054, USA
* Address correspondence to: Noriaki Ono,
BIOCELL 2022, 46(5), 1157-1162. https://doi.org/10.32604/biocell.2022.018960
Received 24 August 2021; Accepted 05 November 2021; Issue published 06 January 2022
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Single-cell sequencing technologies have rapidly progressed in recent years, and been applied to characterize stem cells in a number of organs. Somatic (postnatal) stem cells are generally identified using combinations of cell surface markers and transcription factors. However, it has been challenging to define micro-heterogeneity within “stem cell” populations, each of which stands at a different level of differentiation. As stem cells become defined at a single-cell level, their differentiation path becomes clearly defined. Here, this viewpoint discusses the potential synergy of single-cell sequencing analyses with in vivo lineage-tracing approaches, with an emphasis on practical considerations in stem cell biology.Keywords
Single-cell sequencing; in vivo lineage-lineage; skeletal stem cells (SSCs); mesenchymal stem cells (MSCs); bone marrow stromal cells (BMSCs)
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APA Style
MATSUSHITA, Y., ONO, W., ONO, N. (2022). Synergy of single-cell sequencing analyses and in vivo lineage-tracing approaches: A new opportunity for stem cell biology. BIOCELL, 46(5), 1157–1162. https://doi.org/10.32604/biocell.2022.018960
Vancouver Style
MATSUSHITA Y, ONO W, ONO N. Synergy of single-cell sequencing analyses and in vivo lineage-tracing approaches: A new opportunity for stem cell biology. BIOCELL. 2022;46(5):1157–1162. https://doi.org/10.32604/biocell.2022.018960
IEEE Style
Y. MATSUSHITA, W. ONO, and N. ONO, “Synergy of single-cell sequencing analyses and in vivo lineage-tracing approaches: A new opportunity for stem cell biology,” BIOCELL, vol. 46, no. 5, pp. 1157–1162, 2022. https://doi.org/10.32604/biocell.2022.018960
Copyright © 2022 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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