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Single-cell RNA sequencing to track novel perspectives in HSC heterogeneity
As the importance of cell heterogeneity has begun to be emphasized, single-cell sequencing approaches are rapidly adopted to study cell heterogeneity and cellular evolutionary relationships of various cells, including stem cell populations. The hematopoietic stem and progenitor cell (HSPC) compartme...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800338/ https://www.ncbi.nlm.nih.gov/pubmed/35093185 http://dx.doi.org/10.1186/s13287-022-02718-1 |
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author | Zhang, Pan Li, Xiang Pan, Chengwei Zheng, Xinmin Hu, Bohan Xie, Ruiheng Hu, Jialu Shang, Xuequn Yang, Hui |
author_facet | Zhang, Pan Li, Xiang Pan, Chengwei Zheng, Xinmin Hu, Bohan Xie, Ruiheng Hu, Jialu Shang, Xuequn Yang, Hui |
author_sort | Zhang, Pan |
collection | PubMed |
description | As the importance of cell heterogeneity has begun to be emphasized, single-cell sequencing approaches are rapidly adopted to study cell heterogeneity and cellular evolutionary relationships of various cells, including stem cell populations. The hematopoietic stem and progenitor cell (HSPC) compartment contains HSC hematopoietic stem cells (HSCs) and distinct hematopoietic cells with different abilities to self-renew. These cells perform their own functions to maintain different hematopoietic lineages. Undeniably, single-cell sequencing approaches, including single-cell RNA sequencing (scRNA-seq) technologies, empower more opportunities to study the heterogeneity of normal and pathological HSCs. In this review, we discuss how these scRNA-seq technologies contribute to tracing origin and lineage commitment of HSCs, profiling the bone marrow microenvironment and providing high-resolution dissection of malignant hematopoiesis, leading to exciting new findings in HSC biology. |
format | Online Article Text |
id | pubmed-8800338 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88003382022-02-02 Single-cell RNA sequencing to track novel perspectives in HSC heterogeneity Zhang, Pan Li, Xiang Pan, Chengwei Zheng, Xinmin Hu, Bohan Xie, Ruiheng Hu, Jialu Shang, Xuequn Yang, Hui Stem Cell Res Ther Review As the importance of cell heterogeneity has begun to be emphasized, single-cell sequencing approaches are rapidly adopted to study cell heterogeneity and cellular evolutionary relationships of various cells, including stem cell populations. The hematopoietic stem and progenitor cell (HSPC) compartment contains HSC hematopoietic stem cells (HSCs) and distinct hematopoietic cells with different abilities to self-renew. These cells perform their own functions to maintain different hematopoietic lineages. Undeniably, single-cell sequencing approaches, including single-cell RNA sequencing (scRNA-seq) technologies, empower more opportunities to study the heterogeneity of normal and pathological HSCs. In this review, we discuss how these scRNA-seq technologies contribute to tracing origin and lineage commitment of HSCs, profiling the bone marrow microenvironment and providing high-resolution dissection of malignant hematopoiesis, leading to exciting new findings in HSC biology. BioMed Central 2022-01-29 /pmc/articles/PMC8800338/ /pubmed/35093185 http://dx.doi.org/10.1186/s13287-022-02718-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Zhang, Pan Li, Xiang Pan, Chengwei Zheng, Xinmin Hu, Bohan Xie, Ruiheng Hu, Jialu Shang, Xuequn Yang, Hui Single-cell RNA sequencing to track novel perspectives in HSC heterogeneity |
title | Single-cell RNA sequencing to track novel perspectives in HSC heterogeneity |
title_full | Single-cell RNA sequencing to track novel perspectives in HSC heterogeneity |
title_fullStr | Single-cell RNA sequencing to track novel perspectives in HSC heterogeneity |
title_full_unstemmed | Single-cell RNA sequencing to track novel perspectives in HSC heterogeneity |
title_short | Single-cell RNA sequencing to track novel perspectives in HSC heterogeneity |
title_sort | single-cell rna sequencing to track novel perspectives in hsc heterogeneity |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800338/ https://www.ncbi.nlm.nih.gov/pubmed/35093185 http://dx.doi.org/10.1186/s13287-022-02718-1 |
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