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Single-cell analysis at the protein level delineates intracellular signaling dynamic during hematopoiesis

BACKGROUND: Hematopoietic stem and progenitor cell (HSPC) subsets in mice have previously been studied using cell surface markers, and more recently single-cell technologies. The recent revolution of single-cell analysis is substantially transforming our understanding of hematopoiesis, confirming th...

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Autores principales: Wang, Jinheng, Tu, Chenggong, Zhang, Hui, Huo, Yongliang, Menu, Eline, Liu, Jinbao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428103/
https://www.ncbi.nlm.nih.gov/pubmed/34503511
http://dx.doi.org/10.1186/s12915-021-01138-6
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author Wang, Jinheng
Tu, Chenggong
Zhang, Hui
Huo, Yongliang
Menu, Eline
Liu, Jinbao
author_facet Wang, Jinheng
Tu, Chenggong
Zhang, Hui
Huo, Yongliang
Menu, Eline
Liu, Jinbao
author_sort Wang, Jinheng
collection PubMed
description BACKGROUND: Hematopoietic stem and progenitor cell (HSPC) subsets in mice have previously been studied using cell surface markers, and more recently single-cell technologies. The recent revolution of single-cell analysis is substantially transforming our understanding of hematopoiesis, confirming the substantial heterogeneity of cells composing the hematopoietic system. While dynamic molecular changes at the DNA/RNA level underlying hematopoiesis have been extensively explored, a broad understanding of single-cell heterogeneity in hematopoietic signaling programs and landscapes, studied at protein level and reflecting post-transcriptional processing, is still lacking. Here, we accurately quantified the intracellular levels of 9 phosphorylated and 2 functional proteins at the single-cell level to systemically capture the activation dynamics of 8 signaling pathways, including EGFR, Jak/Stat, NF-κB, MAPK/ERK1/2, MAPK/p38, PI3K/Akt, Wnt, and mTOR pathways, during mouse hematopoiesis using mass cytometry. RESULTS: With fine-grained analyses of 3.2 million of single hematopoietic stem and progenitor cells (HSPCs), and lineage cells in conjunction with multiparameter cellular phenotyping, we mapped trajectories of signaling programs during HSC differentiation and identified specific signaling biosignatures of cycling HSPC and multiple differentiation routes from stem cells to progenitor and lineage cells. We also investigated the recovery pattern of hematopoietic cell populations, as well as signaling regulation in these populations, during hematopoietic reconstruction. Overall, we found substantial heterogeneity of pathway activation within HSPC subsets, characterized by diverse patterns of signaling. CONCLUSIONS: These comprehensive single-cell data provide a powerful insight into the intracellular signaling-regulated hematopoiesis and lay a solid foundation to dissect the nature of HSC fate decision. Future integration of transcriptomics and proteomics data, as well as functional validation, will be required to verify the heterogeneity in HSPC subsets during HSC differentiation and to identify robust markers to phenotype those HSPC subsets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12915-021-01138-6.
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spelling pubmed-84281032021-09-10 Single-cell analysis at the protein level delineates intracellular signaling dynamic during hematopoiesis Wang, Jinheng Tu, Chenggong Zhang, Hui Huo, Yongliang Menu, Eline Liu, Jinbao BMC Biol Research Article BACKGROUND: Hematopoietic stem and progenitor cell (HSPC) subsets in mice have previously been studied using cell surface markers, and more recently single-cell technologies. The recent revolution of single-cell analysis is substantially transforming our understanding of hematopoiesis, confirming the substantial heterogeneity of cells composing the hematopoietic system. While dynamic molecular changes at the DNA/RNA level underlying hematopoiesis have been extensively explored, a broad understanding of single-cell heterogeneity in hematopoietic signaling programs and landscapes, studied at protein level and reflecting post-transcriptional processing, is still lacking. Here, we accurately quantified the intracellular levels of 9 phosphorylated and 2 functional proteins at the single-cell level to systemically capture the activation dynamics of 8 signaling pathways, including EGFR, Jak/Stat, NF-κB, MAPK/ERK1/2, MAPK/p38, PI3K/Akt, Wnt, and mTOR pathways, during mouse hematopoiesis using mass cytometry. RESULTS: With fine-grained analyses of 3.2 million of single hematopoietic stem and progenitor cells (HSPCs), and lineage cells in conjunction with multiparameter cellular phenotyping, we mapped trajectories of signaling programs during HSC differentiation and identified specific signaling biosignatures of cycling HSPC and multiple differentiation routes from stem cells to progenitor and lineage cells. We also investigated the recovery pattern of hematopoietic cell populations, as well as signaling regulation in these populations, during hematopoietic reconstruction. Overall, we found substantial heterogeneity of pathway activation within HSPC subsets, characterized by diverse patterns of signaling. CONCLUSIONS: These comprehensive single-cell data provide a powerful insight into the intracellular signaling-regulated hematopoiesis and lay a solid foundation to dissect the nature of HSC fate decision. Future integration of transcriptomics and proteomics data, as well as functional validation, will be required to verify the heterogeneity in HSPC subsets during HSC differentiation and to identify robust markers to phenotype those HSPC subsets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12915-021-01138-6. BioMed Central 2021-09-09 /pmc/articles/PMC8428103/ /pubmed/34503511 http://dx.doi.org/10.1186/s12915-021-01138-6 Text en © The Author(s) 2021 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 Research Article
Wang, Jinheng
Tu, Chenggong
Zhang, Hui
Huo, Yongliang
Menu, Eline
Liu, Jinbao
Single-cell analysis at the protein level delineates intracellular signaling dynamic during hematopoiesis
title Single-cell analysis at the protein level delineates intracellular signaling dynamic during hematopoiesis
title_full Single-cell analysis at the protein level delineates intracellular signaling dynamic during hematopoiesis
title_fullStr Single-cell analysis at the protein level delineates intracellular signaling dynamic during hematopoiesis
title_full_unstemmed Single-cell analysis at the protein level delineates intracellular signaling dynamic during hematopoiesis
title_short Single-cell analysis at the protein level delineates intracellular signaling dynamic during hematopoiesis
title_sort single-cell analysis at the protein level delineates intracellular signaling dynamic during hematopoiesis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428103/
https://www.ncbi.nlm.nih.gov/pubmed/34503511
http://dx.doi.org/10.1186/s12915-021-01138-6
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