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Single-cell proteo-genomic reference maps of the hematopoietic system enable the purification and massive profiling of precisely defined cell states

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Item Type:Article
Title:Single-cell proteo-genomic reference maps of the hematopoietic system enable the purification and massive profiling of precisely defined cell states
Creators Name:Triana, S. and Vonficht, D. and Jopp-Saile, L. and Raffel, S. and Lutz, R. and Leonce, D. and Antes, M. and Hernández-Malmierca, P. and Ordoñez-Rueda, D. and Ramasz, B. and Boch, T. and Jann, J.C. and Nowak, D. and Hofmann, W.K. and Müller-Tidow, C. and Hübschmann, D. and Alexandrov, T. and Benes, V. and Trumpp, A. and Paulsen, M. and Velten, L. and Haas, S.
Abstract:Single-cell genomics technology has transformed our understanding of complex cellular systems. However, excessive cost and a lack of strategies for the purification of newly identified cell types impede their functional characterization and large-scale profiling. Here, we have generated high-content single-cell proteo-genomic reference maps of human blood and bone marrow that quantitatively link the expression of up to 197 surface markers to cellular identities and biological processes across all main hematopoietic cell types in healthy aging and leukemia. These reference maps enable the automatic design of cost-effective high-throughput cytometry schemes that outperform state-of-the-art approaches, accurately reflect complex topologies of cellular systems and permit the purification of precisely defined cell states. The systematic integration of cytometry and proteo-genomic data enables the functional capacities of precisely mapped cell states to be measured at the single-cell level. Our study serves as an accessible resource and paves the way for a data-driven era in cytometry.
Keywords:Gene Expression Analysis, Haematopoiesis, Haematopoietic Stem Cells, Leukaemia
Source:Nature Immunology
ISSN:1529-2908
Publisher:Nature Publishing Group
Volume:22
Number:12
Page Range:1577-1589
Date:December 2021
Official Publication:https://doi.org/10.1038/s41590-021-01059-0
PubMed:View item in PubMed
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https://edoc.mdc-berlin.de/20116/Preprint version

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