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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.
- Source :
-
Nature immunology [Nat Immunol] 2021 Dec; Vol. 22 (12), pp. 1577-1589. Date of Electronic Publication: 2021 Nov 22. - Publication Year :
- 2021
-
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.<br /> (© 2021. The Author(s).)
- Subjects :
- Age Factors
Blood Cells immunology
Blood Cells pathology
Bone Marrow Cells immunology
Bone Marrow Cells pathology
Cells, Cultured
Databases, Genetic
Healthy Aging genetics
Healthy Aging immunology
Healthy Aging metabolism
Humans
Leukemia genetics
Leukemia immunology
Leukemia metabolism
Leukemia pathology
RNA-Seq
Systems Biology
Blood Cells metabolism
Bone Marrow Cells metabolism
Cell Separation
Flow Cytometry
Gene Expression Profiling
Proteome
Proteomics
Single-Cell Analysis
Transcriptome
Subjects
Details
- Language :
- English
- ISSN :
- 1529-2916
- Volume :
- 22
- Issue :
- 12
- Database :
- MEDLINE
- Journal :
- Nature immunology
- Publication Type :
- Academic Journal
- Accession number :
- 34811546
- Full Text :
- https://doi.org/10.1038/s41590-021-01059-0