计算生物学
造血
流式细胞术
细胞
造血细胞
仿形(计算机编程)
细胞仪
计算机科学
功能基因组学
生物
基因组学
单细胞分析
干细胞
基因组
细胞生物学
遗传学
免疫学
基因
操作系统
作者
Sergio Triana,Dominik Vonficht,Lea Jopp‐Saile,Simon Raffel,Raphael Lutz,Daniel Leonce,Magdalena Antes,Pablo Hernández-Malmierca,Diana Ordoñez‐Rueda,Beáta Ramasz,Tobias Boch,Johann-Christoph Jann,Daniel Nowak,Wolf‐Karsten Hofmann,Carsten Müller‐Tidow,Daniel Hübschmann,Theodore Alexandrov,Vladimı́r Beneš,Andreas Trumpp,Malte Paulsen
标识
DOI:10.1101/2021.03.18.435922
摘要
ABSTRACT Single-cell genomics has transformed our understanding of complex cellular systems. However, excessive costs 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 major 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 measuring the functional capacities of precisely mapped cell states at the single-cell level. Our study serves as an accessible resource and paves the way for a data-driven era in cytometry.
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