Single-cell proteo-genomic reference maps of the hematopoietic system enable the purification and massive profiling of precisely defined cell states.
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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DOI：
10.1038/s41590-021-01059-0
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发表时间：
2021-12
影响因子：
30.5
通讯作者：
Haas S
中科院分区：
文献类型：
--
作者：
Triana S;Vonficht D;Jopp-Saile L;Raffel S;Lutz R;Leonce D;Antes M;Hernández-Malmierca P;Ordoñez-Rueda D;Ramasz B;Boch T;Jann JC;Nowak D;Hofmann WK;Müller-Tidow C;Hübschmann D;Alexandrov T;Benes V;Trumpp A;Paulsen M;Velten L;Haas S
单细胞基因组学技术改变了我们对复杂细胞系统的理解。然而，过高的成本和缺乏新鉴定的细胞类型的纯化策略阻碍了它们的功能表征和大规模分析。在这里，我们已经生成了人类血液和骨髓的高含量单细胞蛋白基因组参考图谱，这些图谱将多达197个表面标志物的表达与健康衰老和白血病中所有主要造血细胞类型的细胞身份和生物学过程定量联系起来。这些参考图谱能够自动设计具有成本效益的高通量细胞计数方案，其性能优于最先进的方法，准确反映细胞系统的复杂拓扑结构，并允许纯化精确定义的细胞状态。细胞计数和蛋白质基因组数据的系统整合使精确映射的细胞状态的功能能力能够在单细胞水平上测量。我们的研究作为一种可访问的资源，为细胞计数的数据驱动时代铺平了道路。哈斯、韦尔滕及其同事使用人类血液和骨髓的单细胞多组学来生成一个参考图谱，该图谱允许定量连接细胞计数和蛋白质基因组信息。
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. Haas, Velten and colleagues use single-cell multiomics of human blood and bone marrow to generate a reference map allowing the quantitative linking of cytometry and proteo-genomic information.
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