德国海德堡干细胞技术与实验医学研究所Haas Simon团队和西班牙巴塞罗那科学技术研究所Lars Velten团队合作，取得一项新突破。他们的最新研究表明造血系统的单细胞蛋白质基因组参考图谱能够对精准定义的细胞类群进行纯化和大规模数据分析。该项研究成果于2021年11月22日在线发表在《自然—免疫学》杂志上。

研究人员生成了人类血液和骨髓的高含量单细胞蛋白质基因组参考图谱，将多达197种表面标记物的表达与健康衰老以及白血病中所涵盖的主要造血细胞类型的细胞特性和生物学过程定量联系起来。这些参考图谱能够自动设计高性价比的高通量细胞鉴定方案，这一方案能够准确反映细胞系统的复杂拓扑结构，并允许纯化精准定义的细胞类群。流式细胞术和蛋白质基因组数据的系统整合使得能够在单细胞水平上精准鉴定细胞的功能。他们的研究作为一种可访问的资源，为数据驱动的细胞术时代铺平了道路。

据介绍，单细胞基因组学技术改变了人们对复杂细胞系统的理解。然而，过高的成本以及缺乏对新鉴定细胞类型的纯化策略，阻碍了科研人员对这些新鉴定细胞进行功能表征和大规模分析。

附：英文原文

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

Author: Triana, Sergio, Vonficht, Dominik, Jopp-Saile, Lea, Raffel, Simon, Lutz, Raphael, Leonce, Daniel, Antes, Magdalena, Hernndez-Malmierca, Pablo, Ordoez-Rueda, Diana, Ramasz, Beta, Boch, Tobias, Jann, Johann-Christoph, Nowak, Daniel, Hofmann, Wolf-Karsten, Mller-Tidow, Carsten, Hbschmann, Daniel, Alexandrov, Theodore, Benes, Vladimir, Trumpp, Andreas, Paulsen, Malte, Velten, Lars, Haas, Simon

Issue&Volume: 2021-11-22

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. 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.

DOI: 10.1038/s41590-021-01059-0

Source: https://www.nature.com/articles/s41590-021-01059-0