Dress Regine J, Liu Zhaoyuan, Ginhoux Florent
Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore 138648, Singapore.
Shanghai Institute of Immunology (SII), Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Mol Immunol. 2020 May 6;122:186-192. doi: 10.1016/j.molimm.2020.04.020.
Myeloid cells and their progenitors have historically been characterized based on their expression of a well-defined set of surface proteins, transcription factors and cytokines they depend on. These traditional analyses on "bulk" myeloid cell populations led to valuable early insights into the ontogeny of dendritic cells, granulocytes, monocytes and macrophages - a process called myelopoiesis. However, bulk approaches have limitations: they are unable to discern the individual stages and functions of progenitors and may be compromised by contaminating cells of non-myeloid lineages with similar or overlapping phenotypes. In recent years the emergence of high dimensional technologies to interrogate single cells at the molecular level, including single-cell mRNA sequencing and mass cytometry, has revolutionised our understanding of immune cell development and differentiation. Here, we highlight how the use of single-cell technologies has advanced our understanding of myelopoiesis and the emerging opportunities for it to continue to do so.
髓系细胞及其祖细胞在历史上一直是根据它们所表达的一组明确的表面蛋白、转录因子以及它们所依赖的细胞因子来进行表征的。这些对“整体”髓系细胞群体的传统分析为深入了解树突状细胞、粒细胞、单核细胞和巨噬细胞的个体发生——即所谓的髓系造血过程——提供了有价值的早期见解。然而,整体分析方法存在局限性:它们无法辨别祖细胞的各个阶段和功能,并且可能会受到具有相似或重叠表型的非髓系谱系污染细胞的影响。近年来,能够在分子水平上对单细胞进行检测的高维技术的出现,包括单细胞mRNA测序和质谱流式细胞术,彻底改变了我们对免疫细胞发育和分化的理解。在此,我们强调单细胞技术的应用如何推动了我们对髓系造血的理解,以及它继续这样做所带来的新机遇。