Genomics and Immunoregulation, Life and Medical Sciences Institute (LIMES), University of Bonn, Bonn, Germany.
Platform for Single Cell Genomics and Epigenomics, German Center for Neurodegenerative Diseases and University of Bonn, Bonn, Germany.
Front Immunol. 2019 Oct 4;10:2287. doi: 10.3389/fimmu.2019.02287. eCollection 2019.
The myeloid cell system shows very high plasticity, which is crucial to quickly adapt to changes during an immune response. From the beginning, this high plasticity has made cell type classification within the myeloid cell system difficult. Not surprising, naming schemes have been frequently changed. Recent advancements in multidimensional technologies, including mass cytometry and single-cell RNA sequencing, are challenging our current understanding of cell types, cell subsets, and functional states of cells. Despite the power of these technologies to create new reference maps for the myeloid cell system, it is essential to put these new results into context with previous knowledge that was established over decades. Here we report on earlier attempts of cell type classification in the myeloid cell system, discuss current approaches and their pros and cons, and propose future strategies for cell type classification within the myeloid cell system that can be easily extended to other cell types.
髓系细胞系统表现出很高的可塑性,这对于在免疫反应过程中快速适应变化至关重要。从一开始,这种高可塑性就使得髓系细胞系统内的细胞类型分类变得困难。毫不奇怪,命名方案经常发生变化。最近多维技术的进步,包括质谱流式细胞术和单细胞 RNA 测序,正在挑战我们对细胞类型、细胞亚群和细胞功能状态的现有认识。尽管这些技术具有为髓系细胞系统创建新的参考图谱的强大功能,但将这些新结果与几十年来建立的先前知识联系起来是至关重要的。在这里,我们报告了髓系细胞系统中细胞类型分类的早期尝试,讨论了当前的方法及其优缺点,并提出了髓系细胞系统内细胞类型分类的未来策略,该策略可以很容易地扩展到其他细胞类型。