Division of Rheumatology, Immunology, and Allergy, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Division of Genetics, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Program in Medical and Population Genetics, Broad Institute of Massachusetts Technical Institute and Harvard University, Cambridge, MA 02138, USA; Center for Data Sciences, Brigham and Women's Hospital, Boston, MA 02115, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA.
Division of Rheumatology, Immunology, and Allergy, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Curr Opin Immunol. 2017 Dec;49:27-36. doi: 10.1016/j.coi.2017.08.005. Epub 2017 Sep 6.
CD4+ T cells have been long known to play an important role in the pathogenesis of rheumatoid arthritis (RA), but the specific cell populations and states that drive the disease have been challenging to identify with low dimensional single cell data and bulk assays. The advent of high dimensional single cell technologies-like single cell RNA-seq or mass cytometry-has offered promise to defining key populations, but brings new methodological and statistical challenges. Recent single cell profiling studies have revealed a broad diversity of cell types among CD4+ T cells, identifying novel populations that are expanded or altered in RA. Here, we will review recent findings on CD4+ T cell heterogeneity and RA that have come from single cell profiling studies and discuss the best practices for conducting these studies.
CD4+ T 细胞在类风湿关节炎（RA）的发病机制中一直发挥着重要作用，但用低维单细胞数据和批量分析来鉴定驱动疾病的特定细胞群体和状态一直具有挑战性。高维单细胞技术（如单细胞 RNA 测序或质谱流式细胞术）的出现为确定关键群体带来了希望，但也带来了新的方法学和统计学挑战。最近的单细胞分析研究揭示了 CD4+ T 细胞中广泛的细胞类型多样性，确定了在 RA 中扩增或改变的新型群体。在这里，我们将回顾来自单细胞分析研究的 CD4+ T 细胞异质性和 RA 的最新发现，并讨论进行这些研究的最佳实践。
