Table_6_CD Maps—Dynamic Profiling of CD1–CD100 Surface Expression on Human Leukocyte and Lymphocyte Subsets.xlsx
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https://figshare.com/articles/dataset/Table_6_CD_Maps_Dynamic_Profiling_of_CD1_CD100_Surface_Expression_on_Human_Leukocyte_and_Lymphocyte_Subsets_xlsx/10029365
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CD molecules are surface molecules expressed on cells of the immune system that play key roles in immune cell-cell communication and sensing the microenvironment. These molecules are essential markers for the identification and isolation of leukocytes and lymphocyte subsets. Here, we present the results of the first phase of the CD Maps study, mapping the expression of CD1–CD100 (n = 110) on 47 immune cell subsets from blood, thymus, and tonsil using an eight-color standardized EuroFlow approach and quantification of expression. The resulting dataset included median antibody binding capacities (ABCs) and percentage of positivity for all markers on all subsets and was developed into an interactive CD Maps web resource. Using the resource, we examined differentially expressed proteins between granulocyte, monocyte, and dendritic cell subsets, and profiled dynamic expression of markers during thymocyte differentiation, T-cell maturation, and between functionally distinct B-cell subset clusters. The CD Maps resource will serve as a benchmark of antibody reactivities ensuring improved reproducibility of flow cytometry-based research. Moreover, it will provide a full picture of the surfaceome of human immune cells and serves as a useful platform to increase our understanding of leukocyte biology, as well as to facilitate the identification of new biomarkers and therapeutic targets of immunological and hematological diseases.
CD分子(CD molecules)是免疫细胞表面表达的一类分子,在免疫细胞间通讯及感知微环境过程中发挥关键作用。此类分子是识别与分离白细胞及淋巴细胞亚群的核心标志物。本研究首次报道了CD Maps(CD Maps)研究第一阶段的成果:采用八色标准化EuroFlow流式检测方案,对血液、胸腺及扁桃体来源的47种免疫细胞亚群中CD1至CD100(共计110个靶点)的表达情况进行了图谱绘制,并完成了表达量定量分析。所得数据集涵盖了所有标记物在各细胞亚群中的抗体结合能力中位数(antibody binding capacities, ABCs)与阳性率,并被构建为交互式CD Maps在线资源平台。依托该平台,本研究分析了粒细胞、单核细胞及树突状细胞亚群间的差异表达蛋白,解析了胸腺细胞分化、T细胞成熟过程中标记物的动态表达谱,同时刻画了功能特性各异的B细胞亚群簇之间的标记物表达差异。CD Maps资源将作为抗体反应性的基准参照,助力提升基于流式细胞术的研究的可重复性。此外,该资源可完整呈现人类免疫细胞的细胞表面组(surfaceome)全貌,为加深我们对白细胞生物学的理解提供有力支撑,同时也将助力鉴定免疫性与血液系统疾病的新型生物标志物及治疗靶点。
创建时间:
2019-10-23



