Doping Control Center, Korea Institute of Science and Technology (KIST), Seoul, 02792, Korea.
Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 03080, Korea.
Sci Data. 2024 Aug 10;11(1):871. doi: 10.1038/s41597-024-03721-2.
Although proteomics is extensively used in immune research, there is currently no publicly accessible spectral assay library for the comprehensive proteome of immune cells. This study generated spectral assay libraries for five human immune cell lines and four primary immune cells: CD4 T, CD8 T, natural killer (NK) cells, and B cells. This was achieved by utilizing data-dependent acquisition (DDA) and employing fractionated samples from over 100 µg of proteins, which was applied to acquire the highest-quality MS/MS spectral data. In addition, Data-indedendent acquisition (DIA) was used to obtain sufficient data points for analyzing proteins from 10,000 primary CD4 T, CD8 T, NK, and B cells. The immune cell spectral assay library generated included 10,544 protein groups and 127,106 peptides. The proteomic profiles of 10,000 primary human immune cells obtained from 15 healthy volunteers analyzed using DIA revealed the highest heterogeneity of B cells among other immune cell types and the similarity between CD4 T and CD8 T cells. All data and spectral library are deposited in ProteomeXchange (PXD047742).
尽管蛋白质组学在免疫研究中得到了广泛应用,但目前还没有公开的免疫细胞全蛋白质组的光谱检测文库。本研究通过利用数据依赖型采集(DDA)和对超过 100μg 蛋白质进行分馏样本,生成了五种人类免疫细胞系和四种原代免疫细胞(CD4 T、CD8 T、自然杀伤(NK)细胞和 B 细胞)的光谱检测文库,以获取最高质量的 MS/MS 光谱数据。此外,还使用 Data-indedient acquisition(DIA)获得了足够的数据点,用于分析来自 10,000 个原代 CD4 T、CD8 T、NK 和 B 细胞的蛋白质。生成的免疫细胞光谱检测文库包含 10,544 个蛋白质组和 127,106 个肽段。使用 DIA 分析来自 15 名健康志愿者的 10,000 个原代人类免疫细胞的蛋白质组学图谱揭示了 B 细胞在其他免疫细胞类型中的异质性最高,而 CD4 T 和 CD8 T 细胞之间的相似性最高。所有数据和光谱文库均已存入 ProteomeXchange(PXD047742)。