基于单细胞转录组测序数据分析胃癌调节性T细胞特征

doi:10.6040/j.issn.1671-7554.0.2022.0121

摘要/Abstract

摘要： 目的探究胃癌及胃正常组织的细胞组成,分析调节性T细胞在胃癌及胃正常组织中的差异。方法下载胃癌单细胞转录组测序数据并进行质控、降维聚类及细胞注释,提取调节性T细胞进行差异基因、轨迹、GSVA及细胞相互作用分析,明确正常组织和肿瘤组织来源的调节性T细胞特征。结果在细胞组成方面,不同患者、不同样本类型之间存在较大异质性。与正常组织相比,调节性T细胞在肿瘤组织占比更高,与细胞死亡、细胞周期等通路相关。细胞相互作用分析显示,肿瘤组织中调节性T细胞与其他细胞相互作用频率更低、强度更大,互作模式具有显著变化。结论调节性T细胞主要在胃癌肿瘤微环境中存在。胃癌及胃正常组织中调节性T细胞在数量、功能等方面存在显著差异。

关键词: 胃癌, 单细胞RNA测序, 细胞组成, 调节性T细胞, 细胞互作

Abstract: Objective To explore the cell composition of gastric cancer and normal gastric tissues and to analyze the difference in regulatory T cells between gastric cancer and normal gastric tissues. Methods The downloaded single-cell RNA sequencing data were subjected to quality control, dimensional-reduction clustering and cell annotation. Regulatory T cells were extracted for differential gene, developmental trajectories, GSVA and cell interaction analysis to observe the differences between regulatory T cells from normal tissues and cancer tissues. Results In terms of cell composition, there was great heterogeneity in different patients and different sample types. Compared with normal tissues, cancer tissues had higher proportion of regulatory T cells which were related to cell death, cell cycle and other pathways. Cell interaction analysis showed that regulatory T cells in cancer tissues interacted with other cells with lower frequency and greater intensity, and the interaction patterns changed significantly. Conclusion Regulatory T cells mainly exist in the microenvironment of gastric cancer. There are significant differences in the number and function of regulatory T cells between gastric cancer and normal tissues.

Key words: Gastric cancer, Single cell RNA sequencing, Cell composition, Regulatory T cells, Intercellular interaction

中图分类号:

R735.2

高惠茹,杜甜甜,王允山,杜鲁涛,王传新. 基于单细胞转录组测序数据分析胃癌调节性T细胞特征[J]. 山东大学学报 (医学版), 2022, 60(5): 43-49.

GAO Huiru, DU Tiantian, WANG Yunshan, DU Lutao, WANG Chuanxin. Characterization of regulatory T cells in gastric cancer based on single-cell RNA sequencing data[J]. Journal of Shandong University (Health Sciences), 2022, 60(5): 43-49.

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