泛癌细胞类型特异性基因共表达模式

doi:10.6040/j.issn.1671-7554.0.2024.1401

摘要/Abstract

摘要： 目的基于单细胞转录组学数据,探究多种癌症组织中不同细胞类型的基因共表达规律。方法依托大规模公共单细胞转录组学数据,运用CS-CORE方法为6种常见的细胞类型在5种不同的癌症中分别构建了细胞类型特异性的基因共表达图谱。结果共获得30张高质量的基因共表达图谱。在所研究的细胞类型中,恶性细胞的共表达基因对数量最多,具有相对复杂的基因调控机制;跨癌症类型的分层聚类结果显示转录因子的调控广度在同一细胞类型中倾向于保守;此外,巨噬细胞具有最多的差异共表达基因对,巨噬细胞的基因调控网络可能易受肿瘤微环境的影响。结论本研究系统构建了癌症组织中细胞类型特异性的基因共表达图谱,并在泛癌视角下揭示了基因共表达的若干规律。

关键词: 细胞类型特异性, 基因共表达, 癌症, 单细胞转录组, 泛癌

Abstract: Objective To investigate the gene co-expression patterns across diverse cell types within multiple cancer tissues using single-cell omics data. Methods Utilizing large-scale public single-cell transcriptomics data and the CS-CORE method, cell type-specific gene co-expression profiles were generated for six common cell types across five distinct cancers. Results A total of 30 high-quality gene co-expression maps were obtained. Among the analyzed cell types, malignant cells exhibited the highest number of co-expressed gene pairs, suggesting a relatively complex gene regulatory mechanism. Hierarchical clustering across cancer types revealed that the regulatory breadth of transcription factors tended to be conserved within the same cell type. Additionally, macrophages displayed the most differentially co-expressed gene pairs, suggesting that the gene regulatory network of macrophages might be susceptible to the influence of the tumor microenvironment. Conclusion This study systematically constructs a cell type-specific gene co-expression map in cancer tissues, uncovering several gene co-expression patterns from a pan-cancer perspective.

Key words: Cell type specificity, Gene co-expression, Cancer, Single-cell transcriptome, Pan-cancer

中图分类号:

R730.2

李晶,鞠苇杭,刘珂. 泛癌细胞类型特异性基因共表达模式[J]. 山东大学学报 (医学版), 2025, 63(9): 31-39.

LI Jing, JU Weihang, LIU Ke. Pan-cancer cell type-specific gene-gene co-expression pattern[J]. Journal of Shandong University (Health Sciences), 2025, 63(9): 31-39.

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