Metabolic reprogramming landscape of pan-cancer by single-cell transcriptome data integration  

单细胞转录组数据整合分析构建泛癌代谢重编程图谱

作　　者：Yunfei Shang Jingyao Zeng Jialin Mai Jingfa Xiao 尚云飞;曾瀞瑶;麦嘉琳;肖景发

机构地区：[1]National Genomics Data Center,Beijing Institute of Genomics,Chinese Academy of Sciences and China National Center for Bioinformation,Beijing 100101,China [2]CAS Key Laboratory of Genome Sciences and Information,Beijing Institute of Genomics,Chinese Academy of Sciences and China National Center for Bioinformation,Beijing 100101,China [3]University of Chinese Academy of Sciences,Beijing 100049,China

出　　处：《Science Bulletin》2025年第6期852-855,共4页科学通报(英文版)

基　　金：supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(XDB38030400);the National Natural Science Foundation of China(32170669 and 32300542);the Youth Innovation Promotion Association of the Chinese Academy of Sciences(2022098).

摘　　要：Tumorigenesis is usually accompanied by changes in metabolic patterns,known as metabolic reprogramming[1].To meet the overall metabolic needs for tumor growth and development,tumors regulate the metabolic processes of different cell types by exploiting various environmental and nutritional conditions[2].The metabolic reprogramming of various human tumors is largely conservative[3].However,substantial heterogeneity complicates the identification of their internal causes and mechanisms.Transcriptomics can comprehensively measure tumor metabolism indirectly[4-6].Metabolic reprogramming studies of single cells in various cancer types based on scRNA-seq can reveal their internal networks with other cancer determinants.

关 键 词：tumorigenesis metabolic reprogramming single cell transcriptome pan cancer TRANSCRIPTOMICS single cell RNA seq 

分 类 号：R730.2[医药卫生—肿瘤]