代谢组学
肿瘤微环境
转录组
计算生物学
生物
脂类学
癌症
串扰
癌细胞
代谢途径
细胞
肿瘤进展
癌症研究
生物信息学
新陈代谢
基因
生物化学
遗传学
基因表达
物理
光学
作者
Chenglong Sun,Anqiang Wang,Yanhe Zhou,Panpan Chen,Xiangyi Wang,Jianpeng Huang,Jiamin Gao,Xiao Wang,Liebo Shu,Jiawei Lu,Wentao Dai,Zhaode Bu,Jiafu Ji,Jiuming He
标识
DOI:10.1038/s41467-023-38360-5
摘要
Abstract Mapping tumor metabolic remodeling and their spatial crosstalk with surrounding non-tumor cells can fundamentally improve our understanding of tumor biology, facilitates the designing of advanced therapeutic strategies. Here, we present an integration of mass spectrometry imaging-based spatial metabolomics and lipidomics with microarray-based spatial transcriptomics to hierarchically visualize the intratumor metabolic heterogeneity and cell metabolic interactions in same gastric cancer sample. Tumor-associated metabolic reprogramming is imaged at metabolic-transcriptional levels, and maker metabolites, lipids, genes are connected in metabolic pathways and colocalized in the heterogeneous cancer tissues. Integrated data from spatial multi-omics approaches coherently identify cell types and distributions within the complex tumor microenvironment, and an immune cell-dominated “tumor-normal interface” region where tumor cells contact adjacent tissues are characterized with distinct transcriptional signatures and significant immunometabolic alterations. Our approach for mapping tissue molecular architecture provides highly integrated picture of intratumor heterogeneity, and transform the understanding of cancer metabolism at systemic level.
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