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具有空间分辨率的癌症代谢解码技术。

Technologies for Decoding Cancer Metabolism with Spatial Resolution.

作者信息

Chen Walter W, Pacold Michael E, Sabatini David M, Kanarek Naama

机构信息

Division of Neonatal-Perinatal Medicine, Department of Pediatrics, Children's Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA.

Department of Radiation Oncology and Perlmutter Cancer Center, NYU Langone Health, New York, New York 10016, USA.

出版信息

Cold Spring Harb Perspect Med. 2025 Jul 1;15(7):a041553. doi: 10.1101/cshperspect.a041553.

Abstract

It is increasingly appreciated that cancer cells adapt their metabolic pathways to support rapid growth and proliferation as well as survival, often even under the poor nutrient conditions that characterize some tumors. Cancer cells can also rewire their metabolism to circumvent chemotherapeutics that inhibit core metabolic pathways, such as nucleotide synthesis. A critical approach to the study of cancer metabolism is metabolite profiling (metabolomics), the set of technologies, usually based on mass spectrometry, that allow for the detection and quantification of metabolites in cancer cells and their environments. Metabolomics is a burgeoning field, driven by technological innovations in mass spectrometers, as well as novel approaches to isolate cells, subcellular compartments, and rare fluids, such as the interstitial fluid of tumors. Here, we discuss three emerging metabolomic technologies: spatial metabolomics, single-cell metabolomics, and organellar metabolomics. The use of these technologies along with more established profiling methods, like single-cell transcriptomics and proteomics, is likely to underlie new discoveries and questions in cancer research.

摘要

人们越来越认识到,癌细胞会调整其代谢途径以支持快速生长、增殖以及生存,甚至在一些肿瘤所特有的营养条件较差的情况下也是如此。癌细胞还可以重新连接其代谢,以规避抑制核心代谢途径(如核苷酸合成)的化疗药物。癌症代谢研究的一个关键方法是代谢物谱分析(代谢组学),这是一组通常基于质谱的技术,可用于检测和定量癌细胞及其环境中的代谢物。代谢组学是一个蓬勃发展的领域,受到质谱仪技术创新以及分离细胞、亚细胞区室和罕见液体(如肿瘤间质液)的新方法的推动。在这里,我们讨论三种新兴的代谢组学技术:空间代谢组学、单细胞代谢组学和细胞器代谢组学。将这些技术与更成熟的分析方法(如单细胞转录组学和蛋白质组学)结合使用,可能会成为癌症研究中新发现和新问题的基础。

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Technologies for Decoding Cancer Metabolism with Spatial Resolution.具有空间分辨率的癌症代谢解码技术。
Cold Spring Harb Perspect Med. 2025 Jul 1;15(7):a041553. doi: 10.1101/cshperspect.a041553.

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