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单细胞代谢的发展及其在研究癌症新兴特性中的作用。

The Development of Single-Cell Metabolism and Its Role in Studying Cancer Emergent Properties.

作者信息

Wei Dingju, Xu Meng, Wang Zhihua, Tong Jingjing

机构信息

School of Life Science, Central China Normal University, Wuhan, China.

Shenzhen Key Laboratory of Cardiovascular Disease, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China.

出版信息

Front Oncol. 2022 Jan 10;11:814085. doi: 10.3389/fonc.2021.814085. eCollection 2021.

Abstract

Metabolic reprogramming is one of the hallmarks of malignant tumors, which provides energy and material basis for tumor rapid proliferation, immune escape, as well as extensive invasion and metastasis. Blocking the energy and material supply of tumor cells is one of the strategies to treat tumor, however tumor cell metabolic heterogeneity prevents metabolic-based anti-cancer treatment. Therefore, searching for the key metabolic factors that regulate cell cancerous change and tumor recurrence has become a major challenge. Emerging technology--single-cell metabolomics is different from the traditional metabolomics that obtains average information of a group of cells. Single-cell metabolomics identifies the metabolites of single cells in different states by mass spectrometry, and captures the molecular biological information of the energy and substances synthesized in single cells, which provides more detailed information for tumor treatment metabolic target screening. This review will combine the current research status of tumor cell metabolism with the advantages of single-cell metabolomics technology, and explore the role of single-cell sequencing technology in searching key factors regulating tumor metabolism. The addition of single-cell technology will accelerate the development of metabolism-based anti-cancer strategies, which may greatly improve the prognostic survival rate of cancer patients.

摘要

代谢重编程是恶性肿瘤的标志之一,它为肿瘤的快速增殖、免疫逃逸以及广泛侵袭和转移提供能量和物质基础。阻断肿瘤细胞的能量和物质供应是治疗肿瘤的策略之一,然而肿瘤细胞代谢异质性阻碍了基于代谢的抗癌治疗。因此,寻找调控细胞癌变和肿瘤复发的关键代谢因子已成为一项重大挑战。新兴技术——单细胞代谢组学不同于传统代谢组学,传统代谢组学获取的是一组细胞的平均信息。单细胞代谢组学通过质谱鉴定不同状态下单细胞的代谢物,并捕捉单细胞中合成的能量和物质的分子生物学信息,这为肿瘤治疗代谢靶点筛选提供了更详细的信息。本综述将结合肿瘤细胞代谢的当前研究现状与单细胞代谢组学技术的优势,探讨单细胞测序技术在寻找调控肿瘤代谢关键因子中的作用。单细胞技术的加入将加速基于代谢的抗癌策略的发展,这可能会大大提高癌症患者的预后生存率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dce/8784738/ccfe16e34134/fonc-11-814085-g001.jpg

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