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基于单细胞分辨率的癌症特征的蛋白质组学挖掘。

Proteomics mining of cancer hallmarks on a single-cell resolution.

机构信息

Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE and State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan, China.

State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University and Collaborative Innovation Center for Biotherapy, Chengdu, Sichuan, China.

出版信息

Mass Spectrom Rev. 2024 Sep-Oct;43(5):1019-1040. doi: 10.1002/mas.21842. Epub 2023 Apr 12.

DOI:10.1002/mas.21842
PMID:37051664
Abstract

Dysregulated proteome is an essential contributor in carcinogenesis. Protein fluctuations fuel the progression of malignant transformation, such as uncontrolled proliferation, metastasis, and chemo/radiotherapy resistance, which severely impair therapeutic effectiveness and cause disease recurrence and eventually mortality among cancer patients. Cellular heterogeneity is widely observed in cancer and numerous cell subtypes have been characterized that greatly influence cancer progression. Population-averaged research may not fully reveal the heterogeneity, leading to inaccurate conclusions. Thus, deep mining of the multiplex proteome at the single-cell resolution will provide new insights into cancer biology, to develop prognostic biomarkers and treatments. Considering the recent advances in single-cell proteomics, herein we review several novel technologies with particular focus on single-cell mass spectrometry analysis, and summarize their advantages and practical applications in the diagnosis and treatment for cancer. Technological development in single-cell proteomics will bring a paradigm shift in cancer detection, intervention, and therapy.

摘要

失调的蛋白质组是致癌作用的重要贡献者。蛋白质波动推动恶性转化的进展,如不受控制的增殖、转移和化疗/放疗耐药性,这严重损害了治疗效果,并导致癌症患者的疾病复发和最终死亡。癌症中广泛观察到细胞异质性,并且已经鉴定出许多细胞亚型,这些亚型极大地影响癌症的进展。平均人群研究可能无法充分揭示异质性,从而导致结论不准确。因此,在单细胞分辨率下深入挖掘多组蛋白质组将为癌症生物学提供新的见解,以开发预后生物标志物和治疗方法。鉴于单细胞蛋白质组学的最新进展,本文综述了几种新技术,特别关注单细胞质谱分析,并总结了它们在癌症诊断和治疗中的优势和实际应用。单细胞蛋白质组学的技术发展将带来癌症检测、干预和治疗的范式转变。

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