Proteomic analysis of mitochondria: biological and clinical progresses in cancer
Proteomic analysis of mitochondria: biological and clinical progresses in cancer
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线粒体的蛋白质组学分析：癌症的生物学和临床进展
DOI：
10.1080/14789450.2017.1374180
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发表时间：
2017
影响因子：
3.4
通讯作者：
He Qing Yu
中科院分区：
文献类型：
--
作者：
Wang Yang;Zhang Jing;Li Bin;He Qing Yu
摘要引言：线粒体在调节真核细胞的多种生物学过程和信号通路中起着重要作用，线粒体功能障碍可能导致包括癌症在内的多种严重疾病。随着线粒体蛋白质鉴定方法的不断完善，线粒体蛋白质组学研究取得了很大的成就。特别是，这种方法已被广泛用于比较恶性肿瘤不同阶段的肿瘤细胞。因此，迫切需要鉴定和表征线粒体蛋白在癌症进展中的功能，并确定所涉及的机制。涵盖的领域：本文综述了线粒体蛋白质组学在肿瘤研究中的最新进展，比较线粒体蛋白质组学在细胞凋亡、坏死性凋亡、自噬和转移等生物学过程中的应用，以及肿瘤的临床研究进展。使用PubMed和Google Scholar数据库发现蛋白质组学相关报告。专家评论：理解翻译后修饰和翻译后加工在蛋白质功能的综合表征中是重要的。应用比较线粒体蛋白质组学研究临床样品和癌细胞将有助于我们理解线粒体蛋白在癌症发展中的分子相互作用。这种方法将挖掘更多用于诊断和预后的生物标志物，并改善癌症患者的治疗结果。
ABSTRACT Introduction: Mitochondria play important roles in regulating multiple biological processes and signalling pathways in eukaryotic cells, and mitochondrial dysfunction may result in a wide range of serious diseases, including cancer. With improvements in the identification of mitochondrial proteins, mitochondrial proteomics has made great achievements. In particular, this approach has been widely used to compare tumour cells at different stages of malignancy. Therefore, there is an urgent need to identify and characterize the function of mitochondrial proteins in cancer progression and to determine the involved mechanisms. Areas covered: We provide an overview of recent progress related to mitochondrial proteomics in cancer and the application of comparative mitochondrial proteomics in various biological processes, including apoptosis, necroptosis, autophagy and metastasis, as well as clinical progress in cancer. Proteomics-related reports were found using PubMed and Google Scholar databases. Expert commentary: Understanding both post-translational modification and post-translational processing is important in the comprehensive characterization of protein function. The application of comparative mitochondrial proteomics to investigate clinical samples and cancer cells will contribute to our understanding of the molecular interplay of mitochondrial proteins in the development of cancer. This approach will mine more biomarkers for diagnosis and prognosis and improve therapeutic outcomes among cancer patients.