Li Fei, Xiang Run, Liu Yue, Hu Guoliang, Jiang Quanbo, Jia Tao
Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu 610041, China.
Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu 610041, China; Department of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
Cell Signal. 2024 May;117:111123. doi: 10.1016/j.cellsig.2024.111123. Epub 2024 Feb 27.
Mitochondria, the cellular powerhouses, possess their own unique genetic system, including replication, transcription, and translation. Studying these processes is crucial for comprehending mitochondrial disorders, energy production, and their related diseases. Over the past decades, various approaches have been applied in detecting and quantifying mitochondrial genome variations with also the purpose of manipulation of mitochondria or mitochondrial genome for therapeutics. Understanding the scope and limitations of above strategies is not only fundamental to the understanding of basic biology but also critical for exploring disease-related novel target(s), as well to develop innovative therapies. Here, this review provides an overview of different tools and techniques for accurate mitochondrial genome variations identification, quantification, and discuss novel strategies for the manipulation of mitochondria to develop innovative therapeutic interventions, through combining the insights gained from the study of mitochondrial genetics with ongoing single cell omics combined with advanced single molecular tools.
线粒体作为细胞的能量工厂，拥有自己独特的遗传系统，包括复制、转录和翻译。研究这些过程对于理解线粒体疾病、能量产生及其相关疾病至关重要。在过去几十年中，人们应用了各种方法来检测和量化线粒体基因组变异，同时也旨在操纵线粒体或线粒体基因组用于治疗。了解上述策略的范围和局限性不仅是理解基础生物学的基础，对于探索疾病相关的新靶点以及开发创新疗法也至关重要。在此，本综述通过结合线粒体遗传学研究获得的见解、正在进行的单细胞组学以及先进的单分子工具，概述了用于准确鉴定和量化线粒体基因组变异的不同工具和技术，并讨论了操纵线粒体以开发创新治疗干预措施的新策略。
