Xu Zhang, Peng An, Zhengyang Zhang, Yanling Hao, Xiaoxian Guo, Yinhua Zhu, Zhenglong Gu, Yongting Luo, Junjie Luo
{"title":"Single-cell Omics Assessment of Mitochondrial Function: Current Status and Future Perspectives.","authors":"Xu Zhang, Peng An, Zhengyang Zhang, Yanling Hao, Xiaoxian Guo, Yinhua Zhu, Zhenglong Gu, Yongting Luo, Junjie Luo","doi":"10.1093/gpbjnl/qzaf081","DOIUrl":null,"url":null,"abstract":"<p><p>In recent years, single-cell omics technologies have seen significant advancements, offering new insights into the study of mitochondria. These technologies are particularly suitable for investigating mitochondria due to their capacity to address intracellular and intercellular heterogeneity. In this review, we categorize the mitochondrial dysfunction and variability identified in both pathological and physiological contexts through single-cell omics assessments. We examine the cutting-edge single-cell omics technologies and track the evolution of studies on mitochondria, highlighting the transition from low-throughput to high-throughput capabilities and from single data types to the integration of multiple genomic and phenomic profiles. Furthermore, we emphasize the applications of single-cell mitochondrial assessment methods in exploring mechanisms, disease screening and prevention, and their potential impacts on lineage tracing, drug discovery, and genetic counseling. Insights gained from single-cell technologies may lead to the development of novel therapeutic strategies, offering promising avenues for addressing diseases associated with mitochondrial dysfunction. Lastly, we identify the limitations of current methodologies and propose areas of focus for future research.</p>","PeriodicalId":94020,"journal":{"name":"Genomics, proteomics & bioinformatics","volume":" ","pages":""},"PeriodicalIF":7.9000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genomics, proteomics & bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/gpbjnl/qzaf081","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In recent years, single-cell omics technologies have seen significant advancements, offering new insights into the study of mitochondria. These technologies are particularly suitable for investigating mitochondria due to their capacity to address intracellular and intercellular heterogeneity. In this review, we categorize the mitochondrial dysfunction and variability identified in both pathological and physiological contexts through single-cell omics assessments. We examine the cutting-edge single-cell omics technologies and track the evolution of studies on mitochondria, highlighting the transition from low-throughput to high-throughput capabilities and from single data types to the integration of multiple genomic and phenomic profiles. Furthermore, we emphasize the applications of single-cell mitochondrial assessment methods in exploring mechanisms, disease screening and prevention, and their potential impacts on lineage tracing, drug discovery, and genetic counseling. Insights gained from single-cell technologies may lead to the development of novel therapeutic strategies, offering promising avenues for addressing diseases associated with mitochondrial dysfunction. Lastly, we identify the limitations of current methodologies and propose areas of focus for future research.