{"title":"Whole-genome methylation profiling of extracellular vesicle DNA in gastric cancer identifies intercellular communication features","authors":"Bingqian Lin, Zhenna Jiao, Shouquan Dong, Weikai Yan, Jinting Jiang, Yanfang Du, Xiaocheng Weng, Hongling Wang, Zhiyuan Hu, Yibin Liu, Xiang Zhou","doi":"10.1038/s41467-025-63435-w","DOIUrl":null,"url":null,"abstract":"<p>Extracellular vesicles (EVs) are promising biomarkers for cancer diagnosis and prognosis due to their ability to carry specific biomolecular cargo, including DNA. However, the clinical utility of DNA methylation-based liquid biopsies using EV-DNA remains underexplored. The low quantity and relatively long length of EV-DNA complicate whole-genome methylation profiling. To address this, we develop Tn5-assisted Enzymatic Methyl-sequencing with Post-conversion Tailing (TEMPT), a bisulfite-free whole-genome profiling method for EV-DNA. TEMPT employs single-adapter Tn5 tagmentation, enzymatic conversion of unmodified cytosines, and post-conversion tailing to generate high-depth whole-genome EV-DNA methylomes. We apply TEMPT to EV-DNA from 58 gastric cancer and polyp samples, generating methylomes from sub-nanogram inputs and identifying differentially methylated regions (DMRs) that distinguish cancer from controls. We identify potential cancer biomarkers through DMR-associated genes, highlighting the roles of EVs in cellular communication. Our findings suggest that immune cells may serve as an alternative source of EV-DNA. This approach holds significant promise for advancing EV-DNA research and its applications in early disease diagnosis.</p>","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"7 1","pages":""},"PeriodicalIF":15.7000,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Communications","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41467-025-63435-w","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Extracellular vesicles (EVs) are promising biomarkers for cancer diagnosis and prognosis due to their ability to carry specific biomolecular cargo, including DNA. However, the clinical utility of DNA methylation-based liquid biopsies using EV-DNA remains underexplored. The low quantity and relatively long length of EV-DNA complicate whole-genome methylation profiling. To address this, we develop Tn5-assisted Enzymatic Methyl-sequencing with Post-conversion Tailing (TEMPT), a bisulfite-free whole-genome profiling method for EV-DNA. TEMPT employs single-adapter Tn5 tagmentation, enzymatic conversion of unmodified cytosines, and post-conversion tailing to generate high-depth whole-genome EV-DNA methylomes. We apply TEMPT to EV-DNA from 58 gastric cancer and polyp samples, generating methylomes from sub-nanogram inputs and identifying differentially methylated regions (DMRs) that distinguish cancer from controls. We identify potential cancer biomarkers through DMR-associated genes, highlighting the roles of EVs in cellular communication. Our findings suggest that immune cells may serve as an alternative source of EV-DNA. This approach holds significant promise for advancing EV-DNA research and its applications in early disease diagnosis.
期刊介绍:
Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.