{"title":"Quantifying the Shape and Stiffness of Single Extracellular Vesicles in Aqueous Solution via Membrane Diffusivity Measurements.","authors":"Yihan Wang, Huihui Gao, Chu Han, Liu Liu, Jingwen Deng, Hangwei Fan, Zirui Zhou, Mengyao Zhang, Xiaohui Zhang, Feiyang Cheng, Xiang Zhan, Hao Ge, Yan-Ling Liu, Xinwei Zhang, Wei-Hua Huang, Wei Yan, Jing Zhang, Wei Zhang, Limin Xiang","doi":"10.1021/cbmi.5c00011","DOIUrl":null,"url":null,"abstract":"<p><p>Quantifying the shape and stiffness of extracellular vesicles (EVs) is essential for understanding their biophysical properties and roles in intercellular communication. However, achieving single-particle resolution under physiological conditions remains a significant challenge. Here, we introduce an approach that integrates single-molecule diffusivity mapping (SM<i>d</i>M) with diffusion models for spherical and discoidal shapes to quantify the geometric and mechanical properties of individual liposomes and EVs in aqueous solution. Our findings identify charged lipids and cholesterol as critical factors that enhance liposome stiffness, driving their shapes closer to spheres. Applying this method to EVs reveals that those derived from tumor cells exhibit lower stiffness compared to EVs from normal cells, consistent with the biomechanical characteristics of their parent cells. This rapid, high-throughput strategy for characterizing the shape and stiffness of single EVs in aqueous solution offers promising applications in cancer biomarker discovery and the development of EV-based therapeutics.</p>","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"3 9","pages":"605-614"},"PeriodicalIF":5.7000,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12458017/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical & Biomedical Imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1021/cbmi.5c00011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/9/22 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Quantifying the shape and stiffness of extracellular vesicles (EVs) is essential for understanding their biophysical properties and roles in intercellular communication. However, achieving single-particle resolution under physiological conditions remains a significant challenge. Here, we introduce an approach that integrates single-molecule diffusivity mapping (SMdM) with diffusion models for spherical and discoidal shapes to quantify the geometric and mechanical properties of individual liposomes and EVs in aqueous solution. Our findings identify charged lipids and cholesterol as critical factors that enhance liposome stiffness, driving their shapes closer to spheres. Applying this method to EVs reveals that those derived from tumor cells exhibit lower stiffness compared to EVs from normal cells, consistent with the biomechanical characteristics of their parent cells. This rapid, high-throughput strategy for characterizing the shape and stiffness of single EVs in aqueous solution offers promising applications in cancer biomarker discovery and the development of EV-based therapeutics.
期刊介绍:
Chemical & Biomedical Imaging is a peer-reviewed open access journal devoted to the publication of cutting-edge research papers on all aspects of chemical and biomedical imaging. This interdisciplinary field sits at the intersection of chemistry physics biology materials engineering and medicine. The journal aims to bring together researchers from across these disciplines to address cutting-edge challenges of fundamental research and applications.Topics of particular interest include but are not limited to:Imaging of processes and reactionsImaging of nanoscale microscale and mesoscale materialsImaging of biological interactions and interfacesSingle-molecule and cellular imagingWhole-organ and whole-body imagingMolecular imaging probes and contrast agentsBioluminescence chemiluminescence and electrochemiluminescence imagingNanophotonics and imagingChemical tools for new imaging modalitiesChemical and imaging techniques in diagnosis and therapyImaging-guided drug deliveryAI and machine learning assisted imaging