@article{89de73d88db843fb9fa86773e54b7a54,
title = "Single Particle Automated Raman Trapping Analysis of Breast Cancer Cell-Derived Extracellular Vesicles as Cancer Biomarkers",
abstract = "Extracellular vesicles (EVs) secreted by cancer cells provide an important insight into cancer biology and could be leveraged to enhance diagnostics and disease monitoring. This paper details a high-throughput label-free extracellular vesicle analysis approach to study fundamental EV biology, toward diagnosis and monitoring of cancer in a minimally invasive manner and with the elimination of interpreter bias. We present the next generation of our single particle automated Raman trapping analysis-SPARTA-system through the development of a dedicated standalone device optimized for single particle analysis of EVs. Our visualization approach, dubbed dimensional reduction analysis (DRA), presents a convenient and comprehensive method of comparing multiple EV spectra. We demonstrate that the dedicated SPARTA system can differentiate between cancer and noncancer EVs with a high degree of sensitivity and specificity (>95% for both). We further show that the predictive ability of our approach is consistent across multiple EV isolations from the same cell types. Detailed modeling reveals accurate classification between EVs derived from various closely related breast cancer subtypes, further supporting the utility of our SPARTA-based approach for detailed EV profiling.",
keywords = "cancer, confocal, diagnostics, exosomes, extracellular vesicles, spectroscopic, spectroscopy",
author = "Jelle Penders and Anika Nagelkerke and Cunnane, {Eoghan M.} and Pedersen, {Simon V.} and Pence, {Isaac J.} and Coombes, {R. Charles} and Stevens, {Molly M.}",
note = "Funding Information: J.P., R.C.C., and M.M.S. acknowledge support from the Imperial Confidence in Concept funding through the NIHR Imperial BRC and the Wellcome Trust Institutional Strategic Support Fund. J.P. and M.M.S. acknowledge support from the Rosetrees Trust. M.M.S. acknowledges support from the Royal Academy of Engineering under the Chairs in Emerging Technologies scheme (CIET2021\94). A.N. and M.M.S. acknowledge support from NIHR Imperial Biomedical Research Centre and the Institute of Cancer Research, London, through the joint Cancer Research Centre of Excellence (CRCE). E.M.C. and M.M.S. acknowledge support from the UK Regenerative Medicine Platform grant “Acellular/Smart Materials─3D Architecture” (MR/R015651/1) and the Imperial College London Biotechnology and Biological Sciences Research Council Flexible Talent Mobility Account (BB/S507994/1). S.V.P. gratefully acknowledges Independent Research Fund Denmark (IRFD) for funding under the DFF-International Postdoc scheme (0170-00011B). I.J.P. acknowledges support from the Whitaker International Program, Institute of International Education, United States of America. The authors thank Dr. Ulrike Kauscher, Dr. Valeria Nele, and Dr. Lucia Massi for cryo-TEM imaging as well as Dr. Pasi Purhonen from the cryoEM node of RSEM at The School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm. The authors also acknowledge the support of the Harvey Flower Micro Characterization Suite at the Department of Materials, Imperial College London. Publisher Copyright: {\textcopyright} ",
year = "2021",
month = nov,
day = "23",
doi = "10.1021/acsnano.1c07075",
language = "English (US)",
volume = "15",
pages = "18192--18205",
journal = "ACS Nano",
issn = "1936-0851",
publisher = "American Chemical Society",
number = "11",
}