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dc.contributor.authorWang, Jing-
dc.contributor.authorWuethrich, Alain-
dc.contributor.authorLobb, Richard J-
dc.contributor.authorAntaw, Fiach-
dc.contributor.authorSina, Abu Ali Ibn-
dc.contributor.authorLane, Rebecca E-
dc.contributor.authorZhou, Quan-
dc.contributor.authorZieschank, Chloe-
dc.contributor.authorBell, Caroline-
dc.contributor.authorBonazzi, Vanessa F-
dc.contributor.authorAoude, Lauren G-
dc.contributor.authorEveritt, Sarah-
dc.contributor.authorYeo, Belinda-
dc.contributor.authorBarbour, Andrew P-
dc.contributor.authorMöller, Andreas-
dc.contributor.authorTrau, Matt-
dc.identifier.citationACS Sensors 2021; 6(9): 3182-3194en
dc.description.abstractIdentifying small extracellular vesicle (sEV) subpopulations based on their different molecular signatures could potentially reveal the functional roles in physiology and pathology. However, it is a challenge to achieve this aim due to the nano-sized dimensions of sEVs, low quantities of biological cargo each sEV carries, and our incomplete knowledge of identifying features capable of separating heterogeneous sEV subpopulations. Here, a sensitive, multiplexed, and nano-mixing-enhanced sEV subpopulation characterization platform (ESCP) is proposed to precisely determine the sEV phenotypic heterogeneity and understand the role of sEV heterogeneity in cancer progression and metastasis. The ESCP utilizes spatially patterned anti-tetraspanin-functionalized micro-arrays for sEV subpopulation sorting and nanobarcode-based surface-enhanced Raman spectroscopy for multiplexed read-outs. An ESCP has been used for investigating sEV phenotypic heterogeneity in terms of canonical sEV tetraspanin molecules and cancer-associated protein biomarkers in both cancer cell line models and cancer patient samples. Our data explicitly demonstrate the selective enrichment of tetraspanins and cancer-associated protein biomarkers, in particular sEV subpopulations. Therefore, it is believed that the ESCP could enable the evaluation and broader application of sEV subpopulations as potential diagnostic disease biomarkers.en
dc.subjectmicrofluidic deviceen
dc.subjectsmall EV heterogeneityen
dc.subjectsmall extracellular vesicleen
dc.subjectsurface-enhanced Raman spectroscopyen
dc.titleCharacterizing the Heterogeneity of Small Extracellular Vesicle Populations in Multiple Cancer Types via an Ultrasensitive Chip.en
dc.typeJournal Articleen
dc.identifier.journaltitleACS Sensorsen
dc.identifier.affiliationTumour Microenvironment Laboratory, QIMR Berghofer Medical Research Institute, Herston, Queensland 4006, Australiaen
dc.identifier.affiliationSchool of Cancer Medicine, La Trobe University, 145 Studley Road, Heidelberg, Victoria 3084, Australiaen
dc.identifier.affiliationAustin Healthen
dc.identifier.affiliationSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland 4072, Australiaen
dc.identifier.affiliationThe University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Queensland 4102, Australiaen
dc.identifier.affiliationDepartment of Radiation Therapy, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australiaen
dc.identifier.affiliationSir Peter MacCallum Department of Oncology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria 3052, Australiaen
dc.identifier.affiliationQueensland Melanoma Project, Princess Alexandra Hospital, Brisbane, Queensland 4102, Australiaen
dc.identifier.affiliationCentre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, Queensland 4072, Australiaen
dc.identifier.affiliationOlivia Newton-John Cancer Research Instituteen
dc.identifier.pubmedid34264628-, Belinda
item.fulltextNo Fulltext-
item.openairetypeJournal Article-
item.openairecristype Newton-John Cancer Research Institute- Oncology- Newton-John Cancer Wellness and Research Centre-
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