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Title: Characterizing the Heterogeneity of Small Extracellular Vesicle Populations in Multiple Cancer Types via an Ultrasensitive Chip.
Austin Authors: Wang, Jing;Wuethrich, Alain;Lobb, Richard J;Antaw, Fiach;Sina, Abu Ali Ibn;Lane, Rebecca E;Zhou, Quan;Zieschank, Chloe;Bell, Caroline;Bonazzi, Vanessa F;Aoude, Lauren G;Everitt, Sarah;Yeo, Belinda ;Barbour, Andrew P;Möller, Andreas;Trau, Matt
Affiliation: Tumour Microenvironment Laboratory, QIMR Berghofer Medical Research Institute, Herston, Queensland 4006, Australia
School of Cancer Medicine, La Trobe University, 145 Studley Road, Heidelberg, Victoria 3084, Australia
Austin Health
School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland 4072, Australia
The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Queensland 4102, Australia
Department of Radiation Therapy, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia
Sir Peter MacCallum Department of Oncology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria 3052, Australia
Queensland Melanoma Project, Princess Alexandra Hospital, Brisbane, Queensland 4102, Australia
Centre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, Queensland 4072, Australia
Olivia Newton-John Cancer Research Institute
Issue Date: 24-Sep-2021
Date: 2021-07-15
Publication information: ACS Sensors 2021; 6(9): 3182-3194
Abstract: Identifying 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.
DOI: 10.1021/acssensors.1c00358
ORCID: 0000-0001-6080-7998
Journal: ACS Sensors
PubMed URL: 34264628
Type: Journal Article
Subjects: microfluidic device
small EV heterogeneity
small extracellular vesicle
surface-enhanced Raman spectroscopy
Appears in Collections:Journal articles

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