Characterizing the Heterogeneity of Small Extracellular Vesicle Populations in Multiple Cancer Types via an Ultrasensitive Chip.

Autor: Wang J; Centre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, Queensland 4072, Australia., Wuethrich A; Centre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, Queensland 4072, Australia., Lobb RJ; Centre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, Queensland 4072, Australia., Antaw F; Centre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, Queensland 4072, Australia., Sina AA; Centre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, Queensland 4072, Australia., Lane RE; Centre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, Queensland 4072, Australia., Zhou Q; School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland 4072, Australia., Zieschank C; School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland 4072, Australia., Bell C; School of Cancer Medicine, Olivia Newton-John Cancer Research Institute and La Trobe University, 145 Studley Road, Heidelberg, Victoria 3084, Australia., Bonazzi VF; The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Queensland 4102, Australia., Aoude LG; The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Queensland 4102, Australia., Everitt S; 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., Yeo B; School of Cancer Medicine, Olivia Newton-John Cancer Research Institute and La Trobe University, 145 Studley Road, Heidelberg, Victoria 3084, Australia.; Austin Health, Heidelberg, Victoria 3084, Australia., Barbour AP; The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Queensland 4102, Australia.; Queensland Melanoma Project, Princess Alexandra Hospital, Brisbane, Queensland 4102, Australia., Möller A; Tumour Microenvironment Laboratory, QIMR Berghofer Medical Research Institute, Herston, Queensland 4006, Australia., Trau M; Centre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, Queensland 4072, Australia.; School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland 4072, Australia.
Jazyk: angličtina
Zdroj: ACS sensors [ACS Sens] 2021 Sep 24; Vol. 6 (9), pp. 3182-3194. Date of Electronic Publication: 2021 Jul 15.
DOI: 10.1021/acssensors.1c00358
Abstrakt: 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.
Databáze: MEDLINE