Abstract

Highlights

  • Extracellular vesicle (EV) multiplexing involves chemical, physical spatial, biological, or nanoparticle-based strategies.

  • Multiplexing in EV biomarker development includes high-throughput screening as well as point-of-care testing platforms which to date have been applied mainly to EV surface proteins or internal cargo miRNAs.

  • Multiplexed measurements at single-EV resolution are likely to revolutionize the applicability of EV analytes as biomarkers in complex and heterogeneous diseases.

Extracellular vesicles (EVs) are cell-derived membranous particles that play a crucial role in molecular trafficking, intercellular transport and the egress of unwanted proteins. They have been implicated in many diseases including cancer and neurodegeneration. EVs are detected in all bodily fluids, and their protein and nucleic acid content offers a means of assessing the status of the cells from which they originated. As such, they provide opportunities in biomarker discovery for diagnosis, prognosis or the stratification of diseases as well as an objective monitoring of therapies. The simultaneous assaying of multiple EV-derived markers will be required for an impactful practical application, and multiplexing platforms have evolved with the potential to achieve this. Herein, we provide a comprehensive overview of the currently available multiplexing platforms for EV analysis, with a primary focus on miniaturized and integrated devices that offer potential step changes in analytical power, throughput and consistency.

Details

Title
Multiplexed Profiling of Extracellular Vesicles for Biomarker Development
Author
Cheng, Jiang 1 ; Fu, Ying 2 ; Liu, Guozhen 3 ; Bowen, Shu 4 ; Davis, Jason 2 ; Tofaris, George K 5 

 University of Oxford, Nuffield Department of Clinical Neurosciences, New Biochemistry Building, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948); University of Oxford, Department of Chemistry, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948); University of Oxford, Kavli Institute for Nanoscience Discovery, New Biochemistry Building, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948) 
 University of Oxford, Department of Chemistry, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948) 
 The Chinese University of Hong Kong, School of Life and Health Sciences, Shenzhen, People’s Republic of China (GRID:grid.10784.3a) (ISNI:0000 0004 1937 0482) 
 Southern Medical University, Dermatology Hospital, Guangzhou, People’s Republic of China (GRID:grid.284723.8) (ISNI:0000 0000 8877 7471) 
 University of Oxford, Nuffield Department of Clinical Neurosciences, New Biochemistry Building, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948); University of Oxford, Kavli Institute for Nanoscience Discovery, New Biochemistry Building, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948) 
Publication year
2022
Publication date
Dec 2022
Publisher
Springer Nature B.V.
ISSN
23116706
e-ISSN
21505551
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2605423522
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.