Colocalization of protein and microRNA markers reveals unique extracellular vesicle subpopulations for early cancer detection-Reference-Cited by-同舟云学术

Colocalization of protein and microRNA markers reveals unique extracellular vesicle subpopulations for early cancer detection

Published:2024-03 Issue:9 Volume:10 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Li Zongbo¹^ORCID,Guo Kaizhu¹^ORCID,Gao Ziting¹,Chen Junyi²^ORCID,Ye Zuyang¹^ORCID,Cao Minghui³,Wang Shizhen Emily³,Yin Yadong¹^ORCID,Zhong Wenwan¹²^ORCID

Affiliation:

1. Department of Chemistry, University of California-Riverside, Riverside, CA 92521, USA.

2. Environmental Toxicology Graduate Program, University of California-Riverside, Riverside, CA 92521, USA.

3. Department of Pathology, University of California–San Diego, La Jolla, CA 92093, USA.

Abstract

Extracellular vesicles (EVs) play important roles in cell-cell communication but are highly heterogeneous, and each vesicle has dimensions smaller than 200 nm with very limited amounts of cargos encapsulated. The technique of NanOstirBar (NOB)–EnabLed Single Particle Analysis (NOBEL-SPA) reported in the present work permits rapid inspection of single EV with high confidence by confocal fluorescence microscopy, thus enables colocalization assessment for selected protein and microRNA (miRNA) markers in the EVs produced by various cell lines, or present in clinical sera samples. EV subpopulations marked by the colocalization of unique protein and miRNA combinations were discovered to be able to detect early-stage (stage I or II) breast cancer (BC). NOBEL-SPA can be adapted to analyze other types of cargo molecules or other small submicron biological particles. Study of the sorting of specific cargos to heterogeneous vesicles under different physiological conditions can help discover distinct vesicle subpopulations valuable in clinical examination and therapeutics development and gain better understanding of their biogenesis.

Publisher

American Association for the Advancement of Science (AAAS)

Link

https://www.science.org/doi/pdf/10.1126/sciadv.adh8689

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