Aptamer-Assisted Traceless Isolation of PD-L1-Positive Small Extracellular Vesicles for Dissecting Their Subpopulation Signature and Function-Reference-Cited by-同舟云学术

Aptamer-Assisted Traceless Isolation of PD-L1-Positive Small Extracellular Vesicles for Dissecting Their Subpopulation Signature and Function

Published:2022-12-19 Issue: Volume: Page:
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Xu Rui¹,Yu Zi-Li¹²^ORCID,Liu Xing-Chi¹,Xie Qi-Hui¹,Wu Min¹^ORCID,Chen Gang¹²³⁴^ORCID

Affiliation:

1. The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine Ministry of Education, School and Hospital of Stomatology, Wuhan University, Wuhan 430079, China

2. Department of Oral and Maxillofacial Surgery, School and Hospital of Stomatology, Wuhan University, Wuhan 430079, China

3. TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan 430071, China

4. Frontier Science Center for Immunology and Metabolism, Wuhan University, Wuhan 430071, China

Funder

Ministry of Science and Technology of the People's Republic of China

Wuhan Municipal Science and Technology Bureau

Natural Science Foundation of Hubei Province

Wuhan University

National Natural Science Foundation of China

Innovative Research Team of High-level Local Universities in Shanghai

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.2c03725

Reference37 articles.

1. The evolving translational potential of small extracellular vesicles in cancer

2. Specificities of secretion and uptake of exosomes and other extracellular vesicles for cell-to-cell communication

3. Circulating Extracellular Vesicles in Human Disease

4. Single exosome study reveals subpopulations distributed among cell lines with variability related to membrane content

5. Extracellular Vesicle Heterogeneity: Subpopulations, Isolation Techniques, and Diverse Functions in Cancer Progression

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