Comparative Glycomic Analysis of Exosome Subpopulations Derived from Pancreatic Cancer Cell Lines.


Journal

Journal of proteome research
ISSN: 1535-3907
Titre abrégé: J Proteome Res
Pays: United States
ID NLM: 101128775

Informations de publication

Date de publication:
05 06 2020
Historique:
pubmed: 28 4 2020
medline: 22 6 2021
entrez: 28 4 2020
Statut: ppublish

Résumé

Extracellular vesicles such as exosomes are generally covered with an array of glycans, which are controlled by the host-cell glyco-synthetic machinery, similar to secreted and membrane glycoproteins. Several exosome subpopulations classified by their tetraspanin expression have been investigated in the context of diseases. However, a comparative analysis of their glycomics has never been attempted. Herein, we report a method for the comparative glycomic analysis of exosome subpopulations among pancreatic cancer cell lines. Glycomic profiles were obtained for extracellular vesicles, secreted glycoproteins, and membrane glycoproteins from eight cell lines. Statistical analyses revealed high populations of PHA-L-binding proteins in the vesicles. The surfaces of extracellular vesicles were labeled with Cy3 and captured by magnetic beads with antibodies against tetraspanins (CD9, CD63, and CD81). The coprecipitated vesicles were lysed and subjected to a lectin microarray analysis. A hierarchical clustering analysis using 19 glycomic profiles confirmed that most subpopulations, except CD81-positive exosomes, could be distinguished according to the host-cell species. Principal component analysis and subsequent lectin-affinity capturing of intact exosomes highlighted that CD81-positive exosomes preferentially expressed not PHA-L- but LEL-binding proteins on their surfaces. These data suggested that exosomal glycomics depended on the host-cell type and subpopulation.

Identifiants

pubmed: 32338917
doi: 10.1021/acs.jproteome.0c00200
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2516-2524

Auteurs

Atsushi Matsuda (A)

Biotechnology Research Institute for Drug Discovery, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8565, Japan.
Department of Biochemistry, Keio University School of Medicine, Tokyo 160-8582, Japan.

Atsushi Kuno (A)

Biotechnology Research Institute for Drug Discovery, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8565, Japan.

Maki Yoshida (M)

Biotechnology Research Institute for Drug Discovery, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8565, Japan.

Takanori Wagatsuma (T)

Biotechnology Research Institute for Drug Discovery, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8565, Japan.

Takashi Sato (T)

Biotechnology Research Institute for Drug Discovery, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8565, Japan.

Makoto Miyagishi (M)

Biomedical Research Institute, AIST, Tsukuba 305-8566, Japan.

Jing Zhao (J)

Biomedical Research Institute, AIST, Tsukuba 305-8566, Japan.

Makoto Suematsu (M)

Department of Biochemistry, Keio University School of Medicine, Tokyo 160-8582, Japan.

Yasuaki Kabe (Y)

Department of Biochemistry, Keio University School of Medicine, Tokyo 160-8582, Japan.

Hisashi Narimatsu (H)

Biotechnology Research Institute for Drug Discovery, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8565, Japan.

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Classifications MeSH