TY - JOUR
T1 - Comparative Glycomic Analysis of Exosome Subpopulations Derived from Pancreatic Cancer Cell Lines
AU - Matsuda, Atsushi
AU - Kuno, Atsushi
AU - Yoshida, Maki
AU - Wagatsuma, Takanori
AU - Sato, Takashi
AU - Miyagishi, Makoto
AU - Zhao, Jing
AU - Suematsu, Makoto
AU - Kabe, Yasuaki
AU - Narimatsu, Hisashi
N1 - Funding Information:
We thank Tomomi Nakagawa for assistance with the experiments. Additionally, we would like to thank the Leading Engine Program for Accelerating Drug Discovery of AIST for financial support. This work was also supported in part by the Tailor-made Medical Treatment Program (BioBank Japan Project) of the Ministry of Education, Culture, Sports, Science, and Technology of Japan. We would like to thank Editage ( www.editage.com ) for English language editing.
Publisher Copyright:
Copyright © 2020 American Chemical Society.
PY - 2020/6/5
Y1 - 2020/6/5
N2 - 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.
AB - 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.
KW - exosome
KW - glycomics
KW - glycoprotein
KW - lectin microarray
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U2 - 10.1021/acs.jproteome.0c00200
DO - 10.1021/acs.jproteome.0c00200
M3 - Article
C2 - 32338917
AN - SCOPUS:85084599845
SN - 1535-3893
VL - 19
SP - 2516
EP - 2524
JO - Journal of Proteome Research
JF - Journal of Proteome Research
IS - 6
ER -