Proximity Proteomics
Has Potential for Extracellular
Vesicle Identification
Posted on 2021-06-11 - 20:47
Extracellular vesicles (EVs) are
biomarkers and mediators of intercellular
communication. In biological samples, EVs are secreted by various
types of cells. The proteomic identification of proteins expressed
in EVs has potential to contribute to research and clinical applications,
particularly for cancer. In this study, the proximity-labeling method-based
proteomic approach was used for EV identification, labeling membrane
components proximal to a given molecule on the EV membrane surface.
Due to the small labeling range, proteins on the surface of the same
EVs are likely to be labeled by selecting a given EV surface antigen.
The protein group of cancer cell-secreted EV (cEV), which abundantly
expresses a close homologue of L1 (CHL1), was examined using a model
mouse for lung cancer (LC). cEV-expressed proteins were identified
by proteomic analysis of enzyme-mediated activation of radical sources
by comparing serum EVs from wild-type and LC mice. SLC4A1 was found
to be co-expressed in CHL1-expressing EVs, highlighting EVs expressing
both CHL1 and SLC4A1 as candidates for cEVs. Serum EVs expressing
both CHL1 and caspase 14 were significantly elevated in LC patients
compared with healthy individuals. Thus, the combination of proximity
labeling and proteomic analysis allows for effective EV identification.
CITE THIS COLLECTION
DataCiteDataCite
3 Biotech3 Biotech
3D Printing in Medicine3D Printing in Medicine
3D Research3D Research
3D-Printed Materials and Systems3D-Printed Materials and Systems
4OR4OR
AAPG BulletinAAPG Bulletin
AAPS OpenAAPS Open
AAPS PharmSciTechAAPS PharmSciTech
Abhandlungen aus dem Mathematischen Seminar der Universität HamburgAbhandlungen aus dem Mathematischen Seminar der Universität Hamburg
ABI Technik (German)ABI Technik (German)
Academic MedicineAcademic Medicine
Academic PediatricsAcademic Pediatrics
Academic PsychiatryAcademic Psychiatry
Academic QuestionsAcademic Questions
Academy of Management DiscoveriesAcademy of Management Discoveries
Academy of Management JournalAcademy of Management Journal
Academy of Management Learning and EducationAcademy of Management Learning and Education
Academy of Management PerspectivesAcademy of Management Perspectives
Academy of Management ProceedingsAcademy of Management Proceedings
Academy of Management ReviewAcademy of Management Review
Kaneda, Hisako; Ida, Yui; Kuwahara, Ryusuke; Sato, Izumi; Nakano, Takanari; Tokuda, Haruhiko; et al. (2021). Proximity Proteomics
Has Potential for Extracellular
Vesicle Identification. ACS Publications. Collection. https://doi.org/10.1021/acs.jproteome.1c00149