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Author Spotlight: Advancing the Analysis of Plasma Extracellular Vesicle Proteome for Cardiovascular Biomarker Studies
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Proximity Proteomics Has Potential for Extracellular Vesicle Identification.

Hisako Kaneda1,2, Yui Ida1, Ryusuke Kuwahara3

  • 1Department of Biochemistry, Saitama Medical University, 38 Morohongo, Moroyama-machi, Iruma-gun, Saitama 350-0495, Japan.

Journal of Proteome Research
|June 11, 2021
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Summary

This study identifies novel cancer cell-secreted extracellular vesicles (EVs) using proximity labeling and proteomics. EVs expressing CHL1 and SLC4A1, or CHL1 and caspase 14, show promise as cancer biomarkers.

Keywords:
extracellular vesiclelung cancermembraneproximity proteomics

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Oncology

Background:

  • Extracellular vesicles (EVs) are crucial for intercellular communication and serve as potential biomarkers.
  • Proteomic analysis of EVs can advance cancer research and clinical applications.
  • Identifying specific EV subtypes, like cancer cell-secreted EVs (cEVs), is essential.

Purpose of the Study:

  • To develop and apply a proximity-labeling proteomic approach for identifying cancer cell-secreted EVs (cEVs).
  • To investigate potential protein markers for lung cancer (LC) detection using EVs.

Main Methods:

  • Utilized proximity-labeling for EV surface protein identification.
  • Employed proteomic analysis of enzyme-mediated activation of radical sources.
  • Compared serum EVs from wild-type and lung cancer model mice.

Main Results:

  • Identified SLC4A1 co-expressed in CHL1-expressing EVs, suggesting them as cEV candidates.
  • Found significantly elevated serum EVs expressing both CHL1 and caspase 14 in lung cancer patients versus healthy individuals.

Conclusions:

  • Proximity labeling combined with proteomic analysis is effective for EV identification.
  • EVs expressing CHL1 and SLC4A1 are potential cEV markers.
  • CHL1 and caspase 14 co-expressing EVs may serve as diagnostic biomarkers for lung cancer.