Evidence map›Paper›PMID 32489530›Full record

ArticleJournal of extracellular vesicles2020

Quantitative proteomic analysis of trypsin-treated extracellular vesicles to identify the real-vesicular proteins.

Dongsic Choi, Gyeongyun Go, Dae-Kyum Kim, Jaewook Lee, Seon-Min Park, Dolores Di Vizio, Yong Song Gho

Abstract read
In one paragraph

Article in Journal of extracellular vesicles, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Adipose-Derived Extracellular Vesicles and Intercellular Crosstalk With Skeletal Muscle: Implications for Sarcopenic Obesity and Metabolic Dysregulation.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Review
  8. 80 years of extracellular vesicles: from discovery to clinical translation.Extracellular vesicles and circulating nucleic acids · 2026
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Mucosal Exosome Proteomics of Hybrid GrouperAnimals : an open access journal from MDPI · 2024
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Dongsic ChoiDepartment of Life Sciences, Pohang University of Science and Technology, Pohang, Republic of Korea.ORCID 0000-0002-2516-5616
Gyeongyun GoDepartment of Life Sciences, Pohang University of Science and Technology, Pohang, Republic of Korea.
Dae-Kyum KimDepartment of Life Sciences, Pohang University of Science and Technology, Pohang, Republic of Korea.
Jaewook LeeDepartment of Life Sciences, Pohang University of Science and Technology, Pohang, Republic of Korea.
Seon-Min ParkPohang Center for Evaluation of Biomaterials, Pohang, Republic of Korea.
Dolores Di VizioDepartment of Surgery, Pathology and Laboratory Medicine, Samuel Oschin Comprehensive Cancer Institute Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Yong Song GhoDepartment of Life Sciences, Pohang University of Science and Technology, Pohang, Republic of Korea.ORCID 0000-0003-3366-2345

Funding

Molecular Mechanisms of Large Oncosome-Induced Prostate Cancer Progression and MetastasisR01CA234557 · NCI · CEDARS-SINAI MEDICAL CENTER · PI DI VIZIO, DOLORES · 2019 to 2023
$2.3M
High-throughput palmitoyl-proteomics profiling of extracellular vesicles for identification of biomarkers for early detection of clinically significant prostate cancerR01CA218526 · NCI · CEDARS-SINAI MEDICAL CENTER · PI DI VIZIO, DOLORES, HURLEY, PAULA JILL · 2017 to 2021
$2.0M
NCI NIH HHS R01 CA218526NCI NIH HHS R01 CA234557
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are nano-sized vesicles surrounded by a lipid bilayer and released into the extracellular milieu by most of cells. Although various EV isolation methods have been established, most of the current methods isolate EVs with contaminated non-vesicular proteins. By applying the label-free quantitative proteomic analyses of human colon cancer cell SW480-derived EVs, we identified trypsin-sensitive and trypsin-resistant vesicular proteins. Further systems biology and protein-protein interaction network analyses based on their cellular localization, we classified the trypsin-sensitive and trypsin-resistant vesicular proteins into two subgroups: 363 candidate real-vesicular proteins and 151 contaminated non-vesicular proteins. Moreover, the protein interaction network analyses showed that candidate real-vesicular proteins are mainly derived from plasma membrane (46.8%), cytosol (36.6%), cytoskeleton (8.0%) and extracellular region (2.5%). On the other hand, most of the contaminated non-vesicular proteins derived from nucleus, Golgi apparatus, endoplasmic reticulum and mitochondria. In addition, ribosomal protein complexes and T-complex proteins were classified as the contaminated non-vesicular proteins. Taken together, our trypsin-digested proteomic approach on EVs is an important advance to identify the real-vesicular proteins that could help to understand EV biogenesis and protein cargo-sorting mechanism during EV release, to identify more reliable EV diagnostic marker proteins, and to decode pathophysiological roles of EVs.

Indexed as

contaminated non-vesicular proteinsexosomesproteomicsExtracellular vesiclestrypsin/proteaseultracentrifuge

Identifiers

PMID32489530
PMCPMC7241501

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.