Evidence map›Paper›PMID 32396726›Full record

ArticleJournal of proteome research2020

Plasma-Derived Extracellular Vesicle Phosphoproteomics through Chemical Affinity Purification.

Anton Iliuk, Xiaofeng Wu, Li Li, Jie Sun, Marco Hadisurya, Ronald S Boris, W Andy Tao

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
4.6field-weighted citation impact, top 4% of its field
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

63 citing papers in PubMed, 85 citations in OpenAlex.

  1. Trial
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  9. Observational
  10. Review
  11. Article
  12. Article
  13. Article
  14. Plasma-Derived Extracellular Vesicle Proteomics.Journal of proteome research · 2025
    Review
  15. Article
  16. Isolation methods of exosomes derived from dental stem cells.International journal of oral science · 2025
    Review
  17. The Age-dependent Influence of the Infrapatellar Fat Pad on Chondrocyte Extracellular Matrix Production.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  18. Article
  19. Article
  20. Review

3 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 2 countries.

Anton IliukDepartment of Biochemistry, Purdue University, West Lafayette, Indiana 47907, United States.
Xiaofeng WuDepartment of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States.
Li LiTymora Analytical Operations, West Lafayette, Indiana 47906, United States.
Jie SunCollege of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.
Marco HadisuryaDepartment of Biochemistry, Purdue University, West Lafayette, Indiana 47907, United States.
Ronald S BorisDepartment of Urology, Indiana University School of Medicine, Indianapolis, Indiana 46202, United States.
W Andy TaoDepartment of Biochemistry, Purdue University, West Lafayette, Indiana 47907, United States.ORCID 0000-0002-5535-5517
Purdue University West Lafayette · USIndiana University School of MedicineSoutheast University · CN

Funding

Development of non-invasive biomarker discovery and diagnostics approach for bladder cancer based on urine proteome and phosphoproteomeR44CA239845 · NCI · TYMORA ANALYTICAL OPERATIONS, LLC · PI ILIUK, ANTON · 2019 to 2021
$1.5M
Developing EV surface proteins as biosignatures for Alzheimer's disease (AD)R41AG066328 · NIA · TYMORA ANALYTICAL OPERATIONS, LLC · PI TAO, W. ANDY · 2020 to 2020
$245k
Developing novel RPPA for the detection of metastatic prostate cancerR41CA210772 · NCI · TYMORA ANALYTICAL OPERATIONS, LLC · PI TAO, W. ANDY · 2016 to 2018
$227k
Development of non-invasive research and diagnostics platform for Alzheimer's disease based on plasma exosomesR43AG063589 · NIA · TYMORA ANALYTICAL OPERATIONS, LLC · PI ILIUK, ANTON · 2019 to 2019
$215k
NCI NIH HHS R41 CA210772NCI NIH HHS R44 CA239845NIA NIH HHS R41 AG066328NIA NIH HHS R43 AG063589
6 · The paper itself

Abstract

The invasive nature and the pain caused to patients inhibit the routine use of tissue biopsy-based procedures for cancer diagnosis and surveillance. The analysis of extracellular vesicles (EVs) from biofluids has recently gained significant traction in the liquid biopsy field. EVs offer an essential "snapshot" of their precursor cells in real time and contain an information-rich collection of nucleic acids, proteins, lipids, and so on. The analysis of protein phosphorylation, as a direct marker of cellular signaling and disease progression could be an important stepping stone to successful liquid biopsy applications. Here we introduce a rapid EV isolation method based on chemical affinity called EVtrap (extracellular vesicle total recovery and purification) for the EV phosphoproteomics analysis of human plasma. By incorporating EVtrap with high-performance mass spectrometry (MS), we were able to identify over 16 000 unique peptides representing 2238 unique EV proteins from just 5 μL of plasma sample, including most known EV markers, with substantially higher recovery levels compared with ultracentrifugation. Most importantly, more than 5500 unique phosphopeptides representing almost 1600 phosphoproteins in EVs were identified using only 1 mL of plasma. Finally, we carried out a quantitative EV phosphoproteomics analysis of plasma samples from patients diagnosed with chronic kidney disease or kidney cancer, identifying dozens of phosphoproteins capable of distinguishing disease states from healthy controls. The study demonstrates the potential feasibility of our robust analytical pipeline for cancer signaling monitoring by tracking plasma EV phosphorylation.

Indexed as

Extracellular VesiclesHumansMass SpectrometryPhosphopeptidesPhosphoproteinsUltracentrifugationPhosphopeptidesPhosphoproteinsEVtrapexosomesextracellular vesicleskidney cancerLC−MSphosphoproteomicsproteomicsrenal cell carcinoma

Identifiers

PMID32396726
PMCPMC7479851
OpenAlexW3025557718

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.