Evidence map›Paper›PMID 30080417›Full record

ArticleJournal of proteome research2018

Proteomic Toolbox To Standardize the Separation of Extracellular Vesicles and Lipoprotein Particles.

Tingting Wang, Illarion V Turko

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

15 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Research advances of tissue-derived extracellular vesicles in cancers.Journal of cancer research and clinical oncology · 2024
    Review
  4. Article
  5. Review
  6. Article
  7. Microfluidic Approaches for Affinity-Based Exosome Separation.International journal of molecular sciences · 2022
    Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
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  14. Review
  15. Article
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

2 authors at 1 institution in 1 country.

Tingting WangBiomolecular Measurement Division , National Institute of Standards and Technology , Gaithersburg , Maryland 20899 , United States.
Illarion V TurkoBiomolecular Measurement Division , National Institute of Standards and Technology , Gaithersburg , Maryland 20899 , United States.ORCID 0000-0001-9841-3898
National Institute of Standards and Technology · US

Funding

Intramural NIST DOC 9999-NIST
6 · The paper itself

Abstract

Circulating in blood, extracellular vesicles (EVs) and lipoprotein particles (LPs) have diagnostic and prognostic value. To unambiguously define their functions, separation protocols need to be developed. However, because of their similar size and density, traditional approaches to separate EVs and LPs often fail to provide the required resolution. Further development and standardization of affinity-based protocols is necessary, and a quantitative method is needed to assess the efficiency of LP depletion from EV samples. In the present study, we propose the simultaneous quantification of three groups of proteins by mass spectrometry as a toolbox to evaluate prospective separation protocols. We generated

Indexed as

ApolipoproteinsBlood ProteinsChromatography, AffinityChromatography, GelChromatography, LiquidExtracellular VesiclesHumansProteomicsReference StandardsSepharoseStaining and LabelingTandem Mass SpectrometryApolipoproteinsBlood Proteinsconcanavalin A-sepharoseheparin-sepharoseSepharosechylomicronsextracellular vesiclesheparin-Sepharoselipoprotein particlesmultiple reaction monitoringQconCATsseparationsize-exclusion chromatographystandardizationtargeted proteomics

Identifiers

PMID30080417
PMCPMC7307575
OpenAlexW2886527502

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.