Cited by 75Extracellular vesicles in diseaseAdvanced Proteomics Techniques and ApplicationsCaveolin-1 and cellular processes

A size-exclusion-based approach for purifying extracellular vesicles from human plasma

Open access
Vanderboom, Patrick M., Dasari, Surendra, Ruegsegger, Gregory N., Pataky, Mark W., Lucien, Fabrice, Heppelmann, Carrie Jo, Lanza, Ian R., Nair, K. Sreekumaran·2021·Cell Reports Methods

Abstract

Extracellular vesicles (EVs) are released into blood from multiple organs and carry molecular cargo that facilitates inter-organ communication and an integrated response to physiological and pathological stimuli. Interrogation of the protein cargo of EVs is currently limited by the absence of optimal and reproducible approaches for purifying plasma EVs that are suitable for downstream proteomic analyses. We describe a size-exclusion chromatography (SEC)-based method to purify EVs from platelet-poor plasma (PPP) for proteomics profiling via high-resolution mass spectrometry (SEC-MS). The SEC-MS method identifies more proteins with higher precision than several conventional EV isolation approaches. We apply the SEC-MS method to identify the unique proteomic signatures of EVs released from platelets, adipocytes, muscle cells, and hepatocytes, with the goal of identifying tissue-specific EV markers. Furthermore, we apply the SEC-MS approach to evaluate the effects of a single bout of exercise on EV proteomic cargo in human plasma.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.crmeth.2021.100055

Cites

44 of 44 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • A 2021 optimized size-exclusion chromatography method for proteomic analysis of plasma-derived extracellular vesicles from platelet-poor plasma has greater precision than conventional techniques and shows a distinct exosome protein cargo profile after acute exercise in humans.

    “A 2021 paper presented an optimized size-exclusion chromatography method for proteomic analysis of plasma-derived extracellular vesicles from platelet-poor plasma; this technique has greater precision than conventional extracellular vesicle techniques and demonstrates a distinct exosome protein cargo profile after acute exercise in humans37.”

    From Exerkines in health, resilience and disease (2022) · cites this paper as [37]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Vanderboom, P. M., Dasari, S., Ruegsegger, G. N., Pataky, M. W., Lucien, F., Heppelmann, C. J., Lanza, I. R., & Nair, K. S.
Affiliations
Mayo Clinic (US)
Corresponding author
Nair, K. Sreekumaran
Venue
Cell Reports Methods
Publisher
Elsevier BV
Published
2021-07
Volume
1
Issue
3
Pages
100055
ISSN
2667-2375 (ISSN-L)
OpenAlex
W3184543356
Cited by
75
References
44
Citations by year
2026: 14 · 2025: 20 · 2024: 19 · 2023: 12 · 2022: 10
FWCI
3.22
Type
journal article
Language
en
Open access
Locations
  • Cell Reports Methods (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Mayo Clinic (T32-AG-49672, U24-DK-100469)
  • National Center for Advancing Translational Sciences
  • Georgia Clinical and Translational Science Alliance
  • National Institutes of Health (R01 AG062859, UL1 TR002377)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Extracellular vesicles in disease
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Caveolin-1 and cellular processes
Keywords
extracellular vesicles, size exclusion chromatography, platelet-poor plasma, EV proteome, inter-organ communication
MeSH terms
Extracellular Vesicles, Chromatography, Gel, Humans, Proteins, Mass Spectrometry, Proteomics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review