Evidence map›Paper›PMID 36676155›Full record

ArticleLife (Basel, Switzerland)2023

Impact of Experimental Conditions on Extracellular Vesicles' Proteome: A Comparative Study.

Tímea Böröczky, Gabriella Dobra, Mátyás Bukva, Edina Gyukity-Sebestyén, Éva Hunyadi-Gulyás, Zsuzsanna Darula, Péter Horváth, Krisztina Buzás, Mária Harmati

Open access · goldAbstract read
In one paragraph

Article in Life (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Extracellular Vesicles: A New Star for Gene Drug Delivery.International journal of nanomedicine · 2024
    Review
  6. 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

9 authors at 3 institutions in 2 countries.

Tímea BöröczkyLaboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Eötvös Lorand Research Network (ELKH), H-6726 Szeged, Hungary.
Gabriella DobraLaboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Eötvös Lorand Research Network (ELKH), H-6726 Szeged, Hungary.
Mátyás BukvaLaboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Eötvös Lorand Research Network (ELKH), H-6726 Szeged, Hungary.
Edina Gyukity-SebestyénLaboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Eötvös Lorand Research Network (ELKH), H-6726 Szeged, Hungary.
Éva Hunyadi-GulyásLaboratory of Proteomics Research, Biological Research Centre, Eötvös Lorand Research Network (ELKH), H-6726 Szeged, Hungary.ORCID 0000-0003-2089-1499
Zsuzsanna DarulaLaboratory of Proteomics Research, Biological Research Centre, Eötvös Lorand Research Network (ELKH), H-6726 Szeged, Hungary.ORCID 0000-0003-1692-7591
Péter HorváthLaboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Eötvös Lorand Research Network (ELKH), H-6726 Szeged, Hungary.
Krisztina BuzásLaboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Eötvös Lorand Research Network (ELKH), H-6726 Szeged, Hungary.
Mária HarmatiLaboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Eötvös Lorand Research Network (ELKH), H-6726 Szeged, Hungary.ORCID 0000-0002-4875-5723
University of Szeged · HUHUN-REN Szegedi Biológiai Kutatóközpont · HUUniversity of Helsinki · FI

Funding

Economic Development and Innovation Operative Programmes GINOP-2.3.2-15-2016-00001Economic Development and Innovation Operative Programmes GINOP-2.3.2-15-2016-00020European Unions' Horizon 2020 research and innovation program 739593National Research, Development and Innovation Fund ÚNKP-22-3National Research, Development and Innovation Office OTKA-K143255National Research, Development and Innovation Office TKP2021-EGA-09University of Szeged Szent-Györgyi Albert Research Fund
6 · The paper itself

Abstract

Extracellular vesicle (EV) research is a rapidly developing field, mainly due to the key role of EVs in intercellular communication and pathophysiological processes. However, the heterogeneity of EVs challenges their exploration and the establishment of gold-standard methods. Here, we aimed to reveal the influence of technical changes on EV biology and the reliability of experimental data. We used B16F1 melanoma cells as a model and applied nanoparticle tracking analysis, mass spectrometry (LC-MS/MS) and pathway enrichment analysis to analyze the quantity, size distribution, proteome and function of their small EVs (sEVs) produced in sEV-depleted fetal bovine serum (FBS)-containing medium or serum-free medium. Additionally, we investigated the effects of minor technical variances on the quality of sEV preparations. We found that storage of the isolates at -80 °C has no adverse effect on LC-MS/MS analysis, and an additional washing step after differential ultracentrifugation has a minor influence on the sEV proteome. In contrast, FBS starvation affects the production and proteome of sEVs; moreover, these vesicles may have a greater impact on protein metabolism, but a smaller impact on cell adhesion and membrane raft assembly, than the control sEVs. As we demonstrated that FBS starvation has a strong influence on sEV biology, applying serum-free conditions might be considered in in vitro sEV studies.

Indexed as

EV-depleted fetal bovine serum (FBS)FBS starvationmass spectrometrynanoparticle tracking analysis (NTA)pathway enrichment analysisserum-free mediumsEV proteomesmall extracellular vesicles (sEVs)

Identifiers

PMID36676155
PMCPMC9864048
OpenAlexW4315648669

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.