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

Tímea BöröczkyGabriella DobraMátyás BukvaEdina Gyukity-SebestyénEva Hunyadi-GulyasZsuzsanna DarulaPéter HorváthKrisztina BuzásMária Harmati
Published in: Life (Basel, Switzerland) (2023)
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.
Keyphrases
  • mass spectrometry
  • cell adhesion
  • machine learning
  • magnetic resonance
  • magnetic resonance imaging
  • small molecule
  • artificial intelligence
  • dna methylation
  • big data
  • liquid chromatography
  • protein protein
  • deep learning