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Extracellular Vesicles Production and Proteomic Cargo Varies with Incubation Time and Temperature

Overview
Journal Exp Cell Res
Specialty Cell Biology
Date 2022 Dec 30
PMID 36584743
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Abstract

Extracellular vesicles (EVs) are heterogenous populations of proteolipid bi-layered vesicles secreted by cells as an important biological process. EVs cargo can reflect the cellular environmental conditions in which cells grow. The use of serum-free conditioned media to harvest EVs leads to stress-mediated cellular changes with longer incubation time and impacts EV production and functionality. This study aims to explore the role of incubation time and temperature on EV production and proteomic cargo. For this purpose, an optimized ultrafiltration-size exclusion chromatography-based technique is developed, which isolates small EVs ranging from 130 to 220 nm. The result shows higher EVs production in cancerous cells (K7M2) compared to noncancerous cells (NIH/3T3), which increases with longer incubation time and elevated temperature. Mass spectrometry-based proteomic characterization of EVs showed incubation time and temperature-dependent proteomic profile. A set of enriched EV proteins were identified in EVs isolated at nutrient-stress (72 h incubation time) and heat-stress (40 °C incubation temperature) environment. Enrichment of Serpinb1a in EVs isolated in heat stress was further validated via immunoblot. Gene enrichment analysis revealed that enriched EV proteins following nutrient stress were involved in negative regulation of transcription, response to oxidative stress, and protein folding. Likewise, enriched EV proteins following heat stress were involved in oxaloacetate and aspartate metabolism, and glutamate catabolic process. EVs isolated under nutrient stress showed pro-proliferative activity whereas EVs isolated under heat stress showed anti-proliferative activity. Our results show that incubation time and temperature can alter EV production, its proteomic cargo, and functionality, which can be used to design need-based standard isolation parameters for reproducible EV research.

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