Multiplexed Data-Independent Acquisition (mDIA) to Profile Extracellular Vesicle Proteomes.

ABSTRACT: Extracellular vesicles (EVs) have gained increasing attention with their intriguing biological functions and their molecular cargoes serving as potential biomarkers for various diseases, including cancers. A relatively lower abundance of EV proteins compared to cellular counterparts necessitates sensitive and accurate quantitative proteomic strategies. Multiplexed proteomics combined with data-independent acquisition (mDIA) has shown promise for improving sensitivity and quantification over traditional DDA and label-free methods. Despite this, mDIA pipelines that utilize various types of spectral libraries and search software suites have not been thoroughly evaluated with EV proteome samples. In this study, we aim to establish a robust mDIA pipeline based on dimethyl labeling for quantitat

SUBMITTER: Liu YK 

PROVIDER: S-EPMC12132246 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature