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MALDI-MS-based biomarker analysis of extracellular vesicles from human lung carcinoma cells

Authors :
Chao Zhao
Wei Li
Zitong Yu
Qian Luo
Renjie Zhang
Huitao Zhang
Hui Yang
Shi Hu
Source :
RSC Advances. 11:25375-25380
Publication Year :
2021
Publisher :
Royal Society of Chemistry (RSC), 2021.

Abstract

Extracellular vesicles (EVs) are actively secreted by mammalian cells. They are increasingly recognized as promising circulating biomarkers of disease progression. Matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) is currently one of the most powerful techniques for the rapid analysis of biological samples, especially for discovering biomarkers for disease diagnosis and prognosis. It is unclear what cell culture medium components and EV isolation methods are suitable for MALDI-TOF MS analysis. Using a human lung carcinoma cell line (A549), we investigated and optimized the critical experimental conditions for EVs' protein profiling by combining differential ultracentrifugation and MALDI-TOF MS. The results demonstrated that medium components and ultracentrifugation procedures to extract EVs played important roles in MS detection. Compared with EV-depleted serum and normal serum medium, conditioned medium with 2% fetal bovine serum in this study maintained cell proliferation and displayed significant protein profiling of EVs. RPS27A (ribosomal protein), which plays an essential role in mRNA translation and ribosome assembly for the differentiation of cancer cells, was detected from the EVs of lung cancer cells associated with cancer cell migration and invasion. We also found the known tumor diagnosis marker, which is S100A10_S100 calcium-binding protein A10. Therefore, MALDI-TOF MS-based EV analysis with optimized experimental protocols can contribute to future development of rapid screening techniques of protein biomarkers associated with early cancer diagnosis.

Details

ISSN :
20462069
Volume :
11
Database :
OpenAIRE
Journal :
RSC Advances
Accession number :
edsair.doi.dedup.....f7e2f3663bc4ffd62e728b63d7fac759