Coupling suspension trapping–based sample preparation and data-independent acquisition mass spectrometry for sensitive exosomal proteomic analysis

It has been a challenge to analyze minute amounts of proteomic samples in a facile and robust manner. Herein, we developed a quantitative proteomics workflow by integrating suspension trapping (S-Trap)–based sample preparation and label-free data-independent acquisition (DIA) mass spectrometry and t...

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Veröffentlicht in:Analytical and bioanalytical chemistry 2022-03, Vol.414 (8), p.2585-2595
Hauptverfasser: Wu, Ci, Zhou, Shiyun, Mitchell, Megan I., Hou, Chunyan, Byers, Stephen, Loudig, Olivier, Ma, Junfeng
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Sprache:eng
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Zusammenfassung:It has been a challenge to analyze minute amounts of proteomic samples in a facile and robust manner. Herein, we developed a quantitative proteomics workflow by integrating suspension trapping (S-Trap)–based sample preparation and label-free data-independent acquisition (DIA) mass spectrometry and then applied it for the analysis of microgram and even nanogram amounts of exosome samples. S-Trap–based sample preparation outperformed the traditional in-solution digestion-based approach and the commonly used filter-aided sample preparation (FASP)–based approach with regard to the number of proteins and peptides identified. Moreover, S-Trap–based sample preparation coupled with DIA mass spectrometry also showed the highest reproducibility for protein quantification. In addition, this approach allowed for identification and quantification of exosome proteins with low starting amounts (down to 50 ~ 200 ng). Finally, the proposed method was successfully applied to label-free quantification of exosomal proteins extracted from MDA-MB-231 breast cancer cells and MCF-10A non-tumorigenic epithelial breast cells. Prospectively, we envision the integrated S-Trap sample preparation coupled with DIA quantification strategy as a promising alternative for highly efficient and sensitive analysis of trace amounts of proteomic samples (e.g., exosomal samples). Graphical abstract
ISSN:1618-2642
1618-2650
DOI:10.1007/s00216-022-03920-z