TY - JOUR
T1 - Differential ultracentrifugation enables deep plasma proteomics through enrichment of extracellular vesicles
AU - Kverneland, Anders H
AU - Østergaard, Ole
AU - Emdal, Kristina Bennet
AU - Svane, Inge Marie
AU - Olsen, Jesper Velgaard
N1 - © 2022 The Authors. Proteomics published by Wiley-VCH GmbH.
PY - 2023/4
Y1 - 2023/4
N2 - Human plasma is a rich source of biomedical information and biomarkers. However, the enormous dynamic range of plasma proteins limits its accessibility to mass spectrometric (MS) analysis. Here, we show that enrichment of extracellular vesicles (EVs) by ultracentrifugation increases plasma proteome depth by an order of magnitude. With this approach, more than two thousand proteins are routinely and reproducibly quantified by label-free quantification and data independent acquisition (DIA) in single-shot liquid chromatography tandem mass spectrometry runs of less than one hour. We present an optimized plasma proteomics workflow that enables high-throughput with very short chromatographic gradients analyzing hundred samples per day with deep proteome coverage, especially when including a study-specific spectral library generated by repeated injection and gas-phase fractionation of pooled samples. Finally, we test the workflow on clinical biobank samples from malignant melanoma patients in immunotherapy to demonstrate the improved proteome coverage supporting the potential for future biomarker discovery.
AB - Human plasma is a rich source of biomedical information and biomarkers. However, the enormous dynamic range of plasma proteins limits its accessibility to mass spectrometric (MS) analysis. Here, we show that enrichment of extracellular vesicles (EVs) by ultracentrifugation increases plasma proteome depth by an order of magnitude. With this approach, more than two thousand proteins are routinely and reproducibly quantified by label-free quantification and data independent acquisition (DIA) in single-shot liquid chromatography tandem mass spectrometry runs of less than one hour. We present an optimized plasma proteomics workflow that enables high-throughput with very short chromatographic gradients analyzing hundred samples per day with deep proteome coverage, especially when including a study-specific spectral library generated by repeated injection and gas-phase fractionation of pooled samples. Finally, we test the workflow on clinical biobank samples from malignant melanoma patients in immunotherapy to demonstrate the improved proteome coverage supporting the potential for future biomarker discovery.
KW - Extracellular Vesicles/metabolism
KW - Humans
KW - Mass Spectrometry/methods
KW - Proteome/analysis
KW - Proteomics/methods
KW - Ultracentrifugation
UR - http://www.scopus.com/inward/record.url?scp=85142816437&partnerID=8YFLogxK
U2 - 10.1002/pmic.202200039
DO - 10.1002/pmic.202200039
M3 - Journal article
C2 - 36398564
VL - 23
SP - e2200039
JO - Proteomics
JF - Proteomics
SN - 1615-9853
IS - 7-8
M1 - 2200039
ER -