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Orbitrap Mass Spectrometry and High-Field Asymmetric Waveform Ion Mobility Spectrometry (FAIMS) Enable the in-Depth Analysis of Human Serum Proteoforms.

Authors :
Kline JT
Belford MW
Boeser CL
Huguet R
Fellers RT
Greer JB
Greer SM
Horn DM
Durbin KR
Dunyach JJ
Ahsan N
Fornelli L
Source :
Journal of proteome research [J Proteome Res] 2023 Nov 03; Vol. 22 (11), pp. 3418-3426. Date of Electronic Publication: 2023 Sep 29.
Publication Year :
2023

Abstract

Blood serum and plasma are arguably the most commonly analyzed clinical samples, with dozens of proteins serving as validated biomarkers for various human diseases. Top-down proteomics may provide additional insights into disease etiopathogenesis since this approach focuses on protein forms, or proteoforms, originally circulating in blood, potentially providing access to information about relevant post-translational modifications, truncations, single amino acid substitutions, and many other sources of protein variation. However, the vast majority of proteomic studies on serum and plasma are carried out using peptide-centric, bottom-up approaches that cannot recapitulate the original proteoform content of samples. Clinical laboratories have been slow to adopt top-down analysis, also due to higher sample handling requirements. In this study, we describe a straightforward protocol for intact proteoform sample preparation based on the depletion of albumin and immunoglobulins, followed by simplified protein fractionation via polyacrylamide gel electrophoresis. After molecular weight-based fractionation, we supplemented the traditional liquid chromatography-tandem mass spectrometry (LC-MS <superscript>2</superscript> ) data acquisition with high-field asymmetric waveform ion mobility spectrometry (FAIMS) to further simplify serum proteoform mixtures. This LC-FAIMS-MS <superscript>2</superscript> method led to the identification of over 1000 serum proteoforms < 30 kDa, outperforming traditional LC-MS <superscript>2</superscript> data acquisition and more than doubling the number of proteoforms identified in previous studies.

Details

Language :
English
ISSN :
1535-3907
Volume :
22
Issue :
11
Database :
MEDLINE
Journal :
Journal of proteome research
Publication Type :
Academic Journal
Accession number :
37774690
Full Text :
https://doi.org/10.1021/acs.jproteome.3c00488