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Combined Mass Spectrometry Imaging and Top-down Microproteomics Reveals Evidence of a Hidden Proteome in Ovarian Cancer.

Authors :
Delcourt V
Franck J
Leblanc E
Narducci F
Robin YM
Gimeno JP
Quanico J
Wisztorski M
Kobeissy F
Jacques JF
Roucou X
Salzet M
Fournier I
Source :
EBioMedicine [EBioMedicine] 2017 Jul; Vol. 21, pp. 55-64. Date of Electronic Publication: 2017 Jun 03.
Publication Year :
2017

Abstract

Background: Recently, it was demonstrated that proteins can be translated from alternative open reading frames (altORFs), increasing the size of the actual proteome. Top-down mass spectrometry-based proteomics allows the identification of intact proteins containing post-translational modifications (PTMs) as well as truncated forms translated from reference ORFs or altORFs.<br />Methods: Top-down tissue microproteomics was applied on benign, tumor and necrotic-fibrotic regions of serous ovarian cancer biopsies, identifying proteins exhibiting region-specific cellular localization and PTMs. The regions of interest (ROIs) were determined by MALDI mass spectrometry imaging and spatial segmentation.<br />Findings: Analysis with a customized protein sequence database containing reference and alternative proteins (altprots) identified 15 altprots, including alternative G protein nucleolar 1 (AltGNL1) found in the tumor, and translated from an altORF nested within the GNL1 canonical coding sequence. Co-expression of GNL1 and altGNL1 was validated by transfection in HEK293 and HeLa cells with an expression plasmid containing a GNL1-FLAG <superscript>(V5)</superscript> construct. Western blot and immunofluorescence experiments confirmed constitutive co-expression of altGNL1-V5 with GNL1-FLAG.<br />Conclusions: Taken together, our approach provides means to evaluate protein changes in the case of serous ovarian cancer, allowing the detection of potential markers that have never been considered.<br /> (Copyright © 2017 The Author(s). Published by Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
2352-3964
Volume :
21
Database :
MEDLINE
Journal :
EBioMedicine
Publication Type :
Academic Journal
Accession number :
28629911
Full Text :
https://doi.org/10.1016/j.ebiom.2017.06.001