Back to Search Start Over

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

Authors :
Vivian Delcourt
Julien Franck
Eric Leblanc
Fabrice Narducci
Yves-Marie Robin
Jean-Pascal Gimeno
Jusal Quanico
Maxence Wisztorski
Firas Kobeissy
Jean-François Jacques
Xavier Roucou
Michel Salzet
Isabelle Fournier
Source :
EBioMedicine, Vol 21, Iss C, Pp 55-64 (2017)
Publication Year :
2017
Publisher :
Elsevier, 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. 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. 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(V5) construct. Western blot and immunofluorescence experiments confirmed constitutive co-expression of altGNL1-V5 with GNL1-FLAG. 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.

Details

Language :
English
ISSN :
23523964
Volume :
21
Issue :
C
Database :
Directory of Open Access Journals
Journal :
EBioMedicine
Publication Type :
Academic Journal
Accession number :
edsdoj.75a0a91739164e4aac8454c24b6e9f86
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ebiom.2017.06.001