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Massive Proteogenomic Reanalysis of Publicly Available Proteomic Datasets of Human Tissues in Search for Protein Recoding via Adenosine-to-Inosine RNA Editing

Authors :
Lev I. Levitsky
Mark V. Ivanov
Anton O. Goncharov
Anna A. Kliuchnikova
Julia A. Bubis
Anna A. Lobas
Elizaveta M. Solovyeva
Mikhail A. Pyatnitskiy
Ruslan K. Ovchinnikov
Mikhail S. Kukharsky
Tatiana E. Farafonova
Svetlana E. Novikova
Victor G. Zgoda
Irina A. Tarasova
Mikhail V. Gorshkov
Sergei A. Moshkovskii
Source :
Journal of Proteome Research.
Publication Year :
2023
Publisher :
American Chemical Society (ACS), 2023.

Abstract

The proteogenomic search pipeline developed in this work has been applied for re-analysis of 40 publicly available shotgun proteomic datasets from various human tissues comprising more than 8,000 individual LC-MS/MS runs, of which 5442 .raw data files were processed in total. The scope of this re-analysis was focused on searching for ADAR-mediated RNA editing events, their clustering across samples of different origin, and classification. In total, 33 recoded protein sites were identified in 21 datasets. Of those, 18 sites were detected in at least two datasets representing the core human protein editome. In agreement with prior art works, neural and cancer tissues were found being enriched with recoded proteins. Quantitative analysis indicated that recoding of specific sites did not directly depend on the levels of ADAR enzymes or targeted proteins themselves, rather it was provided by differential and yet undescribed regulation of interaction of enzymes with mRNA. Nine recoding sites conservative between human and rodents were validated by targeted proteomics using stable isotope standards in murine brain cortex and cerebellum, and an additional one was validated in human cerebrospinal fluid. In addition to previous data of the same type from cancer proteomes, we provide a comprehensive catalog of recoding events caused by ADAR RNA editing in the human proteome.

Subjects

Subjects :
General Chemistry
Biochemistry

Details

ISSN :
15353907 and 15353893
Database :
OpenAIRE
Journal :
Journal of Proteome Research
Accession number :
edsair.doi.dedup.....40f00f3ab9bb6fce93dd4667c450a425