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Proteomic Analysis Identifies ATE1-Dependent Arginylation Dysregulation across Meningioma Grades.

Overview

Authors: Janaina Macedo-da-Silva1, Benedito Jamilson Araújo Pereira2, Simon Ngao Mule1, Sueli Mieko Oba-Shinjo2, Livia Rosa-Fernandes3, Suely K N Marie2, Giuseppe Palmisano1
  1. GlycoProteomics Laboratory, Department of Parasitology, ICB, University of São Paulo, Sao Paulo CEP: 05508-900, Brazil
  2. Laboratory of Molecular and Cellular Biology (LIM 15), Department of Neurology, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo CEP: 01246-903, Brazil
  3. Motor Neuron Disease Research Centre, Faculty of Medicine, Health and Human Sciences, Macquarie Medical School, Sydney, New South Wales 2109, Australia
Institutions: Universidade de São Paulo (Brazil); Macquarie University (Australia)
Journal: Journal of proteome research, volume 25, issue 8, pages 3926-3936
Dates: received 17 December 2025; accepted 15 June 2026; published online 29 June 2026; in print August 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1021/acs.jproteome.5c01173 · PMID 42372081 · PMCID PMC13459535 · OpenAlex W7166528392
Open access: hybrid, a free copy (OpenAlex)
Status: data only
Categories: genetics / omics (modality), human (organism), other condition (population)
Methods: Statistics, Smoothing, state filtering, decompositions
Keywords: arginylation, ATE1, meningiomas, grade comparison, proteomics, post-translational modifications (PTMs)
MeSH: Aminoacyltransferases*, Arginine*, Meningeal Neoplasms*, Meningioma*, Proteomics*, Autophagy, Degrons, Gene Expression Regulation, Neoplastic, Humans, Neoplasm Grading, Protein Processing, Post-Translational, Signal Transduction, Unfolded Protein Response (* major topic)
Topic: Cancer-related gene regulation (Molecular Biology, Biochemistry, Genetics and Molecular Biology), according to OpenAlex
Funding: Funda????o de Amparo ls Pesquisa do Estado de S??o Paulo (2018/18257-1, 2020/04923-0, 2018/15549-1, 2022/11334-6, 2020/02988-7, 2021/00140-3); Conselho Nacional de Desenvolvimento Científico e Tecnológico (307854/2018-3, 304541/2020-6, 312361/2025-4); Faculdade de Medicina da Universidade de S??o Paulo (NA)
Citations: not cited yet (Europe PMC); 44 references in the paper

Abstract

Meningiomas are the most common primary brain tumors, yet the molecular pathways that distinguish grade 1 from grade 2 lesions remain insufficiently understood. Among post-translational modifications, N-terminal arginylationcatalyzed by ATE1regulates protein stability and cellular stress responses, but its role in meningioma biology has not been explored. Here, we integrated mass-spectrometry–based proteomics, immunoblotting, and transcriptomic reanalysis to investigate pathway regulation across tumor grades. Grade 1 meningiomas displayed higher ATE1 expression and increased arginylation of key chaperones, accompanied by activation of the PERK branch of the unfolded protein response (UPR), enhanced autophagy, and greater engagement of apoptotics pathways. In contrast, grade 2 tumors showed reduced ATE1 levels, diminished BIP arginylation, attenuated UPR-PERK signaling, impaired autophagy, and increased proliferative signaling. Proteins predicted to be substrates of ATE1-mediated degradation were upregulated in grade 2 tumors, suggesting that loss of arginylation may stabilize pro-oncogenic factors. Together, these findings reveal grade-specific remodeling of the N-degron/arginylation axis and highlight protein arginylation as a previously unrecognized modulator of meningioma progression, with potential therapeutic relevance.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

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Data

Datasets cited

Data Availability Statement

Project Name: Proteomic analysis identifies ATE1-dependent arginylation dysregulation across meningioma grades Project Accession: PXD071919 Project DOI: Not applicable

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 3, 28 September 2026

  • Publisher: n/a → American Chemical Society

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 7 authors, 6 keywords, 13 MeSH terms, 3 funders, 44 references.

Cite

This paper

Macedo-da-Silva, J., Pereira, B. J. A., Mule, S. N., Oba-Shinjo, S. M., Rosa-Fernandes, L., Marie, S. K. N., & Palmisano, G. (2026). Proteomic Analysis Identifies ATE1-Dependent Arginylation Dysregulation across Meningioma Grades. Journal of proteome research, 25(8), 3926-3936. https://doi.org/10.1021/acs.jproteome.5c01173

BibTeX

@article{macedodasilva2026proteomic,
author = {Macedo-da-Silva, Janaina and Pereira, Benedito Jamilson Araújo and Mule, Simon Ngao and Oba-Shinjo, Sueli Mieko and Rosa-Fernandes, Livia and Marie, Suely K N and Palmisano, Giuseppe},
title = {{Proteomic Analysis Identifies ATE1-Dependent Arginylation Dysregulation across Meningioma Grades}},
journal = {Journal of proteome research},
year = {2026},
month = aug,
volume = {25},
number = {8},
pages = {3926--3936},
publisher = {American Chemical Society},
issn = {1535-3893},
doi = {10.1021/acs.jproteome.5c01173},
url = {https://doi.org/10.1021/acs.jproteome.5c01173},
pmid = {42372081},
pmcid = {PMC13459535}
}

RIS

TY - JOUR
AU - Macedo-da-Silva, Janaina
AU - Pereira, Benedito Jamilson Araújo
AU - Mule, Simon Ngao
AU - Oba-Shinjo, Sueli Mieko
AU - Rosa-Fernandes, Livia
AU - Marie, Suely K N
AU - Palmisano, Giuseppe
TI - Proteomic Analysis Identifies ATE1-Dependent Arginylation Dysregulation across Meningioma Grades
T2 - Journal of proteome research
J2 - J Proteome Res
PY - 2026
DA - 2026/08/01
VL - 25
IS - 8
SP - 3926
EP - 3936
SN - 1535-3893
PB - American Chemical Society
DO - 10.1021/acs.jproteome.5c01173
UR - https://doi.org/10.1021/acs.jproteome.5c01173
LA - en
ER -

CSL-JSON

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