Evidence map›Paper›PMID 35475236›Full record

ArticleCell reports methods2021

Global analysis of protein arginine methylation.

Fangrong Zhang, Jakob Kerbl-Knapp, Maria J Rodriguez Colman, Andreas Meinitzer, Therese Macher, Nemanja Vujić, Sandra Fasching, Evelyne Jany-Luig, Melanie Korbelius, Katharina B Kuentzel and 13 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.4field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 54 citations in OpenAlex.

  1. Review
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  6. An NMR-Based Approach for Global Arginine Methylation Analysis.Methods in molecular biology (Clifton, N.J.) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors at 3 institutions in 2 countries.

Fangrong ZhangGottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, Neue Stiftingtalstraße 6/6, 8010 Graz, Austria.
Jakob Kerbl-KnappGottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, Neue Stiftingtalstraße 6/6, 8010 Graz, Austria.
Maria J Rodriguez ColmanOncode Institute and Department of Molecular Cancer Research, Center for Molecular Medicine, University Medical Center Utrecht, 3584 CX Utrecht, the Netherlands.
Andreas MeinitzerClinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, 8010 Graz, Austria.
Therese MacherGottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, Neue Stiftingtalstraße 6/6, 8010 Graz, Austria.
Nemanja VujićGottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, Neue Stiftingtalstraße 6/6, 8010 Graz, Austria.
Sandra FaschingInstitute of Pharmaceutical Sciences, University of Graz, 8010 Graz, Austria.
Evelyne Jany-LuigInstitute of Pharmaceutical Sciences, University of Graz, 8010 Graz, Austria.
Melanie KorbeliusGottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, Neue Stiftingtalstraße 6/6, 8010 Graz, Austria.
Katharina B KuentzelGottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, Neue Stiftingtalstraße 6/6, 8010 Graz, Austria.
Maximilian MackBioTechMed-Graz, 8010 Graz, Austria.
Alena AkhmetshinaGottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, Neue Stiftingtalstraße 6/6, 8010 Graz, Austria.
Anita PirchheimGottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, Neue Stiftingtalstraße 6/6, 8010 Graz, Austria.
Margret PaarOtto-Loewi Research Center, Physiological Chemistry, Medical University of Graz, 8010 Graz, Austria.
Beate RinnerDivision of Biomedical Research, Medical University of Graz, 8036 Graz, Austria.
Gerd HörlOtto-Loewi Research Center, Physiological Chemistry, Medical University of Graz, 8010 Graz, Austria.
Ernst SteyrerGottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, Neue Stiftingtalstraße 6/6, 8010 Graz, Austria.
Ulrich StelzlBioTechMed-Graz, 8010 Graz, Austria.
Boudewijn BurgeringOncode Institute and Department of Molecular Cancer Research, Center for Molecular Medicine, University Medical Center Utrecht, 3584 CX Utrecht, the Netherlands.
Tobias EisenbergBioTechMed-Graz, 8010 Graz, Austria.
Brigitte PertschyBioTechMed-Graz, 8010 Graz, Austria.
Dagmar KratkyGottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, Neue Stiftingtalstraße 6/6, 8010 Graz, Austria.
Tobias MadlGottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, Neue Stiftingtalstraße 6/6, 8010 Graz, Austria.
Medical University of Graz · ATUniversity of Graz · ATUniversity Medical Center Utrecht · NL

Funding

Austrian Science Fund FWF DOC 31Austrian Science Fund FWF I 3792Austrian Science Fund FWF P 30162Austrian Science Fund FWF P 32400Austrian Science Fund FWF W 1226
6 · The paper itself

Abstract

Quantitative information about the levels and dynamics of post-translational modifications (PTMs) is critical for an understanding of cellular functions. Protein arginine methylation (ArgMet) is an important subclass of PTMs and is involved in a plethora of (patho)physiological processes. However, because of the lack of methods for global analysis of ArgMet, the link between ArgMet levels, dynamics, and (patho)physiology remains largely unknown. We utilized the high sensitivity and robustness of nuclear magnetic resonance (NMR) spectroscopy to develop a general method for the quantification of global protein ArgMet. Our NMR-based approach enables the detection of protein ArgMet in purified proteins, cells, organoids, and mouse tissues. We demonstrate that the process of ArgMet is a highly prevalent PTM and can be modulated by small-molecule inhibitors and metabolites and changes in cancer and during aging. Thus, our approach enables us to address a wide range of biological questions related to ArgMet in health and disease.

Indexed as

ArginineNeoplasmsAnimalsMethylationMiceProtein Processing, Post-TranslationalProteinsArginineProteinsagingarginine methylationcancercell differentiationmouse modelsNMR spectroscopyone carbon metabolismorganoidsprotein arginine methyltransferasesyeast

Identifiers

PMID35475236
PMCPMC9017121
OpenAlexW3177305518

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.