Evidence map›Paper›PMID 34557518›Full record

ArticleFrontiers in molecular biosciences2021

Systematic Analysis of the Impact of R-Methylation on RBPs-RNA Interactions: A Proteomic Approach.

Marianna Maniaci, Francesca Ludovica Boffo, Enrico Massignani, Tiziana Bonaldi

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. LC-MS profiling ofbioRxiv : the preprint server for biology · 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

4 authors.

Marianna ManiaciLaboratory of Nuclear Proteomics to Study Gene Expression Regulation in Cancer, European Institute of Oncology (IEO) IRCSS, Department of Experimental Oncology (DEO), Milan, Italy.
Francesca Ludovica BoffoLaboratory of Nuclear Proteomics to Study Gene Expression Regulation in Cancer, European Institute of Oncology (IEO) IRCSS, Department of Experimental Oncology (DEO), Milan, Italy.
Enrico MassignaniLaboratory of Nuclear Proteomics to Study Gene Expression Regulation in Cancer, European Institute of Oncology (IEO) IRCSS, Department of Experimental Oncology (DEO), Milan, Italy.
Tiziana BonaldiLaboratory of Nuclear Proteomics to Study Gene Expression Regulation in Cancer, European Institute of Oncology (IEO) IRCSS, Department of Experimental Oncology (DEO), Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA binding proteins (RBPs) bind RNAs through specific RNA-binding domains, generating multi-molecular complexes known as ribonucleoproteins (RNPs). Various post-translational modifications (PTMs) have been described to regulate RBP structure, subcellular localization, and interactions with other proteins or RNAs. Recent proteome-wide experiments showed that RBPs are the most representative group within the class of arginine (R)-methylated proteins. Moreover, emerging evidence suggests that this modification plays a role in the regulation of RBP-RNA interactions. Nevertheless, a systematic analysis of how changes in protein-R-methylation can affect globally RBPs-RNA interactions is still missing. We describe here a quantitative proteomics approach to profile global changes of RBP-RNA interactions upon the modulation of type I and II protein arginine methyltransferases (PRMTs). By coupling the recently described Orthogonal Organic Phase Separation (OOPS) strategy with the Stable Isotope Labelling with Amino acids in Cell culture (SILAC) and pharmacological modulation of PRMTs, we profiled RNA-protein interaction dynamics in dependence of protein-R-methylation. Data are available via ProteomeXchange with identifier PXD024601.

Indexed as

mass spectrometryOOPSPRMTsprotein-R-methylationproteomicsPTMsRBPsSILAC

Identifiers

PMID34557518
PMCPMC8454774

What Socratic holds

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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.