Evidence map›Paper›PMID 40530697›Full record

ArticleNucleic acids research2025

A highly sensitive protein-RNA cross-linking mass spectrometry workflow with enhanced structural modeling potential.

Chris P Sarnowski, Anna Knörlein, Tebbe de Vries, Michael Götze, Irene Beusch, Ruedi Aebersold, Frédéric H-T Allain, Jonathan Hall, Alexander Leitner

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Chris P SarnowskiInstitute of Molecular Systems Biology, Department of Biology, ETH Zürich, 8093 Zurich, Switzerland.
Anna KnörleinInstitute of Pharmaceutical Sciences, Department of Chemistry and Applied Biosciences, ETH Zürich, 8093 Zurich, Switzerland.
Tebbe de VriesInstitute of Biochemistry, Department of Biology, ETH Zürich, 8093 Zurich, Switzerland.
Michael GötzeInstitute of Molecular Systems Biology, Department of Biology, ETH Zürich, 8093 Zurich, Switzerland.
Irene BeuschInstitute of Biochemistry, Department of Biology, ETH Zürich, 8093 Zurich, Switzerland.ORCID 0000-0001-7758-4348
Ruedi AebersoldInstitute of Molecular Systems Biology, Department of Biology, ETH Zürich, 8093 Zurich, Switzerland.
Frédéric H-T AllainInstitute of Biochemistry, Department of Biology, ETH Zürich, 8093 Zurich, Switzerland.ORCID 0000-0002-2131-6237
Jonathan HallInstitute of Pharmaceutical Sciences, Department of Chemistry and Applied Biosciences, ETH Zürich, 8093 Zurich, Switzerland.ORCID 0000-0003-4160-7135
Alexander LeitnerInstitute of Molecular Systems Biology, Department of Biology, ETH Zürich, 8093 Zurich, Switzerland.ORCID 0000-0003-4126-0725

Funding

ETH Scientific Equipment program and the European Union FP7-JTI 115766ETH Zürich ETH-24 16-2European Research Council ERC-20140 AdG 670821Strategic Focus Area for the ETH Domain "Personalized Health and Related Technologies" PHRT-503Swiss National Science FoundationSwiss National Science Foundation 51NF40-182880
6 · The paper itself

Abstract

Protein-RNA interactions underpin many critical biological processes, demanding the development of technologies to precisely characterize their nature and functions. Many such technologies depend upon cross-linking under mild irradiation conditions to stabilize contacts between amino acids and nucleobases; for example, the cross-linking of stable isotope labelled RNA coupled to mass spectrometry (CLIR-MS) method. A deeper understanding of the CLIR-MS workflow is required to maximize its impact for structural biology, particularly addressing the low abundance of cross-linking products and the information content of spatial/geometric restraints reflected by a cross-link. Here, we present a vastly improved CLIR-MS pipeline that features enhanced sample preparation, data acquisition and interpretation. These advances significantly increase the number of detected cross-link products per sample. We demonstrate that the procedure is robust against variation of key experimental parameters, including irradiation energy and temperature. Using this improved protocol on four protein-RNA complexes representing canonical and non-canonical RNA-binding domains, we propose for the first time the distances encoded by protein-RNA cross-links, enabling their use as structural restraints. We also compared the cross-linking of canonical RNA with 4-thiouracil-labeled counterparts, showing slight, but noticeable differences. The improved understanding of protein-RNA cross-links refines their structural interpretation and facilitates the adoption of the method in integrative/hybrid structural biology.

Indexed as

Mass SpectrometryRNARNA-Binding ProteinsCross-Linking ReagentsModels, MolecularNucleic Acid ConformationWorkflowCross-Linking ReagentsRNARNA-Binding Proteins

Identifiers

PMID40530697
PMCPMC12203917

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

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.