Evidence map›Paper›PMID 40849410›Full record

ArticleNature communications2025

4D structural biology-quantitative dynamics in the eukaryotic RNA exosome complex.

Jobst Liebau, Daniela Lazzaretti, Torben Fürtges, Anna Bichler, Michael Pilsl, Till Rudack, Remco Sprangers

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Journal of molecular biology · 2026
    Article
  2. 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

7 authors.

Jobst LiebauDepartment of Biophysics I, Regensburg Center for Biochemistry, University of Regensburg, Universitätsstraße 31, Regensburg, Germany. jobst.liebau@ur.de.ORCID http://orcid.org/0000-0003-4057-6699
Daniela LazzarettiDepartment of Biophysics I, Regensburg Center for Biochemistry, University of Regensburg, Universitätsstraße 31, Regensburg, Germany. daniela.lazzaretti@ur.de.ORCID http://orcid.org/0000-0002-5372-9343
Torben FürtgesStructural Bioinformatics Group, Regensburg Center for Biochemistry, University of Regensburg, Universitätsstraße 31, Regensburg, Germany.ORCID http://orcid.org/0000-0002-2576-4571
Anna BichlerDepartment of Biophysics I, Regensburg Center for Biochemistry, University of Regensburg, Universitätsstraße 31, Regensburg, Germany.ORCID http://orcid.org/0009-0009-9983-1480
Michael PilslStructural Biochemistry Group, Regensburg Center for Biochemistry, University of Regensburg, Universitätsstraße 31, Regensburg, Germany.ORCID http://orcid.org/0000-0002-5993-4735
Till RudackStructural Bioinformatics Group, Regensburg Center for Biochemistry, University of Regensburg, Universitätsstraße 31, Regensburg, Germany. till.rudack@ur.de.
Remco SprangersDepartment of Biophysics I, Regensburg Center for Biochemistry, University of Regensburg, Universitätsstraße 31, Regensburg, Germany. remco.sprangers@ur.de.ORCID http://orcid.org/0000-0001-7323-6047

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) SP 1324/3-1EC | EC Seventh Framework Programm | FP7 Ideas: European Research Council (FP7-IDEAS-ERC - Specific Programme: "Ideas"; Implementing the Seventh Framework Programme of the European Community for Research, Technological Development and Demonstration Activities (2007 to 2013)) FP7/2007- 2013), ERC grant agreement No. 616052EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Marie Skłodowska-Curie Actions (H2020 Excellent Science - Marie Skłodowska-Curie Actions) grant agreement No. 89550
6 · The paper itself

Abstract

Molecular machines play pivotal roles in all biological processes. Most structural methods, however, are unable to directly probe molecular motions. Here, we demonstrate that dedicated NMR experiments can provide quantitative insights into functionally important dynamic regions in very large asymmetric protein complexes. We establish this for the 410 kDa eukaryotic RNA exosome complex that contains ten distinct protein chains. Methyl-group and fluorine NMR experiments reveal site-specific interactions among subunits and with an RNA substrate. Furthermore, we extract quantitative insights into conformational changes within the complex in response to substrate and subunit binding for regions that are invisible in static cryo-EM and crystal structures. In particular, we identify a flexible plug region that can block an aberrant route for RNA towards the active site. Based on molecular dynamics simulations and NMR data, we provide a model that shows how the flexible plug is structured in the open and closed conformations. Our work thus demonstrates that a combination of state-of-the-art structural biology methods can provide quantitative insights into large molecular machines that go significantly beyond the well-resolved and static images of biomolecular complexes, thereby adding the time domain to structural biology.

Indexed as

Exosome Multienzyme Ribonuclease ComplexExosomesSaccharomyces cerevisiae ProteinsCryoelectron MicroscopyCrystallography, X-RayMagnetic Resonance SpectroscopyMolecular Dynamics SimulationProtein BindingProtein ConformationRNASaccharomyces cerevisiaeExosome Multienzyme Ribonuclease ComplexRNASaccharomyces cerevisiae Proteins

Identifiers

PMID40849410
PMCPMC12375074

What OpenQuestion 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 OpenQuestion graph.