<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Liebau J</submitter><funding>EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Marie Skłodowska-Curie Actions (H2020 Excellent Science - Marie Skłodowska-Curie Actions)</funding><funding>Deutsche Forschungsgemeinschaft (German Research Foundation)</funding><funding>EC | 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))</funding><pagination>7896</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12375074</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>16(1)</volume><pubmed_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.</pubmed_abstract><journal>Nature communications</journal><pubmed_title>4D structural biology-quantitative dynamics in the eukaryotic RNA exosome complex.</pubmed_title><pmcid>PMC12375074</pmcid><funding_grant_id>FP7/2007- 2013), ERC grant agreement No. 616052</funding_grant_id><funding_grant_id>grant agreement No. 89550</funding_grant_id><funding_grant_id>SP 1324/3-1</funding_grant_id><pubmed_authors>Lazzaretti D</pubmed_authors><pubmed_authors>Liebau J</pubmed_authors><pubmed_authors>Furtges T</pubmed_authors><pubmed_authors>Sprangers R</pubmed_authors><pubmed_authors>Bichler A</pubmed_authors><pubmed_authors>Pilsl M</pubmed_authors><pubmed_authors>Rudack T</pubmed_authors></additional><is_claimable>false</is_claimable><name>4D structural biology-quantitative dynamics in the eukaryotic RNA exosome complex.</name><description>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.</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Aug</publication><modification>2026-05-10T01:49:32.67Z</modification><creation>2026-04-08T01:25:16.163Z</creation></dates><accession>S-EPMC12375074</accession><cross_references><pubmed>40849410</pubmed><doi>10.1038/s41467-025-62982-6</doi></cross_references></HashMap>