Evidence map›Paper›PMID 38915483›Full record

ArticlebioRxiv : the preprint server for biology2024

Molecular insights into the interaction between a disordered protein and a folded RNA.

Rishav Mitra, Emery T Usher, Selin Dedeoğlu, Matthew J Crotteau, Olivia A Fraser, Neela H Yennawar, Varun V Gadkari, Brandon T Ruotolo, Alex S Holehouse, Loïc Salmon and 2 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Rishav MitraHoward Hughes Medical Institute, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0002-8898-7289
Emery T UsherDepartment of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-8303-9992
Selin DedeoğluCentre de Résonance Magnétique Nucléaire à Très Hauts Champs, (CRMN), UMR 5082, CNRS, ENS Lyon, UCBL, Université de Lyon, 69100 Villeurbanne, France.
Matthew J CrotteauHoward Hughes Medical Institute, University of Michigan, Ann Arbor, MI 48109, USA.
Olivia A FraserCenter for Eukaryotic Gene Regulation, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA.
Neela H YennawarThe Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA.
Varun V GadkariDepartment of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0001-6145-3773
Brandon T RuotoloDepartment of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0002-6084-2328
Alex S HolehouseDepartment of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-4155-5729
Loïc SalmonCentre de Résonance Magnétique Nucléaire à Très Hauts Champs, (CRMN), UMR 5082, CNRS, ENS Lyon, UCBL, Université de Lyon, 69100 Villeurbanne, France.
Scott A ShowalterCenter for Eukaryotic Gene Regulation, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0001-5179-032X
James C A BardwellHoward Hughes Medical Institute, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0003-1683-1944

Funding

Structure and Mechanism of Transcription Factors in Pancreatic Beta CellsR01DK121509 · NIDDK · PENNSYLVANIA STATE UNIVERSITY, THE · PI SHOWALTER, SCOTT A · 2019 to 2021
$1.2M
X-ray instrumentation upgrade for single crystal diffraction and solution small angle scatteringS10OD028589 · OD · PENNSYLVANIA STATE UNIVERSITY, THE · PI YENNAWAR, NEELA H. · 2020 to 2020
$600k
Wyatt SEC-MALS systemS10OD030490 · OD · PENNSYLVANIA STATE UNIVERSITY, THE · PI YENNAWAR, NEELA H. · 2021 to 2021
$273k
NIDDK NIH HHS R01 DK121509NIH HHS S10 OD028589NIH HHS S10 OD030490
6 · The paper itself

Abstract

Intrinsically disordered protein regions (IDRs) are well-established as contributors to intermolecular interactions and the formation of biomolecular condensates. In particular, RNA-binding proteins (RBPs) often harbor IDRs in addition to folded RNA-binding domains that contribute to RBP function. To understand the dynamic interactions of an IDR-RNA complex, we characterized the RNA-binding features of a small (68 residues), positively charged IDR-containing protein, SERF. At high concentrations, SERF and RNA undergo charge-driven associative phase separation to form a protein- and RNA-rich dense phase. A key advantage of this model system is that this threshold for demixing is sufficiently high that we could use solution-state biophysical methods to interrogate the stoichiometric complexes of SERF with RNA in the one-phase regime. Herein, we describe our comprehensive characterization of SERF alone and in complex with a small fragment of the HIV-1 TAR RNA (TAR) with complementary biophysical methods and molecular simulations. We find that this binding event is not accompanied by the acquisition of structure by either molecule; however, we see evidence for a modest global compaction of the SERF ensemble when bound to RNA. This behavior likely reflects attenuated charge repulsion within SERF via binding to the polyanionic RNA and provides a rationale for the higher-order assembly of SERF in the context of RNA. We envision that the SERF-RNA system will lower the barrier to accessing the details that support IDR-RNA interactions and likewise deepen our understanding of the role of IDR-RNA contacts in complex formation and liquid-liquid phase separation.

Indexed as

condensateintrinsically disordered regions (IDRs)nuclear magnetic resonance (NMR)phase separationRNA-binding proteinRNA-protein complex

Identifiers

PMID38915483
PMCPMC11195163

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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.