Evidence map›Paper›PMID 35134335›Full record

ArticleBiophysical journal2022

Inherent conformational plasticity in dsRBDs enables interaction with topologically distinct RNAs.

Harshad Paithankar, Guneet Singh Tarang, Firdousi Parvez, Aniket Marathe, Manali Joshi, Jeetender Chugh

Abstract read
In one paragraph

Article in Biophysical journal, 2022. 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

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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

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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

6 authors.

Harshad PaithankarDepartment of Chemistry, Indian Institute of Science Education and Research (IISER), Pune, Maharashtra, India.
Guneet Singh TarangDepartment of Biology, Indian Institute of Science Education and Research (IISER), Pune, Maharashtra, India.
Firdousi ParvezDepartment of Biology, Indian Institute of Science Education and Research (IISER), Pune, Maharashtra, India.
Aniket MaratheBioinformatics Center, Savitrabai Phule Pune University, Pune, Maharashtra, India.
Manali JoshiBioinformatics Center, Savitrabai Phule Pune University, Pune, Maharashtra, India.
Jeetender ChughDepartment of Chemistry, Indian Institute of Science Education and Research (IISER), Pune, Maharashtra, India; Department of Biology, Indian Institute of Science Education and Research (IISER), Pune, Maharashtra, India. Electronic address: cjeet@iiserpune.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many double-stranded RNA-binding domains (dsRBDs) interact with topologically distinct dsRNAs in biological pathways pivotal to viral replication, cancer causation, neurodegeneration, and so on. We hypothesized that the adaptability of dsRBDs is essential to target different dsRNA substrates. A model dsRBD and a few dsRNAs, slightly different in shape from each other, were used to test the systematic shape dependence of RNA on the dsRBD-binding using nuclear magnetic resonance (NMR) spectroscopy and molecular modeling. NMR-based titrations showed a distinct binding pattern for the dsRBD with the topologically distinct dsRNAs. The line broadening upon RNA binding was observed to cluster in the residues lying in close proximity, thereby suggesting an RNA-induced conformational exchange in the dsRBD. Further, while the intrinsic microsecond dynamics observed in the apo-dsRBD were found to quench upon binding with the dsRNA, the microsecond dynamics got induced at residues spatially proximal to quench sites upon binding with the dsRNA. This apparent relay of conformational exchange suggests the significance of intrinsic dynamics to help adapt the dsRBD to target various dsRNA-shapes. The conformational pool visualized in MD simulations for the apo-dsRBD reported here has also been observed to sample the conformations seen previously for various dsRBDs in apo- and in dsRNA-bound state structures, further suggesting the conformational adaptability of the dsRBDs. These investigations provide a dynamic basis for the substrate promiscuity for dsRBD proteins.

Indexed as

RNA, Double-StrandedModels, MolecularNucleic Acid ConformationRNA, Double-Stranded

Identifiers

PMID35134335
PMCPMC8943759

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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.