Evidence map›Paper›PMID 39305233›Full record

ArticleBiochemistry2024

Human CSTF2 RNA Recognition Motif Domain Binds to a U-Rich RNA Sequence through a Multistep Binding Process.

Elahe Masoumzadeh, Michael P Latham

Abstract read
In one paragraph

Article in Biochemistry, 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

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

2 authors.

Elahe MasoumzadehDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas 79409, United States.
Michael P LathamDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas 79409, United States.ORCID 0000-0002-2209-5798

Funding

Structural Biology Studies of a Large DNA Repair ComplexR35GM128906 · NIGMS · UNIVERSITY OF MINNESOTA · PI Michael Parker Latham · 2018 to 2026
$3.1M
NIGMS NIH HHS R35 GM128906
6 · The paper itself

Abstract

The RNA recognition motif (RRM) is a conserved and ubiquitous RNA-binding domain that plays essential roles in mRNA splicing, polyadenylation, transport, and stability. RRM domains exhibit remarkable diversity in binding partners, interacting with various sequences of single- and double-stranded RNA, despite their small size and compact fold. During pre-mRNA cleavage and polyadenylation, the RRM domain from CSTF2 recognizes U- or G/U-rich RNA sequences downstream from the cleavage and polyadenylation site to regulate the process. Given the importance of alternative cleavage and polyadenylation in increasing the diversity of mRNAs, the exact mechanism of binding of RNA to the RRM of CSTF2 remains unclear, particularly in the absence of a structure of this RRM bound to a native RNA substrate. Here, we performed a series of NMR titration and spin relaxation experiments, which were complemented by paramagnetic relaxation enhancement measurements and rigid-body docking, to characterize the interactions of the CSTF2 RRM with a U-rich ligand. Our results reveal a multistep binding process involving differences in ps-ns time scale dynamics and potential structural changes, particularly in the C-terminalα-helix. These results provide insights into how the CSTF2 RRM domain binds to U-rich RNA ligands and offer a greater understanding for the molecular basis of the regulation of pre-mRNA cleavage and polyadenylation.

Indexed as

Cleavage Stimulation FactorProtein BindingRNA Recognition MotifBinding SitesHumansMolecular Docking SimulationProtein DomainsRNACleavage Stimulation FactorCSTF2T protein, humanRNA

Identifiers

PMID39305233
PMCPMC11448763

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.