Evidence map›Paper›PMID 40832349›Full record

ArticlebioRxiv : the preprint server for biology2025

Mapping of in vivo cleavage sites uncovers a major role for yeast RNase III in regulating protein-coding genes.

Lee-Ann Notice-Sarpaning, Mathieu Catala, Catherine Stuart, Sherif Abou Elela, Ambro van Hoof

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 authors.

Lee-Ann Notice-SarpaningDepartment of Microbiology and Molecular Genetics, University of Texas Health Science Center at Houston.
Mathieu CatalaDépartement de Microbiologie et d'Infectiologie. Université de Sherbrooke.
Catherine StuartDepartment of Microbiology and Molecular Genetics, University of Texas Health Science Center at Houston.ORCID 0009-0003-2336-2661
Sherif Abou ElelaDépartement de Microbiologie et d'Infectiologie. Université de Sherbrooke.
Ambro van HoofDepartment of Microbiology and Molecular Genetics, University of Texas Health Science Center at Houston.ORCID 0000-0002-7800-9764

Funding

RNAse functions in post-transcriptional gene regulationR35GM141710 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI VAN HOOF, AMBRO · 2021 to 2025
$2.4M
The Roles of Rnt1 and Putative Endoribonucleases in mRNA Processing and DegradationF31GM149143 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI NOTICE-SARPANING, LEE-ANN · 2023 to 2025
$107k
NIGMS NIH HHS F31 GM149143NIGMS NIH HHS R35 GM141710
6 · The paper itself

Abstract

A large fraction of newly transcribed RNA is degraded in the nucleus, but nuclear mRNA degradation pathways remain largely understudied. The yeast nuclear endoribonuclease Rnt1 has a well-characterized role in the maturation of many ncRNA precursors. However, the scope and consequence of its function in mRNA degradation pathways is much less defined. Here, we take a whole-transcriptome approach to identify Rnt1 cleavage sites throughout the yeast transcriptome in vivo, at single-nucleotide resolution. We discover previously unknown Rnt1 cleavage sites in many protein-coding regions and find that the sequences and structures necessary for cleavage mirror those required for the cleavage of known targets. We show that the nuclear localization of Rnt1 functions as an additional layer of target selection control and that cleaved mRNAs are likely exported to the cytoplasm to be degraded by Xrn1. Further, we find that several cleavage products are much more abundant in our degradome sequencing libraries than decapping products, and strikingly, mutations in one Rnt1 target,

Identifiers

PMID40832349
PMCPMC12363893

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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.