Evidence map›Paper›PMID 34887567›Full record

ArticleNature structural & molecular biology2021

Decoupling of degradation from deadenylation reshapes poly(A) tail length in yeast meiosis.

David Wiener, Yaron Antebi, Schraga Schwartz

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Article in Nature structural & molecular biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
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

9 citing papers in PubMed, 15 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

David WienerDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.
Yaron AntebiDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel. ayaron@weizmann.ac.il.ORCID http://orcid.org/0000-0002-5771-6814
Schraga SchwartzDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel. schwartz@weizmann.ac.il.ORCID http://orcid.org/0000-0002-3671-9709
Weizmann Institute of Science · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nascent messenger RNA is endowed with a poly(A) tail that is subject to gradual deadenylation and subsequent degradation in the cytoplasm. Deadenylation and degradation rates are typically correlated, rendering it difficult to dissect the determinants governing each of these processes and the mechanistic basis of their coupling. Here we developed an approach that allows systematic, robust and multiplexed quantification of poly(A) tails in Saccharomyces cerevisiae. Our results suggest that mRNA deadenylation and degradation rates are decoupled during meiosis, and that transcript length is a major determinant of deadenylation rates and a key contributor to reshaping of poly(A) tail lengths. Meiosis-specific decoupling also leads to unique positive associations between poly(A) tail length and gene expression. The decoupling is associated with a focal localization pattern of the RNA degradation factor Xrn1, and can be phenocopied by Xrn1 deletion under nonmeiotic conditions. Importantly, the association of transcript length with deadenylation rates is conserved across eukaryotes. Our study uncovers a factor that shapes deadenylation rate and reveals a unique context in which degradation is decoupled from deadenylation.

Indexed as

AdenosineExoribonucleasesGene ExpressionMeiosisPoly ARNA, FungalRNA, MessengerRNA StabilitySaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsAdenosineExoribonucleasesPoly ARNA, FungalRNA, MessengerSaccharomyces cerevisiae ProteinsXRN1 protein, S cerevisiae

Identifiers

PMID34887567
OpenAlexW4200129297

What OpenQuestion holds

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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.