Evidence map›Paper›PMID 29078371›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Numerous interactions act redundantly to assemble a tunable size of P bodies in

Bhalchandra S Rao, Roy Parker

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

59 citing papers in PubMed, 96 citations in OpenAlex.

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  7. Roles of P-body factors inbioRxiv : the preprint server for biology · 2025
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  18. Quantitative reconstitution of yeast RNA processing bodies.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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

2 authors at 1 institution in 1 country.

Bhalchandra S RaoDepartment of Chemistry and Biochemistry, University of Colorado Boulder, Boulder, CO 80309-0596.
Roy ParkerDepartment of Chemistry and Biochemistry, University of Colorado Boulder, Boulder, CO 80309-0596; roy.parker@colorado.edu.
Howard Hughes Medical Institute · US

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Eukaryotic cells contain multiple RNA-protein assemblies referred to as RNP granules, which are thought to form through multiple protein-protein interactions analogous to a liquid-liquid phase separation. One class of RNP granules consists of P bodies, which consist of nontranslating mRNAs and the general translation repression and mRNA degradation machinery. P bodies have been suggested to form predominantly through interactions of Edc3 and a prion-like domain on Lsm4. In this work, we provide evidence that P-body assembly can be driven by multiple different protein-protein and/or protein-RNA interactions, including interactions involving Dhh1, Psp2, and Pby1. Moreover, the relative importance of specific interactions can vary with different growth conditions. Based on these observations, we develop a summative model wherein the P-body assembly phenotype of a given mutant can be predicted from the number of currently known protein-protein interactions between P-body components.

Indexed as

Cytoplasmic GranulesEukaryotic CellsProtein BiosynthesisProtein Interaction MapsRNA-Binding ProteinsRNA, MessengerRNA StabilitySaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsVault Ribonucleoprotein ParticlesRNA-Binding ProteinsRNA, MessengerSaccharomyces cerevisiae ProteinsVault Ribonucleoprotein ParticlesmRNA decayP bodiesRNP granules

Identifiers

PMID29078371
PMCPMC5692575
OpenAlexW2765664383

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.