Evidence map›Paper›PMID 32553117›Full record

ArticleeLife2020

A quantitative inventory of yeast P body proteins reveals principles of composition and specificity.

Wenmin Xing, Denise Muhlrad, Roy Parker, Michael K Rosen

Open access · goldAbstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed
8.6field-weighted citation impact, top 1% 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

92 citing papers in PubMed, 159 citations in OpenAlex.

  1. Article
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  4. Fusion protein condensate formation via coiled-coil domains.Protein science : a publication of the Protein Society · 2026
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32 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 1 country.

Wenmin XingDepartment of Biophysics, Howard Hughes Medical Institute, UT Southwestern Medical Center, Dallas, United States.ORCID 0000-0001-6445-0615
Denise MuhlradDepartment of Biochemistry, Howard Hughes Medical Institute, University of Colorado, Boulder, United States.
Roy ParkerDepartment of Biochemistry, Howard Hughes Medical Institute, University of Colorado, Boulder, United States.ORCID 0000-0002-8412-4152
Michael K RosenDepartment of Biophysics, Howard Hughes Medical Institute, UT Southwestern Medical Center, Dallas, United States.ORCID 0000-0002-0775-7917
Howard Hughes Medical Institute · US

Funding

Howard Hughes Medical InstituteWelch Foundation I-1544
6 · The paper itself

Abstract

P bodies are archetypal biomolecular condensates that concentrate proteins and RNA without a surrounding membrane. While dozens of P body proteins are known, the concentrations of components in the compartment have not been measured. We used live cell imaging to generate a quantitative inventory of the major proteins in yeast P bodies. Only seven proteins are highly concentrated in P bodies (5.1-15µM); the 24 others examined are appreciably lower (most ≤ 2.6µM). P body concentration correlates inversely with cytoplasmic exchange rate. Sequence elements driving Dcp2 concentration into P bodies are distributed across the protein and act synergistically. Our data indicate that P bodies, and probably other condensates, are compositionally simpler than suggested by proteomic analyses, with implications for specificity, reconstitution and evolution.

Indexed as

CytoplasmGreen Fluorescent ProteinsMicroscopy, ConfocalRibonucleoproteinsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsGreen Fluorescent ProteinsRibonucleoproteinsSaccharomyces cerevisiae Proteinsbiomolecular condensatecell biologycompositionP bodyquantitative microscopyS. cerevisiae

Identifiers

PMID32553117
PMCPMC7373430
OpenAlexW3036288316

What OpenQuestion holds

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LicenceCC BY
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.