Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 516

The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.

P bodies promote stress granule assembly in Saccharomyces cerevisiae

Open access
Buchan, J. Ross, Muhlrad, Denise, Parker, Roy·2008·The Journal of Cell Biology

Abstract

Recent results indicate that nontranslating mRNAs in eukaryotic cells exist in distinct biochemical states that accumulate in P bodies and stress granules, although the nature of interactions between these particles is unknown. We demonstrate in Saccharomyces cerevisiae that RNA granules with similar protein composition and assembly mechanisms as mammalian stress granules form during glucose deprivation. Stress granule assembly is dependent on P-body formation, whereas P-body assembly is independent of stress granule formation. This suggests that stress granules primarily form from mRNPs in preexisting P bodies, which is also supported by the kinetics of P-body and stress granule formation both in yeast and mammalian cells. These observations argue that P bodies are important sites for decisions of mRNA fate and that stress granules, at least in yeast, primarily represent pools of mRNAs stalled in the process of reentry into translation from P bodies.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1083/jcb.200807043

Cites

55 of 55 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

1 retracted

Show all 55 references

Cited by

See all 516

Metadata

Authors
Buchan, J. R., Muhlrad, D., & Parker, R.
Venue
The Journal of Cell Biology
Published
2008-11-03
Volume
183
Issue
3
Pages
441-455
ISSN
  • 0021-9525 (ISSN-L)
  • 1540-8140
OpenAlex
W2116592258
Cited by
516
References
55
FWCI
11.04
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: P bodies promote stress granule assembly in Saccharomyces cerevisiae. https://app.cochat.ai/papers/10.1083/jcb.200807043
The paper
Buchan, J. R., Muhlrad, D., & Parker, R. (2008). P bodies promote stress granule assembly in Saccharomyces cerevisiae. The Journal of Cell Biology. https://doi.org/10.1083/jcb.200807043

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.