Evidence map›Paper›PMID 42861938›Full record

ReviewRNA biology2026

Stress granules at the crossroads of the proteostasis network.

Rachel Kim, Erika N Calle Urgiles, Stephanie L Moon

Abstract readReview
In one paragraph

Review in RNA biology, 2026. 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

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.

Rachel KimCenter for RNA Biomedicine and Department of Biological Chemistry, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-2438-805X
Erika N Calle UrgilesCenter for RNA Biomedicine and Department of Biological Chemistry, University of Michigan, Ann Arbor, MI, USA.ORCID 0009-0008-2980-974X
Stephanie L MoonCenter for RNA Biomedicine and Department of Biological Chemistry, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-4989-0150

Funding

Michigan Medical Scientist Training Program 2025-2030T32GM156550 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Kathleen L. Collins · 2025 to 2026
$3.2M
NIGMS NIH HHS T32 GM156550
6 · The paper itself

Abstract

The proteostasis network maintains cell function by safeguarding the proteome through the coordinated actions of protein synthesis, quality control, and degradation machinery including chaperones and the ubiquitin-proteasome system. Proteostasis collapse and activation of the integrated stress response (ISR) occur in ageing and neurodegeneration. Upon proteotoxic stress, translation suppression during the ISR drives the assembly of non-translating mRNAs into biomolecular condensates called stress granules. Stress granules act as a double-edged sword in the proteostasis network, serving beneficial or detrimental roles through their effects on translation, protein quality control, and protein aggregation. In this review, we discuss how protein synthesis, quality control, and degradation factors regulate stress granule dynamics, and conversely how stress granules impact proteostasis. While stress granules may initially protect cells by sequestering misfolded, aggregation-prone proteins and regulating translation, they may evolve into sites of pathological aggregation. Clarifying these intersections may reveal therapeutic strategies for neurodegeneration and other disease processes.

Indexed as

ProteostasisStress GranulesAnimalsHumansIntegrated Stress ResponseProtein BiosynthesisProteolysisProteotoxic Stressintegrated stress responseprotein quality controlProteostasisstress granulestranslation

Identifiers

PMID42861938
PMCPMC13671433

What Socratic 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 Socratic graph.