Evidence map›Paper›PMID 40045784›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2025

Ribosome-associated proteins: unwRAPping ribosome heterogeneity in the twenty-first century.

Kitra Cates, Victoria Hung, Maria Barna

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. RiboScreenBiomedicines · 2026
    Review
  2. Article
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.

Kitra Cates *Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0001-7716-153X
Victoria Hung *Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0003-3972-2820
Maria BarnaDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0002-6843-4396

Funding

National Institute of Child Health and Human DevelopmentNIMH NIH HHS
6 · The paper itself

Abstract

The definition of the ribosome as the monolithic machinery in cells that synthesizes all proteins in the cell has persisted for the better part of a century. Yet, research has increasingly revealed that ribosomes are dynamic, multimodal complexes capable of fine-tuning gene expression. This translation regulation may be achieved by ribosome-associated proteins (RAPs), which play key roles as modular trans-acting factors that are dynamic across different cellular contexts and can mediate the recruitment of specific transcripts or the modification of RNA or ribosomal proteins. As a result, RAPs have the potential to rapidly regulate translation within specific subcellular regions, across different cell or tissue types, in response to signalling, or in disease states. In this article, we probe the definition of the eukaryotic ribosome and review the major layers of additional proteins that expand the definition of ribosomes in the twenty-first century. We pose RAPs as key modulators that impart ribosome function in cellular processes, development and disease.This article is part of the discussion meeting issue 'Ribosome diversity and its impact on protein synthesis, development and disease'.

Indexed as

Gene Expression RegulationProtein BiosynthesisRibosomal ProteinsRibosomesAnimalsHumansRibosomal Proteinspost-translational modificationsribosomal RNAribosome-associated proteinsribosome heterogeneitytranslation regulation

Identifiers

PMID40045784
PMCPMC11883435

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.