Evidence map›Paper›PMID 42029547›Full record

ReviewJournal of developmental biology2026

Novel Functions and Potential of Ribosomes: From Cellular Transdifferentiation to Applications in Cell-Cultured Foods.

Shota Inoue, Hiroaki Hatano, Ikko Kawashima, Kunimasa Ohta

Abstract readReview
In one paragraph

Review in Journal of developmental biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Shota InoueDepartment of Stem Cell Biology, Graduate School of Systems Life Sciences, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka 819-0395, Japan.ORCID 0009-0000-1881-8642
Hiroaki HatanoIntegriCulture, 8-1 Kawada-Cho, Shinjuku-Ku, Tokyo 162-0054, Japan.ORCID 0000-0003-1511-2964
Ikko KawashimaIntegriCulture, 8-1 Kawada-Cho, Shinjuku-Ku, Tokyo 162-0054, Japan.
Kunimasa OhtaDepartment of Stem Cell Biology, Graduate School of Systems Life Sciences, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka 819-0395, Japan.ORCID 0000-0002-4564-9757

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ribosomes are widely recognized as large intracellular macromolecular complexes responsible for protein synthesis. However, in recent years, numerous studies have revealed that ribosomal proteins possess non-canonical functions beyond translation, including roles in cell fate regulation, development, and disease. This review outlines emerging concepts surrounding the extracellular functions of ribosomes, with a particular focus on ribosome-induced cellular plasticity and transdifferentiation. Our studies have demonstrated that the incorporation of exogenous ribosomes reprograms somatic cells into a multipotent state and promotes differentiation into multiple lineages. These findings represent an alternative perspective to the conventional view of ribosomes as merely translational components. Furthermore, we discuss the biological significance of factors secreted by ribosome-incorporated cells by integrating the paracrine hypothesis with ribosome-mediated cell fate conversion. Finally, we explore the potential applications of ribosomes in regenerative medicine and cell-cultured food production. By redefining ribosomes as active regulators of cellular identity, this review provides a conceptual framework for understanding ribosome-driven cell fate regulation and its potential applications in sustainable biotechnology.

Indexed as

cell-cultured foodcell proliferationchick primary cellsribosomestransdifferentiation

Identifiers

PMID42029547
PMCPMC13108087

What OpenQuestion holds

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Registered trials

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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.