Evidence map›Paper›PMID 40392806›Full record

ArticlePloS one2025

Dynamic metabolic regulation of histone modifications during the yeast metabolic cycle.

Bárbara Guzmán-Dinamarca, Raúl Conejeros, Marcelo Rivas-Astroza

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

3 authors.

Bárbara Guzmán-DinamarcaUniversidad Tecnológica Metropolitana, Departamento de Biotecnología, Santiago, Chile.ORCID https://orcid.org/0009-0008-7776-6959
Raúl ConejerosPontificia Universidad Católica de Valparaíso, Escuela de Ingeniería Bioquímica, Valparaíso, Chile.ORCID https://orcid.org/0000-0002-1273-535X
Marcelo Rivas-AstrozaUniversidad Tecnológica Metropolitana, Departamento de Biotecnología, Santiago, Chile.ORCID https://orcid.org/0000-0003-1809-3922

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eukaryotes achieve a wide range of stable phenotypes by virtue of epigenetic modifications. However, what drives epigenetic diversification in the first place remains an open question. Here, we investigated the dynamic interplay between the production fluxes of epigenetic cosubstrates and histone post-translation modifications (PTMs) in Saccharomyces cerevisiae's Yeast Metabolic Cycle (YMC). We developed a novel approach integrating flux analysis with transcriptomic data to investigate the production fluxes of acetyl-CoA and SAM and their influence on histone marks H3K9Ac and H3K4me3. Our results show that acetyl-CoA and SAM flux dynamics are asynchronous during the YMC, suggesting distinct regulatory roles. Gene ontology analysis revealed that genes whose enrichment of H3K9Ac correlates with acetyl-CoA dynamics are associated with metabolic functions, while genes whose enrichment of H3K4me3 correlates with SAM dynamics are associated with translation processes. Finally, we found evidence that chromatin accessibility on genes promoter regions was a precondition for the metabolic fluxes influencing the enrichment of H3K4me3 and H3K9Ac. These findings support the concept that metabolism provides timely cosubstrates essential for histone PTMs.

Indexed as

Histone CodeHistonesSaccharomyces cerevisiaeAcetyl Coenzyme AChromatinEpigenesis, GeneticGene Expression Regulation, FungalProtein Processing, Post-TranslationalSaccharomyces cerevisiae ProteinsS-AdenosylmethionineAcetyl Coenzyme AChromatinHistonesSaccharomyces cerevisiae ProteinsS-Adenosylmethionine

Identifiers

PMID40392806
PMCPMC12091797

What OpenQuestion holds

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LicenceCC BY
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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.