Evidence map›Paper›PMID 30555512›Full record

ArticleFrontiers in genetics2018

Elucidating the Role of Chromatin State and Transcription Factors on the Regulation of the Yeast Metabolic Cycle: A Multi-Omic Integrative Approach.

Víctor Sánchez-Gaya, Salvador Casaní-Galdón, Manuel Ugidos, Zheng Kuang, Jane Mellor, Ana Conesa, Sonia Tarazona

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 38% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  7. Transcriptome Analysis and Intraspecific Variation in Spanish Fir (International journal of molecular sciences · 2022
    Article
  8. Adaptive Response ofJournal of fungi (Basel, Switzerland) · 2022
    Article
  9. TheFrontiers in microbiology · 2022
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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

7 authors at 4 institutions in 3 countries.

Víctor Sánchez-GayaGenomics of Gene Expression Laboratory Centro de Investigación Príncipe Felipe, Valencia, Spain.
Salvador Casaní-GaldónBioBam Bioinformatics S.L., Valencia, Spain.
Manuel UgidosGenomics of Gene Expression Laboratory Centro de Investigación Príncipe Felipe, Valencia, Spain.
Zheng KuangInstitute for Systems Genetics, NYU Langone Health, New York, NY, United States.
Jane MellorDepartment of Biochemistry University of Oxford, Oxford, United Kingdom.
Ana ConesaBioBam Bioinformatics S.L., Valencia, Spain.
Sonia TarazonaGenomics of Gene Expression Laboratory Centro de Investigación Príncipe Felipe, Valencia, Spain.
Centro de Investigacion Principe Felipe · ESUniversitat Politècnica de València · ESUniversity of Florida · USUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Yeast Metabolic Cycle (YMC) is a model system in which levels of around 60% of the yeast transcripts cycle over time. The spatial and temporal resolution provided by the YMC has revealed that changes in the yeast metabolic landscape and chromatin status can be related to cycling gene expression. However, the interplay between histone modifications and transcription factor activity during the YMC is still poorly understood. Here we apply an innovative statistical approach to integrate chromatin state (ChIP-seq) and gene expression (RNA-seq) data to investigate the transcriptional control during the YMC. By using the multivariate regression models N-PLS (Partial Least Squares) and MORE (Multi-Omics REgulation) methodologies, we assessed the contribution of histone marks and transcription factors to the regulation of gene expression in the YMC. We found that H3K18ac and H3K9ac were the most important histone modifications, whereas Sfp1, Hfi1, Pip2, Mig2, and Yhp1 emerged as the most relevant transcription factors. A significant association in the co-regulation of gene expression was found between H3K18ac and the transcription factors Pip2 (involved in fatty acids metabolism), Xbp1 (cyclin implicated in the regulation of carbohydrate and amino acid metabolism), and Hfi1 (involved in the formation of the SAGA complex). These results evidence the crucial role of histone lysine acetylation levels in the regulation of gene expression in the YMC through the coordinated action of transcription factors and lysine acetyltransferases.

Indexed as

gene expressionhistone modificationsomics integrationregressionYMC

Identifiers

PMID30555512
PMCPMC6284056
OpenAlexW2903552683

What OpenQuestion holds

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LicenceCC BY
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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.