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.
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.
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10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Multi-omics time-series analysis in microbiome research: a systematic review.Briefings in bioinformatics · 2025Pooled it
- Metabolite accumulation mediates the shift between the High Oxygen Consumption and Low Oxygen Consumption phases in the Yeast Metabolic Cycle.bioRxiv : the preprint server for biology · 2025Article
- Refined mechanism of promoter nucleosome-depleted regions resetting after replication.Nucleic acids research · 2025Article
- A four eigen-phase model of multi-omics unveils new insights into yeast metabolic cycle.NAR genomics and bioinformatics · 2025Article
- Dynamic metabolic regulation of histone modifications during the yeast metabolic cycle.PloS one · 2025Article
- SAGA Complex Subunit Hfi1 Is Important in the Stress Response and Pathogenesis ofJournal of fungi (Basel, Switzerland) · 2023Article
- Transcriptome Analysis and Intraspecific Variation in Spanish Fir (International journal of molecular sciences · 2022Article
- Adaptive Response ofJournal of fungi (Basel, Switzerland) · 2022Article
- TheFrontiers in microbiology · 2022Article
- Focus-ING on DNA Integrity: Implication of ING Proteins in Cell Cycle Regulation and DNA Repair Modulation.Cancers · 2019Review
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Authors and funding
7 authors at 4 institutions in 3 countries.
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No grant is acknowledged in the PubMed record.
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.
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