ArticleScientific data2020
A multi-omics dataset of heat-shock response in the yeast RNA binding protein Mip6.
Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 19 citations in OpenAlex.
- Metabolic Reprogramming During Heat Stress and Short-Term Recovery inJournal of fungi (Basel, Switzerland) · 2026Article
- Dynamic sumoylation is essential in yeast for suppressing stress-induced gene expression in non-stress conditions.Nucleic acids research · 2026Article
- Transcriptional memory dampens heat shock responses in yeast: functional role of Mip6 and its interaction with Rpd3.G3 (Bethesda, Md.) · 2025Article
- Decoding functional proteome information in model organisms using protein language models.NAR genomics and bioinformatics · 2024Article
- BRANEnet: embedding multilayer networks for omics data integration.BMC bioinformatics · 2022Article
- Diversification of heat shock transcription factors expanded thermal stress responses during early plant evolution.The Plant cell · 2022Article
- Effect of overexpression of SNF1 on the transcriptional and metabolic landscape of baker's yeast under freezing stress.Microbial cell factories · 2021Article
- A multi-omics dataset of heat-shock response in the yeast RNA binding protein Mip6.Scientific data · 2020Article
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
Gene expression is a biological process regulated at different molecular levels, including chromatin accessibility, transcription, and RNA maturation and transport. In addition, these regulatory mechanisms have strong links with cellular metabolism. Here we present a multi-omics dataset that captures different aspects of this multi-layered process in yeast. We obtained RNA-seq, metabolomics, and H4K12ac ChIP-seq data for wild-type and mip6Δ strains during a heat-shock time course. Mip6 is an RNA-binding protein that contributes to RNA export during environmental stress and is informative of the contribution of post-transcriptional regulation to control cellular adaptations to environmental changes. The experiment was performed in quadruplicate, and the different omics measurements were obtained from the same biological samples, which facilitates the integration and analysis of data using covariance-based methods. We validate our dataset by showing that ChIP-seq, RNA-seq and metabolomics signals recapitulate existing knowledge about the response of ribosomal genes and the contribution of trehalose metabolism to heat stress. Raw data, processed data and preprocessing scripts are made available.
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