ArticleMolecular systems biology2010
Epistatic relationships reveal the functional organization of yeast transcription factors.
Article in Molecular systems biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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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.
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Who cites it
38 citing papers in PubMed, 57 citations in OpenAlex.
- Predictive models of the genetic bases underlying budding yeast fitness in multiple environments.NAR genomics and bioinformatics · 2026Article
- Predictive models of the genetic bases underlying budding yeast fitness in multiple environments.bioRxiv : the preprint server for biology · 2025Article
- Genetic architecture of ideotype-related traits in middle American beans through single trait, multi-trait and epistatic genome-wide analyses.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- The Role of Sfp1 inJournal of fungi (Basel, Switzerland) · 2022Article
- Genetic-interaction screens uncover novel biological roles and regulators of transcription factors in fission yeast.G3 (Bethesda, Md.) · 2022Article
- Partitioned usage of chromatin remodelers by nucleosome-displacing factors.Cell reports · 2022Article
- Auxotrophic and prototrophic conditional genetic networks reveal the rewiring of transcription factors in Escherichia coli.Nature communications · 2022Article
- Functional interaction between the RNA exosome and the sirtuin deacetylase Hst3 maintains transcriptional homeostasis.Genes & development · 2022Article
- Capturing hidden regulation based on noise change of gene expression level from single cell RNA-seq in yeast.Scientific reports · 2021Article
- Integration of transcription coregulator complexes with sequence-specific DNA-binding factor interactomes.Biochimica et biophysica acta. Gene regulatory mechanisms · 2021Article
- Employing Cross-Species Approaches to Construct Humanized Genetic Interaction Networks.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Slx5/Slx8-dependent ubiquitin hotspots on chromatin contribute to stress tolerance.The EMBO journal · 2019Article
- The ability of transcription factors to differentially regulate gene expression is a crucial component of the mechanism underlying inversion, a frequently observed genetic interaction pattern.PLoS computational biology · 2019Article
- Article
- Genomewide mechanisms of chronological longevity by dietary restriction in budding yeast.Aging cell · 2018Article
- The ribosome assembly gene network is controlled by the feedback regulation of transcription elongation.Nucleic acids research · 2017Article
- The mThe Journal of biological chemistry · 2017Article
- A high-resolution gene expression atlas of epistasis between gene-specific transcription factors exposes potential mechanisms for genetic interactions.BMC biology · 2015Article
- Structures and Functions of the Multiple KOW Domains of Transcription Elongation Factor Spt5.Molecular and cellular biology · 2015Article
- Data Imputation in Epistatic MAPs by Network-Guided Matrix Completion.Journal of computational biology : a journal of computational molecular cell biology · 2015Article
Corrections and comments
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Authors and funding
9 authors at 6 institutions in 4 countries.
Funding
Abstract
The regulation of gene expression is, in large part, mediated by interplay between the general transcription factors (GTFs) that function to bring about the expression of many genes and site-specific DNA-binding transcription factors (STFs). Here, quantitative genetic profiling using the epistatic miniarray profile (E-MAP) approach allowed us to measure 48 391 pairwise genetic interactions, both negative (aggravating) and positive (alleviating), between and among genes encoding STFs and GTFs in Saccharomyces cerevisiae. This allowed us to both reconstruct regulatory models for specific subsets of transcription factors and identify global epistatic patterns. Overall, there was a much stronger preference for negative relative to positive genetic interactions among STFs than there was among GTFs. Negative genetic interactions, which often identify factors working in non-essential, redundant pathways, were also enriched for pairs of STFs that co-regulate similar sets of genes. Microarray analysis demonstrated that pairs of STFs that display negative genetic interactions regulate gene expression in an independent rather than coordinated manner. Collectively, these data suggest that parallel/compensating relationships between regulators, rather than linear pathways, often characterize transcriptional circuits.
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Registered trials
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.