ArticleMolecular systems biology2012
Positive roles for negative regulators in the mating response of yeast.
Article in Molecular systems biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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
12 citing papers in PubMed, 16 citations in OpenAlex.
- Peptide-Dependent Growth in Yeast via Fine-Tuned Peptide/GPCR-Activated Essential Gene Expression.Biochemistry · 2022Article
- Post-Transcriptional Control of Mating-Type Gene Expression during Gametogenesis inBiomolecules · 2021Article
- A predictive model of gene expression reveals the role of network motifs in the mating response of yeast.Science signaling · 2021Article
- Quantitative analysis of the yeast pheromone pathway.Yeast (Chichester, England) · 2019Article
- Article
- Functional association of Loc1 and Puf6 with RNA helicase Dhh1 in translational regulation of Saccharomyces cerevisiae Ste12.PloS one · 2019Article
- Adaptation with transcriptional regulation.Scientific reports · 2017Article
- Article
- Sensory input attenuation allows predictive sexual response in yeast.Nature communications · 2016Article
- The Neurospora photoreceptor VIVID exerts negative and positive control on light sensing to achieve adaptation.Molecular systems biology · 2013Article
- Article
- Multiple MAPK cascades regulate the transcription of IME1, the master transcriptional activator of meiosis in Saccharomyces cerevisiae.PloS one · 2013Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
All cells must detect and respond to changes in their environment, often through changes in gene expression. The yeast pheromone pathway has been extensively characterized, and is an ideal system for studying transcriptional regulation. Here we combine computational and experimental approaches to study transcriptional regulation mediated by Ste12, the key transcription factor in the pheromone response. Our mathematical model is able to explain multiple counterintuitive experimental results and led to several novel findings. First, we found that the transcriptional repressors Dig1 and Dig2 positively affect transcription by stabilizing Ste12. This stabilization through protein-protein interactions creates a large pool of Ste12 that is rapidly activated following pheromone stimulation. Second, we found that protein degradation follows saturating kinetics, explaining the long half-life of Ste12 in mutants expressing elevated amounts of Ste12. Finally, our model reveals a novel mechanism for robust perfect adaptation through protein-protein interactions that enhance complex stability. This mechanism allows the transcriptional response to act on a shorter time scale than upstream pathway activity.
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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.