ArticleProceedings of the National Academy of Sciences of the United States of America2011
Scaffold number in yeast signaling system sets tradeoff between system output and dynamic range.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed, 65 citations in OpenAlex.
- Rules railroad: Syntax-inspired diagrams for visualizing and understanding rule-based model specifications.PLoS computational biology · 2026Article
- Visualizing mechanistic models by integrating site-specific molecular details into reaction networks.Frontiers in molecular biosciences · 2025Article
- Data integration strategies for whole-cell modeling.FEMS yeast research · 2024Review
- Orientation of Cell Polarity by Chemical Gradients.Annual review of biophysics · 2022Review
- Designed Asymmetric Protein Assembly on a Symmetric Scaffold.Angewandte Chemie (International ed. in English) · 2020Article
- A scalable method for parameter-free simulation and validation of mechanistic cellular signal transduction network models.NPJ systems biology and applications · 2020Article
- Preserving Single Cells in Space and Time for Analytical Assays.Trends in analytical chemistry : TRAC · 2020Article
- Single-cell profiling screen identifies microtubule-dependent reduction of variability in signaling.Molecular systems biology · 2018Article
- Spatial modeling of the membrane-cytosolic interface in protein kinase signal transduction.PLoS computational biology · 2018Article
- Analysis of the thresholds for transcriptional activation by the yeast MAP kinases Fus3 and Kss1.Molecular biology of the cell · 2018Article
- Automated visualization of rule-based models.PLoS computational biology · 2017Article
- Spatial and temporal signal processing and decision making by MAPK pathways.The Journal of cell biology · 2017Review
- Yeast GPCR signaling reflects the fraction of occupied receptors, not the number.Molecular systems biology · 2016Article
- Push-Pull and Feedback Mechanisms Can Align Signaling System Outputs with Inputs.Cell systems · 2016Article
- Single-cell dynamics and variability of MAPK activity in a yeast differentiation pathway.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Enzyme Sequestration as a Tuning Point in Controlling Response Dynamics of Signalling Networks.PLoS computational biology · 2016Article
- An Analytical Framework for Studying Small-Number Effects in Catalytic Reaction Networks: A Probability Generating Function Approach to Chemical Master Equations.Frontiers in physiology · 2016Article
- A Method and On-Line Tool for Maximum Likelihood Calibration of Immunoblots and Other Measurements That Are Quantified in Batches.PloS one · 2016Article
- BioJazz: in silico evolution of cellular networks with unbounded complexity using rule-based modeling.Nucleic acids research · 2015Article
- Compartmentalization of a bistable switch enables memory to cross a feedback-driven transition.Cell · 2015Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
Abstract
Although the proteins comprising many signaling systems are known, less is known about their numbers per cell. Existing measurements often vary by more than 10-fold. Here, we devised improved quantification methods to measure protein abundances in the Saccharomyces cerevisiae pheromone response pathway, an archetypical signaling system. These methods limited variation between independent measurements of protein abundance to a factor of two. We used these measurements together with quantitative models to identify and investigate behaviors of the pheromone response system sensitive to precise abundances. The difference between the maximum and basal signaling output (dynamic range) of the pheromone response MAPK cascade was strongly sensitive to the abundance of Ste5, the MAPK scaffold protein, and absolute system output depended on the amount of Fus3, the MAPK. Additional analysis and experiment suggest that scaffold abundance sets a tradeoff between maximum system output and system dynamic range, a prediction supported by recent experiments.
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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.