Fission Yeast Pheromone Signaling Data and Mathematical Model

Emma J. Kelsall published a dataset and mathematical model on fission yeast pheromone signaling in 2026. The data likely contains results from genetic epistasis analysis and biochemical assays exploring how the RAS mutation ras1.G17V differentially activates downstream MAPK and Cdc42 pathways. The accompanying model incorporates a negative-feedback circuit to explain transient MAPK activation profiles.

Use Cases

• Analyze competitive interaction between Ras1 effectors Cdc42-GEFScd1 and MAPKKKByr2 based on biochemical assay data
• Validate mathematical models of signaling networks based on genetic epistasis analysis results
• Study the effects of the ras1.G17V mutation on pathway activation dynamics based on experimental observations
• Investigate negative-feedback mechanisms in pheromone signaling based on model predictions and Sxa2 deletion experiments

Strengths

• Includes a mathematical model validated against wild type and 20 additional pheromone signaling mutants
• Data is associated with a published study providing a holistic understanding of the signaling network
• File is available in XLSX format, facilitating structured analysis

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Dataset size is 12.3 KB, indicating a very limited scope of data

Provenance

Source

Emma J. Kelsall via figshare

Collection Method

Generated from genetic epistasis analysis and biochemical assays of Ras1 effectors.

Freshness

Last updated 2026-04-17 17:44:21