Heterosis in Development: Stochastic Models of Gene Expression and Hybridization

250 randomized models of noisy gene expression simulate mRNA bursting and protein production dynamics. Author Gavin Conant created 20 hybrid models from 100 low-variance parent models to study heterosis. The models are stored as XML files and were last updated in May 2026.

Use Cases

• Simulating stochastic gene expression patterns based on described mRNA bursting and protein half-life dynamics.
• Analyzing variance in differentiation factor (DF) protein levels across randomized model parameter sets.
• Studying heterosis by comparing hybrid models created from parent models with similar noise profiles.

Strengths

• Includes 250 distinct randomized models, each optimized to produce an average of 200 molecules of the differentiation factor (DF).
• Focuses on 100 models selected for having the lowest variance in DF, providing a curated set for low-noise analysis.
• Contains 20 specifically created hybrid models for comparative study of heterosis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (341.9 KB), indicating limited scope and likely containing model definitions rather than extensive simulation results.

Provenance

Source

figshare

Collection Method

Models were created and stochastic simulations were run using the tau_leaping_exp_adapt_serial tool of the Stochkit2 package.

Freshness

Last updated 2026-05-13 19:27:19; freshness should be verified.