Rapamycin-Induced Gene Expression Data for Plant Synthetic Biology

Dominic Schirmer's dataset from 2026 describes a rapamycin-inducible FKBP-FRB split transcription factor system engineered for plants. The data likely contains results from systematic optimization of designs, showing an 87-fold increase in target gene expression from uninduced to induced states. The dataset is hosted on figshare and was last updated on April 16, 2026.

Use Cases

• Benchmarking chemical induction systems based on the reported 87-fold expression increase.
• Designing orthogonal ligand systems based on the potential for expansion with FRB or FKBP mutants.
• Optimizing promoter architectures based on the described systematic characterization of different designs.
• Evaluating application methods for inducers based on the mention of spraying and soil application.

Strengths

• Dataset reports a specific 87-fold increase in target gene expression from uninduced to induced state.
• System was optimized for sensitivity to nanomolar concentrations of the inducer rapamycin.
• Data is associated with a specific, recent update timestamp of 2026-04-16.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small in size (922.0 KB), indicating limited scope.

Provenance

Source

figshare, author Dominic Schirmer

Collection Method

Likely contains experimental results from the development and optimization of a synthetic gene expression system.

Freshness

Last updated 2026-04-16 18:09:12; freshness should be verified.