Rapamycin-Induced Gene Expression System Optimization Data

An 87-fold increase in target gene expression was achieved by optimizing a rapamycin-inducible FKBP-FRB split transcription factor system for plants. The dataset likely contains experimental results from designs with different DNA-binding domains, FRB repeats, and promoter architectures. Dominic Schirmer published the data on figshare in April 2026.

Use Cases

• Benchmarking chemical induction systems based on reported 87-fold expression increase.
• Optimizing synthetic promoter architectures based on described systematic characterization.
• Evaluating rapamycin application methods like leaf spraying or soil application based on described practicality.
• Designing orthogonal ligand systems based on the potential for expansion with FRB or FKBP mutants.

Strengths

• Systematic optimization reduced basal activity and enhanced induced activity.
• The system achieved an 87-fold increase in target gene expression.
• Sensitivity to nanomolar concentrations of inducer is reported.
• Simple rapamycin application methods like spraying are documented.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 19.5 KB size suggests a limited scope of experimental data.

Provenance

Source

figshare

Collection Method

Likely contains experimental data from the development and optimization of a rapamycin-inducible transcription factor system.

Freshness

Last updated 2026-04-16 18:09:11; freshness should be verified.