PromoterCAD

PromoterCAD designs synthetic promoters for plants by integrating high-throughput expression and motif data from Arabidopsis thaliana to guide altered transcriptional regulation.


Key Features:

  • Data-driven design: Integrates published high-throughput expression and motif datasets from Arabidopsis thaliana to inform promoter sequence selection.
  • Motif mining tools: Identifies motifs associated with circadian oscillations and tissue-specific expression patterns for targeted regulatory control.
  • Promoter proposal generation: Proposes promoter designs that match user-specified expression characteristics by matching motifs to expression profiles.
  • Extensible data integration: Supports incorporation of additional datasets to expand the motif and expression profile database.
  • LinkData platform integration: Built on the LinkData open platform for data publication and application development.

Scientific Applications:

  • Synthetic promoter engineering: Design promoters to control gene expression timing, location, and intensity in plant systems.
  • Transcriptional regulation analysis: Use motif–expression relationships to investigate regulatory mechanisms such as circadian control and tissue specificity.
  • Plant biotechnology and trait development: Aid development of genetically modified plants with tailored expression patterns for research and agricultural applications.

Methodology:

Researchers input desired expression characteristics, and the tool uses its database of motifs and expression profiles derived from Arabidopsis thaliana and published high-throughput datasets to propose promoter designs; this process is facilitated by the LinkData platform for data publication and application development.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
3/25/2017
Last Updated:
11/25/2024

Operations

Publications

Cox RS, Nishikata K, Shimoyama S, Yoshida Y, Matsui M, Makita Y, Toyoda T. PromoterCAD: data-driven design of plant regulatory DNA. Nucleic Acids Research. 2013;41(W1):W569-W574. doi:10.1093/nar/gkt518. PMID:23766287. PMCID:PMC3692106.

Documentation