IFI-M · PU Tissue-Specific Series

Specimen SS-F-M2-02636 // MULTI-AXIS · IFI-M

PU Tissue-Specific Series V-PR-B

Brassica nigra

Black Mustard

Tier VPU Tissue-Specific Series

Target Trait

3.14×

fold-change

Sharp+Umami tissue-specific dual expression

Technical Specifications

SKU

SS-F-M2-02636

Genomic Edits

10

GC Content

44.4%

Construct Length

5,167 bp

Promoter System

Ubiquitin / T7

Expression System

Protoplast PEG-fusion

Host Strain

PEG-mediated

Receptor Target

TRPA1 + mGluR1

IFI Score

314

Pathway Edits

  • TRPA1 pathway primary gene cluster overexpression for sharp axis activation
  • mGluR1 pathway primary gene cluster overexpression for umami axis activation
  • Bidirectional promoter system for synchronized P+U dual-axis co-expression
  • Metabolic flux partitioning between IFI-P and IFI-U pathway branches via carbon flow optimization
  • Transcription factor co-binding site engineering for Sharp-Umami combinatorial gene regulation
  • Cross-pathway feedback inhibition circuit removal for P+U simultaneous accumulation
  • Tissue-specific expression cassette deployment for optimized PU spatial patterning
  • Protein scaffold engineering for P+U enzyme co-localization

Key Interventions

Dual-receptor co-activation via synchronized TRPA1 and mGluR1 pathway engineeringMetabolic flux partitioning strategy enabling simultaneous sharp and umami accumulation without competing pathway suppressionTissue-specific dual expression for PU multi-axis integrationPEG-mediated co-transfection of axis constructs for rapid phenotypic screening of multi-axis combinations

IFI Subscale Profile

IFI Profile

IFI-S
—
IFI-U
—
IFI-B
—
IFI-K
—
IFI-C
—
IFI-P
—
IFI-A
—
IFI-F
—

Use Case

Tier V PU dual-axis tissue-specific platform for food ingredient applications requiring verified combined sharp+umami sensory character. Suitable for multi-modal flavor architecture, premium ingredient certification, and receptor-confirmed IFI multi-axis profiling.

License

$10049 · Tier V License

Includes full construct sequence, CRISPR guide designs, pathway edit specifications, flux balance analysis, and IFI validation data.

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