PU Precision Dual-Axis Series V-AG-C

Brassica nigra

Black Mustard

Tier VPU Precision Dual-Axis Series

Target Trait

5.63×

fold-change

Sharp+Umami precision dual-axis IFI score

Technical Specifications

SKU

SS-F-M2-02691

Genomic Edits

GC Content

49.1%

Construct Length

6,622 bp

Promoter System

Tissue-specific 2A11

Expression System

Agrobacterium-mediated T-DNA

Host Strain

EHA105

Receptor Target

TRPA1 + mGluR1

IFI Score

563

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
Chassis organism metabolic engineering for PU dual-output receptor target optimization

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 suppressionPrecision combinatorial regulation for PU multi-axis integrationT-DNA binary vector 2A11 for stable genomic integration of multi-axis construct stack

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 precision dual 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

$10149 · Tier V License

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

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