PA Co-Expression Series V-IV-B

Brassica nigra

Black Mustard

Tier VPA Co-Expression Series

Target Trait

3.36×

fold-change

Sharp+Astringency co-activation fold-change

Technical Specifications

SKU

SS-F-M2-02759

Genomic Edits

GC Content

47.4%

Construct Length

5,058 bp

Promoter System

T7/SP6 cell-free

Expression System

In-vitro cell-free

Host Strain

Cell-free

Receptor Target

TRPA1 + Polyphenol-astringency axis

IFI Score

336

Pathway Edits

TRPA1 pathway primary gene cluster overexpression for sharp axis activation
Polyphenol-astringency axis pathway primary gene cluster overexpression for astringency axis activation
Bidirectional promoter system for synchronized P+A dual-axis co-expression
Metabolic flux partitioning between IFI-P and IFI-A pathway branches via carbon flow optimization
Transcription factor co-binding site engineering for Sharp-Astringency combinatorial gene regulation
Cross-pathway feedback inhibition circuit removal for P+A simultaneous accumulation
Cofactor balance optimization for P+A dual-pathway operation
Protein scaffold engineering for P+A enzyme co-localization

Key Interventions

Dual-receptor co-activation via synchronized TRPA1 and Polyphenol-astringency axis pathway engineeringMetabolic flux partitioning strategy enabling simultaneous sharp and astringency accumulation without competing pathway suppressionCo-expression vector design for PA multi-axis integrationCell-free co-translation of multi-axis enzyme sets for in-vitro biochemical validation

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 PA dual-axis co-expression platform for food ingredient applications requiring verified combined sharp+astringency 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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