IFI-M · US Co-Expression Series

Specimen SS-F-M2-05757 // MULTI-AXIS · IFI-M

US Co-Expression Series V-PR-C

Solanum lycopersicum

Tomato

Tier VUS Co-Expression Series

Target Trait

3.75×

fold-change

Umami+Sweet co-activation fold-change

Technical Specifications

SKU

SS-F-M2-05757

Genomic Edits

11

GC Content

46.9%

Construct Length

5,404 bp

Promoter System

Ubiquitin / T7

Expression System

Protoplast PEG-fusion

Host Strain

PEG-mediated

Receptor Target

mGluR1 + TAS1R2/TAS1R3

IFI Score

375

Pathway Edits

  • mGluR1 pathway primary gene cluster overexpression for umami axis activation
  • TAS1R2/TAS1R3 pathway primary gene cluster overexpression for sweet axis activation
  • Bidirectional promoter system for synchronized U+S dual-axis co-expression
  • Metabolic flux partitioning between IFI-U and IFI-S pathway branches via carbon flow optimization
  • Transcription factor co-binding site engineering for Umami-Sweet combinatorial gene regulation
  • Cross-pathway feedback inhibition circuit removal for U+S simultaneous accumulation
  • Cofactor balance optimization for U+S dual-pathway operation
  • Protein scaffold engineering for U+S enzyme co-localization

Key Interventions

Dual-receptor co-activation via synchronized mGluR1 and TAS1R2/TAS1R3 pathway engineeringMetabolic flux partitioning strategy enabling simultaneous umami and sweet accumulation without competing pathway suppressionCo-expression vector design for US 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 US dual-axis co-expression platform for food ingredient applications requiring verified combined umami+sweet 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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