IFI-M · UK Co-Expression Series

Specimen SS-F-M2-06338 // MULTI-AXIS · IFI-M

UK Co-Expression Series IV-AG-B

Solanum lycopersicum

Tomato

Tier IVUK Co-Expression Series

Target Trait

2.86×

fold-change

Umami+Kokumi co-activation fold-change

Technical Specifications

SKU

SS-F-M2-06338

Genomic Edits

9

GC Content

44.9%

Construct Length

4,690 bp

Promoter System

Tissue-specific 2A11

Expression System

Agrobacterium-mediated T-DNA

Host Strain

EHA105

Receptor Target

mGluR1 + CaSR

IFI Score

286

Pathway Edits

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

Key Interventions

Dual-receptor co-activation via synchronized mGluR1 and CaSR pathway engineeringMetabolic flux partitioning strategy enabling simultaneous umami and kokumi accumulation without competing pathway suppressionCo-expression vector design for UK 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 IV UK dual-axis co-expression platform for food ingredient applications requiring verified combined umami+kokumi sensory character. Suitable for multi-modal flavor architecture, premium ingredient certification, and receptor-confirmed IFI multi-axis profiling.

License

$4049 · Tier IV License

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

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