IFI-M · UK Tissue-Specific Series

Specimen SS-F-M2-06537 // MULTI-AXIS · IFI-M

UK Tissue-Specific Series V-PR-C

Solanum lycopersicum

Tomato

Tier VUK Tissue-Specific Series

Target Trait

3.5×

fold-change

Umami+Kokumi tissue-specific dual expression

Technical Specifications

SKU

SS-F-M2-06537

Genomic Edits

11

GC Content

48.2%

Construct Length

5,464 bp

Promoter System

Ubiquitin / T7

Expression System

Protoplast PEG-fusion

Host Strain

PEG-mediated

Receptor Target

mGluR1 + CaSR

IFI Score

350

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
  • Tissue-specific expression cassette deployment for optimized UK spatial patterning
  • 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 suppressionTissue-specific dual expression for UK 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 UK dual-axis tissue-specific 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

$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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