IFI-M · CU Sequential Integration Series

Specimen SS-F-M2-04011 // MULTI-AXIS · IFI-M

CU Sequential Integration Series V-AG-C

Mentha × piperita

Peppermint

Tier VCU Sequential Integration Series

Target Trait

4.38×

fold-change

Cooling+Umami sequential pathway fold-change

Technical Specifications

SKU

SS-F-M2-04011

Genomic Edits

12

GC Content

49.1%

Construct Length

5,902 bp

Promoter System

Tissue-specific 2A11

Expression System

Agrobacterium-mediated T-DNA

Host Strain

EHA105

Receptor Target

TRPM8 + mGluR1

IFI Score

438

Pathway Edits

  • TRPM8 pathway primary gene cluster overexpression for cooling axis activation
  • mGluR1 pathway primary gene cluster overexpression for umami axis activation
  • Bidirectional promoter system for synchronized C+U dual-axis co-expression
  • Metabolic flux partitioning between IFI-C and IFI-U pathway branches via carbon flow optimization
  • Transcription factor co-binding site engineering for Cooling-Umami combinatorial gene regulation
  • Cross-pathway feedback inhibition circuit removal for C+U simultaneous accumulation
  • Cofactor balance optimization for C+U dual-pathway operation
  • Protein scaffold engineering for C+U enzyme co-localization

Key Interventions

Dual-receptor co-activation via synchronized TRPM8 and mGluR1 pathway engineeringMetabolic flux partitioning strategy enabling simultaneous cooling and umami accumulation without competing pathway suppressionSequential construct stacking for CU 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 CU dual-axis sequential integration platform for food ingredient applications requiring verified combined cooling+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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