IFI-M · HU Tissue-Specific Series

Specimen SS-F-M2-00812 // MULTI-AXIS · IFI-M

HU Tissue-Specific Series III-PR-B

Capsicum chinense

Habanero

Tier IIIHU Tissue-Specific Series

Target Trait

2.18×

fold-change

Heat+Umami tissue-specific dual expression

Technical Specifications

SKU

SS-F-M2-00812

Genomic Edits

8

GC Content

44.6%

Construct Length

4,337 bp

Promoter System

Ubiquitin / T7

Expression System

Protoplast PEG-fusion

Host Strain

PEG-mediated

Receptor Target

TRPV1 + mGluR1

IFI Score

218

Pathway Edits

  • TRPV1 pathway primary gene cluster overexpression for heat axis activation
  • mGluR1 pathway primary gene cluster overexpression for umami axis activation
  • Bidirectional promoter system for synchronized H+U dual-axis co-expression
  • Metabolic flux partitioning between IFI-H and IFI-U pathway branches via carbon flow optimization
  • Transcription factor co-binding site engineering for Heat-Umami combinatorial gene regulation
  • Cross-pathway feedback inhibition circuit removal for H+U simultaneous accumulation
  • Tissue-specific expression cassette deployment for optimized HU spatial patterning
  • Protein scaffold engineering for H+U enzyme co-localization

Key Interventions

Dual-receptor co-activation via synchronized TRPV1 and mGluR1 pathway engineeringMetabolic flux partitioning strategy enabling simultaneous heat and umami accumulation without competing pathway suppressionTissue-specific dual expression for HU 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 III HU dual-axis tissue-specific platform for food ingredient applications requiring verified combined heat+umami sensory character. Suitable for multi-modal flavor architecture, premium ingredient certification, and receptor-confirmed IFI multi-axis profiling.

License

$1549 · Tier III License

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

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