IFI-M · HU Co-Expression Series

Specimen SS-F-M2-00630 // MULTI-AXIS · IFI-M

HU Co-Expression Series III-BL-C

Capsicum chinense

Habanero

Tier IIIHU Co-Expression Series

Target Trait

2.63×

fold-change

Heat+Umami co-activation fold-change

Technical Specifications

SKU

SS-F-M2-00630

Genomic Edits

9

GC Content

44.8%

Construct Length

4,623 bp

Promoter System

CaMV 35S / Ubiquitin

Expression System

Biolistic transformation

Host Strain

Particle Gun

Receptor Target

TRPV1 + mGluR1

IFI Score

263

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
  • Cofactor balance optimization for H+U dual-pathway operation
  • 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 suppressionCo-expression vector design for HU multi-axis integrationBiolistic co-bombardment of multi-axis transgene cassettes for high-copy integration events

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 co-expression 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

$1649 · Tier III License

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

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