IFI-M · HC Co-Expression Series

Specimen SS-F-M2-00360 // MULTI-AXIS · IFI-M

HC Co-Expression Series V-IV-C

Capsicum chinense

Habanero

Tier VHC Co-Expression Series

Target Trait

3.75×

fold-change

Heat+Cooling co-activation fold-change

Technical Specifications

SKU

SS-F-M2-00360

Genomic Edits

11

GC Content

44.2%

Construct Length

5,455 bp

Promoter System

T7/SP6 cell-free

Expression System

In-vitro cell-free

Host Strain

Cell-free

Receptor Target

TRPV1 + TRPM8

IFI Score

375

Pathway Edits

  • TRPV1 pathway primary gene cluster overexpression for heat axis activation
  • TRPM8 pathway primary gene cluster overexpression for cooling axis activation
  • Bidirectional promoter system for synchronized H+C dual-axis co-expression
  • Metabolic flux partitioning between IFI-H and IFI-C pathway branches via carbon flow optimization
  • Transcription factor co-binding site engineering for Heat-Cooling combinatorial gene regulation
  • Cross-pathway feedback inhibition circuit removal for H+C simultaneous accumulation
  • Cofactor balance optimization for H+C dual-pathway operation
  • Protein scaffold engineering for H+C enzyme co-localization

Key Interventions

Dual-receptor co-activation via synchronized TRPV1 and TRPM8 pathway engineeringMetabolic flux partitioning strategy enabling simultaneous heat and cooling accumulation without competing pathway suppressionCo-expression vector design for HC multi-axis integrationCell-free co-translation of multi-axis enzyme sets for in-vitro biochemical validation

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 HC dual-axis co-expression platform for food ingredient applications requiring verified combined heat+cooling 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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