IFI-M · UA Precision Dual-Axis Series

Specimen SS-F-M2-05647 // MULTI-AXIS · IFI-M

UA Precision Dual-Axis Series I-PR-A

Solanum lycopersicum

Tomato

Tier IUA Precision Dual-Axis Series

Target Trait

1.5×

fold-change

Umami+Astringency precision dual-axis IFI score

Technical Specifications

SKU

SS-F-M2-05647

Genomic Edits

6

GC Content

46%

Construct Length

3,510 bp

Promoter System

Ubiquitin / T7

Expression System

Protoplast PEG-fusion

Host Strain

PEG-mediated

Receptor Target

mGluR1 + Polyphenol-astringency axis

IFI Score

150

Pathway Edits

  • mGluR1 pathway primary gene cluster overexpression for umami axis activation
  • Polyphenol-astringency axis pathway primary gene cluster overexpression for astringency axis activation
  • Bidirectional promoter system for synchronized U+A dual-axis co-expression
  • Metabolic flux partitioning between IFI-U and IFI-A pathway branches via carbon flow optimization
  • Transcription factor co-binding site engineering for Umami-Astringency combinatorial gene regulation
  • Cross-pathway feedback inhibition circuit removal for U+A simultaneous accumulation

Key Interventions

Dual-receptor co-activation via synchronized mGluR1 and Polyphenol-astringency axis pathway engineeringMetabolic flux partitioning strategy enabling simultaneous umami and astringency accumulation without competing pathway suppressionPrecision combinatorial regulation for UA 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 I UA dual-axis precision dual platform for food ingredient applications requiring verified combined umami+astringency sensory character. Suitable for multi-modal flavor architecture, premium ingredient certification, and receptor-confirmed IFI multi-axis profiling.

License

$299 · Tier I License

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

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