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Culture-Free Metabolism
Cell Panel Assay

Introduction

The culture-free Metabolic TF Reporter Panel is a ready-to-use 96-well plate pre-seeded with luciferase reporter stable cell lines targeting eight key transcription factor pathways: PPAR, FXR, CREB, FOXO3, STAT1, STAT3, TGFβ, and Wnt. The Metabolic Signaling Response Panel quickly profiles lipid metabolism, glucose regulation, and nutrient sensing, making it ideal for high-throughput metabolic pathway analysis.

 

Designed for convenience, it eliminates the need for cell seeding or culturing—just add your compounds and measure luciferase activity.

 

The panel can also be customized with additional transcription factors, offering a flexible, standardized solution for drug discovery, nutrient sensing studies, and metabolic signaling research.

Please review our full range of TF stable cell lines used in these panel assays for your reference.

How it works

  1. Pre-seeded ready to go: Each well contains a TF-luciferase reporter stable cell line—4 °C-preserved and pre-validated.

  2. Run your assay: Simply add compounds, incubate, and read luminescence signals.

  3. Read out: TF activation → DNA binding → luciferase expression → quantifiable luminescence.

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Included Stable cell lines

Benefits

Culture-Free & Ready-to-Use

Pre‑seeded with validated luciferase reporter cell lines; no cell culture facilities needed.

Fast, One‑Step Workflow

Just add compounds and measure luminescence for rapid results. 

Standardized & Reproducible

Consistent assay conditions minimize variability between runs. 

Broad Accessibility

Usable by any lab, regardless of cell culture expertise or infrastructure.  

High‑Throughput Capable

96‑well format for efficient screening of large compound libraries. 

Complete Reagent Package

Includes lysis buffer and luciferase substrate

Comprehensive Pathway Coverage

Monitors 8 core metabolic TF pathways

Highly Sensitive & Quantitative

Direct correlation between TF activation and luminescence signal

Customizable

Add transcription factors to fit your specific research goals.

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