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Environmental Stress & Toxicology Signaling Response Stable Cell Panel

Introduction

The culture-free Environmental Stress & Toxicology Panel is a ready-to-test 96-well plate pre-seeded with luciferase reporter stable cell lines targeting eight key environmental stress and toxicology pathways, including XRE, FXR, NRF2, HIF, p53, NFκB, ATF4, and CREB. Designed for toxicity profiling, xenobiotic metabolism studies, and hypoxia research, this panel eliminates the need for cell seeding or culturing. Each well contains validated, stable reporter cell lines, enabling researchers to perform a single-step assay—just add your treatments and measure luciferase activity. In addition to these core pathways, the panel can be customized to include other transcription factors of interest, providing a flexible and standardized solution for toxicology and environmental stress research.

Principle

The One-Step Environmental Stress & Toxicology Panel uses luciferase reporter stable cell lines to monitor the activation of eight key transcription factor (TF) pathways involved in stress response, toxicology, and xenobiotic metabolism. Each reporter cell line contains a luciferase gene controlled by TF-specific response elements. When a TF is activated, it binds to its response element, inducing luciferase expression that is measured as luminescence.

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  • XRE (Xenobiotic Response Element): Detects activation of the aryl hydrocarbon receptor (AhR) pathway involved in xenobiotic metabolism and detoxification.

  • FXR (Farnesoid X Receptor): Monitors bile acid signaling and its role in metabolic regulation and xenobiotic responses.

  • NRF2 (Nuclear Factor Erythroid 2–Related Factor 2): Reflects the antioxidant response and cellular defense against oxidative stress and electrophilic agents.

  • HIF (Hypoxia-Inducible Factor): Reports on hypoxia-related transcriptional activity controlling oxygen homeostasis and cellular adaptation.

  • p53: Tracks DNA damage response, genotoxic stress, and apoptosis regulation in toxicology studies.

  • NFκB (Nuclear Factor Kappa B): Detects inflammatory and stress-driven transcription related to toxic or environmental insults.

  • ATF4 (Activating Transcription Factor 4): Monitors the integrated stress response (ISR) linked to ER stress, amino acid metabolism, and redox regulation.

  • CREB (cAMP Response Element-Binding Protein): Reports on stress-adaptive signaling associated with energy metabolism and cellular survival mechanisms.

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Application

  • Profiling xenobiotic metabolism and activation of detoxification pathways mediated by TFs like XRE and FXR.

  • Investigating oxidative stress responses through NRF2 signaling under toxic or stressful conditions.

  • Studying cellular adaptation to hypoxia using HIF reporter activity.

  • Assessing DNA damage and genotoxic stress via p53 activation.

  • Evaluating inflammatory and stress signaling pathways involving NF-κB, ATF4, and CREB.

  • Toxicity screening of environmental pollutants, pharmaceuticals, and industrial chemicals for safety and risk assessment.

  • Mechanistic studies of environmental stress-induced cellular dysfunction and disease processes.

  • Supporting drug discovery efforts targeting pathways involved in cellular stress and toxicity.

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Benefits

Stable Cell Line Consistency

Built with validated, stable luciferase reporter cell lines to ensure high reproducibility and minimize experimental variability.

True One-Step Workflow

​Pre-seeded, stable reporter cell lines eliminate cell seeding, culturing, and transfection—simply add your treatments and measure luciferase activity.

Comprehensive Pathway Profiling

Simultaneously analyze 8 key transcription factor (TF) pathways in a single 96-well format for efficient pathway screening.

Complete Reagent Package

Includes lysis buffer and luciferase substrate

Validated, Ready-to-Assay Cells

Each well contains quality-controlled reporter cells with consistent pathway responsiveness, removing the need for assay optimization.

Flexible Experimental Design

Supports up to 12 treatment conditions across all pathways in one experiment, enabling high-throughput, comparative analysis.

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