Related Experiment Video

Updated: Oct 13, 2025

A Chemical Screening Procedure for Glucocorticoid Signaling with a Zebrafish Larva Luciferase Reporter System
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A Chemical Screening Procedure for Glucocorticoid Signaling with a Zebrafish Larva Luciferase Reporter System

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GCgx: transcriptome-wide exploration of the response to glucocorticoids

Qilin Cao1, Yamil Boo Irizarry2, Svetlana Yazhuk3

  • 1Functional Immunogenomics Unit, Systemic Autoimmunity Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland, USA.

Journal of Molecular Endocrinology
|November 17, 2021
PubMed

Insights

Glucocorticoids are vital for treating inflammation, but their effects vary by cell type. The GCgx tool provides accessible data visualization to better understand glucocorticoid responses across different cells and species.

Area of Science:

  • Immunology
  • Pharmacology
  • Bioinformatics

Background:

  • Glucocorticoids are essential for immunosuppression and anti-inflammatory treatments in humans.
  • The precise mechanisms underlying glucocorticoid immunoregulation and toxicity are not fully understood.
  • Glucocorticoid responses are highly dependent on cell type, complicating translation of experimental findings.

Purpose of the Study:

  • To introduce GCgx, a web application for visualizing transcript abundance changes in response to glucocorticoids.
  • To facilitate a better understanding of glucocorticoid effects across diverse cell types and species.
  • To create a community-driven platform for expanding glucocorticoid response data.

Main Methods:

  • Development of a web application (GCgx) using R and HTML.
  • Packaging the application as a Docker image for accessibility.
  • Incorporating user community input for future dataset additions.

Main Results:

  • GCgx enables rapid visualization of glucocorticoid-induced transcriptomic changes.
  • The tool supports data from various cell types and species.
  • The application is publicly available with its source code.

Conclusions:

  • GCgx provides a valuable resource for researchers studying glucocorticoid action.
  • The platform aims to improve the understanding of cell type-specific glucocorticoid responses.
  • Accessible data visualization is key to advancing glucocorticoid research and clinical application.
Keywords:
gene expressionglucocorticoidsmobile applicationssoftware tools

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