GCgx: transcriptome-wide exploration of the response to glucocorticoids

J Mol Endocrinol. 2021 Dec 10;68(2):B1-B4. doi: 10.1530/JME-21-0107.

Abstract

Glucocorticoids are the cornerstone of immunosuppressive and anti-inflammatory therapy in humans, yet the mechanisms of glucocorticoid immunoregulation and toxicity remain unclear. The response to glucocorticoids is highly cell type-dependent, so translating results from different experimental systems into a better understanding of glucocorticoid effects in humans would benefit from rapid access to high-quality data on the response to glucocorticoids by different cell types. We introduce GCgx, a web application that allows investigators to quickly visualize changes in transcript abundance in response to glucocorticoids in a variety of cells and species. The tool is designed to grow by the addition of datasets based on input from the user community. GCgx is implemented in R and HTML and packaged as a Docker image. The tool and its source code are publicly available.

Keywords: gene expression; glucocorticoids; mobile applications; software tools.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, N.I.H., Intramural

MeSH terms

  • Computational Biology / methods*
  • Gene Expression Regulation / drug effects*
  • Glucocorticoids / pharmacology*
  • Software*
  • Transcriptome*
  • User-Computer Interface
  • Web Browser

Substances

  • Glucocorticoids