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Cao Q, Boo Irizarry Y, Yazhuk S, et al. GCgx: transcriptome-wide exploration of the response to glucocorticoids. J Mol Endocrinol. 2021;68(2):B1-B4doi: 10.1530/JME-21-0107.
Cao, Q., Boo Irizarry, Y., Yazhuk, S., Tran, T., Gadkari, M., & Franco, L. M. (2021). GCgx: transcriptome-wide exploration of the response to glucocorticoids. Journal of molecular endocrinology, 68(2), B1-B4. https://doi.org/10.1530/JME-21-0107
Cao, Qilin, et al. "GCgx: transcriptome-wide exploration of the response to glucocorticoids." Journal of molecular endocrinology vol. 68,2 (2021): B1-B4. doi: https://doi.org/10.1530/JME-21-0107
Cao Q, Boo Irizarry Y, Yazhuk S, Tran T, Gadkari M, Franco LM. 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. PMID: 34787097; PMCID: PMC8691098.
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J Mol Endocrinol. 2021 Dec 10;68(2):B1-B4. doi: 10.1530/JME-21-0107.

GCgx: transcriptome-wide exploration of the response to glucocorticoids.

Journal of molecular endocrinology

Qilin Cao, Yamil Boo Irizarry, Svetlana Yazhuk, Thai Tran, Manasi Gadkari, Luis Miguel Franco

Affiliations

  1. Functional Immunogenomics Unit, Systemic Autoimmunity Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland, USA.
  2. Bioinformatics and Computational Biosciences Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, Maryland, USA.
  3. Operations and Engineering Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, Maryland, USA.

PMID: 34787097 PMCID: PMC8691098 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

References

  1. Nat Rev Immunol. 2017 Apr;17(4):233-247 - PubMed
  2. J Exp Med. 2019 Feb 4;216(2):384-406 - PubMed
  3. N Engl J Med. 2021 Feb 25;384(8):693-704 - PubMed

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