—

Print
Save
Email this link

Share Link

Copy this link, or click below to email it to a friend
Email this link
or copy the link directly:

https://jme.bioscientifica.com/search?f_0=author&q_0=Svetlana+Yazhuk
The link was not copied. Your current browser may not support copying via this button.

Link copied successfully

Search Results

You are looking at 1 - 1 of 1 items for

Author: Svetlana Yazhuk x

Refine by access: All content x

GCgx: transcriptome-wide exploration of the response to glucocorticoids

Qilin Cao

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

Search for other papers by Qilin Cao in
Google Scholar
PubMed

Yamil Boo Irizarry

Yamil Boo Irizarry Bioinformatics and Computational Biosciences Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, Maryland, USA

Search for other papers by Yamil Boo Irizarry in
Google Scholar
PubMed

Svetlana Yazhuk

Svetlana Yazhuk Operations and Engineering Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, Maryland, USA

Search for other papers by Svetlana Yazhuk in
Google Scholar
PubMed

Thai Tran

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

Search for other papers by Thai Tran in
Google Scholar
PubMed

Manasi Gadkari

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

Search for other papers by Manasi Gadkari in
Google Scholar
PubMed

, and

Luis Miguel Franco

Luis Miguel Franco Functional Immunogenomics Unit, Systemic Autoimmunity Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland, USA

Search for other papers by Luis Miguel Franco in
Google Scholar
PubMed

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.