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

IF 3.6 4区 医学 Q2 ENDOCRINOLOGY & METABOLISM Journal of molecular endocrinology Pub Date : 2021-12-10 DOI:10.1530/JME-21-0107
Qilin Cao, Yamil Boo Irizarry, Svetlana Yazhuk, Thai Tran, Manasi Gadkari, Luis Miguel Franco
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引用次数: 1

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.

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GCgx:糖皮质激素应答的转录组范围探索。
糖皮质激素是人类免疫抑制和抗炎治疗的基础,但糖皮质激素的免疫调节机制和毒性尚不清楚。对糖皮质激素的反应高度依赖于细胞类型,因此,将不同实验系统的结果转化为更好地理解人类对糖皮质激素的作用,将受益于快速获取不同细胞类型对糖皮质激素反应的高质量数据。我们介绍GCgx,一个网络应用程序,允许研究人员快速可视化转录物丰度的变化,以响应糖皮质激素在各种细胞和物种。该工具被设计为通过添加基于用户社区输入的数据集来增长。GCgx是用R和HTML实现的,并打包为Docker镜像。该工具及其源代码是公开的。
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来源期刊
Journal of molecular endocrinology
Journal of molecular endocrinology 医学-内分泌学与代谢
CiteScore
6.90
自引率
0.00%
发文量
96
审稿时长
1 months
期刊介绍: The Journal of Molecular Endocrinology is an official journal of the Society for Endocrinology and is endorsed by the European Society of Endocrinology and the Endocrine Society of Australia. Journal of Molecular Endocrinology is a leading global journal that publishes original research articles and reviews. The journal focuses on molecular and cellular mechanisms in endocrinology, including: gene regulation, cell biology, signalling, mutations, transgenics, hormone-dependant cancers, nuclear receptors, and omics. Basic and pathophysiological studies at the molecule and cell level are considered, as well as human sample studies where this is the experimental model of choice. Technique studies including CRISPR or gene editing are also encouraged.
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