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共表达网络鉴定 DHX15 RNA 解旋酶为 B 细胞调控因子。

Co-expression Networks Identify DHX15 RNA Helicase as a B Cell Regulatory Factor.

机构信息

Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, United States.

Department of Immunology & Respiratory Disease Research, Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, United States.

出版信息

Front Immunol. 2019 Dec 10;10:2903. doi: 10.3389/fimmu.2019.02903. eCollection 2019.

Abstract

Genome-wide co-expression analysis is often used for annotating novel gene functions from high-dimensional data. Here, we developed an R package with a Shiny visualization app that creates immuno-networks from RNAseq data using a combination of Weighted Gene Co-expression Network Analysis (WGCNA), xCell immune cell signatures, and Bayesian Network Learning. Using a large publicly available RNAseq dataset we generated a Gene Module-Immune Cell (GMIC) network that predicted causal relationships between DEAH-box RNA helicase (DHX)15 and genes associated with humoral immunity, suggesting that DHX15 may regulate B cell fate. Deletion of DHX15 in mouse B cells led to impaired lymphocyte development, reduced peripheral B cell numbers, and dysregulated expression of genes linked to antibody-mediated immune responses similar to the genes predicted by the GMIC network. Moreover, antigen immunization of mice demonstrated that optimal primary IgG1 responses required DHX15. Intrinsic expression of DHX15 was necessary for proliferation and survival of activated of B cells. Altogether, these results support the use of co-expression networks to elucidate fundamental biological processes.

摘要

全基因组共表达分析常用于从高维数据中注释新的基因功能。在这里,我们开发了一个带有 Shiny 可视化应用程序的 R 包,该应用程序使用加权基因共表达网络分析 (WGCNA)、xCell 免疫细胞特征和贝叶斯网络学习,从 RNAseq 数据创建免疫网络。使用大型公开可用的 RNAseq 数据集,我们生成了一个基因模块-免疫细胞 (GMIC) 网络,该网络预测了 DEAH 框 RNA 解旋酶 (DHX)15 与与体液免疫相关的基因之间的因果关系,表明 DHX15 可能调节 B 细胞命运。在小鼠 B 细胞中删除 DHX15 导致淋巴细胞发育受损、外周 B 细胞数量减少以及与抗体介导的免疫反应相关的基因表达失调,与 GMIC 网络预测的基因相似。此外,对小鼠进行抗原免疫表明,DHX15 是最佳的初始 IgG1 反应所必需的。DHX15 的内在表达对于激活的 B 细胞的增殖和存活是必需的。总之,这些结果支持使用共表达网络来阐明基本的生物学过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a2/6915936/30c4e1b1e821/fimmu-10-02903-g0001.jpg

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