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CoExp:一个用于利用共表达网络的网络工具。

CoExp: A Web Tool for the Exploitation of Co-expression Networks.

作者信息

García-Ruiz Sonia, Gil-Martínez Ana L, Cisterna Alejandro, Jurado-Ruiz Federico, Reynolds Regina H, Cookson Mark R, Hardy John, Ryten Mina, Botía Juan A

机构信息

Institute of Neurology, University College London, London, United Kingdom.

NIHR Great Ormond Street Hospital Biomedical Research Centre, University College London, London, United Kingdom.

出版信息

Front Genet. 2021 Feb 24;12:630187. doi: 10.3389/fgene.2021.630187. eCollection 2021.

Abstract

Gene co-expression networks are a powerful type of analysis to construct gene groupings based on transcriptomic profiling. Co-expression networks make it possible to discover modules of genes whose mRNA levels are highly correlated across samples. Subsequent annotation of modules often reveals biological functions and/or evidence of cellular specificity for cell types implicated in the tissue being studied. There are multiple ways to perform such analyses with weighted gene co-expression network analysis (WGCNA) amongst one of the most widely used R packages. While managing a few network models can be done manually, it is often more advantageous to study a wider set of models derived from multiple independently generated transcriptomic data sets (e.g., multiple networks built from many transcriptomic sources). However, there is no software tool available that allows this to be easily achieved. Furthermore, the visual nature of co-expression networks in combination with the coding skills required to explore networks, makes the construction of a web-based platform for their management highly desirable. Here, we present the CoExp Web application, a user-friendly online tool that allows the exploitation of the full collection of 109 co-expression networks provided by the CoExpNets suite of R packages. We describe the usage of CoExp, including its contents and the functionality available through the family of CoExpNets packages. All the tools presented, including the web front- and back-ends are available for the research community so any research group can build its own suite of networks and make them accessible through their own CoExp Web application. Therefore, this paper is of interest to both researchers wishing to annotate their genes of interest across different brain network models and specialists interested in the creation of GCNs looking for a tool to appropriately manage, use, publish, and share their networks in a consistent and productive manner.

摘要

基因共表达网络是一种强大的分析类型,可基于转录组分析构建基因分组。共表达网络使发现那些在样本间mRNA水平高度相关的基因模块成为可能。对这些模块的后续注释通常会揭示所研究组织中涉及的细胞类型的生物学功能和/或细胞特异性证据。有多种方法可通过加权基因共表达网络分析(WGCNA)进行此类分析,WGCNA是最广泛使用的R包之一。虽然手动管理一些网络模型是可行的,但研究从多个独立生成的转录组数据集衍生出的更广泛的模型集(例如,从许多转录组来源构建的多个网络)通常更具优势。然而,目前没有可用的软件工具能轻松实现这一点。此外,共表达网络的可视化特性以及探索网络所需的编码技能,使得构建一个基于网络的管理平台非常必要。在此,我们展示了CoExp网络应用程序,这是一个用户友好的在线工具,可利用由CoExpNets R包套件提供的109个共表达网络的完整集合。我们描述了CoExp的用法,包括其内容以及通过CoExpNets包系列可用的功能。所展示的所有工具,包括网络前端和后端,都可供研究社区使用,因此任何研究小组都可以构建自己的网络套件,并通过自己的CoExp网络应用程序使其可访问。因此,本文对于希望在不同脑网络模型中注释其感兴趣基因的研究人员以及对创建基因共表达网络感兴趣、正在寻找一种工具以便以一致且高效的方式适当地管理、使用、发布和共享其网络的专家来说都具有参考价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38ae/7943635/88abd220fb5b/fgene-12-630187-g001.jpg

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