AFED, a comprehensive resource for Aspergillus flavus gene expression profiling.

IF 3.4 4区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Brian M Mack, Matthew D Lebar
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引用次数: 0

Abstract

The Aspergillus flavus expression database (AFED) is a comprehensive resource dedicated to exploring gene expression in A. flavus, a significant fungal pathogen that threatens food security by contaminating crops with aflatoxin. Given the complex regulation of aflatoxin biosynthesis and the lack of centralized expression data resources for this important pathogen, a database integrating diverse experimental conditions is essential for understanding its biology and developing control strategies. Public RNA sequencing data were used to quantify gene expression abundance for 604 A. flavus samples from 52 experiments. Using abundance data, we created an AFED accessible through a web-based interface that allows for the expression profiles of genes to be conveniently examined across different growth conditions and life cycle stages. Expression profiles can be visualized through either an interactive bar plot for single gene queries or a heatmap for multiple gene queries. A gene co-expression network based on samples containing at least 10 million mapped reads is also available, which allows users to identify genes that are co-expressed with an individual gene or set of genes and displays the functional enrichment among the co-expressed genes. Database URL: https://a-flavus-expression-db-jyqnpeuvta-uc.a.run.app.

AFED,黄曲霉基因表达谱的综合资源。
黄曲霉表达数据库(Aspergillus flavus expression database, AFED)是一个致力于探索黄曲霉基因表达的综合性资源,黄曲霉是一种重要的真菌病原体,通过黄曲霉毒素污染农作物,威胁粮食安全。鉴于黄曲霉毒素生物合成的复杂调控和缺乏集中的表达数据资源,一个整合多种实验条件的数据库对于了解其生物学和制定控制策略至关重要。利用公开RNA测序数据对52个实验604份黄曲霉样品的基因表达丰度进行定量分析。利用丰度数据,我们创建了一个可通过网络界面访问的AFED,该界面允许在不同的生长条件和生命周期阶段方便地检查基因的表达谱。表达谱可以通过单个基因查询的交互式条形图或多个基因查询的热图来可视化。基于包含至少1000万个映射reads的样本的基因共表达网络也可用,它允许用户识别与单个基因或一组基因共表达的基因,并显示共表达基因之间的功能富集。数据库地址:https://a-flavus-expression-db-jyqnpeuvta-uc.a.run.app。
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来源期刊
Database: The Journal of Biological Databases and Curation
Database: The Journal of Biological Databases and Curation MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
9.00
自引率
3.40%
发文量
100
审稿时长
>12 weeks
期刊介绍: Huge volumes of primary data are archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent. The archiving, curation, analysis and interpretation of all of these data are a challenge. Database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data. Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research and biocuration, and aims to help strengthen the bridge between database developers, curators, and users.
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