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AFED,一种用于黄曲霉基因表达谱分析的综合资源。

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

作者信息

Mack Brian M, Lebar Matthew D

机构信息

Food and Feed Safety Research, Southern Regional Research Center, Agriculture Research Service, United States Department of Agriculture (USDA), 1100 Allen Toussaint Blvd, New Orleans, LA 70124, United States.

出版信息

Database (Oxford). 2025 Apr 18;2025. doi: 10.1093/database/baaf033.

DOI:10.1093/database/baaf033
PMID:40250417
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12007493/
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.

摘要

黄曲霉表达数据库(AFED)是一个致力于探索黄曲霉基因表达的综合资源库。黄曲霉是一种重要的真菌病原体,它通过产生黄曲霉毒素污染农作物,对粮食安全构成威胁。鉴于黄曲霉毒素生物合成的复杂调控以及该重要病原体缺乏集中的表达数据资源,整合各种实验条件的数据库对于理解其生物学特性和制定控制策略至关重要。利用公开的RNA测序数据对来自52个实验的604个黄曲霉样本的基因表达丰度进行了量化。利用丰度数据,我们创建了一个可通过基于网络的界面访问的AFED,该界面允许方便地检查不同生长条件和生命周期阶段的基因表达谱。表达谱可以通过用于单基因查询的交互式条形图或用于多基因查询的热图进行可视化。还提供了一个基于包含至少1000万条比对读数的样本的基因共表达网络,该网络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情况。数据库网址:https://a-flavus-expression-db-jyqnpeuvta-uc.a.run.app 。

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