植物基因调节网络的实用指南:从RNA测序到识别转录因子结合位点
Joaquín Grau1, José M Franco-Zorrilla2
1Department of Plant Molecular Genetics, Centro Nacional de Biotecnología-CSIC, Madrid, Spain.
Methods in molecular biology (Clifton, N.J.)
|January 10, 2026
概括
这项研究引入了一个用户友好的生物信息学管道,用于识别植物转录因子 (TFs),利用RNA测序数据调节基因表达. 这种方法有助于揭示60种植物适应机制.
科学领域:
- 植物生物学 植物生物学
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 植物适应依赖于由转录因子 (TFs) 结合特定DNA位点 (TFBSs) 控制的转录重编程.
- 实验性识别TFBS是具有挑战性的,特别是在非模型工厂.
- 计算工具对于破译植物基因调节网络至关重要.
研究的目的:
- 介绍一种用于从RNA测序 (RNA-seq) 数据中推断TF调节者的计算方法.
- 为植物基因表达分析提供可访问的生物信息管道.
- 为了使研究人员能够研究植物适应的分子机制.
主要方法:
- RNA测序 (RNA-seq) 数据分析和基因表达量化.
- 权重基因共同表达网络分析 (WGCNA) 用于基因聚类和模块识别.
- 丰富分析以确定与共同调节的基因模块相关的转录因子结合位 (TFBS).
主要成果:
- 开发了一种方法来推断适用于60种植物物种的TF调节器.
- 该管道整合了RNA-seq分析,基因聚类和TFBS丰富.
- 这种方法在使用阿拉比多普西斯无生物应激RNA-seq数据时成功地证明了这一点.
结论:
- 开发的用户友好型管道使研究人员能够分析植物中的基因表达动态.
- 这种方法促进了植物适应的基础分子基的解.
- 这种方法使得复杂的基因表达分析更容易被科学界所接受.
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