在Arabidopsis和Oryza中推断和优先考虑组织特异性调节素
Honggang Dai1, Yaxin Fan1, Yichao Mei1
1Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, 430070 China.
aBIOTECH
|September 16, 2024
概括
我们开发了InferReg,这是一种新的管道,用于识别植物中的组织特异性基因调节子. InferReg准确地预测了转录因子-点基因相互作用,改善了对植物发育和分化的理解.
科学领域:
- 植物分子生物学 植物分子生物学
- 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:
- 基因调节对生物功能至关重要,由转录因子 (TF) 控制.
- 识别组织特异性调节因子对于理解植物发育和分化至关重要.
- 现有的方法在预测复杂的监管网络时可能缺乏准确性.
研究的目的:
- 开发和验证一个新的计算管道InferReg,用于推断组织特异性基因规则.
- 为了提高识别转录因子-向基因相互作用的准确性.
- 探索调节素在不同植物物种组织分化中的作用.
主要方法:
- InferReg利用3400个Arabidopsis转录组的基因表达矩阵通过共同表达模式进行初始TF-TG关系预测.
- 集成TF结合点丰富分析,以完善预测的相互作用和消除假阳性.
- 使用在ChIP-seq数据上训练的图形卷积网络来提高监管网络的准确性.
主要成果:
- InferReg成功地在五种Arabidopsis组织 (花,叶子,根,种子,幼苗) 中识别了已知的和新的组织特异性调节素.
- 使用Borda排名对Regulon活动进行了排名,与现有数据库相比显示出高可靠性.
- 该管道通过识别大米 (Oryza) 中的组织特异性调节素来证明其广泛适用性.
结论:
- InferReg是一种有效的工具,用于发现植物中的组织特异性基因调节子.
- 该管道增强了对TF-TG监管逻辑及其在组织分化中的作用的理解.
- InferReg的跨物种适用性突显了它对更广泛的基因组研究的潜力.
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