Prediction of anther-expressed gene regulation in Arabidopsis
Prediction of anther-expressed gene regulation in Arabidopsis
复制标题
拟南芥花药表达基因调控的预测
DOI：
10.1007/s11434-008-0381-7
复制
发表时间：
2008-10
期刊：
影响因子：
--
通讯作者：
Yang JJ
中科院分区：
文献类型：
--
作者：
Yu QB;Wang G;Huang JF;Yang ZN;Yang JJ
拟南芥是植物生物学和遗传学的重要模式植物，其花药发育受复杂的基因网络控制。尽管该属被广泛用于基因研究，但人们对其调控网络知之甚少。本文采用基因芯片数据挖掘与启动子分析相结合的综合生物信息学方法，对拟南芥花药发育中表达基因之间的直接转录调控关系进行了预测。共获得7710个转录因子-基因对。从最初的7710对中筛选出了80个可信度最高的直接调控关系；80个直接调控关系中的3个经过了之前的实验验证。结果表明，我们的预测结果是可靠的。本研究揭示的调控关系可能有助于进一步研究花药发育的分子机制。这项工作中使用的生物信息学方法也可以应用于其他生物中基因调控关系的预测。
Anther development in Arabidopsis, a popular model plant for plant biology and genetics, is controlled by a complex gene network. Despite the extensive use of this genus for genetic research, little is known about its regulatory network. In this paper, the direct transcriptional regulatory relationships between genes expressed in Arabidopsis anther development were predicted with an integrated bioinformatic method that combines mining of microarray data with promoter analysis. A total of 7710 transcription factor-gene pairs were obtained. The 80 direct regulatory relationships demonstrating the highest confidence were screened from the initial 7710 pairs; three of the 80 were validated by previous experiments. The results indicate that our predicted results were reliable. The regulatory relationships revealed by this research and described in this paper may facilitate further investigation of the molecular mechanisms of anther development. The bioinformatic method used in this work can also be applied to the prediction of gene regulatory relationships in other organisms.
登录
查看更多内容
邮票：用于探索DNA结合基序相似性的网络工具。
影响因子：
14.9
作者：
Mahony, Shaun;Benos, Panayiotis V
通讯作者：
Benos, Panayiotis V
人肝细胞中的核心转录调节电路。
影响因子：
9.9
作者：
通讯作者：
--
影响因子：
11.6
作者：
Espinosa-soto, C;Padilla-Longoria, P;Alvarez-Buylla, ER
通讯作者：
Alvarez-Buylla, ER
DOI：
10.1105/tpc.021741
发表时间：
2004-05
期刊：
The Plant Cell Online
影响因子：
--
作者：
F. Wellmer;J. Riechmann;M. Alves-Ferreira;E. Meyerowitz
通讯作者：
F. Wellmer;J. Riechmann;M. Alves-Ferreira;E. Meyerowitz
影响因子：
5.8
作者：
Tamada, Yoshinori;Kim, SunYong;Miyano, Satoru
通讯作者：
Miyano, Satoru