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A transcriptional dynamic network during Arabidopsis thaliana pollen development

机译:拟南芥花粉发育过程中的转录动态网络。

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摘要

BackgroundTo understand transcriptional regulatory networks (TRNs), especially the coordinated dynamic regulation between transcription factors (TFs) and their corresponding target genes during development, computational approaches would represent significant advances in the genome-wide expression analysis. The major challenges for the experiments include monitoring the time-specific TFs' activities and identifying the dynamic regulatory relationships between TFs and their target genes, both of which are currently not yet available at the large scale. However, various methods have been proposed to computationally estimate those activities and regulations. During the past decade, significant progresses have been made towards understanding pollen development at each development stage under the molecular level, yet the regulatory mechanisms that control the dynamic pollen development processes remain largely unknown. Here, we adopt Networks Component Analysis (NCA) to identify TF activities over time couse, and infer their regulatory relationships based on the coexpression of TFs and their target genes during pollen development.
机译:背景技术为了了解转录调控网络(TRN),尤其是在发育过程中转录因子(TF)及其对应的靶基因之间的协调动态调控,计算方法将代表全基因组表达分析的重大进展。实验的主要挑战包括监视特定时间的TF的活动,并确定TF及其靶基因之间的动态调节关系,目前这两种方法尚无法大规模使用。但是,已经提出了各种方法来计算估计这些活动和法规。在过去的十年中,在了解分子水平上每个发育阶段的花粉发育方面已经取得了重大进展,但是控制动态花粉发育过程的调节机制仍然未知。在这里,我们采用网络成分分析(NCA)来识别TF随时间推移的活动,并根据花粉发育过程中TF及其目标基因的共表达来推断其调控关系。

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