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Quantitative characterization of the transcriptional regulatory network in the yeast cell cycle

机译:酵母细胞周期中转录调控网络的定量表征

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摘要

Motivation: Genome-wide gene expression programs have been monitored and analyzed in the yeast Saccharomyces cerevisiae, but how cells regulate global gene expression programs in response to environmental changes is still far from being understood. We present a systematic approach to quantitatively characterize the transcriptional regulatory network of the yeast cell cycle. For the interpretative purpose, 20 target genes were selected because their expression patterns fluctuated in a periodic manner concurrent with the cell cycle and peaked at different phases. In addition to the most significant five possible regulators of each specific target gene, the expression pattern of each target gene affected by synergy of the regulators during the cell cycle was characterized. Our first step includes modeling the dynamics of gene expression and extracting the transcription rate from a time-course microarray data. The second step embraces finding the regulators that possess a high correlation with the transcription rate of the target gene, and quantifying the regulatory abilities of the identified regulators. Results: Our network discerns not only the role of the activator or repressor for each specific regulator, but also the regulatory ability of the regulator to the transcription rate of the target gene. The highly coordinated regulatory network has identified a group of significant regulators responsible for the gene expression program through the cell cycle progress. This approach may be useful for computing the regulatory ability of the transcriptional regulatory networks in more diverse conditions and in more complex eukaryotes.
机译:动机:在酿酒酵母中已经监测和分析了全基因组的基因表达程序,但是,细胞如何调节整体基因表达程序以响应环境变化仍是未知的。我们提出了定量表征酵母细胞周期的转录调控网络的系统方法。出于解释的目的,选择了20个靶基因,因为它们的表达模式与细胞周期同时发生周期性波动并在不同阶段达到峰值。除了每个特定靶基因的最重要的五个可能的调节子之外,还表征了每个靶基因在细胞周期期间受调节子协同作用影响的表达模式。我们的第一步包括对基因表达的动力学进行建模,并从时程微阵列数据中提取转录速率。第二步包括找到与靶基因的转录速率具有高度相关性的调节子,并定量鉴定出的调​​节子的调节能力。结果:我们的网络不仅识别每个特定调节子的激活子或阻遏子的作用,而且还识别该调节子对靶基因转录速率的调节能力。高度协调的调节网络已经确定了一组重要的调节子,这些调节子通过细胞周期进程负责基因表达程序。该方法对于在更多样化的条件和更复杂的真核生物中计算转录调控网络的调控能力可能有用。

著录项

  • 来源
    《Bioinformatics》 |2004年第12期|p. 1914-1927|共14页
  • 作者单位

    Department of Electrical Engineering, National Tsing Hua University, Hsinchu, 300, Taiwan;

    Department of Life Science and Institute of Bioinformatics and Structural Biology, National Tsing Hua University, Hsinchu, 300, Taiwan;

    Department of Life Science and Institute of Bioinformatics and Structural Biology, National Tsing Hua University, Hsinchu, 300, Taiwan;

    Department of Ecology and Evolution, University of Chicago, USA;

    Department of Electrical Engineering, National Tsing Hua University, Hsinchu, 300, Taiwan;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物科学;
  • 关键词

  • 入库时间 2022-08-17 23:50:18

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