转录调控回路：从字母预测数量
Transcriptional regulatory circuits: predicting numbers from alphabets.
作者信息
Kim Harold D, Shay Tal, O'Shea Erin K, Regev Aviv
机构信息
Howard Hughes Medical Institute, Harvard University Faculty of Arts and Sciences Center for Systems Biology, Department of Molecular and Cellular Biology, Cambridge, MA 02138, USA.
出版信息
Science. 2009 Jul 24;325(5939):429-32. doi: 10.1126/science.1171347.
Abstract
Transcriptional regulatory circuits govern how cis and trans factors transform signals into messenger RNA (mRNA) expression levels. With advances in quantitative and high-throughput technologies that allow measurement of gene expression state in different conditions, data that can be used to build and test models of transcriptional regulation is being generated at a rapid pace. Here, we review experimental and computational methods used to derive detailed quantitative circuit models on a small scale and cruder, genome-wide models on a large scale. We discuss the potential of combining small- and large-scale approaches to understand the working and wiring of transcriptional regulatory circuits.
摘要
转录调控回路决定了顺式和反式因子如何将信号转化为信使核糖核酸（mRNA）的表达水平。随着定量和高通量技术的进步，这些技术能够在不同条件下测量基因表达状态，可用于构建和测试转录调控模型的数据正在迅速生成。在这里，我们回顾了用于在小规模上推导详细定量回路模型以及在大规模上推导更粗略的全基因组模型的实验和计算方法。我们讨论了结合小规模和大规模方法来理解转录调控回路的工作原理和连接方式的潜力。
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