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大肠杆菌基因调控网络中结构与信使核糖核酸丰度之间的相关性。

The correlation between architecture and mRNA abundance in the genetic regulatory network of Escherichia coli.

作者信息

Grondin Yohann, Raine Derek J, Norris Vic

机构信息

Centre for Interdisciplinary Science, Department of Physics and Astronomy, University of Leicester, Leicester LE1 7RH, UK.

出版信息

BMC Syst Biol. 2007 Jul 17;1:30. doi: 10.1186/1752-0509-1-30.

DOI:10.1186/1752-0509-1-30
PMID:17640329
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1940267/
Abstract

BACKGROUND

Two aspects of genetic regulatory networks are the static architecture that describes the overall connectivity between the genes and the dynamics that describes the sequence of genes active at any one time as deduced from mRNA abundances. The nature of the relationship between these two aspects of these networks is a fundamental question. To address it, we have used the static architecture of the connectivity of the regulatory proteins of Escherichia coli to analyse their relationship to the abundance of the mRNAs encoding these proteins. In this we build on previous work which uses Boolean network models, but impose biological constraints that cannot be deduced from the mRNA abundances alone.

RESULTS

For a cell population of E. coli, we find that there is a strong and statistically significant linear dependence between the abundance of mRNA encoding a regulatory protein and the number of genes regulated by this protein. We use this result, together with the ratio of regulatory repressors to promoters, to simulate numerically a genetic regulatory network of a single cell. The resulting model exhibits similar correlations to that of E. coli.

CONCLUSION

This analysis clarifies the relationship between the static architecture of a regulatory network and the consequences for the dynamics of its pattern of mRNA abundances. It also provides the constraints on the architecture required to construct a model network to simulate mRNA production.

摘要

背景

基因调控网络的两个方面是静态结构,它描述了基因之间的整体连接性;以及动力学,它描述了根据mRNA丰度推断出的在任何时刻活跃的基因序列。这些网络的这两个方面之间关系的本质是一个基本问题。为了解决这个问题,我们利用大肠杆菌调控蛋白连接性的静态结构来分析它们与编码这些蛋白的mRNA丰度之间的关系。在此过程中,我们基于之前使用布尔网络模型的工作,但施加了仅从mRNA丰度无法推导出来的生物学约束。

结果

对于大肠杆菌的细胞群体,我们发现编码调控蛋白的mRNA丰度与该蛋白调控的基因数量之间存在强烈且具有统计学意义的线性相关性。我们利用这一结果,结合调控阻遏物与启动子的比例,对单个细胞的基因调控网络进行数值模拟。所得模型表现出与大肠杆菌相似的相关性。

结论

该分析阐明了调控网络的静态结构与其mRNA丰度模式动态变化结果之间的关系。它还为构建模拟mRNA产生的模型网络所需的结构提供了约束条件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eeb/1940267/bd7bdecde3f6/1752-0509-1-30-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eeb/1940267/bf7d83b067ba/1752-0509-1-30-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eeb/1940267/6f079d85793f/1752-0509-1-30-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eeb/1940267/cff2cd7ee536/1752-0509-1-30-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eeb/1940267/a8e2fc3137f2/1752-0509-1-30-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eeb/1940267/bd7bdecde3f6/1752-0509-1-30-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eeb/1940267/bf7d83b067ba/1752-0509-1-30-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eeb/1940267/6f079d85793f/1752-0509-1-30-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eeb/1940267/cff2cd7ee536/1752-0509-1-30-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eeb/1940267/a8e2fc3137f2/1752-0509-1-30-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eeb/1940267/bd7bdecde3f6/1752-0509-1-30-5.jpg

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