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基于网络的时间基因表达模式比较。

Network-based comparison of temporal gene expression patterns.

机构信息

Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA.

出版信息

Bioinformatics. 2010 Dec 1;26(23):2944-51. doi: 10.1093/bioinformatics/btq561. Epub 2010 Sep 30.

Abstract

MOTIVATION

In the pursuits of mechanistic understanding of cell differentiation, it is often necessary to compare multiple differentiation processes triggered by different external stimuli and internal perturbations. Available methods for comparing temporal gene expression patterns are limited to a gene-by-gene approach, which ignores co-expression information and thus is sensitive to measurement noise.

METHODS

We present a method for co-expression network based comparison of temporal expression patterns (NACEP). NACEP compares the temporal patterns of a gene between two experimental conditions, taking into consideration all of the possible co-expression modules that this gene may participate in. The NACEP program is available at http://biocomp.bioen.uiuc.edu/nacep.

RESULTS

We applied NACEP to analyze retinoid acid (RA)-induced differentiation of embryonic stem (ES) cells. The analysis suggests that RA may facilitate neural differentiation by inducing the shh and insulin receptor pathways. NACEP was also applied to compare the temporal responses of seven RNA inhibition (RNAi) experiments. As proof of concept, we demonstrate that the difference in the temporal responses to RNAi treatments can be used to derive interaction relationships of transcription factors (TFs), and therefore infer regulatory modules within a transcription network. In particular, the analysis suggested a novel regulatory relationship between two pluripotency regulators, Esrrb and Tbx3, which was supported by in vivo binding of Esrrb to the promoter of Tbx3.

AVAILABILITY

The NACEP program and the supplementary documents are available at http://biocomp.bioen.uiuc.edu/nacep.

CONTACT

szhong@illinois.edu

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

摘要

动机

在探索细胞分化的机制理解过程中,通常需要比较由不同外部刺激和内部干扰引发的多种分化过程。现有的比较时间基因表达模式的方法仅限于基因对基因的方法,这种方法忽略了共表达信息,因此容易受到测量噪声的影响。

方法

我们提出了一种基于共表达网络的比较时间表达模式的方法(NACEP)。NACEP 比较了两个实验条件下基因的时间模式,同时考虑了该基因可能参与的所有可能的共表达模块。NACEP 程序可在 http://biocomp.bioen.uiuc.edu/nacep 获得。

结果

我们应用 NACEP 分析了视黄酸(RA)诱导的胚胎干细胞(ES)分化。分析表明,RA 可能通过诱导 shh 和胰岛素受体途径来促进神经分化。NACEP 还被应用于比较七个 RNA 干扰(RNAi)实验的时间反应。作为概念验证,我们证明了 RNAi 处理的时间反应差异可用于推导出转录因子(TF)的相互作用关系,并因此推断转录网络内的调节模块。具体而言,该分析表明了两个多能性调节剂 Esrrb 和 Tbx3 之间的新的调控关系,Esrrb 与 Tbx3 启动子的体内结合支持了这一关系。

可用性

NACEP 程序和补充文件可在 http://biocomp.bioen.uiuc.edu/nacep 获得。

联系方式

szhong@illinois.edu

补充信息

补充数据可在生物信息学在线获得。

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