Makai Szabolcs, Éva Csaba, Tamás László, Juhász Angéla
Applied Genomics Department, Agricultural Institute, Centre for Agricultural Research, Hungarian Academy of Sciences, Martonvásár, 2462, Hungary.
Department of Plant Physiology and Molecular Biology, Eötvös Loránd University, Budapest, 1117, Hungary.
Funct Integr Genomics. 2015 Nov;15(6):661-72. doi: 10.1007/s10142-015-0441-4. Epub 2015 Apr 17.
Analysis of gene expression data generated by high-throughput microarray transcript profiling experiments coupled with cis-regulatory elements enrichment study and cluster analysis can be used to define modular gene programs and regulatory networks. Unfortunately, the high molecular weight glutenin subunits of wheat (Triticum aestivum) are more similar than microarray data alone would allow to distinguish between the three homoeologous gene pairs. However, combining complementary DNA (cDNA) expression libraries with microarray data, a co-expressional network was built that highlighted the hidden differences between these highly similar genes. Duplex clusters of cis-regulatory elements were used to focus the co-expressional network of transcription factors to the putative regulatory network of Glu-1 genes. The focused network helped to identify several transcriptional gene programs in the endosperm. Many of these programs demonstrated a conserved temporal pattern across the studied genotypes; however, few others showed variance. Based on this network, transient gene expression assays were performed with mutated promoters to inspect the control of tissue specificity. Results indicated that the interactions of the ABRE│CBF cluster with distal promoter regions may have a dual role in regulation by both recruiting the transcription complex as well as suppressing it in non-endosperm tissue. A putative model of regulation is discussed.
通过高通量微阵列转录谱分析实验生成的基因表达数据,结合顺式调控元件富集研究和聚类分析,可用于定义模块化基因程序和调控网络。不幸的是,小麦(Triticum aestivum)的高分子量谷蛋白亚基之间的相似性较高,仅靠微阵列数据难以区分这三对同源基因对。然而,将互补DNA(cDNA)表达文库与微阵列数据相结合,构建了一个共表达网络,突出了这些高度相似基因之间隐藏的差异。利用顺式调控元件的双链簇,将转录因子的共表达网络聚焦到Glu-1基因的假定调控网络上。这个聚焦网络有助于识别胚乳中的几个转录基因程序。其中许多程序在研究的基因型中表现出保守的时间模式;然而,其他一些程序则表现出差异。基于这个网络,用突变启动子进行了瞬时基因表达分析,以检查组织特异性的控制。结果表明,ABRE│CBF簇与远端启动子区域的相互作用可能在调控中具有双重作用,既可以招募转录复合体,也可以在非胚乳组织中抑制它。本文讨论了一个假定的调控模型。