Henckel Kolja, Küster Helge, Stutz Leonhard J, Goesmann Alexander
Bioinformatics of Signaling Networks, Center for Biotechnology, Bielefeld University, Germany.
BMC Res Notes. 2010 Oct 19;3:262. doi: 10.1186/1756-0500-3-262.
Expressed Sequence Tags (ESTs) are in general used to gain a first insight into gene activities from a species of interest. Subsequently, and typically based on a combination of EST and genome sequences, microarray-based expression analyses are performed for a variety of conditions. In some cases, a multitude of EST and microarray experiments are conducted for one species, covering different tissues, cell states, and cell types. Under these circumstances, the challenge arises to combine results derived from the different expression profiling strategies, with the goal to uncover novel information on the basis of the integrated datasets.
Using our new analysis tool, MediPlEx (MEDIcago truncatula multiPLe EXpression analysis), expression data from EST experiments, oligonucleotide microarrays and Affymetrix GeneChips® can be combined and analyzed, leading to a novel approach to integrated transcriptome analysis. We have validated our tool via the identification of a set of well-characterized AM-specific and AM-induced marker genes, identified by MediPlEx on the basis of in silico and experimental gene expression profiles from roots colonized with AM fungi.
MediPlEx offers an integrated analysis pipeline for different sets of expression data generated for the model legume Medicago truncatula. As expected, in silico and experimental gene expression data that cover the same biological condition correlate well. The collection of differentially expressed genes identified via MediPlEx provides a starting point for functional studies in plant mutants. MediPlEx can freely be used at http://www.cebitec.uni-bielefeld.de/mediplex.
表达序列标签(ESTs)通常用于初步了解目标物种的基因活性。随后,通常基于EST和基因组序列的组合,针对各种条件进行基于微阵列的表达分析。在某些情况下,针对一个物种进行大量的EST和微阵列实验,涵盖不同的组织、细胞状态和细胞类型。在这种情况下,出现了将不同表达谱分析策略得出的结果进行整合的挑战,目标是在整合数据集的基础上揭示新信息。
使用我们的新分析工具MediPlEx(蒺藜苜蓿多重表达分析),可以对EST实验、寡核苷酸微阵列和Affymetrix GeneChips®的表达数据进行整合和分析,从而产生一种新的整合转录组分析方法。我们通过鉴定一组特征明确的丛枝菌根(AM)特异性和AM诱导的标记基因验证了我们的工具,这些基因是MediPlEx根据来自AM真菌定殖根的计算机模拟和实验基因表达谱鉴定出来的。
MediPlEx为为模式豆科植物蒺藜苜蓿生成的不同表达数据集提供了一个整合分析流程。正如预期的那样,涵盖相同生物学条件的计算机模拟和实验基因表达数据相关性良好。通过MediPlEx鉴定出的差异表达基因集合为植物突变体的功能研究提供了一个起点。可以在http://www.cebitec.uni-bielefeld.de/mediplex免费使用MediPlEx。