Sreenivasulu Nese, Sunkar Ramanjulu, Wobus Ulrich, Strickert Marc
Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
Methods Mol Biol. 2010;639:71-93. doi: 10.1007/978-1-60761-702-0_5.
Current microarray technologies allow high-density in situ synthesis of oligonucleotides or ex situ spotting of target molecules (cDNA) for conducting genome-wide comparative gene expression profiling studies. The avalanche of available microarray gene expression data from model plant species covering cell-related, tissue-specific, and developmental events, as well as perturbations to a variety of environmental stimuli has triggered many activities regarding the development of adequate bioinformatics tools for the analysis of these complex data sets. In this chapter we summarize the technical issues of different microarray technologies, discuss the availability of bioinformatics tools, and present approaches to extract biologically meaningful knowledge. For case studies of abiotic stress transcriptome analysis we highlight the unprecedented opportunities provided by these high-throughput technologies to understand networks of regulatory and metabolic pathway responses of plant cells to the application of abiotic stress stimuli.
当前的微阵列技术允许寡核苷酸的高密度原位合成或靶分子(cDNA)的异位点样,用于进行全基因组比较基因表达谱研究。来自模式植物物种的大量可用微阵列基因表达数据涵盖了细胞相关、组织特异性和发育事件,以及对各种环境刺激的扰动,这引发了许多关于开发适当的生物信息学工具以分析这些复杂数据集的活动。在本章中,我们总结了不同微阵列技术的技术问题,讨论了生物信息学工具的可用性,并介绍了提取具有生物学意义的知识的方法。对于非生物胁迫转录组分析的案例研究,我们强调了这些高通量技术为理解植物细胞对非生物胁迫刺激应用的调控和代谢途径反应网络提供的前所未有的机会。