Vuylsteke Marnik, Peleman Johan D, van Eijk Michiel J T
Department of Plant Systems Biology, VIB, Technologiepark 927, B-9052 Ghent, Belgium.
Nat Protoc. 2007;2(6):1399-413. doi: 10.1038/nprot.2007.174.
Although DNA microarrays are currently the standard tool for genome-wide expression analysis, their application is limited to organisms for which the complete genome sequence or large collections of known transcript sequences are available. Here, we describe a protocol for cDNA-AFLP, an AFLP-based transcript profiling method that allows genome-wide expression analysis in any species without the need for prior sequence knowledge. In essence, the cDNA-AFLP method involves reverse transcription of mRNA into double-stranded cDNA, followed by restriction digestion, ligation of specific adapters and fractionation of this mixture of cDNA fragments into smaller subsets by selective PCR amplification. The resulting cDNA-AFLP fragments are separated on high-resolution gels, and visualization of cDNA-AFLP fingerprints is described using either a conventional autoradiography platform or an automated LI-COR system. Observed differences in band intensities between samples provide a good measure of the relative differences in the gene expression levels. Identification of differentially expressed genes can be accomplished by purifying cDNA-AFLP fragments from sequence gels and subsequent sequencing. This method has found widespread use as an attractive technology for gene discovery on the basis of fragment detection and for temporal quantitative gene expression analysis. The protocol can be completed in 3-4 d.
虽然DNA微阵列目前是全基因组表达分析的标准工具,但其应用仅限于那些拥有完整基因组序列或大量已知转录本序列集合的生物体。在此,我们描述了一种cDNA-AFLP的实验方案,这是一种基于AFLP的转录本谱分析方法,它能够在无需先验序列知识的情况下对任何物种进行全基因组表达分析。本质上,cDNA-AFLP方法包括将mRNA逆转录成双链cDNA,随后进行限制性消化、连接特异性接头,并通过选择性PCR扩增将该cDNA片段混合物分离成更小的亚组。所得的cDNA-AFLP片段在高分辨率凝胶上分离,并且可以使用传统的放射自显影平台或自动化的LI-COR系统来描述cDNA-AFLP指纹图谱的可视化。观察到的样品间条带强度差异为基因表达水平的相对差异提供了一个很好的衡量指标。通过从序列凝胶中纯化cDNA-AFLP片段并随后进行测序,可以实现差异表达基因的鉴定。该方法作为一种基于片段检测的有吸引力的基因发现技术以及用于时间定量基因表达分析已得到广泛应用。该实验方案可在3-4天内完成。