Utilizing tiling microarrays for whole-genome analysis in plants

被引:29
作者
Gregory, Brian D. [1 ,2 ]
Yazaki, Junshi [1 ,2 ]
Ecker, Joseph R. [1 ,2 ]
机构
[1] Salk Inst Biol Studies, Plant Biol Lab, La Jolla, CA 92037 USA
[2] Salk Inst Biol Studies, Genom Anal Lab, La Jolla, CA 92037 USA
关键词
tiling microarrays; transcriptome; natural variation; methylome; ChIP-chip; alternative splicing;
D O I
10.1111/j.1365-313X.2007.03320.x
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
The recent explosion in available genome sequence data has ushered in an era in which analysis of a whole genome can be performed in a single experiment. While DNA microarrays have long been the established technology for measuring gene expression levels, standard expression arrays use relatively few probes for each gene and are typically biased toward known and predicted gene structures. Recently, with the availability of complete genome sequences for many organisms, very-high-density oligonucleotide-based microarrays that span the entire genome have emerged as the preferred platform for genomic analysis. Whole-genome tiling microarrays can be employed for a myriad of purposes, including empirical annotation of the transcriptome, chromatin immunoprecipitation-chip studies, analysis of alternative RNA splicing, characterization of the methylation state of cytosine bases throughout a genome (methylome), and DNA polymorphism discovery. Here, we review several applications of whole-genome technology to obtain a variety of genomic-scale information in plants.
引用
收藏
页码:636 / 644
页数:9
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