Next-generation sequencing technologies for gene expression profiling in plants

被引:117
|
作者
Jain, Mukesh [1 ]
机构
[1] Natl Inst Plant Genome Res, New Delhi 110067, India
关键词
gene expression profiling; next-generation sequencing; RNA-seq; transcriptome; RNA-SEQ DATA; DIFFERENTIAL EXPRESSION; SPLICE JUNCTIONS; GLYCINE-MAX; TRANSCRIPTOME; QUANTIFICATION; COMPLEXITY; RESOLUTION; ANNOTATION; LANDSCAPE;
D O I
10.1093/bfgp/elr038
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Next-generation sequencing (NGS) provides a better approach to gene expression profiling with several advantages. The power of NGS along with novel molecular techniques and computational tools allow the researchers to perform the gene expression profiling to reveal transcriptional complexity of an organism and answering several biological questions. Although many studies for gene expression profiling related to various aspects have been performed in animal systems revealing unprecedented levels of complexity of transcriptomes, their use is still limited in plant biology. This review describes the use of NGS technologies with respect to gene expression profiling, bioinformatics challenges associated with data analysis and advances made so far in the plant biology research. We anticipate many more studies in recent future, which will surely advance our understanding of the complexity of plant genomes.
引用
收藏
页码:63 / 70
页数:8
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