Literature DB >> 19575585

Short-read sequencing technologies for transcriptional analyses.

Stacey A Simon1, Jixian Zhai, Raja Sekhar Nandety, Kevin P McCormick, Jia Zeng, Diego Mejia, Blake C Meyers.   

Abstract

The technological advances in DNA sequencing over the past five years have changed our approaches to gene expression analysis, fundamentally altering the basic methods used and in most cases driving a shift from hybridization-based approaches to sequencing-based approaches. Quantitative, tag-based studies of gene expression were one of the earliest applications of these next-generation technologies, but the tremendous depth of sequencing facilitates de novo transcript discovery, which replaces traditional expressed sequence tag (EST) sequencing. In addition, these technologies have created new opportunities for understanding the generation, stability, and decay of RNA and the impacts of chromatin differences on gene expression. As we review the impact of these methods on plant biology, we also mention published studies from animal systems when the methods are broadly applicable. We can anticipate that the published work over the past few years is a harbinger of much broader studies that are yet to be published and are sure to further advance our understanding of plant genomes in a field changing at a dizzying pace.

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Year:  2009        PMID: 19575585     DOI: 10.1146/annurev.arplant.043008.092032

Source DB:  PubMed          Journal:  Annu Rev Plant Biol        ISSN: 1543-5008            Impact factor:   26.379


  42 in total

1.  Global analysis of the transcriptional response of whitefly to tomato yellow leaf curl China virus reveals the relationship of coevolved adaptations.

Authors:  Jun-Bo Luan; Jun-Min Li; Nélia Varela; Yong-Liang Wang; Fang-Fang Li; Yan-Yuan Bao; Chuan-Xi Zhang; Shu-Sheng Liu; Xiao-Wei Wang
Journal:  J Virol       Date:  2011-01-26       Impact factor: 5.103

2.  Plant siRNAs from introns mediate DNA methylation of host genes.

Authors:  Dijun Chen; Yijun Meng; Chunhui Yuan; Lin Bai; Donglin Huang; Shaolei Lv; Ping Wu; Ling-Ling Chen; Ming Chen
Journal:  RNA       Date:  2011-04-25       Impact factor: 4.942

Review 3.  Applications of next generation sequencing in molecular ecology of non-model organisms.

Authors:  R Ekblom; J Galindo
Journal:  Heredity (Edinb)       Date:  2010-12-08       Impact factor: 3.821

Review 4.  Gene-expression profiling in rheumatic disease: tools and therapeutic potential.

Authors:  Jason W Bauer; Hatice Bilgic; Emily C Baechler
Journal:  Nat Rev Rheumatol       Date:  2009-05       Impact factor: 20.543

Review 5.  Integrated genomics and molecular breeding approaches for dissecting the complex quantitative traits in crop plants.

Authors:  Alice Kujur; Maneesha S Saxena; Deepak Bajaj; Swarup K Parida
Journal:  J Biosci       Date:  2013-12       Impact factor: 1.826

6.  De novo transcriptomic analysis and development of EST-SSRs for Sorbus pohuashanensis (Hance) Hedl.

Authors:  Congcong Liu; Ying Dou; Xuelian Guan; Qiang Fu; Ze Zhang; Zenghui Hu; Jian Zheng; Yizeng Lu; Wei Li
Journal:  PLoS One       Date:  2017-06-14       Impact factor: 3.240

7.  Transcriptome dynamics through alternative polyadenylation in developmental and environmental responses in plants revealed by deep sequencing.

Authors:  Yingjia Shen; R C Venu; Kan Nobuta; Xiaohui Wu; Varun Notibala; Caghan Demirci; Blake C Meyers; Guo-Liang Wang; Guoli Ji; Qingshun Q Li
Journal:  Genome Res       Date:  2011-08-03       Impact factor: 9.043

8.  Global epigenetic and transcriptional trends among two rice subspecies and their reciprocal hybrids.

Authors:  Guangming He; Xiaopeng Zhu; Axel A Elling; Liangbi Chen; Xiangfeng Wang; Lan Guo; Manzhong Liang; Hang He; Huiyong Zhang; Fangfang Chen; Yijun Qi; Runsheng Chen; Xing-Wang Deng
Journal:  Plant Cell       Date:  2010-01-19       Impact factor: 11.277

9.  Analysis of antisense expression by whole genome tiling microarrays and siRNAs suggests mis-annotation of Arabidopsis orphan protein-coding genes.

Authors:  Casey R Richardson; Qing-Jun Luo; Viktoria Gontcharova; Ying-Wen Jiang; Manoj Samanta; Eunseog Youn; Christopher D Rock
Journal:  PLoS One       Date:  2010-05-26       Impact factor: 3.240

10.  A simple optimization can improve the performance of single feature polymorphism detection by Affymetrix expression arrays.

Authors:  Youko Horiuchi; Yoshiaki Harushima; Hironori Fujisawa; Takako Mochizuki; Masanori Kawakita; Takayuki Sakaguchi; Nori Kurata
Journal:  BMC Genomics       Date:  2010-05-20       Impact factor: 3.969

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