RNA-seq: from technology to biology.
RNA-seq: from technology to biology.
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DOI：
10.1007/s00018-009-0180-6
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发表时间：
2010-02
影响因子：
8
通讯作者：
Baehler, Juerg
中科院分区：
文献类型：
--
作者：
Marguerat, Samuel;Baehler, Juerg
关键词：
下一代测序技术现在不仅被用于分析静态基因组，还被用于分析动态转录组，称为RNA-seq。尽管这些强大且快速发展的技术才出现了几年，但它们已经为我们理解基因组表达和调控做出了重大贡献。在这里，我们简要描述了伴随RNA-seq数据生成和分析的技术问题，强调了与基于阵列的方法的差异。然后，我们回顾了最近从应用RNA-seq和相关方法在不同细胞类型或生理条件下对转录组进行深入采样中获得的生物学见解。这些方法提供了关于转录和转录后基因调控的迷人信息，并且它们还以前所未有的分辨率在全球范围内对转录本结构和处理的丰富性提供了独特的见解。
Next-generation sequencing technologies are now being exploited not only to analyse static genomes, but also dynamic transcriptomes in an approach termed RNA-seq. Although these powerful and rapidly evolving technologies have only been available for a couple of years, they are already making substantial contributions to our understanding of genome expression and regulation. Here, we briefly describe technical issues accompanying RNA-seq data generation and analysis, highlighting differences to array-based approaches. We then review recent biological insight gained from applying RNA-seq and related approaches to deeply sample transcriptomes in different cell types or physiological conditions. These approaches are providing fascinating information about transcriptional and post-transcriptional gene regulation, and they are also giving unique insight into the richness of transcript structures and processing on a global scale and at unprecedented resolution.
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影响因子：
7
作者：
Chaisson, Mark J.;Pevzner, Pavel A.
通讯作者：
Pevzner, Pavel A.
影响因子：
12.3
作者：
Denoeud F;Aury JM;Da Silva C;Noel B;Rogier O;Delledonne M;Morgante M;Valle G;Wincker P;Scarpelli C;Jaillon O;Artiguenave F
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Artiguenave F
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48
作者：
Cloonan, Nicole;Forrest, Alistair R. R.;Grimmond, Sean M.
通讯作者：
Grimmond, Sean M.
影响因子：
2.6
作者：
Bertone, P;Gerstein, M;Snyder, M
通讯作者：
Snyder, M
影响因子：
4.4
作者：
Hahn DA;Ragland GJ;Shoemaker DD;Denlinger DL
通讯作者：
Denlinger DL