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高质量的参考转录本数据集是植物中特定转录本RNA测序分析的关键。

High-quality reference transcript datasets hold the key to transcript-specific RNA-sequencing analysis in plants.

作者信息

Brown John W S, Calixto Cristiane P G, Zhang Runxuan

机构信息

Plant Sciences, University of Dundee at the James Hutton Institute, Dundee, DD2 5DA, UK.

Cell and Molecular Sciences, The James Hutton Institute, Dundee, DD2 5DA, UK.

出版信息

New Phytol. 2017 Jan;213(2):525-530. doi: 10.1111/nph.14208. Epub 2016 Sep 23.

DOI:10.1111/nph.14208
PMID:27659901
Abstract

525 I. 525 II. 526 III. 527 IV. 527 V. 529 VI. 529 529 References 529 SUMMARY: Re-programming of the transcriptome involves both transcription and alternative splicing (AS). Some genes are regulated only at the AS level with no change in expression at the gene level. AS data must be incorporated as an essential aspect of the regulation of gene expression. RNA-sequencing (RNA-seq) can deliver both transcriptional and AS information, but accurate methods to analyse the added complexity in RNA-seq data are needed. The construction of a comprehensive reference transcript dataset (RTD) for a specific plant species, variety or accession, from all available sequence data, will immediately allow more robust analysis of RNA-seq data. RTDs will continually evolve and improve, a process that will be more efficient if resources across a community are shared and pooled.

摘要

525 一、525 二、526 三、527 四、527 五、529 六、529 参考文献 529 总结:转录组的重编程涉及转录和可变剪接(AS)。一些基因仅在可变剪接水平受到调控,基因水平的表达没有变化。可变剪接数据必须作为基因表达调控的一个重要方面纳入。RNA测序(RNA-seq)可以提供转录和可变剪接信息,但需要准确的方法来分析RNA-seq数据中增加的复杂性。从所有可用序列数据构建特定植物物种、品种或种质的综合参考转录本数据集(RTD),将立即允许对RNA-seq数据进行更有力的分析。RTD将不断发展和改进,如果整个社区的资源能够共享和集中,这个过程将会更有效率。

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