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使用 RNA-seq 定义转录区域。

Defining transcribed regions using RNA-seq.

机构信息

Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montréal, Québec, Canada.

出版信息

Nat Protoc. 2010 Feb;5(2):255-66. doi: 10.1038/nprot.2009.229. Epub 2010 Jan 21.

DOI:10.1038/nprot.2009.229
PMID:20134426
Abstract

Next-generation sequencing technologies are revolutionizing genomics research. It is now possible to generate gigabase pairs of DNA sequence within a week without time-consuming cloning or massive infrastructure. This technology has recently been applied to the development of 'RNA-seq' techniques for sequencing cDNA from various organisms, with the goal of characterizing entire transcriptomes. These methods provide unprecedented resolution and depth of data, enabling simultaneous quantification of gene expression, discovery of novel transcripts and exons, and measurement of splicing efficiency. We present here a validated protocol for nonstrand-specific transcriptome sequencing via RNA-seq, describing the library preparation process and outlining the bioinformatic analysis procedure. While sample preparation and sequencing take a fairly short period of time (1-2 weeks), the downstream analysis is by far the most challenging and time-consuming aspect and can take weeks to months, depending on the experimental objectives.

摘要

下一代测序技术正在彻底改变基因组学研究。现在,无需耗时的克隆或大规模基础设施,就可以在一周内生成千兆碱基对的 DNA 序列。这项技术最近已应用于“RNA-seq”技术的开发,用于对各种生物体的 cDNA 进行测序,目的是对整个转录组进行特征分析。这些方法提供了前所未有的分辨率和数据深度,能够同时定量基因表达、发现新的转录本和外显子,并测量剪接效率。我们在这里提供了一种通过 RNA-seq 进行非链特异性转录组测序的经过验证的方案,描述了文库制备过程,并概述了生物信息学分析程序。虽然样品制备和测序只需要相当短的时间(1-2 周),但到目前为止,下游分析是最具挑战性和耗时的方面,具体取决于实验目标,可能需要数周甚至数月的时间。

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本文引用的文献

1
A simple method for directional transcriptome sequencing using Illumina technology.利用 Illumina 技术进行定向转录组测序的一种简单方法。
Nucleic Acids Res. 2009 Dec;37(22):e148. doi: 10.1093/nar/gkp811.
2
Transcriptome analysis by strand-specific sequencing of complementary DNA.通过互补DNA的链特异性测序进行转录组分析。
Nucleic Acids Res. 2009 Oct;37(18):e123. doi: 10.1093/nar/gkp596. Epub 2009 Jul 20.
3
Swift: primary data analysis for the Illumina Solexa sequencing platform.Swift:Illumina Solexa测序平台的主要数据分析
通过转录组学对食品级κ-卡拉胶的非结肠毒性和肥胖抑制作用机制的探索
Food Sci Nutr. 2021 Sep 28;9(11):6232-6244. doi: 10.1002/fsn3.2581. eCollection 2021 Nov.
4
Deploying new generation sequencing for the study of flesh color depletion in Atlantic Salmon (Salmo salar).应用新一代测序技术研究大西洋鲑鱼肉色减退。
BMC Genomics. 2021 Jul 17;22(1):545. doi: 10.1186/s12864-021-07884-9.
5
RNA-Seq De Novo Assembly and Differential Transcriptome Analysis of Korean Medicinal Herb Cirsium japonicum var. spinossimum.韩国药用植物刺儿菜的RNA测序从头组装及差异转录组分析
Genomics Inform. 2018 Dec;16(4):e34. doi: 10.5808/GI.2018.16.4.e34. Epub 2018 Dec 28.
6
Transcriptome Analysis of Phycocyanin-Mediated Inhibitory Functions on Non-Small Cell Lung Cancer A549 Cell Growth.藻蓝蛋白介导对非小细胞肺癌 A549 细胞生长抑制作用的转录组分析。
Mar Drugs. 2018 Dec 15;16(12):511. doi: 10.3390/md16120511.
7
and Genes of Opportunistic Human Pathogen Candida albicans Influence Echinocandin Susceptibility.并且,机会性人类病原体白念珠菌的基因影响棘白菌素类药物的敏感性。
Antimicrob Agents Chemother. 2018 Mar 27;62(4). doi: 10.1128/AAC.02299-17. Print 2018 Apr.
8
A Novel AP2/ERF Transcription Factor CR1 Regulates the Accumulation of Vindoline and Serpentine in .一种新型AP2/ERF转录因子CR1调节长春质碱和蛇根碱在……中的积累 。(原文句末不完整)
Front Plant Sci. 2017 Dec 6;8:2082. doi: 10.3389/fpls.2017.02082. eCollection 2017.
9
High Quality Unigenes and Microsatellite Markers from Tissue Specific Transcriptome and Development of a Database in Clusterbean (Cyamopsis tetragonoloba, L. Taub).来自瓜尔豆(Cyamopsis tetragonoloba, L. Taub)组织特异性转录组的高质量单基因簇和微卫星标记以及数据库的开发
Genes (Basel). 2017 Nov 9;8(11):313. doi: 10.3390/genes8110313.
10
De Novo RNA Sequencing and Transcriptome Analysis of Monascus purpureus and Analysis of Key Genes Involved in Monacolin K Biosynthesis.紫红曲霉的从头RNA测序与转录组分析及莫纳可林K生物合成相关关键基因分析
PLoS One. 2017 Jan 23;12(1):e0170149. doi: 10.1371/journal.pone.0170149. eCollection 2017.
Bioinformatics. 2009 Sep 1;25(17):2194-9. doi: 10.1093/bioinformatics/btp383. Epub 2009 Jun 23.
4
SHRiMP: accurate mapping of short color-space reads.SHRiMP:短颜色空间读数的精确映射
PLoS Comput Biol. 2009 May;5(5):e1000386. doi: 10.1371/journal.pcbi.1000386. Epub 2009 May 22.
5
Gene discovery using massively parallel pyrosequencing to develop ESTs for the flesh fly Sarcophaga crassipalpis.利用大规模平行焦磷酸测序技术进行基因发现,以开发肉蝇(Sarcophaga crassipalpis)的表达序列标签(ESTs)。
BMC Genomics. 2009 May 19;10:234. doi: 10.1186/1471-2164-10-234.
6
How to map billions of short reads onto genomes.如何将数十亿条短序列 reads 比对到基因组上。
Nat Biotechnol. 2009 May;27(5):455-7. doi: 10.1038/nbt0509-455.
7
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Methods. 2009 Jul;48(3):249-57. doi: 10.1016/j.ymeth.2009.03.016. Epub 2009 Mar 29.
8
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Bioinformatics. 2009 May 1;25(9):1105-11. doi: 10.1093/bioinformatics/btp120. Epub 2009 Mar 16.
9
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.短DNA序列与人类基因组的超快速且内存高效比对。
Genome Biol. 2009;10(3):R25. doi: 10.1186/gb-2009-10-3-r25. Epub 2009 Mar 4.
10
Origins and Mechanisms of miRNAs and siRNAs.微小RNA(miRNA)和小干扰RNA(siRNA)的起源与机制。
Cell. 2009 Feb 20;136(4):642-55. doi: 10.1016/j.cell.2009.01.035.