Summary

有针对性的RNA测序分析表征基因表达和基因组改变

Published: August 04, 2016
doi:

Summary

We describe a targeted RNA sequencing-based method that includes preparation of indexed cDNA libraries, hybridization and capture with custom probes and data analysis to interrogate selected transcripts for gene expression, mutations, and gene fusions. Targeted RNAseq permits cost-effective, rapid evaluation of selected transcripts on a desktop sequencer.

Abstract

RNA测序(RNA测序)是可以被用于检测和表征的基因表达,突变,基因融合,和非编码RNA一个通用的方法。标准RNA测序需要30 – 亿测序读出并可以包括多个RNA产物如mRNA和非编码RNA。我们证明有针对性的RNA测序(捕获)如何允许在使用桌面序选定的RNA产品聚焦研究。 RNA测序采集可以表征可能以其它方式使用传统的RNA测序方法错过没有注释,低或瞬时表达成绩单。在这里,我们描述了从细胞系,核糖体RNA耗尽,cDNA合成,制备条形码库,杂交和靶向转录物的捕获和多重测序上的桌面序的RNA的提取。我们也勾勒出计算分析管道,其中包括质量控制评估,校准,检测融合,基因表达定量和单国统会的鉴定leotide变种。该测定允许有针对性的转录测序来表征的基因表达,基因融合,和突变。

Introduction

Whole transcriptome or RNA sequencing (RNAseq) is an unbiased sequencing method to assess all RNA products. The goal of targeted RNAseq (Capture) is a focused evaluation of selected transcripts with increased sensitivity, dynamic range, reduced cost or scale, and increased throughput compared to standard RNAseq. Similar to standard RNAseq, targeted enrichment approaches can be used to evaluate gene expression, multiple RNA species such as mRNA, microRNA (miRNA), lncRNA1, other noncoding RNAs2, gene fusions3, and mutations4-6.

Capture involves hybridization of complementary oligonucleotides to enrich cDNA libraries for sequencing. The rationale for RNAseq Capture is similar to microarray approaches where complementary oligonucleotides or probes are hybridized to samples and then measured for relative abundance. For microarray technologies, expression is based on relative signal measured for transcripts binding to these probes. Microarrays are thus limited by range, potential background noise from non-specific binding, and cross-hybridization of probes. Furthermore, arrays have limited dynamic range for low and highly expressed transcripts compared to RNAseq1. Microarrays are widely utilized due to their reduced cost and high throughput capacity compared to RNAseq.

Here, we demonstrate a method for RNAseq Capture that offers a middle ground between RNAseq and microarray approaches for evaluating the transcriptome. RNAseq Capture has intermediate throughput, greater dynamic range and sensitivity, and is scaled for fast turnaround on desktop sequencers. RNAseq Capture also requires reduced computational resources in terms of storage space and data processing.

Protocol

注意:此协议说明了同时处理和4个样品的分析。这种方法是用RNA从细胞中分离,新鲜冷冻组织和福尔马林固定,石蜡包埋的组织的(FFPE)兼容。该协议始于50 – 从RNA输入每个样本的1000纳克(250纳克推荐)。 1. rRNA的消耗和RNA议事碎片 rRNA的消耗 在室温下除去洗脱,素,片段组合,rRNA的去除组合,rRNA的结合缓冲液和重悬浮缓冲液从-20℃并解冻。从4?…

Representative Results

在RNA测序捕捉的概略突出关键步骤示于图1。与已知的突变四癌细胞系被用来证明RNA测序捕捉技术的有效性(K562与ABL1融合,LC2与RET融合,EOL1与PDGFRalpha融合和RT- 4 FGFR3融合)。这四个样品汇集在一起​​,并进行测序2倍于台式机音序器,生成FASTQ文件100个基点的读取。 1)质量控制评估,2)对准至人类转录,3)基因表达的定量,4)?…

Discussion

RNA测序Capture是RNA测序和芯片之间的中间策略评估转录的选定部分接近。捕获的优点包括在桌面序器,高吞吐量,和基因组改变的检测降低的成本,快速的周转时间。可适于表征非编码RNA 23,检测单核苷酸的方法变体4-6,检查RNA剪接,并确定基因融合或结构重排24。此外,这种方法可应用于已经经过用福尔马林固定并包埋在石蜡块24,25临床或处理的样本。

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Disclosures

The authors have nothing to disclose.

Acknowledgements

We give special thanks to Ezra Lyon, Eliot Zhu, Michele Wing, Esko Kautto and Eric Samorodnitsky for technical support. We would also like to thank Jenny Badillo for her administrative support for our team. We acknowledge the Ohio Supercomputer Center (OSC) for providing disk space, processing capacity, and support to run our analyses. We thank the Comprehensive Cancer Center (CCC) at The Ohio State University Wexner Medical Center for their administrative support of this work. S.R. and Team are supported by the American Cancer Society (MRSG-12-194-01-TBG), a Prostate Cancer Foundation Young Investigator Award, NHGRI (UM1HG006508-01A1), Fore Cancer Research Foundation, American Lung Association, and Pelotonia.

Materials

Thermomixer R Eppendorf 21516-166
Centrifuge 5417R Eppendorf 5417R
miRNeasy Mini Kit Qiagen 217004
Molecular Biology Grade Ethanol Sigma Aldrich E7023-6X500ML
Thermoblock 24 X 1.5ml Eppendorf 21516-166
MiSeq Reagent Kit v2 (300-cycles) Illumina MS-102-2002
MiSeq Desktop Sequencer Illumina
PhiX Control v3 Illumina FC-110-3001
TruSeq Stranded Total RNA Kit with RiboZero Gold SetA Illumina RS-122-2301
25 rxn xGen® Universal Blocking Oligo – TS-p5 IDT 127040822
25 rxn xGen® Universal Blocking Oligo – TS-p7(6nt) IDT 127040823
25 rxn xGen® Universal Blocking Oligo – TS-p7(8nt) IDT 127040824
Agencourt® AMPure® XP – PCR Purification beads  Beckman-Coulter A63880
Dynabeads® M-270 Streptavidin Life Technologies 65305
COT Human DNA, Fluorometric Grade, 1mg Roche Applied Science 05480647001
Qubit® Assay Tubes  Life Technologies Q32856
Qubit® dsDNA HS Assay Kit Life Technologies Q32851
SeqCap® EZ Hybridization and Wash Kits  (24 or 96 reactions) Roche NimbleGen  05634261001 or 05634253001 
Qubit® 2.0 Fluorometer  Life Technologies Q32866
10 x 2 ml IDTE pH 8.0 (1X TE Solution) IDT
Tween20 BioXtra Sigma P7949-500ML
Nuclease Free Water Life Technologies AM9937
C1000 Touch™ Thermal Cycler with 96–Well Fast Rection Module Biorad 185-1196
SeqCap EZ Hybridization and Wash Kits Roche Applied Science 05634253001
SuperScript II Reverse Transcription 200U/ul Life Technologies 18064-014
D1000 ScreenTape Agilent Technol. Inc. 5067-5582
Agencourt RNAClean XP -40ml Beckman Coulter Inc A63987
RNA ScreenTape Agilent Technol. Inc. 5067-5576
RNA ScreenTape Ladder Agilent Technol. Inc. 5067-5578
RNA ScreenTape Sample Buffer Agilent Technol. Inc. 5067-5577
Sodium Hydroxide Sigma 72068-100ML
DynaBeads MyOne Streptavidin T1 Life Technologies 65602
DYNAMAG -96 SIDE EACH Life Technologies 12331D
Chloroform Sigma C2432-1L
KAPA HotStart ReadyMix KAPA Biosystems KK2602
NanoDrop 2000 Spectrophotometer Thermo Scientific
My Block Mini Dry Bath Benchmark BSH200
D1000 Reagents Agilent Technol. Inc. 5067- 5583
Vacufuge Plus Eppendorf 022829861 

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Cite This Article
Martin, D. P., Miya, J., Reeser, J. W., Roychowdhury, S. Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations. J. Vis. Exp. (114), e54090, doi:10.3791/54090 (2016).

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