New methods for next generation sequencing based microRNA expression profiling

被引:74
|
作者
Buermans, Henk P. J. [1 ]
Ariyurek, Yavuz [2 ]
van Ommen, Gertjan [1 ]
den Dunnen, Johan T. [1 ,2 ]
't Hoen, Peter A. C. [1 ]
机构
[1] Leiden Univ, Med Ctr, Ctr Human & Clin Genet, NL-2333 ZC Leiden, Netherlands
[2] Leiden Univ, Med Ctr, Leiden Genome Technol Ctr, NL-2333 ZC Leiden, Netherlands
来源
BMC GENOMICS | 2010年 / 11卷
关键词
SMALL RNAS; DISCOVERY; ALIGNMENT;
D O I
10.1186/1471-2164-11-716
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background: MicroRNAs are small non-coding RNA transcripts that regulate post-transcriptional gene expression. The millions of short sequence reads generated by next generation sequencing technologies make this technique explicitly suitable for profiling of known and novel microRNAs. A modification to the small-RNA expression kit (SREK, Ambion) library preparation method for the SOLiD sequencing platform is described to generate microRNA sequencing libraries that are compatible with the Illumina Genome Analyzer. Results: High quality sequencing libraries can successfully be prepared from as little as 100 ng small RNA enriched RNA. An easy to use perl-based analysis pipeline called E-miR was developed to handle the sequencing data in several automated steps including data format conversion, 3' adapter removal, genome alignment and annotation to non-coding RNA transcripts. The sample preparation and E-miR pipeline were used to identify 37 cardiac enriched microRNAs in stage 16 chicken embryos. Isomir expression profiles between the heart and embryo were highly correlated for all miRNAs suggesting that tissue or cell specific miRNA modifications do not occur. Conclusions: In conclusion, our alternative sample preparation method can successfully be applied to generate high quality miRNA sequencing libraries for the Illumina genome analyzer.
引用
收藏
页数:16
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