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    Strand-specific libraries for high throughput RNA sequencing (RNA-Seq) prepared without poly(A) selection

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    Authors
    Zhang, Zhao
    Theurkauf, William E.
    Weng, Zhiping
    Zamore, Phillip D.
    UMass Chan Affiliations
    Program in Molecular Medicine
    Program in Bioinformatics and Integrative Biology
    Department of Biochemistry and Molecular Pharmacology
    Document Type
    Journal Article
    Publication Date
    2012-12-28
    Keywords
    High-Throughput Nucleotide Sequencing
    Sequence Analysis, RNA
    Bioinformatics
    Computational Biology
    Genetics and Genomics
    Molecular Biology
    Systems Biology
    
    Metadata
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    Abstract
    BACKGROUND: High throughput DNA sequencing technology has enabled quantification of all the RNAs in a cell or tissue, a method widely known as RNA sequencing (RNA-Seq). However, non-coding RNAs such as rRNA are highly abundant and can consume >70% of sequencing reads. A common approach is to extract only polyadenylated mRNA; however, such approaches are blind to RNAs with short or no poly(A) tails, leading to an incomplete view of the transcriptome. Another challenge of preparing RNA-Seq libraries is to preserve the strand information of the RNAs. DESIGN: Here, we describe a procedure for preparing RNA-Seq libraries from 1 to 4 mug total RNA without poly(A) selection. Our method combines the deoxyuridine triphosphate (dUTP)/uracil-DNA glycosylase (UDG) strategy to achieve strand specificity with AMPure XP magnetic beads to perform size selection. Together, these steps eliminate gel purification, allowing a library to be made in less than two days. We barcode each library during the final PCR amplification step, allowing several samples to be sequenced in a single lane without sacrificing read length. Libraries prepared using this protocol are compatible with Illumina GAII, GAIIx and HiSeq 2000 platforms. DISCUSSION: The RNA-Seq protocol described here yields strand-specific transcriptome libraries without poly(A) selection, which provide approximately 90% mappable sequences. Typically, more than 85% of mapped reads correspond to protein-coding genes and only 6% derive from non-coding RNAs. The protocol has been used to measure RNA transcript identity and abundance in tissues from flies, mice, rats, chickens, and frogs, demonstrating its general applicability.
    Source
    Silence. 2012 Dec 28;3(1):9. doi: 10.1186/1758-907X-3-9. Link to article on publisher's site
    DOI
    10.1186/1758-907X-3-9
    Permanent Link to this Item
    http://hdl.handle.net/20.500.14038/25888
    PubMed ID
    23273270
    Notes

    Author Zhao Zhang is a student in the Interdisciplinary Graduate Program in the Graduate School of Biomedical Sciences (GSBS) at UMass Medical School.

    Related Resources
    Link to Article in PubMed
    Rights
    © 2012 Zhang et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
    ae974a485f413a2113503eed53cd6c53
    10.1186/1758-907X-3-9
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