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Current Protocols in Human Genetics
Article . 2012 . Peer-reviewed
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High‐Throughput Multiplex Sequencing of miRNA

Authors: George M. Church; George M. Church; Francois Vigneault; Francois Vigneault; Francois Vigneault; Shahar Alon; Jonathan G. Seidman; +5 Authors

High‐Throughput Multiplex Sequencing of miRNA

Abstract

AbstractNext‐generation sequencing offers many advantages over other methods of microRNA (miRNA) expression profiling, such as sample throughput and the capability to discover novel miRNAs. As the sequencing depth of current sequencing platforms exceeds what is necessary to quantify miRNAs, multiplexing several samples in one sequencing run offers a significant cost advantage. Although previous studies have achieved this goal by adding bar codes to miRNA libraries at the ligation step, this was recently shown to introduce significant bias into the miRNA expression data. This bias can be avoided, however, by bar coding the miRNA libraries at the PCR step instead. Here, we describe a user‐friendly PCR bar‐coding method of preparing multiplexed microRNA libraries for Illumina‐based sequencing. The method also prevents the production of adapter dimers and can be completed in one day. Curr. Protoc. Hum. Genet. 73:11.12.1‐11.12.10 © 2012 by John Wiley & Sons, Inc.

Keywords

MicroRNAs, Sequence Analysis, RNA, High-Throughput Nucleotide Sequencing, Humans, Gene Library

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    37
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
37
Top 10%
Top 10%
Top 10%
bronze