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Published online before print February 19, 2008
Genome Research, DOI: 10.1101/gr.7179508
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Methods

Application of massively parallel sequencing to microRNA profiling and discovery in human embryonic stem cells

Ryan D. Morin1, Michael D. O’Connor2, Malachi Griffith1, Florian Kuchenbauer2, Allen Delaney1, Anna-Liisa Prabhu1, Yongjun Zhao1, Helen McDonald1, Thomas Zeng1, Martin Hirst1, Connie J. Eaves2,3,4, and Marco A. Marra1,3,4

1 Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia V5Z 1L3, Canada; 2 Terry Fox Laboratory, BC Cancer Agency, Vancouver, British Columbia V5Z 1L3, Canada

MicroRNAs (miRNAs) are emerging as important, albeit poorly characterized, regulators of biological processes. Key to further elucidation of their roles is the generation of more complete lists of their numbers and expression changes in different cell states. Here, we report a new method for surveying the expression of small RNAs, including microRNAs, using Illumina sequencing technology. We also present a set of methods for annotating sequences deriving from known miRNAs, identifying variability in mature miRNA sequences, and identifying sequences belonging to previously unidentified miRNA genes. Application of this approach to RNA from human embryonic stem cells obtained before and after their differentiation into embryoid bodies revealed the sequences and expression levels of 334 known plus 104 novel miRNA genes. One hundred seventy-one known and 23 novel microRNA sequences exhibited significant expression differences between these two developmental states. Owing to the increased number of sequence reads, these libraries represent the deepest miRNA sampling to date, spanning nearly six orders of magnitude of expression. The predicted targets of those miRNAs enriched in either sample shared common features. Included among the high-ranked predicted gene targets are those implicated in differentiation, cell cycle control, programmed cell death, and transcriptional regulation.


3 These authors contributed equally to this work.

4 Corresponding authors.

E-mail mmarra{at}bcgsc.ca; fax (604) 675-8178.

E-mail ceaves{at}bccrc.ca; fax (604) 877-0712.

[Supplemental material is available online at www.genome.org.]

Article published online before print. Article and publication date are at http://www.genome.org/cgi/doi/10.1101/gr.7179508


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