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RNA Deep Sequencing Reveals Differential MicroRNA Expression during Development of Sea Urchin and Sea Star

Overview of attention for article published in PLOS ONE, December 2011
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Title
RNA Deep Sequencing Reveals Differential MicroRNA Expression during Development of Sea Urchin and Sea Star
Published in
PLOS ONE, December 2011
DOI 10.1371/journal.pone.0029217
Pubmed ID
Authors

Sabah Kadri, Veronica F. Hinman, Panayiotis V. Benos

Abstract

microRNAs (miRNAs) are small (20-23 nt), non-coding single stranded RNA molecules that act as post-transcriptional regulators of mRNA gene expression. They have been implicated in regulation of developmental processes in diverse organisms. The echinoderms, Strongylocentrotus purpuratus (sea urchin) and Patiria miniata (sea star) are excellent model organisms for studying development with well-characterized transcriptional networks. However, to date, nothing is known about the role of miRNAs during development in these organisms, except that the genes that are involved in the miRNA biogenesis pathway are expressed during their developmental stages. In this paper, we used Illumina Genome Analyzer (Illumina, Inc.) to sequence small RNA libraries in mixed stage population of embryos from one to three days after fertilization of sea urchin and sea star (total of 22,670,000 reads). Analysis of these data revealed the miRNA populations in these two species. We found that 47 and 38 known miRNAs are expressed in sea urchin and sea star, respectively, during early development (32 in common). We also found 13 potentially novel miRNAs in the sea urchin embryonic library. miRNA expression is generally conserved between the two species during development, but 7 miRNAs are highly expressed in only one species. We expect that our two datasets will be a valuable resource for everyone working in the field of developmental biology and the regulatory networks that affect it. The computational pipeline to analyze Illumina reads is available at http://www.benoslab.pitt.edu/services.html.

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Geographical breakdown

Country Count As %
United States 2 3%
Norway 2 3%
Chile 1 1%
Japan 1 1%
China 1 1%
Unknown 63 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 30%
Researcher 20 29%
Student > Master 6 9%
Student > Bachelor 6 9%
Student > Doctoral Student 4 6%
Other 10 14%
Unknown 3 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 56%
Biochemistry, Genetics and Molecular Biology 13 19%
Neuroscience 4 6%
Environmental Science 2 3%
Computer Science 2 3%
Other 6 9%
Unknown 4 6%