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MicroRNAome of Porcine Pre- and Postnatal Development

Overview of attention for article published in PLOS ONE, July 2010
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Title
MicroRNAome of Porcine Pre- and Postnatal Development
Published in
PLOS ONE, July 2010
DOI 10.1371/journal.pone.0011541
Pubmed ID
Authors

Mingzhou Li, Youlin Xia, Yiren Gu, Kai Zhang, Qiulei Lang, Lei Chen, Jiuqiang Guan, Zonggang Luo, Haosi Chen, Yang Li, Qinghai Li, Xiang Li, An-an Jiang, Surong Shuai, Jinyong Wang, Qi Zhu, Xiaochuan Zhou, Xiaolian Gao, Xuewei Li

Abstract

The domestic pig is of enormous agricultural significance and valuable models for many human diseases. Information concerning the pig microRNAome (miRNAome) has been long overdue and elucidation of this information will permit an atlas of microRNA (miRNA) regulation functions and networks to be constructed. Here we performed a comprehensive search for porcine miRNAs on ten small RNA sequencing libraries prepared from a mixture of tissues obtained during the entire pig lifetime, from the fetal period through adulthood. The sequencing results were analyzed using mammalian miRNAs, the precursor hairpins (pre-miRNAs) and the first release of the high-coverage porcine genome assembly (Sscrofa9, April 2009) and the available expressed sequence tag (EST) sequences. Our results extend the repertoire of pig miRNAome to 867 pre-miRNAs (623 with genomic coordinates) encoding for 1,004 miRNAs, of which 777 are unique. We preformed real-time quantitative PCR (q-PCR) experiments for selected 30 miRNAs in 47 tissue-specific samples and found agreement between the sequencing and q-PCR data. This broad survey provides detailed information about multiple variants of mature sequences, precursors, chromosomal organization, development-specific expression, and conservation patterns. Our data mining produced a broad view of the pig miRNAome, consisting of miRNAs and isomiRs and a wealth of information of pig miRNA characteristics. These results are prelude to the advancement in pig biology as well the use of pigs as model organism for human biological and biomedical studies.

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Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 1%
China 1 1%
Italy 1 1%
Unknown 84 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 28%
Researcher 23 26%
Student > Master 9 10%
Student > Doctoral Student 7 8%
Student > Bachelor 5 6%
Other 10 11%
Unknown 9 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 54%
Biochemistry, Genetics and Molecular Biology 14 16%
Medicine and Dentistry 4 5%
Computer Science 4 5%
Engineering 3 3%
Other 3 3%
Unknown 12 14%