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Novel Small Noncoding RNAs in Mouse Spermatozoa, Zygotes and Early Embryos

Overview of attention for article published in PLOS ONE, September 2012
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Title
Novel Small Noncoding RNAs in Mouse Spermatozoa, Zygotes and Early Embryos
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0044542
Pubmed ID
Authors

Mitsuoki Kawano, Hideya Kawaji, Valérie Grandjean, Jafar Kiani, Minoo Rassoulzadegan

Abstract

The recent discovery of a significant amount of RNA in spermatozoa contradicted the previously held belief that paternal contribution was limited to one copy of the genome. Furthermore, detection of RNA in sperm raised the intriguing question of its possible role in embryonic development. The possibility that RNAs may serve as epigenetic determinants was supported by experiments showing inheritance of epigenetic traits in mice mediated by RNA. We used high-throughput, large-scale sequencing technology to analyze sperm RNA. The RNA sequences generated were diverse in terms of length and included mRNAs, rRNAs, piRNAs, and miRNAs. We studied two small noncoding RNAs enriched in mature sperm, designated sperm RNAs (spR) -12 and -13. They are both encoded in a piRNA locus on chromosome 17, but neither their length (20-21 nt), nor their sequences correspond to known piRNAs or miRNAs. They are resistant to periodate-oxidation-mediated reaction, implying that they undergo terminal post-transcriptional modification. Both were detected in sperm and ovulated unfertilized oocytes, present in one-cell embryos and maintained in preimplantation stages, but not at later differentiation stages. These findings offer a new perspective regarding a possibly important role for gamete-specific small RNAs in early embryogenesis.

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Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 2 2%
Switzerland 1 <1%
Finland 1 <1%
Norway 1 <1%
Japan 1 <1%
Australia 1 <1%
Unknown 115 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 26%
Researcher 32 26%
Student > Master 17 14%
Professor 7 6%
Student > Bachelor 6 5%
Other 17 14%
Unknown 14 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 63 50%
Biochemistry, Genetics and Molecular Biology 21 17%
Neuroscience 9 7%
Medicine and Dentistry 8 6%
Computer Science 1 <1%
Other 2 2%
Unknown 21 17%