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  • 1
    Publication Date: 2016-01-02
    Description: Several recent studies link parental environments to phenotypes in subsequent generations. In this work, we investigate the mechanism by which paternal diet affects offspring metabolism. Protein restriction in mice affects small RNA (sRNA) levels in mature sperm, with decreased let-7 levels and increased amounts of 5' fragments of glycine transfer RNAs (tRNAs). In testicular sperm, tRNA fragments are scarce but increase in abundance as sperm mature in the epididymis. Epididymosomes (vesicles that fuse with sperm during epididymal transit) carry RNA payloads matching those of mature sperm and can deliver RNAs to immature sperm in vitro. Functionally, tRNA-glycine-GCC fragments repress genes associated with the endogenous retroelement MERVL, in both embryonic stem cells and embryos. Our results shed light on sRNA biogenesis and its dietary regulation during posttesticular sperm maturation, and they also link tRNA fragments to regulation of endogenous retroelements active in the preimplantation embryo.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sharma, Upasna -- Conine, Colin C -- Shea, Jeremy M -- Boskovic, Ana -- Derr, Alan G -- Bing, Xin Y -- Belleannee, Clemence -- Kucukural, Alper -- Serra, Ryan W -- Sun, Fengyun -- Song, Lina -- Carone, Benjamin R -- Ricci, Emiliano P -- Li, Xin Z -- Fauquier, Lucas -- Moore, Melissa J -- Sullivan, Robert -- Mello, Craig C -- Garber, Manuel -- Rando, Oliver J -- DP1ES025458/DP/NCCDPHP CDC HHS/ -- R01HD080224/HD/NICHD NIH HHS/ -- UL1 TR000161/TR/NCATS NIH HHS/ -- UL1 TR001453/TR/NCATS NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2016 Jan 22;351(6271):391-6. doi: 10.1126/science.aad6780. Epub 2015 Dec 31.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA 01605, USA. ; Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01605, USA. Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA. ; Department of Obstetrics, Gynecology and Reproduction, Universite Laval, Centre Hospitalier Universitaire de Quebec Research Center, Quebec City, Quebec G1V 4G2, Canada. ; RNAi Therapeutics Institute, University of Massachusetts Medical School, Worcester, MA 01605, USA. ; Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA 01605, USA. RNAi Therapeutics Institute, University of Massachusetts Medical School, Worcester, MA 01605, USA. ; Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA 01605, USA. RNAi Therapeutics Institute, University of Massachusetts Medical School, Worcester, MA 01605, USA. Howard Hughes Medical Institute, University of Massachusetts Medical School, Worcester, MA 01605, USA. ; Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01605, USA. RNAi Therapeutics Institute, University of Massachusetts Medical School, Worcester, MA 01605, USA. Howard Hughes Medical Institute, University of Massachusetts Medical School, Worcester, MA 01605, USA. ; Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA 01605, USA. oliver.rando@umassmed.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26721685" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Blastocyst/metabolism ; Diet, Protein-Restricted ; Epididymis/metabolism ; *Fertilization ; *Gene Expression Regulation ; Male ; Mice ; MicroRNAs/metabolism ; RNA, Transfer, Gly/*metabolism/*physiology ; Retroelements/genetics ; *Sperm Maturation ; Spermatozoa/*metabolism ; Testis/metabolism
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2013-09-20
    Description: : Unlike DNA, RNA abundances can vary over several orders of magnitude. Thus, identification of RNA–protein binding sites from high-throughput sequencing data presents unique challenges. Although peak identification in ChIP-Seq data has been extensively explored, there are few bioinformatics tools tailored for peak calling on analogous datasets for RNA-binding proteins. Here we describe ASPeak (abundance sensitive peak detection algorithm), an implementation of an algorithm that we previously applied to detect peaks in exon junction complex RNA immunoprecipitation in tandem experiments. Our peak detection algorithm yields stringent and robust target sets enabling sensitive motif finding and downstream functional analyses. Availability: ASPeak is implemented in Perl as a complete pipeline that takes bedGraph files as input. ASPeak implementation is freely available at https://sourceforge.net/projects/as-peak under the GNU General Public License. ASPeak can be run on a personal computer, yet is designed to be easily parallelizable. ASPeak can also run on high performance computing clusters providing efficient speedup. The documentation and user manual can be obtained from http://master.dl.sourceforge.net/project/as-peak/manual.pdf . Contact: alper.kucukural@umassmed.edu or ccenik@stanford.edu
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 3
    Publication Date: 2013-08-08
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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