Literature DB >> 19328789

High throughput sequencing of microRNAs in chicken somites.

Tina Rathjen1, Helio Pais, Dylan Sweetman, Vincent Moulton, Andrea Munsterberg, Tamas Dalmay.   

Abstract

High throughput Solexa sequencing technology was applied to identify microRNAs in somites of developing chicken embryos. We obtained 651,273 reads, from which 340,415 were mapped to the chicken genome representing 1701 distinct sequences. Eighty-five of these were known microRNAs and 42 novel miRNA candidates were identified. Accumulation of 18 of 42 sequences was confirmed by Northern blot analysis. Ten of the 18 sequences are new variants of known miRNAs and eight short RNAs are novel miRNAs. Six of these eight have not been reported by other deep sequencing projects. One of the six new miRNAs is highly enriched in somite tissue suggesting that deep sequencing of other specific tissues has the potential to identify novel tissue specific miRNAs.

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Year:  2009        PMID: 19328789     DOI: 10.1016/j.febslet.2009.03.048

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  33 in total

1.  Identification of microRNA-like RNAs in a plant pathogenic fungus Sclerotinia sclerotiorum by high-throughput sequencing.

Authors:  Jiahong Zhou; Yanping Fu; Jiatao Xie; Bo Li; Daohong Jiang; Guoqing Li; Jiasen Cheng
Journal:  Mol Genet Genomics       Date:  2012-04       Impact factor: 3.291

2.  Widespread regulatory activity of vertebrate microRNA* species.

Authors:  Jr-Shiuan Yang; Michael D Phillips; Doron Betel; Ping Mu; Andrea Ventura; Adam C Siepel; Kevin C Chen; Eric C Lai
Journal:  RNA       Date:  2010-12-22       Impact factor: 4.942

3.  In ovo application of antagomiRs indicates a role for miR-196 in patterning the chick axial skeleton through Hox gene regulation.

Authors:  Edwina McGlinn; Soraya Yekta; Jennifer H Mansfield; Jürgen Soutschek; David P Bartel; Clifford J Tabin
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-21       Impact factor: 11.205

4.  Tracking miRNA precursor metabolic products and processing sites through completely analyzing high-throughput sequencing data.

Authors:  Li Guo; Hailing Li; Jiafeng Lu; Qi Yang; Qinyu Ge; Wanjun Gu; Yunfei Bai; Zuhong Lu
Journal:  Mol Biol Rep       Date:  2011-06-03       Impact factor: 2.316

5.  Systematic transcriptome-wide analysis of mRNA-miRNA interactions reveals the involvement of miR-142-5p and its target (FOXO3) in skeletal muscle growth in chickens.

Authors:  Zhenhui Li; Bahareldin Ali Abdalla; Ming Zheng; Xiaomei He; Bolin Cai; Peigong Han; Hongjia Ouyang; Biao Chen; Qinghua Nie; Xiquan Zhang
Journal:  Mol Genet Genomics       Date:  2017-09-02       Impact factor: 3.291

6.  Classification of ncRNAs using position and size information in deep sequencing data.

Authors:  Florian Erhard; Ralf Zimmer
Journal:  Bioinformatics       Date:  2010-09-15       Impact factor: 6.937

7.  The chicken miR-150 targets the avian orthologue of the functional zebrafish MYB 3'UTR target site.

Authors:  Audrey Guillon-Munos; Ginette Dambrine; Nicolas Richerioux; Damien Coupeau; Benoît Muylkens; Denis Rasschaert
Journal:  BMC Mol Biol       Date:  2010-09-02       Impact factor: 2.946

8.  Retinoic acid-dependent regulation of miR-19 expression elicits vertebrate axis defects.

Authors:  Jill A Franzosa; Sean M Bugel; Tamara L Tal; Jane K La Du; Susan C Tilton; Katrina M Waters; Robert L Tanguay
Journal:  FASEB J       Date:  2013-08-23       Impact factor: 5.191

9.  Identification of novel and differentially expressed MicroRNAs of dairy goat mammary gland tissues using solexa sequencing and bioinformatics.

Authors:  Zhibin Ji; Guizhi Wang; Zhijing Xie; Jianmin Wang; Chunlan Zhang; Fei Dong; Cunxian Chen
Journal:  PLoS One       Date:  2012-11-14       Impact factor: 3.240

10.  deepBase: a database for deeply annotating and mining deep sequencing data.

Authors:  Jian-Hua Yang; Peng Shao; Hui Zhou; Yue-Qin Chen; Liang-Hu Qu
Journal:  Nucleic Acids Res       Date:  2009-12-04       Impact factor: 16.971

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