Literature DB >> 20619743

Global expression analysis of miRNA gene cluster and family based on isomiRs from deep sequencing data.

Li Guo1, Zuhong Lu.   

Abstract

In this study, we present a global relative expression analysis of miRNAs in human miRNA gene cluster and family based on different selection schemes of isomiRs from deep sequencing data. Some divergence was observed between expression distributions based on sequence count of the most abundant isomiR and sum of all isomiR sequence counts, respectively. But the divergence showed less effect on expression patterns in miRNA gene cluster and family. Because of high sensitivity of sequencing technology and ambiguous distribution of common isomiRs among multicopy miRNA precursors and homologous genes, most gene clusters and families showed inconsistent expression levels. Inconsistent expression pattern implied expression diversification in vivo although they maybe showed close relationship during transcription and/or gene regulation. Some gene clusters and families generated mature miRNAs from the same arms and even with the same lengths, especially in gene family. The interesting expression and length distribution maybe implied strict regulation during pre-miRNA processing through cleavage of Dicer and Drosha. The study showed that the most abundant isomiR may be a better marker, and global expression analysis of miRNA gene cluster and family provide clues for analyzing relative expression levels and understanding the function relationship and mechanism for expression regulation of miRNAs in regulation network. Copyright 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20619743     DOI: 10.1016/j.compbiolchem.2010.06.001

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  37 in total

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Journal:  Mol Biol Rep       Date:  2011-12-11       Impact factor: 2.316

2.  Consistent isomiR expression patterns and 3' addition events in miRNA gene clusters and families implicate functional and evolutionary relationships.

Authors:  Li Guo; Hailing Li; Tingming Liang; Jiafeng Lu; Qi Yang; Qinyu Ge; Zuhong Lu
Journal:  Mol Biol Rep       Date:  2012-03-06       Impact factor: 2.316

3.  miRSwitch: detecting microRNA arm shift and switch events.

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Journal:  Nucleic Acids Res       Date:  2020-07-02       Impact factor: 16.971

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.  Post-transcriptional generation of miRNA variants by multiple nucleotidyl transferases contributes to miRNA transcriptome complexity.

Authors:  Stacia K Wyman; Emily C Knouf; Rachael K Parkin; Brian R Fritz; Daniel W Lin; Lucas M Dennis; Michael A Krouse; Philippa J Webster; Muneesh Tewari
Journal:  Genome Res       Date:  2011-08-03       Impact factor: 9.043

Review 6.  Current approaches to micro-RNA analysis and target gene prediction.

Authors:  Tenzin W Lhakhang; M Ahmad Chaudhry
Journal:  J Appl Genet       Date:  2011-09-03       Impact factor: 3.240

7.  Genome-wide analysis of aberrantly expressed circulating miRNAs in patients with coal workers' pneumoconiosis.

Authors:  Li Guo; Xiaoming Ji; Sheng Yang; Zhiguo Hou; Chen Luo; Jingjing Fan; Chunhui Ni; Feng Chen
Journal:  Mol Biol Rep       Date:  2012-12-29       Impact factor: 2.316

8.  Tat-activating regulatory DNA-binding protein regulates glycolysis in hepatocellular carcinoma by regulating the platelet isoform of phosphofructokinase through microRNA 520.

Authors:  Yun-Yong Park; Sang-Bae Kim; Hee Dong Han; Bo Hwa Sohn; Ji Hoon Kim; Jiyong Liang; Yiling Lu; Cristian Rodriguez-Aguayo; Gabriel Lopez-Berestein; Gordon B Mills; Anil K Sood; Ju-Seog Lee
Journal:  Hepatology       Date:  2013-05-15       Impact factor: 17.425

9.  Genome-wide analysis of mir-548 gene family reveals evolutionary and functional implications.

Authors:  Tingming Liang; Li Guo; Chang Liu
Journal:  J Biomed Biotechnol       Date:  2012-10-02

10.  Reciprocal Feedback Between miR-181a and E2/ERα in Myometrium Enhances Inflammation Leading to Labor.

Authors:  Lu Gao; Gang Wang; Wei-Na Liu; Holly Kinser; Hector L Franco; Carole R Mendelson
Journal:  J Clin Endocrinol Metab       Date:  2016-07-26       Impact factor: 5.958

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