Literature DB >> 18952845

Prediction of human miRNAs using tissue-selective motifs in 3' UTRs.

Yao-Ming Chang1, Hsueh-Fen Juan, Tzu-Ying Lee, Ya-Ya Chang, Yao-Ming Yeh, Wen-Hsiung Li, Arthur Chun-Chieh Shih.   

Abstract

MicroRNAs (miRNAs) play an important role in posttranscriptional regulation of genes. We developed a method to predict human miRNAs without requiring cross-species conservation. We first identified lowly/moderately expressed tissue-selective genes using EST data and then identified overrepresented motifs of seven nucleotides in the 3' UTRs of these genes. Using these motifs as potential target sites of miRNAs, we recovered more than two-thirds of the known human miRNAs. We then used those motifs that did not match any known human miRNA seed region to infer novel miRNAs. We predicted 36 new human miRNA genes with 44 mature forms and 4 novel alternative mature forms of 2 known miRNA genes when a stringent criterion was used and many more novel miRNAs when a less stringent criterion was used. We tested the expression of 11 predicted miRNAs in three human cell lines and found 5 of them expressed in all three cell lines and 1 expressed in one cell line. We selected 2 of them, P-2 and P-27-5p, to do functional validation, using their mimics and inhibitors and using both luciferase assay and Western blotting. These experiments provided strong evidence that both P-2 and P-27-5p are novel miRNAs and that CREB3L3, which encodes cAMP-responsive element binding protein 3-like 3, is a target gene of P-2, whereas LAMB3, which encodes laminin beta3, is a target gene of P-27-5p.

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Year:  2008        PMID: 18952845      PMCID: PMC2579378          DOI: 10.1073/pnas.0809151105

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  29 in total

1.  Animal MicroRNAs confer robustness to gene expression and have a significant impact on 3'UTR evolution.

Authors:  Alexander Stark; Julius Brennecke; Natascha Bushati; Robert B Russell; Stephen M Cohen
Journal:  Cell       Date:  2005-12-16       Impact factor: 41.582

2.  Method for identifying transcription factor binding sites in yeast.

Authors:  Huai-Kuang Tsai; Grace Tzu-Wei Huang; Meng-Yuan Chou; Henry Horng-Shing Lu; Wen-Hsiung Li
Journal:  Bioinformatics       Date:  2006-04-27       Impact factor: 6.937

Review 3.  microRNA target predictions in animals.

Authors:  Nikolaus Rajewsky
Journal:  Nat Genet       Date:  2006-06       Impact factor: 38.330

4.  Detecting and profiling tissue-selective genes.

Authors:  Shuang Liang; Yizheng Li; Xiaobing Be; Steve Howes; Wei Liu
Journal:  Physiol Genomics       Date:  2006-05-09       Impact factor: 3.107

5.  Cell-type-specific signatures of microRNAs on target mRNA expression.

Authors:  Pranidhi Sood; Azra Krek; Mihaela Zavolan; Giuseppe Macino; Nikolaus Rajewsky
Journal:  Proc Natl Acad Sci U S A       Date:  2006-02-13       Impact factor: 11.205

6.  Real-time quantification of microRNAs by stem-loop RT-PCR.

Authors:  Caifu Chen; Dana A Ridzon; Adam J Broomer; Zhaohui Zhou; Danny H Lee; Julie T Nguyen; Maura Barbisin; Nan Lan Xu; Vikram R Mahuvakar; Mark R Andersen; Kai Qin Lao; Kenneth J Livak; Karl J Guegler
Journal:  Nucleic Acids Res       Date:  2005-11-27       Impact factor: 16.971

7.  BodyMap-Xs: anatomical breakdown of 17 million animal ESTs for cross-species comparison of gene expression.

Authors:  Osamu Ogasawara; Makiko Otsuji; Kouji Watanabe; Takayasu Iizuka; Takuro Tamura; Teruyoshi Hishiki; Shoko Kawamoto; Kousaku Okubo
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

8.  Biased alternative polyadenylation in human tissues.

Authors:  Haibo Zhang; Ju Youn Lee; Bin Tian
Journal:  Genome Biol       Date:  2005-11-28       Impact factor: 13.583

9.  Identification and classification of conserved RNA secondary structures in the human genome.

Authors:  Jakob Skou Pedersen; Gill Bejerano; Adam Siepel; Kate Rosenbloom; Kerstin Lindblad-Toh; Eric S Lander; Jim Kent; Webb Miller; David Haussler
Journal:  PLoS Comput Biol       Date:  2006-04-21       Impact factor: 4.475

10.  Mouse microRNA profiles determined with a new and sensitive cloning method.

Authors:  Shuji Takada; Eugene Berezikov; Yoshihiro Yamashita; Mariana Lagos-Quintana; Wigard P Kloosterman; Munehiro Enomoto; Hisashi Hatanaka; Shin-ichiro Fujiwara; Hideki Watanabe; Manabu Soda; Young Lim Choi; Ronald H A Plasterk; Edwin Cuppen; Hiroyuki Mano
Journal:  Nucleic Acids Res       Date:  2006-09-14       Impact factor: 16.971

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  8 in total

Review 1.  Computational approaches for microRNA studies: a review.

Authors:  Li Li; Jianzhen Xu; Deyin Yang; Xiaorong Tan; Hongfei Wang
Journal:  Mamm Genome       Date:  2009-12-15       Impact factor: 2.957

Review 2.  Contribution of bioinformatics prediction in microRNA-based cancer therapeutics.

Authors:  Jasjit K Banwait; Dhundy R Bastola
Journal:  Adv Drug Deliv Rev       Date:  2014-11-06       Impact factor: 15.470

3.  Characterization of microRNAs from sheep (Ovis aries) using computational and experimental analyses.

Authors:  Xihui Sheng; Xuemei Song; Yan Yu; Lili Niu; Shangang Li; Hongbin Li; Caihong Wei; Tao Liu; Li Zhang; Lixin Du
Journal:  Mol Biol Rep       Date:  2010-02-07       Impact factor: 2.316

4.  Evolutionary dynamics of a conserved sequence motif in the ribosomal genes of the ciliate Paramecium.

Authors:  Francesco Catania; Michael Lynch
Journal:  BMC Evol Biol       Date:  2010-05-04       Impact factor: 3.260

5.  Revealing the anti-tumor effect of artificial miRNA p-27-5p on human breast carcinoma cell line T-47D.

Authors:  Chien-Wei Tseng; Hsuan-Cheng Huang; Arthur Chun-Chieh Shih; Ya-Ya Chang; Chung-Cheng Hsu; Jen-Yun Chang; Wen-Hsiung Li; Hsueh-Fen Juan
Journal:  Int J Mol Sci       Date:  2012-05-23       Impact factor: 6.208

6.  miRSCAPE - inferring miRNA expression from scRNA-seq data.

Authors:  Gulden Olgun; Vishaka Gopalan; Sridhar Hannenhalli
Journal:  iScience       Date:  2022-08-17

7.  A Review of Computational Tools in microRNA Discovery.

Authors:  Clarissa P C Gomes; Ji-Hoon Cho; Leroy Hood; Octávio L Franco; Rinaldo W Pereira; Kai Wang
Journal:  Front Genet       Date:  2013-05-15       Impact factor: 4.599

8.  Fine-tuning of microRNA-mediated repression of mRNA by splicing-regulated and highly repressive microRNA recognition element.

Authors:  Cheng-Tao Wu; Chien-Ying Chiou; Ho-Chen Chiu; Ueng-Cheng Yang
Journal:  BMC Genomics       Date:  2013-07-03       Impact factor: 3.969

  8 in total

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