Literature DB >> 21147911

Identification of cis- and trans-regulatory variation modulating microRNA expression levels in human fibroblasts.

Christelle Borel1, Samuel Deutsch, Audrey Letourneau, Eugenia Migliavacca, Stephen B Montgomery, Antigone S Dimas, Charles E Vejnar, Homa Attar, Maryline Gagnebin, Corinne Gehrig, Emilie Falconnet, Yann Dupré, Emmanouil T Dermitzakis, Stylianos E Antonarakis.   

Abstract

MicroRNAs (miRNAs) are regulatory noncoding RNAs that affect the production of a significant fraction of human mRNAs via post-transcriptional regulation. Interindividual variation of the miRNA expression levels is likely to influence the expression of miRNA target genes and may therefore contribute to phenotypic differences in humans, including susceptibility to common disorders. The extent to which miRNA levels are genetically controlled is largely unknown. In this report, we assayed the expression levels of miRNAs in primary fibroblasts from 180 European newborns of the GenCord project and performed association analysis to identify eQTLs (expression quantitative traits loci). We detected robust expression for 121 miRNAs out of 365 interrogated. We have identified significant cis- (10%) and trans- (11%) eQTLs. Furthermore, we detected one genomic locus (rs1522653) that influences the expression levels of five miRNAs, thus unraveling a novel mechanism for coregulation of miRNA expression.

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Year:  2010        PMID: 21147911      PMCID: PMC3012927          DOI: 10.1101/gr.109371.110

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  32 in total

1.  Natural variation in human gene expression assessed in lymphoblastoid cells.

Authors:  Vivian G Cheung; Laura K Conlin; Teresa M Weber; Melissa Arcaro; Kuang-Yu Jen; Michael Morley; Richard S Spielman
Journal:  Nat Genet       Date:  2003-02-03       Impact factor: 38.330

Review 2.  The functions of animal microRNAs.

Authors:  Victor Ambros
Journal:  Nature       Date:  2004-09-16       Impact factor: 49.962

3.  Mapping determinants of human gene expression by regional and genome-wide association.

Authors:  Vivian G Cheung; Richard S Spielman; Kathryn G Ewens; Teresa M Weber; Michael Morley; Joshua T Burdick
Journal:  Nature       Date:  2005-10-27       Impact factor: 49.962

Review 4.  The diverse functions of microRNAs in animal development and disease.

Authors:  Wigard P Kloosterman; Ronald H A Plasterk
Journal:  Dev Cell       Date:  2006-10       Impact factor: 12.270

5.  Using GOstats to test gene lists for GO term association.

Authors:  S Falcon; R Gentleman
Journal:  Bioinformatics       Date:  2006-11-10       Impact factor: 6.937

6.  Gene expression variation and expression quantitative trait mapping of human chromosome 21 genes.

Authors:  Samuel Deutsch; Robert Lyle; Emmanouil T Dermitzakis; Homa Attar; Lakshman Subrahmanyan; Corinne Gehrig; Leila Parand; Maryline Gagnebin; Jacques Rougemont; C Victor Jongeneel; Stylianos E Antonarakis
Journal:  Hum Mol Genet       Date:  2005-10-26       Impact factor: 6.150

7.  Transcriptome genetics using second generation sequencing in a Caucasian population.

Authors:  Stephen B Montgomery; Micha Sammeth; Maria Gutierrez-Arcelus; Radoslaw P Lach; Catherine Ingle; James Nisbett; Roderic Guigo; Emmanouil T Dermitzakis
Journal:  Nature       Date:  2010-03-10       Impact factor: 49.962

8.  Genetic analysis of genome-wide variation in human gene expression.

Authors:  Michael Morley; Cliona M Molony; Teresa M Weber; James L Devlin; Kathryn G Ewens; Richard S Spielman; Vivian G Cheung
Journal:  Nature       Date:  2004-07-21       Impact factor: 49.962

9.  Genome-wide associations of gene expression variation in humans.

Authors:  Barbara E Stranger; Matthew S Forrest; Andrew G Clark; Mark J Minichiello; Samuel Deutsch; Robert Lyle; Sarah Hunt; Brenda Kahl; Stylianos E Antonarakis; Simon Tavaré; Panagiotis Deloukas; Emmanouil T Dermitzakis
Journal:  PLoS Genet       Date:  2005-12-16       Impact factor: 5.917

10.  Human MicroRNA targets.

Authors:  Bino John; Anton J Enright; Alexei Aravin; Thomas Tuschl; Chris Sander; Debora S Marks
Journal:  PLoS Biol       Date:  2004-10-05       Impact factor: 8.029

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  44 in total

1.  Emodin can induce K562 cells to erythroid differentiation and improve the expression of globin genes.

Authors:  Yan-Ni Ma; Ming-Tai Chen; Zhi-Kui Wu; Hua-Lu Zhao; Hai-Chuan Yu; Jia Yu; Jun-Wu Zhang
Journal:  Mol Cell Biochem       Date:  2013-06-07       Impact factor: 3.396

2.  Incorporating inter-relationships between different levels of genomic data into cancer clinical outcome prediction.

Authors:  Dokyoon Kim; Hyunjung Shin; Kyung-Ah Sohn; Anurag Verma; Marylyn D Ritchie; Ju Han Kim
Journal:  Methods       Date:  2014-02-18       Impact factor: 3.608

3.  Integrative multi-omics analysis revealed SNP-lncRNA-mRNA (SLM) networks in human peripheral blood mononuclear cells.

Authors:  Wei Xia; Xiao-Wei Zhu; Xin-Bo Mo; Long-Fei Wu; Jian Wu; Yu-Fan Guo; Ke-Qin Zeng; Ming-Jun Wang; Xiang Lin; Ying-Hua Qiu; Lan Wang; Pei He; Fang-Fei Xie; Peng-Fei Bing; Xin Lu; Yao-Zhong Liu; Neng-Jun Yi; Fei-Yan Deng; Shu-Feng Lei
Journal:  Hum Genet       Date:  2017-02-28       Impact factor: 4.132

4.  Evaluation of microRNA expression profiles and their associations with risk alleles in lymphoblastoid cell lines of familial ovarian cancer.

Authors:  Jie Shen; Dan Wang; Steven R Gregory; Leonard Medico; Qiang Hu; Li Yan; Kunle Odunsi; Shashikant B Lele; Christine B Ambrosone; Song Liu; Hua Zhao
Journal:  Carcinogenesis       Date:  2012-01-10       Impact factor: 4.944

5.  A micro-ribonucleic acid signature associated with recovery from assist device support in 2 groups of patients with severe heart failure.

Authors:  Ravi Ramani; Deborah Vela; Ana Segura; Dennis McNamara; Bonnie Lemster; Vishnupriya Samarendra; Robert Kormos; Yoshiya Toyoda; Christian Bermudez; O H Frazier; Christine S Moravec; John Gorcsan; Heinrich Taegtmeyer; Charles F McTiernan
Journal:  J Am Coll Cardiol       Date:  2011-11-22       Impact factor: 24.094

6.  Mapping genetic contributions to cardiac pathology induced by Beta-adrenergic stimulation in mice.

Authors:  Christoph D Rau; Jessica Wang; Rozeta Avetisyan; Milagros C Romay; Lisa Martin; Shuxun Ren; Yibin Wang; Aldons J Lusis
Journal:  Circ Cardiovasc Genet       Date:  2014-12-05

7.  Using gene expression to improve the power of genome-wide association analysis.

Authors:  Yen-Yi Ho; Emily C Baechler; Ward Ortmann; Timothy W Behrens; Robert R Graham; Tushar R Bhangale; Wei Pan
Journal:  Hum Hered       Date:  2014-07-30       Impact factor: 0.444

8.  The Genotype-Tissue Expression (GTEx) project.

Authors: 
Journal:  Nat Genet       Date:  2013-06       Impact factor: 38.330

9.  A feedback loop consisting of microRNA 23a/27a and the β-like globin suppressors KLF3 and SP1 regulates globin gene expression.

Authors:  Yanni Ma; Bin Wang; Fengbing Jiang; Dongsheng Wang; Huiwen Liu; Yunmeng Yan; He Dong; Fang Wang; Bei Gong; Yong Zhu; Lei Dong; Haixin Yin; Zhongzu Zhang; Hualu Zhao; Zhikui Wu; Junwu Zhang; Jingguo Zhou; Jia Yu
Journal:  Mol Cell Biol       Date:  2013-08-05       Impact factor: 4.272

10.  Genetic regulation of human adipose microRNA expression and its consequences for metabolic traits.

Authors:  Mete Civelek; Raffi Hagopian; Calvin Pan; Nam Che; Wen-pin Yang; Paul S Kayne; Niyas K Saleem; Henna Cederberg; Johanna Kuusisto; Peter S Gargalovic; Todd G Kirchgessner; Markku Laakso; Aldons J Lusis
Journal:  Hum Mol Genet       Date:  2013-04-04       Impact factor: 6.150

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