Integrated analysis of microRNA and mRNA expression and association with HIF binding reveals the complexity of microRNA expression regulation under hypoxia

被引:143
作者
Camps, Carme [1 ]
Saini, Harpreet K. [2 ]
Mole, David R. [3 ]
Choudhry, Hani [1 ,6 ]
Reczko, Martin [4 ]
Guerra-Assuncao, Jose Afonso [2 ]
Tian, Ya-Min [3 ]
Buffa, Francesca M. [5 ]
Harris, Adrian L. [5 ]
Hatzigeorgiou, Artemis G. [4 ]
Enright, Anton J. [2 ]
Ragoussis, Jiannis [1 ,4 ]
机构
[1] Univ Oxford, Wellcome Trust Ctr Human Genet, Oxford, England
[2] EMBL European Bioinformat Inst, Hinxton, England
[3] Univ Oxford, Henry Wellcome Bldg Mol Physiol, Oxford, England
[4] Biomed Sci Res Ctr Alexander Fleming, Inst Mol Oncol, Vari 16672, Greece
[5] Univ Oxford, John Radcliffe Hosp, Weatherall Inst Mol Med, Cancer Res UK Mol Oncol Labs, Oxford OX3 9DU, England
[6] King Abdulaziz Univ, Fac Sci, Dept Biochem, Jeddah, Saudi Arabia
基金
英国生物技术与生命科学研究理事会; 英国惠康基金;
关键词
MicroRNA; Hypoxia; HIF; Transcription factor; Gene regulation; BREAST-CANCER CELLS; GENE-EXPRESSION; OXIDATIVE STRESS; INDUCIBLE FACTOR; QUALITY-CONTROL; GENOME; PATHWAYS; PROTEIN; OXYGEN; DDX5;
D O I
10.1186/1476-4598-13-28
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
070307 [化学生物学]; 071010 [生物化学与分子生物学];
摘要
Background: In mammalians, HIF is a master regulator of hypoxia gene expression through direct binding to DNA, while its role in microRNA expression regulation, critical in the hypoxia response, is not elucidated genome wide. Our aim is to investigate in depth the regulation of microRNA expression by hypoxia in the breast cancer cell line MCF-7, establish the relationship between microRNA expression and HIF binding sites, pri-miRNA transcription and microRNA processing gene expression. Methods: MCF-7 cells were incubated at 1% Oxygen for 16, 32 and 48 h. SiRNA against HIF-1 alpha and HIF-2 alpha were performed as previously published. MicroRNA and mRNA expression were assessed using microRNA microarrays, small RNA sequencing, gene expression microarrays and Real time PCR. The Kraken pipeline was applied for microRNA-seq analysis along with Bioconductor packages. Microarray data was analysed using Limma (Bioconductor), ChIP-seq data were analysed using Gene Set Enrichment Analysis and multiple testing correction applied in all analyses. Results: Hypoxia time course microRNA sequencing data analysis identified 41 microRNAs significantly up- and 28 down-regulated, including hsa-miR-4521, hsa-miR-145-3p and hsa-miR-222-5p reported in conjunction with hypoxia for the first time. Integration of HIF-1 alpha and HIF-2 alpha ChIP-seq data with expression data showed overall association between binding sites and microRNA up-regulation, with hsa-miR-210-3p and microRNAs of miR-27a/23a/24-2 and miR-30b/30d clusters as predominant examples. Moreover the expression of hsa-miR-27a-3p and hsa-miR-24-3p was found positively associated to a hypoxia gene signature in breast cancer. Gene expression analysis showed no full coordination between pri-miRNA and microRNA expression, pointing towards additional levels of regulation. Several transcripts involved in microRNA processing were found regulated by hypoxia, of which DICER (down-regulated) and AGO4 (up-regulated) were HIF dependent. DICER expression was found inversely correlated to hypoxia in breast cancer. Conclusions: Integrated analysis of microRNA, mRNA and ChIP-seq data in a model cell line supports the hypothesis that microRNA expression under hypoxia is regulated at transcriptional and post-transcriptional level, with the presence of HIF binding sites at microRNA genomic loci associated with up-regulation. The identification of hypoxia and HIF regulated microRNAs relevant for breast cancer is important for our understanding of disease development and design of therapeutic interventions.
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