Interplay of microRNAs, transcription factors and target genes: linking dynamic expression changes to function

被引:122
作者
Nazarov, Petr V. [1 ]
Reinsbach, Susanne E. [2 ]
Muller, Arnaud [1 ]
Nicot, Nathalie [1 ]
Philippidou, Demetra [2 ]
Vallar, Laurent [1 ]
Kreis, Stephanie [2 ]
机构
[1] Ctr Rech Publ Sante, Genom Res Unit, L-1526 Luxembourg, Luxembourg
[2] Univ Luxembourg, Life Sci Res Unit, Signal Transduct Lab, L-1511 Luxembourg, Luxembourg
关键词
INTERFERON-GAMMA; SIGNAL TRANSDUCER; FEEDFORWARD LOOPS; MESSENGER-RNAS; CELLS; BIOGENESIS; ACTIVATION; SIGNATURES; CANCER; GROWTH;
D O I
10.1093/nar/gks1471
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
MicroRNAs (miRNAs) are ubiquitously expressed small non-coding RNAs that, in most cases, negatively regulate gene expression at the post-transcriptional level. miRNAs are involved in fine-tuning fundamental cellular processes such as proliferation, cell death and cell cycle control and are believed to confer robustness to biological responses. Here, we investigated simultaneously the transcriptional changes of miRNA and mRNA expression levels over time after activation of the Janus kinase/Signal transducer and activator of transcription (Jak/STAT) pathway by interferon-gamma stimulation of melanoma cells. To examine global miRNA and mRNA expression patterns, time-series microarray data were analysed. We observed delayed responses of miRNAs (after 24-48 h) with respect to mRNAs (12-24 h) and identified biological functions involved at each step of the cellular response. Inference of the upstream regulators allowed for identification of transcriptional regulators involved in cellular reactions to interferon-gamma stimulation. Linking expression profiles of transcriptional regulators and miRNAs with their annotated functions, we demonstrate the dynamic interplay of miRNAs and upstream regulators with biological functions. Finally, our data revealed network motifs in the form of feed-forward loops involving transcriptional regulators, mRNAs and miRNAs. Additional information obtained from integrating time-series mRNA and miRNA data may represent an important step towards understanding the regulatory principles of gene expression.
引用
收藏
页码:2817 / 2831
页数:15
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