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miRNAs、转录因子和靶基因的相互作用:将动态表达变化与功能联系起来。

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

机构信息

Genomics Research Unit, Centre de Recherche Public de la Santé, L-1526 Luxembourg, Luxembourg.

出版信息

Nucleic Acids Res. 2013 Mar 1;41(5):2817-31. doi: 10.1093/nar/gks1471. Epub 2013 Jan 17.

Abstract

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-γ 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-γ 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.

摘要

微小 RNA(miRNAs)是普遍表达的小非编码 RNA,在大多数情况下,它们在转录后水平负调控基因表达。miRNAs 参与微调增殖、细胞死亡和细胞周期控制等基本细胞过程,并且被认为赋予了生物反应的稳健性。在这里,我们通过干扰素-γ刺激黑色素瘤细胞激活 Janus 激酶/信号转导和转录激活因子(Jak/STAT)途径,同时研究了 miRNA 和 mRNA 表达水平随时间的转录变化。为了研究全局 miRNA 和 mRNA 表达模式,我们分析了时间序列微阵列数据。我们观察到 miRNA 的反应滞后于 mRNAs(12-24 h 后 24-48 h),并确定了在细胞反应的每个步骤中涉及的生物学功能。对上游调节剂的推断允许鉴定参与干扰素-γ刺激细胞反应的转录调节剂。将转录调节剂和 miRNAs 的表达谱与它们的注释功能联系起来,我们展示了 miRNAs 和上游调节剂与生物学功能的动态相互作用。最后,我们的数据揭示了涉及转录调节剂、mRNAs 和 miRNAs 的前馈环形式的网络基序。从整合时间序列 mRNA 和 miRNA 数据中获得的额外信息可能代表着理解基因表达调控原则的重要一步。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a50a/3597666/a2f6472fe217/gks1471f1p.jpg

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