Literature DB >> 24740230

Posttranscriptional regulatory networks: from expression profiling to integrative analysis of mRNA and microRNA data.

Swanhild U Meyer1, Katharina Stoecker, Steffen Sass, Fabian J Theis, Michael W Pfaffl.   

Abstract

Protein coding RNAs are posttranscriptionally regulated by microRNAs, a class of small noncoding RNAs. Insights in messenger RNA (mRNA) and microRNA (miRNA) regulatory interactions facilitate the understanding of fine-tuning of gene expression and might allow better estimation of protein synthesis. However, in silico predictions of mRNA-microRNA interactions do not take into account the specific transcriptomic status of the biological system and are biased by false positives. One possible solution to predict rather reliable mRNA-miRNA relations in the specific biological context is to integrate real mRNA and miRNA transcriptomic data as well as in silico target predictions. This chapter addresses the workflow and methods one can apply for expression profiling and the integrative analysis of mRNA and miRNA data, as well as how to analyze and interpret results, and how to build up models of posttranscriptional regulatory networks.

Mesh:

Substances:

Year:  2014        PMID: 24740230     DOI: 10.1007/978-1-4939-0733-5_15

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  5 in total

Review 1.  MicroRNA regulatory networks in human adipose tissue and obesity.

Authors:  Peter Arner; Agné Kulyté
Journal:  Nat Rev Endocrinol       Date:  2015-03-03       Impact factor: 43.330

2.  Integrative Analysis of MicroRNA and mRNA Data Reveals an Orchestrated Function of MicroRNAs in Skeletal Myocyte Differentiation in Response to TNF-α or IGF1.

Authors:  Swanhild U Meyer; Steffen Sass; Nikola S Mueller; Stefan Krebs; Stefan Bauersachs; Sebastian Kaiser; Helmut Blum; Christian Thirion; Sabine Krause; Fabian J Theis; Michael W Pfaffl
Journal:  PLoS One       Date:  2015-08-13       Impact factor: 3.240

3.  Tumor Necrosis Factor Alpha and Insulin-Like Growth Factor 1 Induced Modifications of the Gene Expression Kinetics of Differentiating Skeletal Muscle Cells.

Authors:  Swanhild U Meyer; Stefan Krebs; Christian Thirion; Helmut Blum; Sabine Krause; Michael W Pfaffl
Journal:  PLoS One       Date:  2015-10-08       Impact factor: 3.240

4.  MicroRNA-320 suppresses colorectal cancer by targeting SOX4, FOXM1, and FOXQ1.

Authors:  Radhakrishnan Vishnubalaji; Rimi Hamam; Shijun Yue; Omar Al-Obeed; Moustapha Kassem; Fei-Fei Liu; Abdullah Aldahmash; Nehad M Alajez
Journal:  Oncotarget       Date:  2016-06-14

5.  Toward reliable biomarker signatures in the age of liquid biopsies - how to standardize the small RNA-Seq workflow.

Authors:  Dominik Buschmann; Anna Haberberger; Benedikt Kirchner; Melanie Spornraft; Irmgard Riedmaier; Gustav Schelling; Michael W Pfaffl
Journal:  Nucleic Acids Res       Date:  2016-06-17       Impact factor: 16.971

  5 in total

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