title: miRror-Suite: decoding coordinated regulation by microRNAs.
abstract: MicroRNAs (miRNAs) are short, non-coding RNAs that negatively regulate post-transcriptional mRNA levels. Recent data from cross-linking and immunoprecipitation technologies confirmed the combinatorial nature of the miRNA regulation. We present the miRror-Suite platform, developed to yield a robust and concise explanation for miRNA regulation from a large collection of differentially expressed transcripts and miRNAs. The miRror-Suite platform includes the miRror2.0 and Probability Supported Iterative miRror (PSI-miRror) tools. Researchers who performed large-scale transcriptomics or miRNA profiling experiments from cells and tissues will benefit from miRror-Suite. Our platform provides a concise, plausible explanation for the regulation of miRNAs in such complex settings. The input for miRror2.0 may include hundreds of differentially expressed genes or miRNAs. In the case of miRNAs as input, the algorithm seeks the statistically most likely set of genes regulated by this input. Alternatively, for a set of genes, the miRror algorithm seeks a collection of miRNAs that best explains their regulation. The miRror-Suite algorithm designates statistical criteria that were uniformly applied to a dozen miRNA-target prediction databases. Users select the preferred databases for predictions and numerous optional filters/parameters that restrict the search to the desired tissues, cell lines, level of expression and predictor scores. PSI-miRror is an advanced application for refining the input set by gradually enhancing the degree of pairing of the sets of miRNAs with the sets of targets. The iterations of PSI-miRror probe the interlinked nature of miRNAs and targets within cells. miRror-Suite serves experimentalists in facilitating the understanding of miRNA regulation through combinatorial- cooperative activity. The platform applies to human, mouse, rat, fly, worm and zebrafish. Database URL: http://www.mirrorsuite.cs.huji.ac.il.
authors.affiliation: Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, Sudarsky Center for Computational Biology and The Selim and Rachel Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 91904, Israel.
authors.forename: Yitzhak
authors.initials: Y
authors.lastname: Friedman
authors.affiliation: Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, Sudarsky Center for Computational Biology and The Selim and Rachel Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 91904, Israel.
authors.forename: Solange
authors.initials: S
authors.lastname: Karsenty
authors.affiliation: Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, Sudarsky Center for Computational Biology and The Selim and Rachel Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 91904, Israel michall@cc.huji.ac.il.
authors.forename: Michal
authors.initials: M
authors.lastname: Linial
mesh_terms: D000818:Animals; D030541:Databases, Genetic; D005786:Gene Expression Regulation; D006801:Humans; D051379:Mice; D035683:MicroRNAs / Q000235:genetics* / Q000378:metabolism; D051381:Rats; D013223:Statistics as Topic
chemical_list: D035683:MicroRNAs