Literature DB >> 24803669

Wiring miRNAs to pathways: a topological approach to integrate miRNA and mRNA expression profiles.

Enrica Calura1, Paolo Martini1, Gabriele Sales1, Luca Beltrame2, Giovanna Chiorino3, Maurizio D'Incalci2, Sergio Marchini2, Chiara Romualdi4.   

Abstract

The production rate of gene expression data is nothing less than astounding. However, with the benefit of hindsight we can assert that, since we completely ignored the non-coding part of the transcriptome, we spent the last decade to study cell mechanisms having few data in our hands. In this scenario, microRNAs, which are key post-trascriptional regulators, deserve special attention. Given the state of knowledge about their biogenesis, mechanisms of action and the numerous experimentally validated target genes, miRNAs are also gradually appearing in the formal pathway representations such as KEGG and Reactome maps. However, the number of miRNAs annotated in pathway maps are very few and pathway analyses exploiting this new regulatory layer are still lacking. To fill these gaps, we present 'micrographite' a new pipeline to perform topological pathway analysis integrating gene and miRNA expression profiles. Here, micrographite is used to study and dissect the epithelial ovarian cancer gene and miRNA transcriptome defining and validating a new regulatory circuit related to ovarian cancer histotype specificity.
© The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2014        PMID: 24803669      PMCID: PMC4066781          DOI: 10.1093/nar/gku354

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  45 in total

1.  KEGG: kyoto encyclopedia of genes and genomes.

Authors:  M Kanehisa; S Goto
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Association between miR-200c and the survival of patients with stage I epithelial ovarian cancer: a retrospective study of two independent tumour tissue collections.

Authors:  Sergio Marchini; Duccio Cavalieri; Robert Fruscio; Enrica Calura; Daniela Garavaglia; Ilaria Fuso Nerini; Costantino Mangioni; Giorgio Cattoretti; Luca Clivio; Luca Beltrame; Dionyssios Katsaros; Luca Scarampi; Guido Menato; Patrizia Perego; Giovanna Chiorino; Alessandro Buda; Chiara Romualdi; Maurizio D'Incalci
Journal:  Lancet Oncol       Date:  2011-02-21       Impact factor: 41.316

Review 3.  Folate and carcinogenesis: an integrated scheme.

Authors:  S W Choi; J B Mason
Journal:  J Nutr       Date:  2000-02       Impact factor: 4.798

4.  c-Myc-regulated microRNAs modulate E2F1 expression.

Authors:  Kathryn A O'Donnell; Erik A Wentzel; Karen I Zeller; Chi V Dang; Joshua T Mendell
Journal:  Nature       Date:  2005-06-09       Impact factor: 49.962

5.  ARF promotes MDM2 degradation and stabilizes p53: ARF-INK4a locus deletion impairs both the Rb and p53 tumor suppression pathways.

Authors:  Y Zhang; Y Xiong; W G Yarbrough
Journal:  Cell       Date:  1998-03-20       Impact factor: 41.582

Review 6.  MicroRNA control of signal transduction.

Authors:  Masafumi Inui; Graziano Martello; Stefano Piccolo
Journal:  Nat Rev Mol Cell Biol       Date:  2010-03-10       Impact factor: 94.444

Review 7.  Expression profiles of genes involved in poor prognosis of epithelial ovarian carcinoma: a review.

Authors:  Shozo Yoshida; Naoto Furukawa; Shoji Haruta; Yasuhito Tanase; Seiji Kanayama; Taketoshi Noguchi; Mariko Sakata; Yoshihiko Yamada; Hidekazu Oi; Hiroshi Kobayashi
Journal:  Int J Gynecol Cancer       Date:  2009-08       Impact factor: 3.437

8.  Downregulation of p53-inducible microRNAs 192, 194, and 215 impairs the p53/MDM2 autoregulatory loop in multiple myeloma development.

Authors:  Flavia Pichiorri; Sung-Suk Suh; Alberto Rocci; Luciana De Luca; Cristian Taccioli; Ramasamy Santhanam; Wenchao Zhou; Don M Benson; Craig Hofmainster; Hansjuerg Alder; Michela Garofalo; Gianpiero Di Leva; Stefano Volinia; Huey-Jen Lin; Danilo Perrotti; Michael Kuehl; Rami I Aqeilan; Antonio Palumbo; Carlo M Croce
Journal:  Cancer Cell       Date:  2010-10-19       Impact factor: 31.743

9.  graphite - a Bioconductor package to convert pathway topology to gene network.

Authors:  Gabriele Sales; Enrica Calura; Duccio Cavalieri; Chiara Romualdi
Journal:  BMC Bioinformatics       Date:  2012-01-31       Impact factor: 3.169

10.  PID: the Pathway Interaction Database.

Authors:  Carl F Schaefer; Kira Anthony; Shiva Krupa; Jeffrey Buchoff; Matthew Day; Timo Hannay; Kenneth H Buetow
Journal:  Nucleic Acids Res       Date:  2008-10-02       Impact factor: 16.971

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  18 in total

1.  MICRORNA-AUGMENTED PATHWAYS (mirAP) AND THEIR APPLICATIONS TO PATHWAY ANALYSIS AND DISEASE SUBTYPING.

Authors:  Diana Diaz; Michele Donato; Tin Nguyen; Sorin Draghici
Journal:  Pac Symp Biocomput       Date:  2017

Review 2.  Multi-omics data integration considerations and study design for biological systems and disease.

Authors:  Stefan Graw; Kevin Chappell; Charity L Washam; Allen Gies; Jordan Bird; Michael S Robeson; Stephanie D Byrum
Journal:  Mol Omics       Date:  2021-04-19

3.  Overcoming the matched-sample bottleneck: an orthogonal approach to integrate omic data.

Authors:  Tin Nguyen; Diana Diaz; Rebecca Tagett; Sorin Draghici
Journal:  Sci Rep       Date:  2016-07-12       Impact factor: 4.379

4.  Subpathway-GMir: identifying miRNA-mediated metabolic subpathways by integrating condition-specific genes, microRNAs, and pathway topologies.

Authors:  Li Feng; Yanjun Xu; Yunpeng Zhang; Zeguo Sun; Junwei Han; Chunlong Zhang; Haixiu Yang; Desi Shang; Fei Su; Xinrui Shi; Shang Li; Chunquan Li; Xia Li
Journal:  Oncotarget       Date:  2015-11-17

Review 5.  Multi-Omics Model Applied to Cancer Genetics.

Authors:  Francesco Pettini; Anna Visibelli; Vittoria Cicaloni; Daniele Iovinelli; Ottavia Spiga
Journal:  Int J Mol Sci       Date:  2021-05-27       Impact factor: 5.923

6.  Disentangling the microRNA regulatory milieu in multiple myeloma: integrative genomics analysis outlines mixed miRNA-TF circuits and pathway-derived networks modulated in t(4;14) patients.

Authors:  Enrica Calura; Andrea Bisognin; Martina Manzoni; Katia Todoerti; Elisa Taiana; Gabriele Sales; Gareth J Morgan; Giovanni Tonon; Nicola Amodio; Pierfrancesco Tassone; Antonino Neri; Luca Agnelli; Chiara Romualdi; Stefania Bortoluzzi
Journal:  Oncotarget       Date:  2016-01-19

Review 7.  Managing Pancreatic Adenocarcinoma: A Special Focus in MicroRNA Gene Therapy.

Authors:  Marta Passadouro; Henrique Faneca
Journal:  Int J Mol Sci       Date:  2016-05-13       Impact factor: 5.923

Review 8.  MicroRNA: a new and promising potential biomarker for diagnosis and prognosis of ovarian cancer.

Authors:  Manish K Pal; Shyam P Jaiswar; Vinaya N Dwivedi; Amit K Tripathi; Ashish Dwivedi; Pushplata Sankhwar
Journal:  Cancer Biol Med       Date:  2015-12       Impact factor: 4.248

9.  A data-driven network model of primary myelofibrosis: transcriptional and post-transcriptional alterations in CD34+ cells.

Authors:  E Calura; S Pizzini; A Bisognin; A Coppe; G Sales; E Gaffo; T Fanelli; C Mannarelli; R Zini; R Norfo; V Pennucci; R Manfredini; C Romualdi; P Guglielmelli; A M Vannucchi; S Bortoluzzi
Journal:  Blood Cancer J       Date:  2016-06-24       Impact factor: 11.037

10.  Integrated miRNA-mRNA spatial signature for oral squamous cell carcinoma: a prospective profiling study of Narrow Band Imaging guided resection.

Authors:  Camile S Farah; Simon A Fox; Andrew J Dalley
Journal:  Sci Rep       Date:  2018-01-16       Impact factor: 4.379

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