Literature DB >> 23361983

Modeling miRNA regulation in cancer signaling systems: miR-34a regulation of the p53/Sirt1 signaling module.

Xin Lai1, Olaf Wolkenhauer, Julio Vera.   

Abstract

MicroRNAs (miRNAs) are a family of small regulatory RNAs whose function is to regulate the activity and stability of specific messenger RNA targets through posttranscriptional regulatory mechanisms. Most of the times signaling systems involving miRNA modulation are not linear pathways in which a certain transcription factor activate the expression of miRNAs that posttranscriptionally represses targeting proteins, but complex regulatory structures involving a variety of feedback-loop architectures.In this book chapter, we define, discuss, and apply a Systems Biology approach to investigate dynamical features of miRNA regulation, based on the integration of experimental evidences, hypotheses, and quantitative data through mathematical modeling. We further illustrate the approach using as case study the signaling module composed by the proteins p53, Sirt1, and the regulatory miRNA miR-34a. The model was used not only to investigate different possible designs of the silencing mechanism exerted by miR-34a on Sirt1 but also to simulate the dynamics of the system under conditions of (pathological) deregulation of its compounds.

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Year:  2012        PMID: 23361983     DOI: 10.1007/978-1-61779-833-7_6

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


  10 in total

1.  MicroRNA-based regulation of epithelial-hybrid-mesenchymal fate determination.

Authors:  Mingyang Lu; Mohit Kumar Jolly; Herbert Levine; José N Onuchic; Eshel Ben-Jacob
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-23       Impact factor: 11.205

2.  miR-574-3p acts as a tumor promoter in osteosarcoma by targeting SMAD4 signaling pathway.

Authors:  Haidong Xu; Xiaozhou Liu; Juan Zhou; Xiaoyun Chen; Jianning Zhao
Journal:  Oncol Lett       Date:  2016-11-07       Impact factor: 2.967

3.  A systems' biology approach to study microRNA-mediated gene regulatory networks.

Authors:  Xin Lai; Animesh Bhattacharya; Ulf Schmitz; Manfred Kunz; Julio Vera; Olaf Wolkenhauer
Journal:  Biomed Res Int       Date:  2013-11-17       Impact factor: 3.411

Review 4.  Modelling the molecular mechanisms of aging.

Authors:  Mark T Mc Auley; Alvaro Martinez Guimera; David Hodgson; Neil Mcdonald; Kathleen M Mooney; Amy E Morgan; Carole J Proctor
Journal:  Biosci Rep       Date:  2017-02-23       Impact factor: 3.840

5.  Ampelopsin attenuates brain aging of D-gal-induced rats through miR-34a-mediated SIRT1/mTOR signal pathway.

Authors:  Xianjuan Kou; Xingran Liu; Xianbing Chen; Jie Li; Xiaoqi Yang; Jingjing Fan; Yi Yang; Ning Chen
Journal:  Oncotarget       Date:  2016-11-15

6.  MiR-205-5p and miR-342-3p cooperate in the repression of the E2F1 transcription factor in the context of anticancer chemotherapy resistance.

Authors:  Xin Lai; Shailendra K Gupta; Ulf Schmitz; Stephan Marquardt; Susanne Knoll; Alf Spitschak; Olaf Wolkenhauer; Brigitte M Pützer; Julio Vera
Journal:  Theranostics       Date:  2018-01-01       Impact factor: 11.556

7.  The Stress-Responsive microRNA-34a Alters Insulin Signaling and Actions in Adipocytes through Induction of the Tyrosine Phosphatase PTP1B.

Authors:  Pierre-Jean Cornejo; Bastien Vergoni; Mickaël Ohanna; Brice Angot; Teresa Gonzalez; Jennifer Jager; Jean-François Tanti; Mireille Cormont
Journal:  Cells       Date:  2022-08-19       Impact factor: 7.666

8.  Understanding microRNA-mediated gene regulatory networks through mathematical modelling.

Authors:  Xin Lai; Olaf Wolkenhauer; Julio Vera
Journal:  Nucleic Acids Res       Date:  2016-06-17       Impact factor: 16.971

9.  MicroRNA and transcriptome analysis in periocular Sebaceous Gland Carcinoma.

Authors:  John C Bladen; Jun Wang; Ajanthah Sangaralingam; Mariya Moosajee; Caroline Fitchett; Claude Chelala; Michele Beaconsfield; Edel A O'Toole; Michael P Philpott; Daniel G Ezra
Journal:  Sci Rep       Date:  2018-05-14       Impact factor: 4.379

Review 10.  Mechanistic Computational Models of MicroRNA-Mediated Signaling Networks in Human Diseases.

Authors:  Chen Zhao; Yu Zhang; Aleksander S Popel
Journal:  Int J Mol Sci       Date:  2019-01-19       Impact factor: 5.923

  10 in total

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