Literature DB >> 34165711

Mathematical Modeling of ceRNA-Based Interactions.

Andrew Dhawan1.   

Abstract

Competing endogenous RNA (ceRNA) molecules have emerged as key players in regulating gene expression, increasing the complexity of the range of possible dynamics within a cell. The actions of competing RNA typically are sponging behaviors, in a manner that fine-tunes gene expression, but there are particular network structures that may show destabilization due to ceRNA interactions. In this chapter, we discuss how these interactions can be modeled and probed from a mathematical, first-principles perspective.

Keywords:  Competing endogenous RNA (ceRNA ); Long noncoding RNA (lncRNA ); Network modeling; Noncoding RNA; Pseudogene; microRNA (miRNA)

Year:  2021        PMID: 34165711     DOI: 10.1007/978-1-0716-1503-4_7

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


  7 in total

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Authors:  Jeff Hasty; David McMillen; J J Collins
Journal:  Nature       Date:  2002-11-14       Impact factor: 49.962

2.  Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems.

Authors:  Tina Toni; David Welch; Natalja Strelkowa; Andreas Ipsen; Michael P H Stumpf
Journal:  J R Soc Interface       Date:  2009-02-06       Impact factor: 4.118

3.  BioModels Database: a free, centralized database of curated, published, quantitative kinetic models of biochemical and cellular systems.

Authors:  Nicolas Le Novère; Benjamin Bornstein; Alexander Broicher; Mélanie Courtot; Marco Donizelli; Harish Dharuri; Lu Li; Herbert Sauro; Maria Schilstra; Bruce Shapiro; Jacky L Snoep; Michael Hucka
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

4.  Construction and comprehensive analysis of a ceRNA network to reveal potential prognostic biomarkers for hepatocellular carcinoma.

Authors:  Junyu Long; Yi Bai; Xiaobo Yang; Jianzhen Lin; Xu Yang; Dongxu Wang; Li He; Yongchang Zheng; Haitao Zhao
Journal:  Cancer Cell Int       Date:  2019-04-11       Impact factor: 5.722

5.  Spatial stochastic modelling of the Hes1 gene regulatory network: intrinsic noise can explain heterogeneity in embryonic stem cell differentiation.

Authors:  Marc Sturrock; Andreas Hellander; Anastasios Matzavinos; Mark A J Chaplain
Journal:  J R Soc Interface       Date:  2013-01-16       Impact factor: 4.118

6.  Boolean network model predicts cell cycle sequence of fission yeast.

Authors:  Maria I Davidich; Stefan Bornholdt
Journal:  PLoS One       Date:  2008-02-27       Impact factor: 3.240

7.  Small regulatory RNAs may sharpen spatial expression patterns.

Authors:  Erel Levine; Peter McHale; Herbert Levine
Journal:  PLoS Comput Biol       Date:  2007-11       Impact factor: 4.475

  7 in total

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