Literature DB >> 15716109

The effect of RNA secondary structures on RNA-ligand binding and the modifier RNA mechanism: a quantitative model.

Jörg Hackermüller1, Nicole-Claudia Meisner, Manfred Auer, Markus Jaritz, Peter F Stadler.   

Abstract

RNA-ligand binding often depends crucially on the local RNA secondary structure at the binding site. We develop here a model that quantitatively predicts the effect of RNA secondary structure on effective RNA-ligand binding activities based on equilibrium thermodynamics and the explicit computations of partition functions for the RNA structures. A statistical test for the impact of a particular structural feature on the binding affinities follows directly from this approach. The formalism is extended to describing the effects of hybridizing small "modifier RNAs" to a target RNA molecule outside its ligand binding site. We illustrate the applicability of our approach by quantitatively describing the interaction of the mRNA stabilizing protein HuR with AU-rich elements. We discuss our model and recent experimental findings demonstrating the effectivity of modifier RNAs in vitro in the context of the current research activities in the field of non-coding RNAs. We speculate that modifier RNAs might also exist in nature; if so, they present an additional regulatory layer for fine-tuning gene expression that could evolve rapidly, leaving no obvious traces in the genomic DNA sequences.

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Year:  2005        PMID: 15716109     DOI: 10.1016/j.gene.2004.11.043

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  23 in total

1.  Predicting in vivo binding sites of RNA-binding proteins using mRNA secondary structure.

Authors:  Xiao Li; Gerald Quon; Howard D Lipshitz; Quaid Morris
Journal:  RNA       Date:  2010-04-23       Impact factor: 4.942

Review 2.  Deciphering the role of RNA-binding proteins in the post-transcriptional control of gene expression.

Authors:  Shivendra Kishore; Sandra Luber; Mihaela Zavolan
Journal:  Brief Funct Genomics       Date:  2010-12-01       Impact factor: 4.241

3.  Partition function and base pairing probabilities of RNA heterodimers.

Authors:  Stephan H Bernhart; Hakim Tafer; Ulrike Mückstein; Christoph Flamm; Peter F Stadler; Ivo L Hofacker
Journal:  Algorithms Mol Biol       Date:  2006-03-16       Impact factor: 1.405

4.  Evolutionary patterns of non-coding RNAs.

Authors:  Athanasius F Bompfünewerer; Christoph Flamm; Claudia Fried; Guido Fritzsch; Ivo L Hofacker; Jörg Lehmann; Kristin Missal; Axel Mosig; Bettina Müller; Sonja J Prohaska; Bärbel M R Stadler; Peter F Stadler; Andrea Tanzer; Stefan Washietl; Christina Witwer
Journal:  Theory Biosci       Date:  2005-04       Impact factor: 1.919

5.  A Quantitative and Predictive Model for RNA Binding by Human Pumilio Proteins.

Authors:  Inga Jarmoskaite; Sarah K Denny; Pavanapuresan P Vaidyanathan; Winston R Becker; Johan O L Andreasson; Curtis J Layton; Kalli Kappel; Varun Shivashankar; Raashi Sreenivasan; Rhiju Das; William J Greenleaf; Daniel Herschlag
Journal:  Mol Cell       Date:  2019-05-08       Impact factor: 17.970

6.  A novel method for the identification of conserved structural patterns in RNA: From small scale to high-throughput applications.

Authors:  Marco Pietrosanto; Eugenio Mattei; Manuela Helmer-Citterich; Fabrizio Ferrè
Journal:  Nucleic Acids Res       Date:  2016-08-31       Impact factor: 16.971

7.  RNAcontext: a new method for learning the sequence and structure binding preferences of RNA-binding proteins.

Authors:  Hilal Kazan; Debashish Ray; Esther T Chan; Timothy R Hughes; Quaid Morris
Journal:  PLoS Comput Biol       Date:  2010-07-01       Impact factor: 4.475

8.  p38alpha stabilizes interleukin-6 mRNA via multiple AU-rich elements.

Authors:  Wenpu Zhao; Min Liu; Keith L Kirkwood
Journal:  J Biol Chem       Date:  2007-11-27       Impact factor: 5.157

9.  Fast prediction of RNA-RNA interaction.

Authors:  Raheleh Salari; Rolf Backofen; S Cenk Sahinalp
Journal:  Algorithms Mol Biol       Date:  2010-01-04       Impact factor: 1.405

Review 10.  Post-transcriptional control during chronic inflammation and cancer: a focus on AU-rich elements.

Authors:  Khalid S A Khabar
Journal:  Cell Mol Life Sci       Date:  2010-05-22       Impact factor: 9.261

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