Literature DB >> 18926791

High-throughput assays probing protein-RNA interactions of eukaryotic translation initiation factors.

Gabriela Galicia-Vázquez1, Lisa Lindqvist, Xiaofeng Wang, Isabelle Harvey, Jing Liu, Jerry Pelletier.   

Abstract

Protein-RNA interactions are involved in all facets of RNA biology. The identification of small molecules that selectively block such bimolecular interactions could provide insight into previously unexplored steps of gene regulation. Such is the case for regulation of eukaryotic protein synthesis where interactions between messenger RNA (mRNA) and several eukaryotic initiation factors govern the recruitment of 40S ribosomes (and associated factors) to mRNA templates during the initiation phase. We have designed simple fluorescence polarization-based high-throughput screening assays that query the binding of several translation factors to RNA and found that the mixed inhibitor p-chloromercuribenzoate interferes with poly(A) binding protein-RNA interaction.

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Year:  2008        PMID: 18926791     DOI: 10.1016/j.ab.2008.09.037

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  6 in total

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Authors:  Jessica E Wynn; Webster L Santos
Journal:  Org Biomol Chem       Date:  2015-06-07       Impact factor: 3.876

2.  Characterization and in vitro activity of a branched peptide boronic acid that interacts with HIV-1 RRE RNA.

Authors:  Jessica E Wynn; Wenyu Zhang; Denis M Tebit; Laurie R Gray; Marie-Louise Hammarskjold; David Rekosh; Webster L Santos
Journal:  Bioorg Med Chem       Date:  2016-04-05       Impact factor: 3.641

3.  Targeting folded RNA: a branched peptide boronic acid that binds to a large surface area of HIV-1 RRE RNA.

Authors:  Wenyu Zhang; David I Bryson; Jason B Crumpton; Jessica Wynn; Webster L Santos
Journal:  Org Biomol Chem       Date:  2013-10-07       Impact factor: 3.876

4.  RNABindRPlus: a predictor that combines machine learning and sequence homology-based methods to improve the reliability of predicted RNA-binding residues in proteins.

Authors:  Rasna R Walia; Li C Xue; Katherine Wilkins; Yasser El-Manzalawy; Drena Dobbs; Vasant Honavar
Journal:  PLoS One       Date:  2014-05-20       Impact factor: 3.240

5.  RNA-binding residues prediction using structural features.

Authors:  Huizhu Ren; Ying Shen
Journal:  BMC Bioinformatics       Date:  2015-08-09       Impact factor: 3.169

6.  Screening for antifibrotic compounds using high throughput system based on fluorescence polarization.

Authors:  Branko Stefanovic; Lela Stefanovic
Journal:  Biology (Basel)       Date:  2014-04-10
  6 in total

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