Literature DB >> 17163768

Flipping off the riboswitch: RNA structures that control gene expression.

Dipali G Sashital1, Samuel E Butcher.   

Abstract

Riboswitches are metabolite-sensing RNA structures that have been discovered in regulatory regions of messenger RNA (mRNA). They have the remarkable ability to shut off the transcription or translation of their own mRNAs in response to binding a specific metabolite. In other words, riboswitches regulate their own genes using RNA instead of protein. Three new crystal structures reveal how S-adenosylmethionine and thiamine pyrophosphate riboswitches accomplish this task.

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Year:  2006        PMID: 17163768     DOI: 10.1021/cb6002465

Source DB:  PubMed          Journal:  ACS Chem Biol        ISSN: 1554-8929            Impact factor:   5.100


  5 in total

1.  Non-nearest-neighbor dependence of the stability for RNA bulge loops based on the complete set of group I single-nucleotide bulge loops.

Authors:  Joshua M Blose; Michelle L Manni; Kelly A Klapec; Yukiko Stranger-Jones; Allison C Zyra; Vasiliy Sim; Chad A Griffith; Jason D Long; Martin J Serra
Journal:  Biochemistry       Date:  2007-11-30       Impact factor: 3.162

2.  SAM recognition and conformational switching mechanism in the Bacillus subtilis yitJ S box/SAM-I riboswitch.

Authors:  Changrui Lu; Fang Ding; Anirban Chowdhury; Vineeta Pradhan; Jerneja Tomsic; W Michael Holmes; Tina M Henkin; Ailong Ke
Journal:  J Mol Biol       Date:  2010-10-15       Impact factor: 5.469

3.  Going beyond base-pairs: topology-based characterization of base-multiplets in RNA.

Authors:  Sohini Bhattacharya; Ayush Jhunjhunwala; Antarip Halder; Dhananjay Bhattacharyya; Abhijit Mitra
Journal:  RNA       Date:  2019-02-21       Impact factor: 4.942

4.  Ligand-induced folding of the thiM TPP riboswitch investigated by a structure-based fluorescence spectroscopic approach.

Authors:  Kathrin Lang; Renate Rieder; Ronald Micura
Journal:  Nucleic Acids Res       Date:  2007-08-09       Impact factor: 16.971

5.  Identification of metabolites with anticancer properties by computational metabolomics.

Authors:  Adrian K Arakaki; Roman Mezencev; Nathan J Bowen; Ying Huang; John F McDonald; Jeffrey Skolnick
Journal:  Mol Cancer       Date:  2008-06-17       Impact factor: 27.401

  5 in total

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