Literature DB >> 11397083

Four-way junctions in antisense RNA-mRNA complexes involved in plasmid replication control: a common theme?

F A Kolb1, E Westhof, B Ehresmann, C Ehresmann, E G Wagner, P Romby.   

Abstract

In several groups of bacterial plasmids, antisense RNAs regulate copy number through inhibition of replication initiator protein synthesis. In plasmid R1, we have recently shown that the inhibitory complex between the antisense RNA (CopA) and its target mRNA (CopT) is characterized by the formation of two intermolecular helices, resulting in a four-way junction structure and a side-by-side helical alignment. Based on lead-induced cleavage and ribonuclease (RNase) V(1) probing combined with molecular modeling, a strikingly similar topology is supported for the complex formed between the antisense RNA (Inc) and mRNA (RepZ) of plasmid Col1b-P9. In particular, the position of the four-way junction and the location of divalent ion-binding site(s) indicate that the structural features of these two complexes are essentially the same in spite of sequence differences. Comparisons of several target and antisense RNAs in other plasmids further indicate that similar binding pathways are used to form the inhibitory antisense-target RNA complexes. Thus, in all these systems, the structural features of both antisense and target RNAs determine the topologically possible and kinetically favored pathway that is essential for efficient in vivo control. Copyright 2001 Academic Press.

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Year:  2001        PMID: 11397083     DOI: 10.1006/jmbi.2001.4677

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  10 in total

1.  Bulged residues promote the progression of a loop-loop interaction to a stable and inhibitory antisense-target RNA complex.

Authors:  F A Kolb; E Westhof; C Ehresmann; B Ehresmann; E G Wagner; P Romby
Journal:  Nucleic Acids Res       Date:  2001-08-01       Impact factor: 16.971

2.  Structure and stability of RNA/RNA kissing complex: with application to HIV dimerization initiation signal.

Authors:  Song Cao; Shi-Jie Chen
Journal:  RNA       Date:  2011-10-25       Impact factor: 4.942

Review 3.  Predicting and modeling RNA architecture.

Authors:  Eric Westhof; Benoît Masquida; Fabrice Jossinet
Journal:  Cold Spring Harb Perspect Biol       Date:  2011-02-01       Impact factor: 10.005

4.  Versatile RNA-sensing transcriptional regulators for engineering genetic networks.

Authors:  Julius B Lucks; Lei Qi; Vivek K Mutalik; Denise Wang; Adam P Arkin
Journal:  Proc Natl Acad Sci U S A       Date:  2011-05-09       Impact factor: 11.205

Review 5.  cis-antisense RNA, another level of gene regulation in bacteria.

Authors:  Jens Georg; Wolfgang R Hess
Journal:  Microbiol Mol Biol Rev       Date:  2011-06       Impact factor: 11.056

Review 6.  How does RNA fold dynamically?

Authors:  David Z Bushhouse; Edric K Choi; Laura M Hertz; Julius B Lucks
Journal:  J Mol Biol       Date:  2022-06-01       Impact factor: 6.151

7.  Three essential ribonucleases-RNase Y, J1, and III-control the abundance of a majority of Bacillus subtilis mRNAs.

Authors:  Sylvain Durand; Laetitia Gilet; Philippe Bessières; Pierre Nicolas; Ciarán Condon
Journal:  PLoS Genet       Date:  2012-03-08       Impact factor: 5.917

8.  Topological constraints in nucleic acid hybridization kinetics.

Authors:  Justin S Bois; Suvir Venkataraman; Harry M T Choi; Andrew J Spakowitz; Zhen-Gang Wang; Niles A Pierce
Journal:  Nucleic Acids Res       Date:  2005-07-25       Impact factor: 16.971

9.  Using in-cell SHAPE-Seq and simulations to probe structure-function design principles of RNA transcriptional regulators.

Authors:  Melissa K Takahashi; Kyle E Watters; Paul M Gasper; Timothy R Abbott; Paul D Carlson; Alan A Chen; Julius B Lucks
Journal:  RNA       Date:  2016-04-21       Impact factor: 4.942

10.  Structure folding of RNA kissing complexes in salt solutions: predicting 3D structure, stability, and folding pathway.

Authors:  Lei Jin; Ya-Lan Tan; Yao Wu; Xunxun Wang; Ya-Zhou Shi; Zhi-Jie Tan
Journal:  RNA       Date:  2019-08-07       Impact factor: 4.942

  10 in total

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