Publications
2020
Georg J, Lalaouna D, Hou S, Lott S C, Caldelari I, Marzi S, Hess W R, Romby P
The power of cooperation: Experimental and computational approaches in the functional characterization of bacterial sRNAs Article de journal
Dans: Mol Microbiol, vol. 113, no. 3, p. 603-612, 2020, ISBN: 31705780.
Résumé | Liens | BibTeX | Étiquettes: ROMBY, Staphylococcus aureus CopraRNA MAPS post-transcriptional regulation sRNAs, Unité ARN
@article{,
title = {The power of cooperation: Experimental and computational approaches in the functional characterization of bacterial sRNAs},
author = {J Georg and D Lalaouna and S Hou and S C Lott and I Caldelari and S Marzi and W R Hess and P Romby},
url = {https://www.ncbi.nlm.nih.gov/pubmed/31705780},
doi = {10.1111/mmi.14420},
isbn = {31705780},
year = {2020},
date = {2020-01-01},
journal = {Mol Microbiol},
volume = {113},
number = {3},
pages = {603-612},
abstract = {Trans-acting small regulatory RNAs (sRNAs) are key players in the regulation of gene expression in bacteria. There are hundreds of different sRNAs in a typical bacterium, which in contrast to eukaryotic miRNAs are more heterogeneous in length, sequence composition, and secondary structure. The vast majority of sRNAs function post-transcriptionally by binding to other RNAs (mRNAs, sRNAs) through rather short regions of imperfect sequence complementarity. Besides, every single sRNA may interact with dozens of different target RNAs and impact gene expression either negatively or positively. These facts contributed to the view that the entirety of the regulatory targets of a given sRNA, its targetome, is challenging to identify. However, recent developments show that a more comprehensive sRNA's targetome can be achieved through the combination of experimental and computational approaches. Here, we give a short introduction into these methods followed by a description of two sRNAs, RyhB and RsaA, to illustrate the particular strengths and weaknesses of these approaches in more detail. RyhB is an sRNA involved in iron homeostasis in Enterobacteriaceae, while RsaA is a modulator of virulence in Staphylococcus aureus. Using such a combined strategy, a better appreciation of the sRNA-dependent regulatory networks is now attainable.},
keywords = {ROMBY, Staphylococcus aureus CopraRNA MAPS post-transcriptional regulation sRNAs, Unité ARN},
pubstate = {published},
tppubtype = {article}
}
Trans-acting small regulatory RNAs (sRNAs) are key players in the regulation of gene expression in bacteria. There are hundreds of different sRNAs in a typical bacterium, which in contrast to eukaryotic miRNAs are more heterogeneous in length, sequence composition, and secondary structure. The vast majority of sRNAs function post-transcriptionally by binding to other RNAs (mRNAs, sRNAs) through rather short regions of imperfect sequence complementarity. Besides, every single sRNA may interact with dozens of different target RNAs and impact gene expression either negatively or positively. These facts contributed to the view that the entirety of the regulatory targets of a given sRNA, its targetome, is challenging to identify. However, recent developments show that a more comprehensive sRNA's targetome can be achieved through the combination of experimental and computational approaches. Here, we give a short introduction into these methods followed by a description of two sRNAs, RyhB and RsaA, to illustrate the particular strengths and weaknesses of these approaches in more detail. RyhB is an sRNA involved in iron homeostasis in Enterobacteriaceae, while RsaA is a modulator of virulence in Staphylococcus aureus. Using such a combined strategy, a better appreciation of the sRNA-dependent regulatory networks is now attainable.