from identification to application
Mobarak Mraheil (Author), André Billion (Author), Carsten Kuenne (Author), Jordan Pischimarov (Author), Bernd Kreikemayer (Author), Sussane Engelmann (Author), Thomas Hartsch (Author), Anette Jacob (Author), Franz Cemič (Author), Jürgen Hemberger (Author), Trinad Chakraborty (Author), Torsten Hain (Author), Axel Hartke (Author), Jean-Christophe Giard (Author), Maja Rupnik (Author), Sonja Vorwerk (Author), Markus Beier (Author), Julia Retey (Author)

Abstract

In the recent years, the number of drug- and multi-drug-resistant microbial strains has increased rapidly. Therefore, the need to identify innovative approaches for development of novel anti-infectives and new therapeutic targets is of high priority in global health care. The detection of small RNAs (sRNAs) in bacteria has attracted considerable attention as an emerging class of new gene expression regulators. Several experimental technologies to predict sRNA have been established for the Gram-negative model organism Escherichia coli. In many respects, sRNA screens in this model system have set a blueprint for the global and functional identification of sRNAs for Gram-positive microbes, but the functional role of sRNAs in colonization and pathogenicity for Listeria monocytogenes, Staphylococcus aureus, Streptococcuspyogenes, Enterococcus faecalis and Clostridium difficile is almost completely unknown. Here, we report the current knowledge about the sRNAs of these socioeconomically relevant Gram-positive pathogens, overview the state-of-the-art high-throughput sRNA screening methods and summarize bioinformatics approaches for genome-wide sRNA identification and target prediction. Finally, we discuss the use of modified peptide nucleic acids (PNAs) as a novel tool to inactivate potential sRNA and their applications in rapid and specific detection of pathogenic bacteria.

Keywords

anti-infectiveness;peptide nucleic acids; sRNA;

Data

Language: English
Year of publishing:
Typology: 1.02 - Review Article
Organization: UM MF - Faculty of Medicine
UDC: 579
COBISS: 512101944 Link will open in a new window
ISSN: 1751-7915
Views: 886
Downloads: 136
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Slovenian
Secondary keywords: antiinfektivnost;peptidne nukleinske kisline;sRNA;
URN: URN:SI:UM:
Type (COBISS): Scientific work
Pages: str. 658-676
Volume: ǂVol. ǂ3
Issue: ǂissue ǂ6
Chronology: 2010
DOI: 10.1111/j.1751-7915.2010.00171.x
ID: 10852687
Recommended works:
, no subtitle data available
, "fizika" masnagitutjamb fizikaji magistrosi vorakavorman astichani hajcman hamar