OpenSSL SSL_connect: Connection reset by peer in connection to v2.sherpa.ac.uk:443 PuSH - Publication Server of Helmholtz Zentrum München: Detection of the bacterial quorum-sensing signaling molecules N-Acyl-Homoserine Lactones (HSL) and N-Acyl-Homoserine (HS) with an Enzyme-Linked Immunosorbent Assay (ELISA) and via Ultrahigh-Performance Liquid Chromatography Coupled to Mass Spectrometry (UHPLC-MS).

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Rothballer, M. ; Uhl, J. ; Kunze, J. ; Schmitt-Kopplin, P. ; Hartmann, A.

Detection of the bacterial quorum-sensing signaling molecules N-Acyl-Homoserine Lactones (HSL) and N-Acyl-Homoserine (HS) with an Enzyme-Linked Immunosorbent Assay (ELISA) and via Ultrahigh-Performance Liquid Chromatography Coupled to Mass Spectrometry (UHPLC-MS).

Methods Mol. Biol. 1673, 61-72 (2018)
Postprint DOI PMC
Open Access Green
Quick and reliable quantitative methods requiring low amounts of sample volume are needed for the detection of N-acyl-homoserine lactones (HSL) and their degradation products N-acyl-homoserines (HS) in order to elucidate the occurrence and dynamics of these prevalent quorum-sensing molecules of Gram-negative bacteria in natural samples and laboratory model experiments. A combination of ELISA and UHPLC-MS is presented here which has proven to meet these requirements. Both methods can not only precisely detect and quantify HSLs but also their degradation products HS and thereby enable studying signaling dynamics in quorum sensing, which have been identified to play an essential role in bacterial communication.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Bacterial Signaling ; Elisa ; N-acyl-homoserine Lactone ; Quorum Sensing ; Uhplc-ms
ISSN (print) / ISBN 1064-3745
e-ISSN 1940-6029
Book Volume Title Quorum Sensing
Journal Methods in Molecular Biology
Quellenangaben Volume: 1673, Issue: , Pages: 61-72 Article Number: , Supplement: ,
Publisher Springer
Publishing Place Berlin [u.a.]
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Network Biology (INET)
Research Unit BioGeoChemistry and Analytics (BGC)