OpenSSL SSL_connect: Connection reset by peer in connection to v2.sherpa.ac.uk:443 PuSH - Publikationsserver des Helmholtz Zentrums 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).

PuSH - Publikationsserver des Helmholtz Zentrums München

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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Bacterial Signaling ; Elisa ; N-acyl-homoserine Lactone ; Quorum Sensing ; Uhplc-ms
ISSN (print) / ISBN 1064-3745
e-ISSN 1940-6029
Bandtitel Quorum Sensing
Zeitschrift Methods in Molecular Biology
Quellenangaben Band: 1673, Heft: , Seiten: 61-72 Artikelnummer: , Supplement: ,
Verlag Springer
Verlagsort Berlin [u.a.]
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Network Biology (INET)
Research Unit BioGeoChemistry and Analytics (BGC)