Literature DB >> 21993638

Detection of Neisseria meningitidis in cerebrospinal fluid using a multiplex PCR and the Luminex detection technology.

Jens Kjølseth Møller1.   

Abstract

Rapid clinical and laboratory diagnoses are the foundation for a successful management of serious infections with Neisseria meningitidis. A species-specific multiplex polymerase chain reaction (PCR) coupled with fluidic microarrays using microbeads (the Luminex xMAP™ Technology) can detect pathogens most frequently found in the cerebrospinal fluid of patients. The Luminex suspension array system uniquely combines flow cytometry, microspheres, laser technology, digital signal processing, and traditional chemistry. In this method, the reaction is carried out in one vessel, in which distinctly color-coded bead sets, each conjugated with a different specific nucleic acid reactant, are hybridized with the PCR products, and a reporter molecule is used to quantify the interaction. The flow-based Luminex array reader identifies each reaction (bead set) after excitation by a red classification laser. Reporter signals from each reaction are simultaneously quantified by fluorescence generated by a green reporter laser. This nonculture, multiplex assay may prove to be an important tool for optimal laboratory diagnosis, not only of meningococcal meningitis, but also of meningitis caused by other bacterial or viral pathogens.

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Year:  2012        PMID: 21993638     DOI: 10.1007/978-1-61779-346-2_3

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  Development of a suspension array assay in multiplex for the simultaneous measurement of serum levels of four eosinophil granule proteins.

Authors:  Michelle A Makiya; Jesica A Herrick; Paneez Khoury; Calman P Prussin; Thomas B Nutman; Amy D Klion
Journal:  J Immunol Methods       Date:  2014-06-08       Impact factor: 2.303

2.  Simultaneous Detection of Five Pathogens from Cerebrospinal Fluid Specimens Using Luminex Technology.

Authors:  Linfu Zhou; Rui Wu; Xiaodan Shi; Dongyun Feng; Guodong Feng; Yining Yang; Wen Dai; Ting Bian; Tingting Liu; Ying He; Ming Shi; Gang Zhao
Journal:  Int J Environ Res Public Health       Date:  2016-02-04       Impact factor: 3.390

  2 in total

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