Literature DB >> 11429430

Introduction of an automated service for the laboratory confirmation of meningococcal disease in Scotland.

S C Clarke1, M A Diggle, J A Reid, L Thom, G F Edwards.   

Abstract

The Scottish Meningococcus and Pneumococcus Reference Laboratory provides a national service for the laboratory confirmation of meningococcal and pneumococcal disease in Scotland. The main tests used for the laboratory confirmation of meningococcal disease are culture, the polymerase chain reaction (PCR), antibody testing, and more recently DNA sequencing. This paper describes the automation of PCR for the laboratory confirmation of meningococcal disease and the typing of meningococcal isolates using DNA sequencing. Both methods have been automated using a robotic liquid handler and automated DNA sequencer. These methods, along with standard culture phenotyping and antibody testing, provide Scotland with an excellent service for the confirmation of meningococcal disease.

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Year:  2001        PMID: 11429430      PMCID: PMC1731468          DOI: 10.1136/jcp.54.7.556

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  5 in total

1.  Automated PCR/sequence template purification.

Authors:  S C Clarke; M A Diggle
Journal:  Mol Biotechnol       Date:  2002-07       Impact factor: 2.695

2.  Automation of MLST using third-generation liquid-handling technology.

Authors:  C B Sullivan; J M C Jefferies; M A Diggle; S C Clarke
Journal:  Mol Biotechnol       Date:  2006-03       Impact factor: 2.695

3.  Semiautomation of multilocus sequence typing for the characterization of clinical isolates of Neisseria meningitidis.

Authors:  S C Clarke; M A Diggle; G F Edwards
Journal:  J Clin Microbiol       Date:  2001-09       Impact factor: 5.948

4.  Genetic analysis of diverse disease-causing pneumococci indicates high levels of diversity within serotypes and capsule switching.

Authors:  Johanna M C Jefferies; Andrew Smith; Stuart C Clarke; Chris Dowson; Timothy J Mitchell
Journal:  J Clin Microbiol       Date:  2004-12       Impact factor: 5.948

5.  Individual sequences in large sets of gene sequences may be distinguished efficiently by combinations of shared sub-sequences.

Authors:  Mark J Gibbs; John S Armstrong; Adrian J Gibbs
Journal:  BMC Bioinformatics       Date:  2005-04-08       Impact factor: 3.169

  5 in total

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