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Resolution of plasma sample mix-ups through comparison of patient antibody patterns to E. coli.
Vetter, Beatrice N; Orlowski, Vanessa; Schüpbach, Jörg; Böni, Jürg; Rühe, Bettina; Huder, Jon B.
Afiliação
  • Vetter BN; Swiss National Center for Retroviruses, Institute of Medical Virology, University of Zurich, Switzerland. Electronic address: vetter.beatrice@virology.uzh.ch.
  • Orlowski V; Swiss National Center for Retroviruses, Institute of Medical Virology, University of Zurich, Switzerland. Electronic address: vanessa.orlowski@uzh.ch.
  • Schüpbach J; Swiss National Center for Retroviruses, Institute of Medical Virology, University of Zurich, Switzerland. Electronic address: schupbach.jorg@virology.uzh.ch.
  • Böni J; Swiss National Center for Retroviruses, Institute of Medical Virology, University of Zurich, Switzerland. Electronic address: boeni.juerg@virology.uzh.ch.
  • Rühe B; Swiss National Center for Retroviruses, Institute of Medical Virology, University of Zurich, Switzerland. Electronic address: ruehe.bettina@virology.uzh.ch.
  • Huder JB; Swiss National Center for Retroviruses, Institute of Medical Virology, University of Zurich, Switzerland. Electronic address: huder.jon@virology.uzh.ch.
J Immunol Methods ; 427: 130-3, 2015 Dec.
Article em En | MEDLINE | ID: mdl-26597667
ABSTRACT

BACKGROUND:

Accidental sample mix-ups and the need for their swift resolution is a challenge faced by every analytical laboratory. To this end, we developed a simple immunoblot-based method, making use of a patient's characteristic plasma antibody profile to Escherichia coli (E. coli) proteins.

METHODS:

Nitrocellulose strips of size-separated proteins from E. coli whole-cell lysates were incubated with patient plasma and visualised with an enzyme-coupled secondary antibody and substrate. Plasma samples of 20 random patients as well as five longitudinal samples of three patients were analysed for antibody band patterns, to evaluate uniqueness and consistency over time, respectively. For sample mix-ups, antibody band patterns of questionable samples were compared with samples of known identity.

RESULTS:

Comparison of anti-E. coli antibody patterns of 20 random patients showed a unique antibody profile for each patient. Antibody profiles remained consistent over time, as shown for three patients over several years. Three example cases demonstrate the use of this methodology in mis-labelling or -pipetting incidences.

CONCLUSION:

Our simple method for resolving plasma sample mix-ups between non-related individuals can be performed with basic laboratory equipment and thus can easily be adopted by analytical laboratories.
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 3_ND Base de dados: MEDLINE Assunto principal: Erros Médicos / Anticorpos Antibacterianos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Immunol Methods Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 3_ND Base de dados: MEDLINE Assunto principal: Erros Médicos / Anticorpos Antibacterianos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Immunol Methods Ano de publicação: 2015 Tipo de documento: Article