Protein Arrays for Serodiagnosis of Disease View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2004-04-05

AUTHORS

Eric Fung , Tito Bacarese-Hamilton , Andrea Ardizzoni , Julian Gray , Andrea Crisanti

ABSTRACT

Protein microarrays offer the possibility to circumvent most of the current limitations in the serodiagnosis of allergy, autoimmune, and infectious disease by allowing the simultaneous, multiparametric determination of specific subclasses of antibodies directed against many pathogenic antigens. Microarray immunoassays have been developed with these characteristics. A first-generation assay, for the serodiagnosis of infectious disease, allows the determination of IgG and IgM antibodies to various viral and bacterial antigens. In addition, a second-generation assay, designed for the serodiagnosis of allergic disease, permits the determination of IgE antibodies to various allergens implicated in allergic disease. Slides printed with antibody dilution curves and antigen are first incubated with serum samples and then subsequently with secondary antibodies. For detection of human IgG and IgM, fluorescently labeled secondary antibodies are employed. However, because of low-level concentrations of circulating IgE antibodies, a more sensitive protocol is required for human IgE detection. Here, fluorescence is delivered via the coupling of the secondary antibody to tyramide signal-amplification reagentry. Human IgG, IgM, or IgE bound to the printed antigens can then be revealed by confocal scanning microscopy and quantified with internal calibration curves. Generation of analytical and clinical data have demonstrated that the microarray test format provides equivalent performance to enzyme-linked immunosorbent assay (ELISA) tests and offers a significant advantage in convenience and cost when compared to traditional test formats. More... »

PAGES

271-284

Identifiers

URI

http://scigraph.springernature.com/pub.10.1385/1-59259-759-9:271

DOI

http://dx.doi.org/10.1385/1-59259-759-9:271

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1043963996

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/15020797


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