Literature DB >> 27640078

The application of protein microarray assays in psychoneuroimmunology.

K Ayling1, T Bowden1, P Tighe2, I Todd2, E M Dilnot2, O H Negm2, L Fairclough3, K Vedhara1.   

Abstract

Protein microarrays are miniaturized multiplex assays that exhibit many advantages over the commonly used enzyme-linked immunosorbent assay (ELISA). This article aims to introduce protein microarrays to readers of Brain, Behavior, and Immunity and demonstrate its utility and validity for use in psychoneuroimmunological research. As part of an ongoing investigation of psychological and behavioral influences on influenza vaccination responses, we optimized a novel protein microarray to quantify influenza-specific antibody levels in human sera. Reproducibility was assessed by calculating intra- and inter-assay coefficients of variance on serially diluted human IgG concentrations. A random selection of samples was analyzed by microarray and ELISA to establish validity of the assay. For IgG concentrations, intra-assay and inter-assay precision profiles demonstrated a mean coefficient of variance of 6.7% and 11.5% respectively. Significant correlations were observed between microarray and ELISA for all antigens, demonstrating the microarray is a valid alternative to ELISA. Protein microarrays are a highly robust, novel assay method that could be of significant benefit for researchers working in psychoneuroimmunology. They offer high throughput, fewer resources per analyte and can examine concurrent neuro-immune-endocrine mechanisms.
Copyright © 2016. Published by Elsevier Inc.

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Keywords:  Assay; ELISA; Microarray; Multiplex; Psychoneuroimmunology; Sera

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Year:  2016        PMID: 27640078     DOI: 10.1016/j.bbi.2016.09.013

Source DB:  PubMed          Journal:  Brain Behav Immun        ISSN: 0889-1591            Impact factor:   7.217


  1 in total

1.  A compact microfluidic chip with integrated impedance biosensor for protein preconcentration and detection.

Authors:  Tuan Vu Quoc; Meng-Syuan Wu; Tung Thanh Bui; Trinh Chu Duc; Chun-Ping Jen
Journal:  Biomicrofluidics       Date:  2017-10-23       Impact factor: 2.800

  1 in total

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