Carl Borrebaeck
Professor
Design of recombinant antibody microarrays for complex proteome analysis: Choice of sample labeling-tag and solid support
Author
Summary, in English
Antibody-based microarray is a novel technology with great potential within high-throughput proteomics. The process of designing high-performing antibody (protein) microarrays has, however, turned out to be a challenging process. In this study, we have developed further our human recombinant single-chain variable-fragment (scFv) antibody microarray methodology by addressing two crucial technological issues, choice of sample labeling-tag and solid support. We examined the performance of a range of dyes in a one- or two-color approach on a selection of solid supports providing different surface and coupling chemistries, and surface structures. The set-ups were evaluated in terms of sensitivity specificity, and selectivity. The results showed that a one-color approach, based on NHS-biotin (or ULS-biotin) labeling, on black polymer Maxisorb slides (or Nexterion slide H) was the superior approach for targeting low-abundant (pg/mL) analytes in nonfractionated, complex proteomes, such as human serum or crude cell supernatants. Notably, microarrays displaying adequate spot morphologies, high S/Ns, minimized nonspecific binding, and most importantly a high selectivity, specificity, and sensitivity (>= fM range) were obtained. Taken together, we have designed the first generation of a high-performing recombinant scFv antibody microarray technology platform on black polymer Maxisorb slides for sensitive profiling of low-abundant analytes in nonfractionated biotinylated complex proteomes.
Department/s
- Department of Immunotechnology
Publishing year
2007
Language
English
Pages
3055-3065
Publication/Series
Proteomics
Volume
7
Issue
17
Document type
Journal article
Publisher
John Wiley & Sons Inc.
Topic
- Immunology in the medical area
Keywords
- recombinant
- proteome analysis
- antibody microarray
- protein labeling
- solid support
- scFv
Status
Published
ISBN/ISSN/Other
- ISSN: 1615-9861