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A Protein Microarray Assay for Serological Determination of Antigen-specific Antibody Responses Following Clostridium difficile Infection
Published on: June 15, 2018
Antibody suspension bead arrays within serum proteomics
Jochen M Schwenk1, Marcus Gry, Rebecca Rimini
1Department of Proteomics, School of Biotechnology, KTH Royal Institute of Technology, Albanova University Center, Stockholm, Sweden. schwenk@kth.se
Journal of Proteome Research
|July 1, 2008
Summary
This study introduces a novel bead-based antibody array for rapid, multiplexed serum protein screening. The method efficiently detects low picomolar protein levels in over 200 clinical samples.
Area of Science:
- Biotechnology
- Proteomics
- Immunology
Background:
- Antibody microarrays are valuable for screening target proteins in complex biological samples.
- Existing methods may require extensive sample purification and lack flexibility for large-scale screening.
Purpose of the Study:
- To develop and validate a novel, bead-based antibody array for systematic serum protein analysis.
- To provide a fast, flexible, and multiplexed method for high-throughput serum sample screening.
Main Methods:
- Utilized color-coded beads to create antibody arrays in suspension, adapted from planar array technology.
- Employed a direct detection assay requiring no purification of excess labeling substances.
- Validated the assay using over 200 clinical serum samples to test for 20 different serum proteins.
Main Results:
- The suspension antibody array demonstrated high sensitivity, detecting proteins at lower picomolar levels.
- Achieved a broad dynamic range exceeding 3 orders of magnitude for protein quantification.
- Successfully screened over 200 clinical serum samples for 20 target proteins, confirming workflow feasibility.
Conclusions:
- The developed bead-based antibody array offers a robust and efficient platform for serum proteomic analysis.
- This method simplifies sample processing and enables high-throughput screening of numerous serum samples.
- The technology shows significant potential for clinical diagnostics and biomarker discovery.

