ProMAT calibrator: A tool for reducing experimental bias in antibody microarrays

Area of Science:

• Biotechnology
• Bioinformatics
• Analytical Chemistry

Background:

• Antibody microarrays are susceptible to systematic bias, potentially masking significant biological findings.
• Accurate quantitative evaluation of biomarker panels is crucial for biological and medical research.

Purpose of the Study:

• To develop a robust calibration system for enzyme-linked immunosorbent assays (ELISA) microarrays to identify and reduce processing-related systematic bias.
• To introduce ProMAT Calibrator, an open-source tool for visualizing, interpreting, and normalizing calibration data.

Main Methods:

• Development of a sandwich ELISA for green fluorescent protein (GFP) integrated onto each microarray chip.
• Spiking GFP antigen into biological samples and standards for inter-chip calibration.
• Utilizing the ProMAT Calibrator software for data analysis and normalization.

Main Results:

• Demonstrated marked reduction in bias from processing factors through data normalization.
• The calibration system effectively identifies sources of bias, aiding in problem elimination.
• ProMAT Calibrator facilitates rapid visualization and interpretation of calibration data.

Conclusions:

• The developed calibration system significantly enhances the accuracy and reliability of ELISA microarray data.
• ProMAT Calibrator is a valuable open-source tool for bias reduction and data normalization in microarray studies.
• This approach improves the quantitative evaluation of biomarker panels by mitigating systematic errors.