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Protein array processing software for automated semiquantitative analysis of serum antibody repertoires
Ajeet Singh Yadav1, Chin Hong Ooi1, Hongjie An1
1Queensland Micro-Nanotechnology Centre, Griffith University, Nathan, QLD 4111, Australia.
Biomicrofluidics
|September 18, 2023
Summary
This study introduces novel open-source software for analyzing protein macroarrays, crucial for monitoring immunotherapy effectiveness. The tool enables accurate immune response tracking, aiding in disease diagnosis and treatment prediction.
Area of Science:
- Immunology
- Biotechnology
- Computational Biology
Background:
- Immunotherapies activate antitumor immune responses, necessitating effective monitoring of treatment efficacy.
- Protein arrays are valuable for characterizing antibody repertoires in immunotherapy but lack adequate analysis software.
- Current limitations hinder the widespread adoption of protein arrays in immunotherapy research.
Purpose of the Study:
- To develop and validate an automated, open-source software package for semiquantitative analysis of protein macroarrays.
- To address the challenge of intra-array inconsistencies and enable accurate comparative studies.
- To facilitate the characterization of immune profiles for diagnostic and predictive applications in disease.
Main Methods:
- Development of an automated, semiquantitative, open-source software for protein macroarray image analysis.
- Implementation of adaptive positioning, background identification/subtraction, and null signal removal.
- Inclusion of robust statistical analysis and protein pair validation for accurate data normalization.
Main Results:
- The software provides accurate single-array and inter-array comparative analysis.
- Normalized values enable convenient semiquantitative data analysis across different samples and timepoints.
- The automated process effectively tackles experimental disparities and inconsistencies.
Conclusions:
- The developed software overcomes a significant hurdle in protein array analysis for immunotherapy research.
- It enables accurate characterization of immune profiles and their changes in response to treatment.
- This tool has the potential to serve as a diagnostic or predictive tool for disease management.
