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Published on: August 22, 2019
Serum Antibody Repertoire Profiling Using In Silico Antigen Screen
Xinyue Liu1, Qiang Hu, Song Liu
1Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, United States of America.
Plos One
|July 5, 2013
Summary
This study introduces a novel method using high-throughput sequencing to analyze serum antibody profiles, identifying specific disease-related antigens. This approach aids in discovering biomarkers for diagnosing and monitoring autoimmune diseases and malignancies.
Area of Science:
- Immunology
- Biotechnology
- Bioinformatics
Background:
- Serum antibodies provide insights into an organism's health.
- High-throughput sequencing of phage display libraries can profile antibody reactivity.
Purpose of the Study:
- To demonstrate that serum antibody repertoire profiles can identify targets of immune responses against sequential epitopes.
- To develop and validate an algorithm for distinguishing real antigens from random proteins in antibody selection experiments.
Main Methods:
- Utilized high-throughput sequencing of peptide-coding DNA from combinatorial random peptide phage display libraries.
- Developed a computational algorithm to filter BLAST search results for selected peptides against protein databases.
- Applied the method to serum from immunized mice and a metastatic melanoma patient, validating findings with Western blot analysis.
Main Results:
- Successfully identified the immunizing human protein from mouse serum antibodies using the developed algorithm.
- Confirmed the method's ability to identify autoantigens by recognizing a candidate protein from a melanoma patient's serum.
- Demonstrated that the unbiased repertoire analysis provides quantitative epitope composition information.
Conclusions:
- The developed method accurately identifies antigens recognized by serum antibodies, including autoantigens.
- This approach offers a powerful tool for deciphering serum antibody repertoire profiles.
- Potential applications include the discovery of autoantibodies for diagnosing and monitoring diseases like cancer and autoimmune disorders.
