Autoantigen discovery with a synthetic human peptidome

Area of Science:

• Immunology
• Proteomics
• Genomics

Background:

• Autoimmune diseases arise from immune responses targeting self-proteins (autoantigens).
• Identifying autoantigens is vital for autoimmune disease diagnosis and therapy.
• Current autoantigen characterization methods have limitations.

Purpose of the Study:

• To present a comprehensive synthetic human proteome library (T7-Pep) for autoantigen discovery.
• To demonstrate the application of T7-Pep in identifying autoantibodies in neurological syndromes.
• To showcase the broader utility of T7-Pep for peptide-protein interaction studies.

Main Methods:

• Creation of the T7 peptidome phage display library (T7-Pep) with over 413,000 overlapping peptides covering the human proteome.
• Development of phage immunoprecipitation sequencing (PhIP-Seq) methodology.
• Analysis of spinal fluid from individuals with paraneoplastic neurological syndromes.

Main Results:

• Successful identification of known and novel autoantibodies using T7-Pep and PhIP-Seq.
• Demonstration of T7-Pep's capability in autoantigen discovery for paraneoplastic neurological syndromes.
• Validation of T7-Pep for general peptide-protein interaction analysis.

Conclusions:

• The T7-Pep library and PhIP-Seq methodology offer a powerful tool for autoantigen discovery.
• This approach advances the understanding and potential treatment of autoimmune diseases.
• The T7-Pep platform has broad applications in proteomic research beyond autoantigen identification.