IP-to-MS: An Unbiased Workflow for Antigen Profiling.

Area of Science:

• Biochemistry
• Immunology
• Proteomics

Background:

• Immunoprecipitation is crucial in biomedical research for identifying antibody targets and associated proteins.
• Conventional methods often involve labor-intensive steps like cross-linking and gel electrophoresis, yielding extensive candidate lists.
• Separating low-abundance targets from abundant immunoglobulins presents a significant challenge.

Purpose of the Study:

• To introduce an unbiased immunoprecipitation-to-mass spectrometry (IP-to-MS) workflow.
• To present a novel protein tag for improved separation of immunoprecipitated proteins.
• To demonstrate the utility of IP-to-MS for identifying novel antigen targets and enabling patient stratification.

Main Methods:

• Development of an immunoprecipitation-to-mass spectrometry (IP-to-MS) method.
• Utilizing a novel protein tag to facilitate the separation of low-abundance immunoprecipitated proteins from immunoglobulins.
• Validation of the IP-to-MS workflow for reproducibility and identification of antigen targets.

Main Results:

• The IP-to-MS method is highly reproducible.
• The workflow successfully identifies novel, patient-specific antigen targets across multiple disease states.
• IP-to-MS demonstrates potential to outperform conventional antibody detection assays like ELISA.
• The method enables advanced patient stratification compared to traditional approaches.

Conclusions:

• The developed IP-to-MS method offers an unbiased and efficient approach for identifying antibody targets.
• This technique enhances the discovery of patient-specific antigens and improves diagnostic capabilities.
• IP-to-MS presents a promising advancement in antibody detection and patient stratification for various diseases.