Development of Peptide Array Signal Detection Methods for Immune Profiling

Development of Peptide Array Signal Detection Methods for Immune Profiling

This project leverages expertise in immunology, cancer cell biology, statistics, bioinformatics, and machine learning to develop effective filtering and prediction models, with the goal of aiding further discoveries using peptide arrays.

Peptide arrays are powerful tools for investigating protein interactions. They allow for screening peptides for potential binding interactions as a very convenient method for basic and applied research to develop novel drugs and diagnostics.

This project has the potential for advancing research in detecting immune dysfunction, monitoring immune responses to treatment, and precise targeting of tumors via personalized tumor vaccines.

 

PRINCIPAL INVESTIGATOR:

Irene Ong, Assistant Professor of Obstetrics and Gynecology and Biostatistics and Medical Informatics

 

CO-INVESTIGATORS:

Michael Newton, Professor of Biostatics and Medical Informatics

Doug McNeel, Professor of Hematology and Oncology

Miriam Shelef, Assistant Professor of Rheumatology

Sean Mcllwain, Assistant Scientist in Biostatics and Medical Informatics

 

COLLABORATORS:

Matt Reynolds, Assistant Professor of Pathobiological Sciences, School of Veterinary Medicine

Paul Sondel, Professor of Pediatrics, Human Oncology and Genetics

Chris Zahm, Assistant Scientist in Hematology and Oncology