Parker Institute for Cancer Immunotherapy shared a post on LinkedIn:
“New research published in Nature Biotechnology from PICI researcher K. Christopher Garcia from Stanford University and collaborators introduces a new way to better understand how T cells recognize disease.
Using a combination of high-throughput screening and AI-based modeling, the team mapped how individual T cell receptors respond to millions of peptides. Their approach helped identify potential disease-linked autoantigens connected to ankylosing spondylitis and acute anterior uveitis and could help accelerate future discoveries in immunotherapy and precision medicine.
Read the study.”
Title: Deep peptide recognition profiling decodes TCR specificity and enables disease-associated antigen discovery
Authors: Nan Wang, Hugh Yeh, Ben Lai, Jason Perera, Kevin M. Jude, Isabel Risch, Joy Um, Xiaojing Chen, Xinyu Xiang, Chunyu Wang, Liu Daisy Liu, Xinbo Yang, Michael A. Paley, Aly A. Khan, K. Christopher Garcia
Read The Full Article
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