
Episode 67: Deep peptide recognition profiling decodes TCR specificity and enables disease-associated antigen discovery
From Science TLDR by Raymond Ruff
May 18, 2026 · 21 min · Episode 67
About this episode
The episode discusses a study on T cell receptor specificity and its implications for autoimmune disease identification.
**Monday Immune Engager** — our weekly pick from the latest immune-engager digest. **Paper:** [Deep peptide recognition profiling decodes TCR specificity and enables disease-associated antigen discovery](https://doi.org/10.1038/s41587-026-03128-x) **Authors:** Nan Wang, Hugh Yeh, Ben Lai, Jason Perera, Kevin M. Jude, et al. **Journal:** Nature Biotechnology, 2026 **Why it matters:** Mapping how T cell receptors actually recognize peptides — rather than inferring it from sequence alone — opens a scalable path to identifying the self-antigens driving autoimmune diseases like ankylosing spondylitis. **Summary** Predicting what a T cell receptor (TCR) will recognize based on its amino acid sequence is notoriously unreliable: nearly identical TCRs can bind completely different antigens, while structurally dissimilar TCRs can converge on the same target. To attack this problem directly, the authors focused on a clinically defined set of HLA-B\*27:05-restricted TCRs from patients with ankylosing spondylitis (a disease causing spinal fusion) and acute anterior uveitis (severe inflammatory eye disease). They used high-throughput yeast display — engineering yeast to present roughly one…
People in this episode
Host: Raymond Ruff
Topics covered
- T cell receptors
- peptide recognition
- autoimmune diseases
- high-throughput screening
- disease-associated antigens
Keywords
- TCR specificity
- peptide recognition profiling
- autoimmune diseases
- ankylosing spondylitis
- high-throughput yeast display
Mentioned in this episode
Organizations: Nature Biotechnology, HLA-B*27:05
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