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I’ve got algorithm: predicting tumor and autoimmune peptide targets for CD8+ T cells
Devin Dersh, Jonathan W. Yewdell
Devin Dersh, Jonathan W. Yewdell
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Commentary

I’ve got algorithm: predicting tumor and autoimmune peptide targets for CD8+ T cells

Abstract

CD8+ T cells play a central role in eradicating intracellular pathogens, but also are important for noninfectious diseases, including cancer and autoimmunity. The ability to clinically manipulate CD8+ T cells to target cancer and autoimmune disease is limited by our ignorance of relevant self-peptide target antigens. In this issue of the JCI, Pearson et al. describe 25,270 MHC class I–associated peptides presented by a wide range of HLA A and B allomorphs expressed by 18 different B cell lines. Via extensive bioinformatic analysis, the authors make surprising conclusions regarding the selective nature of peptide generation at the level of individual gene products and create a predictive algorithm for disease-relevant self-peptides that will be of immediate use for clinical and basic immunological research.

Authors

Devin Dersh, Jonathan W. Yewdell

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