I've got algorithm: predicting tumor and autoimmune peptide targets for [CD8.sup.+] T cells
[CD8.sup.+] 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.sup.+] T cells to target cancer and autoimmune disease is limited by our ignorance of releva...
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| Published in | The Journal of clinical investigation Vol. 126; no. 12; pp. 4399 - 4401 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
American Society for Clinical Investigation
01.12.2016
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0021-9738 |
| DOI | 10.1172/JCI91302 |
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| Summary: | [CD8.sup.+] 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.sup.+] 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 l-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. |
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| ISSN: | 0021-9738 |
| DOI: | 10.1172/JCI91302 |