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Articles by Patrick Sorn
Prediction of tumor-specific splicing from somatic mutations as a source of neoantigen candidates
Abstract Splicing is dysregulated in many tumors and may result in tumor-specific transcripts that can encode neoantigens, which are promising targets for cancer immunotherapy. Detecting tumor-specific splicing is challenging because many non-canonical splice junctions identified in tumor transcriptomes also appear in healthy tissues.
Prediction of tumor-specific splicing from somatic mutations as a source of neoantigen candidates
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CoVigator-A Knowledge Base for Navigating SARS-CoV-2 Genomic Variants
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Multiple instance learning to predict immune checkpoint blockade efficacy using neoantigen candidates
New Results doi: https://doi.org/10.1101/2022.05.06.490587 Abstract A successful response to immune checkpoint blockade treatment (ICB) depends on the functional re-invigoration of neoantigen-specific T cells and their anti-tumoral activity. Previous studies showed that the patient's neoantigen candidate load is an imperfect predictor of the response to ICB.
In silico analysis of predicted differential MHC binding and CD8+ T-cell immune escape of SARS-CoV-2 B.1.1.529 variant mutant epitopes
New Results Pablo Riesgo-Ferreiro, Gudimella Ranganath, Thomas Bukur, Patrick Sorn, Thomas Rosler, Barbara Schrors, Martin Lower doi: https://doi.org/10.1101/2022.01.31.478157 Abstract Introduction: The B.1.1.529 (Omicron) SARS-CoV-2 variant has raised global concerns due to its high number of mutations and its rapid spread. It is of major importance to understand the impact of this variant on the acquired and induced immunity.
HLA and proteasome expression body map
One of the key structural elements of the mammalian adaptive immune system is the Major Histocompatibility Complex (MHC).
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