Neoantigen characteristics in the context of the complete predicted MHC class I self-immunopeptidome
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Neoantigen characteristics in the context of the complete predicted MHC class I self-immunopeptidome
Authors
Keywords
-
Journal
OncoImmunology
Volume -, Issue -, Pages 1-11
Publisher
Informa UK Limited
Online
2018-12-22
DOI
10.1080/2162402x.2018.1556080
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics
- (2018) Jianfang Liu et al. CELL
- The Immune Landscape of Cancer
- (2018) Vésteinn Thorsson et al. IMMUNITY
- Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines
- (2018) Kyle Ellrott et al. Cell Systems
- The SysteMHC Atlas project
- (2017) Wenguang Shao et al. NUCLEIC ACIDS RESEARCH
- Patient HLA class I genotype influences cancer response to checkpoint blockade immunotherapy
- (2017) Diego Chowell et al. SCIENCE
- An Analysis of Natural T Cell Responses to Predicted Tumor Neoepitopes
- (2017) Anne-Mette Bjerregaard et al. Frontiers in Immunology
- A large fraction of HLA class I ligands are proteasome-generated spliced peptides
- (2016) Juliane Liepe et al. SCIENCE
- NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets
- (2016) Morten Nielsen et al. Genome Medicine
- Molecular and Genetic Properties of Tumors Associated with Local Immune Cytolytic Activity
- (2015) Michael S. Rooney et al. CELL
- The nature of self for T cells—a systems-level perspective
- (2015) Diana P Granados et al. CURRENT OPINION IN IMMUNOLOGY
- OptiType: precision HLA typing from next-generation sequencing data
- (2014) András Szolek et al. BIOINFORMATICS
- Dataset size and composition impact the reliability of performance benchmarks for peptide-MHC binding predictions
- (2014) Yohan Kim et al. BMC BIOINFORMATICS
- Neo-antigens predicted by tumor genome meta-analysis correlate with increased patient survival
- (2014) S. D. Brown et al. GENOME RESEARCH
- Predicting immunogenic tumour mutations by combining mass spectrometry and exome sequencing
- (2014) Mahesh Yadav et al. NATURE
- Allele frequency net 2015 update: new features for HLA epitopes, KIR and disease and HLA adverse drug reaction associations
- (2014) Faviel F. González-Galarza et al. NUCLEIC ACIDS RESEARCH
- Identification and characterisation of peptide binding motifs of six autoimmune disease-associated human leukocyte antigen-class I molecules includingHLA-B*39:06
- (2014) M. Eichmann et al. TISSUE ANTIGENS
- Surveillance of the Tumor Mutanome by T Cells during Progression from Primary to Recurrent Ovarian Cancer
- (2013) Darin A. Wick et al. CLINICAL CANCER RESEARCH
- Six-locus high resolution HLA haplotype frequencies derived from mixed-resolution DNA typing for the entire US donor registry
- (2013) Loren Gragert et al. HUMAN IMMUNOLOGY
- Tumor Exome Analysis Reveals Neoantigen-Specific T-Cell Reactivity in an Ipilimumab-Responsive Melanoma
- (2013) Nienke van Rooij et al. JOURNAL OF CLINICAL ONCOLOGY
- Mutated PPP1R3B Is Recognized by T Cells Used To Treat a Melanoma Patient Who Experienced a Durable Complete Tumor Regression
- (2013) Y.-C. Lu et al. JOURNAL OF IMMUNOLOGY
- HLA Class I Alleles Are Associated with Peptide-Binding Repertoires of Different Size, Affinity, and Immunogenicity
- (2013) S. Paul et al. JOURNAL OF IMMUNOLOGY
- Mining exomic sequencing data to identify mutated antigens recognized by adoptively transferred tumor-reactive T cells
- (2013) Paul F Robbins et al. NATURE MEDICINE
- Properties of MHC Class I Presented Peptides That Enhance Immunogenicity
- (2013) Jorg J. A. Calis et al. PLoS Computational Biology
- The cancer antigenome
- (2012) Bianca Heemskerk et al. EMBO JOURNAL
- Peptide-MHC class I stability is a better predictor than peptide affinity of CTL immunogenicity
- (2012) Mikkel Harndahl et al. EUROPEAN JOURNAL OF IMMUNOLOGY
- Cancer exome analysis reveals a T-cell-dependent mechanism of cancer immunoediting
- (2012) Hirokazu Matsushita et al. NATURE
- Cancer Immunoediting: Integrating Immunity's Roles in Cancer Suppression and Promotion
- (2011) R. D. Schreiber et al. SCIENCE
- The Sequence Alignment/Map format and SAMtools
- (2009) H. Li et al. BIOINFORMATICS
- The prognostic role of classical and nonclassical MHC class I expression in endometrial cancer
- (2009) Claudia B.M. Bijen et al. INTERNATIONAL JOURNAL OF CANCER
- Amino Acid Similarity Accounts for T Cell Cross-Reactivity and for “Holes” in the T Cell Repertoire
- (2008) Sune Frankild et al. PLoS One
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started