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Title:
Mass spectrometric analysis of the HLA class I peptidome of melanoma cell lines as a promising tool for the identification of putative tumor-associated HLA epitopes | Cancer Immunology, Immunotherapy
Description:
Melanoma is one of the most immunogenic tumors, and extensive lists of potential tumor rejection antigens have been collected during the last decades. By isolating human leukocyte antigen (HLA) class I complexes from five melanoma cell lines (FM-82, FM-93/2, Mel-624, MeWo and SK-Mel-5) and sequencing HLA-eluted peptides by mass spectrometry, we identified over 10,000 unique peptides with high confidence. The majority of the peptides were 8β11 amino acids in length and were predicted to bind to the respective HLA alleles. Over 250 epitopes, corresponding to previously described tumor-associated antigens, were identified, suggesting that HLA peptidome analysis may facilitate the characterization of putative tumor rejection antigens. MeWo and SK-Mel-5 cell lines were further interrogated for neo-epitopes, revealing one peptide from MeWo cells carrying an amino acid mutation. We also observed a remarkable overlap between A*03:01 peptides eluted from Mel-624 cells and A*03:01 peptides recovered from soluble HLA complexes purified from two melanoma patients, shedding light on the similarity of the HLA peptidome in cell lines and in patient-derived material. The reliable characterization of the HLA class I peptidome in melanoma promises to facilitate the identification of tumor rejection antigens and the development of immunotherapeutic strategies.
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month download article/chapter anti-ctla-4 therapy broadens proteome-wide protein quantification adoptively transferred tumor-reactive cells targeting ny-eso-1 high-sensitivity hla class melanoma-specific human cytotoxic t-cell antigen specificity article cancer immunology immunogenic t-cell epitopes full article pdf sequencing hla-eluted peptides european research council peptide mhc class web server issue sk-mel-5 cell lines privacy choices/manage cookies antigen-specific cd8+ peptide-binding specificities mass spectrometric analysis adoptive cellular therapy tumor rejection antigens article gloger borresen-dale al database issue related subjects immune checkpoint therapy peptidome analysis enables european economic area mhc-based detection mhc motif viewer human gastrointestinal cancers tumor antigens recognized melanoma tumor cells range mass accuracies analytics accurately identify melanoma-reactive cd8+ grant agreement nos amino acid mutation amino acid enrichment melanoma cell lines hadrup sr adoptive cell transfer respective hla alleles cancer genome landscapes il-2-based treatment de ru ah del prete gq hiv-infected cells de vries ij
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headline:Mass spectrometric analysis of the HLA class I peptidome of melanoma cell lines as a promising tool for the identification of putative tumor-associated HLA epitopes
description:Melanoma is one of the most immunogenic tumors, and extensive lists of potential tumor rejection antigens have been collected during the last decades. By isolating human leukocyte antigen (HLA) class I complexes from five melanoma cell lines (FM-82, FM-93/2, Mel-624, MeWo and SK-Mel-5) and sequencing HLA-eluted peptides by mass spectrometry, we identified over 10,000 unique peptides with high confidence. The majority of the peptides were 8β11 amino acids in length and were predicted to bind to the respective HLA alleles. Over 250 epitopes, corresponding to previously described tumor-associated antigens, were identified, suggesting that HLA peptidome analysis may facilitate the characterization of putative tumor rejection antigens. MeWo and SK-Mel-5 cell lines were further interrogated for neo-epitopes, revealing one peptide from MeWo cells carrying an amino acid mutation. We also observed a remarkable overlap between A*03:01 peptides eluted from Mel-624 cells and A*03:01 peptides recovered from soluble HLA complexes purified from two melanoma patients, shedding light on the similarity of the HLA peptidome in cell lines and in patient-derived material. The reliable characterization of the HLA class I peptidome in melanoma promises to facilitate the identification of tumor rejection antigens and the development of immunotherapeutic strategies.
datePublished:2016-09-06T00:00:00Z
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HLA
Melanoma
Immunopeptidome
Tumor-associated antigen
Mass spectrometry
Immunocapture
Oncology
Immunology
Cancer Research
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headline:Mass spectrometric analysis of the HLA class I peptidome of melanoma cell lines as a promising tool for the identification of putative tumor-associated HLA epitopes
description:Melanoma is one of the most immunogenic tumors, and extensive lists of potential tumor rejection antigens have been collected during the last decades. By isolating human leukocyte antigen (HLA) class I complexes from five melanoma cell lines (FM-82, FM-93/2, Mel-624, MeWo and SK-Mel-5) and sequencing HLA-eluted peptides by mass spectrometry, we identified over 10,000 unique peptides with high confidence. The majority of the peptides were 8β11 amino acids in length and were predicted to bind to the respective HLA alleles. Over 250 epitopes, corresponding to previously described tumor-associated antigens, were identified, suggesting that HLA peptidome analysis may facilitate the characterization of putative tumor rejection antigens. MeWo and SK-Mel-5 cell lines were further interrogated for neo-epitopes, revealing one peptide from MeWo cells carrying an amino acid mutation. We also observed a remarkable overlap between A*03:01 peptides eluted from Mel-624 cells and A*03:01 peptides recovered from soluble HLA complexes purified from two melanoma patients, shedding light on the similarity of the HLA peptidome in cell lines and in patient-derived material. The reliable characterization of the HLA class I peptidome in melanoma promises to facilitate the identification of tumor rejection antigens and the development of immunotherapeutic strategies.
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dateModified:2016-09-06T00:00:00Z
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HLA
Melanoma
Immunopeptidome
Tumor-associated antigen
Mass spectrometry
Immunocapture
Oncology
Immunology
Cancer Research
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