{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T14:37:20Z","timestamp":1790779040751,"version":"4.1.0"},"reference-count":55,"publisher":"Elsevier BV","issue":"6","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,4,28]],"date-time":"2023-04-28T00:00:00Z","timestamp":1682640000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001711","name":"Swiss National Science Foundation","doi-asserted-by":"publisher","award":["CRSII5_186405"],"award-info":[{"award-number":["CRSII5_186405"]}],"id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["P01CA206978"],"award-info":[{"award-number":["P01CA206978"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["U01CA271402"],"award-info":[{"award-number":["U01CA271402"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["U24CA270823"],"award-info":[{"award-number":["U24CA270823"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100013114","name":"Broad Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100013114","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100005984","name":"Doctor Miriam and Sheldon G Adelson Medical Research Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100005984","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["mcponline.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Molecular & Cellular Proteomics"],"published-print":{"date-parts":[[2023,6]]},"DOI":"10.1016\/j.mcpro.2023.100563","type":"journal-article","created":{"date-parts":[[2023,5,2]],"date-time":"2023-05-02T21:11:13Z","timestamp":1683061873000},"page":"100563","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":52,"title":["Sensitive, High-Throughput HLA-I and HLA-II Immunopeptidomics Using Parallel Accumulation-Serial Fragmentation Mass Spectrometry"],"prefix":"10.1016","volume":"22","author":[{"given":"Kshiti Meera","family":"Phulphagar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6886-8936","authenticated-orcid":false,"given":"Claudia","family":"Ctortecka","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alvaro Sebastian Vaca","family":"Jacome","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0074-5163","authenticated-orcid":false,"given":"Susan","family":"Klaeger","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-0846-4878","authenticated-orcid":false,"given":"Eva K.","family":"Verzani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-0494-0467","authenticated-orcid":false,"given":"Gabrielle M.","family":"Hernandez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5312-1402","authenticated-orcid":false,"given":"Namrata D.","family":"Udeshi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karl R.","family":"Clauser","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jennifer G.","family":"Abelin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Steven A.","family":"Carr","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.mcpro.2023.100563_bib1","doi-asserted-by":"crossref","first-page":"651","DOI":"10.1038\/s41577-020-0306-5","article-title":"A\u00a0guide to cancer immunotherapy: from T cell basic science to clinical practice","volume":"20","author":"Waldman","year":"2020","journal-title":"Nat. Rev. Immunol."},{"key":"10.1016\/j.mcpro.2023.100563_bib2","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1038\/nature22991","article-title":"An immunogenic personal neoantigen vaccine for patients with melanoma","volume":"547","author":"Ott","year":"2017","journal-title":"Nature"},{"key":"10.1016\/j.mcpro.2023.100563_bib3","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1038\/nature23003","article-title":"Personalized RNA mutanome vaccines mobilize poly-specific therapeutic immunity against cancer","volume":"547","author":"Sahin","year":"2017","journal-title":"Nature"},{"key":"10.1016\/j.mcpro.2023.100563_bib4","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1146\/annurev-immunol-042718-041407","article-title":"Emerging cellular therapies for cancer","volume":"37","author":"Guedan","year":"2019","journal-title":"Annu. Rev. Immunol."},{"key":"10.1016\/j.mcpro.2023.100563_bib5","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1038\/s41587-021-01038-8","article-title":"Identification of tumor antigens with immunopeptidomics","volume":"40","author":"Chong","year":"2022","journal-title":"Nat. Biotechnol."},{"key":"10.1016\/j.mcpro.2023.100563_bib6","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1038\/s41587-021-01021-3","article-title":"Unannotated proteins expand the MHC-I-restricted immunopeptidome in cancer","volume":"40","author":"Ouspenskaia","year":"2022","journal-title":"Nat. Biotechnol."},{"key":"10.1016\/j.mcpro.2023.100563_bib7","doi-asserted-by":"crossref","first-page":"1056","DOI":"10.1038\/nbt.4239","article-title":"Intron retention is a source of neoepitopes in cancer","volume":"36","author":"Smart","year":"2018","journal-title":"Nat. Biotechnol."},{"key":"10.1016\/j.mcpro.2023.100563_bib8","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1038\/nri.2017.143","article-title":"HLA variation and disease","volume":"18","author":"Dendrou","year":"2018","journal-title":"Nat. Rev. Immunol."},{"key":"10.1016\/j.mcpro.2023.100563_bib9","doi-asserted-by":"crossref","first-page":"692","DOI":"10.1038\/nature14426","article-title":"Mutant MHC class II epitopes drive therapeutic immune responses to cancer","volume":"520","author":"Kreiter","year":"2015","journal-title":"Nature"},{"key":"10.1016\/j.mcpro.2023.100563_bib10","doi-asserted-by":"crossref","DOI":"10.1016\/j.mcpro.2021.100116","article-title":"MS-based HLA-II Peptidomics combined with multiomics will aid the development of future immunotherapies","volume":"20","author":"Taylor","year":"2021","journal-title":"Mol. Cell. Proteomics"},{"key":"10.1016\/j.mcpro.2023.100563_bib11","doi-asserted-by":"crossref","first-page":"696","DOI":"10.1038\/s41586-019-1671-8","article-title":"MHC-II neoantigens shape tumour immunity and response to immunotherapy","volume":"574","author":"Alspach","year":"2019","journal-title":"Nature"},{"key":"10.1016\/j.mcpro.2023.100563_bib12","doi-asserted-by":"crossref","DOI":"10.1038\/s41587-022-01547-0","article-title":"Identification of patient-specific CD4+ and CD8+ T cell neoantigens through HLA-unbiased genetic screens","author":"Cattaneo","year":"2023","journal-title":"Nat. Biotechnol."},{"key":"10.1016\/j.mcpro.2023.100563_bib13","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1097\/CJI.0b013e31825898c5","article-title":"Tumor-specific CD4+ melanoma tumor-infiltrating lymphocytes","volume":"35","author":"Friedman","year":"2012","journal-title":"J.\u00a0Immunother."},{"key":"10.1016\/j.mcpro.2023.100563_bib14","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1158\/2326-6066.CIR-13-0068","article-title":"Enhancement of tumor-reactive cytotoxic CD4+ T cell responses after ipilimumab treatment in four advanced melanoma patients","volume":"1","author":"Kitano","year":"2013","journal-title":"Cancer Immunol. Res."},{"key":"10.1016\/j.mcpro.2023.100563_bib15","doi-asserted-by":"crossref","first-page":"641","DOI":"10.1126\/science.1251102","article-title":"Cancer immunotherapy based on mutation-specific CD4+ T cells in a patient with epithelial cancer","volume":"344","author":"Tran","year":"2014","journal-title":"Science"},{"key":"10.1016\/j.mcpro.2023.100563_bib16","doi-asserted-by":"crossref","first-page":"766","DOI":"10.1016\/j.immuni.2019.08.012","article-title":"Defining HLA-II Ligand processing and binding rules with mass spectrometry enhances cancer epitope prediction","volume":"51","author":"Abelin","year":"2019","journal-title":"Immunity"},{"key":"10.1016\/j.mcpro.2023.100563_bib17","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1038\/nri3818","article-title":"The ins and outs of MHC class II-mediated antigen processing and presentation","volume":"15","author":"Roche","year":"2015","journal-title":"Nat. Rev. Immunol."},{"key":"10.1016\/j.mcpro.2023.100563_bib18","doi-asserted-by":"crossref","first-page":"2701","DOI":"10.1016\/j.immuni.2021.11.015","article-title":"Cytotoxic CD4+ T cells in cancer: expanding the immune effector toolbox","volume":"54","author":"Oh","year":"2021","journal-title":"Immunity"},{"key":"10.1016\/j.mcpro.2023.100563_bib19","doi-asserted-by":"crossref","first-page":"1261","DOI":"10.1126\/science.1546328","article-title":"Characterization of peptides bound to the class I MHC molecule HLA-A2.1 by mass spectrometry","volume":"255","author":"Hunt","year":"1992","journal-title":"Science"},{"key":"10.1016\/j.mcpro.2023.100563_bib20","article-title":"1,2,3, MHC: a review of mass-spectrometry-based immunopeptidomics methods for relative and absolute quantification of pMHCs","volume":"11","author":"Stopfer","year":"2021","journal-title":"Immunooncol. Technol."},{"key":"10.1016\/j.mcpro.2023.100563_bib21","doi-asserted-by":"crossref","DOI":"10.3389\/fimmu.2022.883989","article-title":"The importance of being presented: target validation by immunopeptidomics for epitope-specific immunotherapies","volume":"13","author":"Becker","year":"2022","journal-title":"Front. Immunol."},{"key":"10.1016\/j.mcpro.2023.100563_bib22","doi-asserted-by":"crossref","DOI":"10.1016\/j.smim.2023.101727","article-title":"The impact of immunopeptidomics: from basic research to clinical implementation","volume":"66","author":"Shapiro","year":"2023","journal-title":"Semin. Immunol."},{"key":"10.1016\/j.mcpro.2023.100563_bib23","article-title":"HLA ligand atlas: a benign reference of HLA-presented peptides to improve T-cell-based cancer immunotherapy","volume":"9","author":"Marcu","year":"2021","journal-title":"J.\u00a0Immunother. Cancer"},{"key":"10.1016\/j.mcpro.2023.100563_bib24","doi-asserted-by":"crossref","DOI":"10.1038\/ncomms13404","article-title":"Direct identification of clinically relevant neoepitopes presented on native human melanoma tissue by mass spectrometry","volume":"7","author":"Bassani-Sternberg","year":"2016","journal-title":"Nat. Commun."},{"key":"10.1016\/j.mcpro.2023.100563_bib25","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1074\/mcp.TIR117.000383","article-title":"High-throughput and sensitive immunopeptidomics platform reveals profound interferon\u03b3-mediated remodeling of the human leukocyte antigen (HLA) ligandome","volume":"17","author":"Chong","year":"2018","journal-title":"Mol. Cell. Proteomics"},{"key":"10.1016\/j.mcpro.2023.100563_bib26","doi-asserted-by":"crossref","DOI":"10.1016\/j.mcpro.2021.100133","article-title":"Optimized liquid and gas phase fractionation increases HLA-peptidome coverage for primary cell and tissue samples","volume":"20","author":"Klaeger","year":"2021","journal-title":"Mol. Cell. Proteomics"},{"key":"10.1016\/j.mcpro.2023.100563_bib27","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41467-021-21352-8","article-title":"Deep learning the collisional cross sections of the peptide universe from a million experimental values","volume":"12","author":"Meier","year":"2021","journal-title":"Nat. Commun."},{"key":"10.1016\/j.mcpro.2023.100563_bib28","doi-asserted-by":"crossref","DOI":"10.3389\/fimmu.2022.932252","article-title":"HLAII peptide presentation of infliximab increases when complexed with TNF","volume":"13","author":"Casasola-LaMacchia","year":"2022","journal-title":"Front. Immunol."},{"key":"10.1016\/j.mcpro.2023.100563_bib29","doi-asserted-by":"crossref","DOI":"10.1016\/j.isci.2022.105643","article-title":"Increased soluble HLA in COVID-19 present a disease-related, diverse immunopeptidome associated with T cell immunity","volume":"25","author":"Nelde","year":"2022","journal-title":"iScience"},{"key":"10.1016\/j.mcpro.2023.100563_bib30","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1038\/s41586-022-04839-2","article-title":"Deciphering the immunopeptidome in\u00a0vivo reveals new tumour antigens","volume":"607","author":"Jaeger","year":"2022","journal-title":"Nature"},{"key":"10.1016\/j.mcpro.2023.100563_bib31","doi-asserted-by":"crossref","first-page":"1851","DOI":"10.1038\/s41467-023-37547-0","article-title":"Workflow enabling deepscale immunopeptidome, proteome, ubiquitylome, phosphoproteome, and acetylome analyses of sample-limited tissues","volume":"14","author":"Abelin","year":"2023","journal-title":"Nat. Commun."},{"key":"10.1016\/j.mcpro.2023.100563_bib32","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1016\/j.immuni.2017.02.007","article-title":"Mass spectrometry profiling of HLA-associated peptidomes in mono-allelic cells enables more accurate epitope prediction","volume":"46","author":"Abelin","year":"2017","journal-title":"Immunity"},{"key":"10.1016\/j.mcpro.2023.100563_bib33","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1038\/s41587-019-0322-9","article-title":"A\u00a0large peptidome dataset improves HLA class I epitope prediction across most of the human population","volume":"38","author":"Sarkizova","year":"2020","journal-title":"Nat. Biotechnol."},{"key":"10.1016\/j.mcpro.2023.100563_bib34","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1038\/nmeth.4256","article-title":"MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry-based proteomics","volume":"14","author":"Kong","year":"2017","journal-title":"Nat. Methods"},{"key":"10.1016\/j.mcpro.2023.100563_bib35","doi-asserted-by":"crossref","first-page":"1575","DOI":"10.1074\/mcp.TIR120.002048","article-title":"Fast quantitative analysis of timsTOF PASEF data with MSFragger and IonQuant","volume":"19","author":"Yu","year":"2020","journal-title":"Mol. Cell. Proteomics"},{"key":"10.1016\/j.mcpro.2023.100563_bib36","doi-asserted-by":"crossref","DOI":"10.1016\/j.mcpro.2021.100077","article-title":"IonQuant enables accurate and sensitive label-free quantification with FDR-controlled match-between-runs","volume":"20","author":"Yu","year":"2021","journal-title":"Mol. Cell. Proteomics"},{"key":"10.1016\/j.mcpro.2023.100563_bib37","doi-asserted-by":"crossref","first-page":"869","DOI":"10.1038\/s41592-020-0912-y","article-title":"Philosopher: a versatile toolkit for shotgun proteomics data analysis","volume":"17","author":"da Veiga Leprevost","year":"2020","journal-title":"Nat. Methods"},{"key":"10.1016\/j.mcpro.2023.100563_bib38","series-title":"ggplot2: Elegant Graphics for Data Analysis","author":"Wickham","year":"2010"},{"key":"10.1016\/j.mcpro.2023.100563_bib39","doi-asserted-by":"crossref","first-page":"2938","DOI":"10.1093\/bioinformatics\/btx364","article-title":"UpSetR: an R package for the visualization of intersecting sets and their properties","volume":"33","author":"Conway","year":"2017","journal-title":"Bioinformatics"},{"key":"10.1016\/j.mcpro.2023.100563_bib40","first-page":"205","article-title":"Analysis of expression of MHC class I molecules and TAP genes in malignant human cell lines","volume":"45","author":"Kaczmarek","year":"2007","journal-title":"Folia Histochem. Cytobiol."},{"key":"10.1016\/j.mcpro.2023.100563_bib41","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1007\/s42485-021-00066-x","article-title":"Digging deeper into the immunopeptidome: characterization of post-translationally modified peptides presented by MHC I","volume":"12","author":"Mangalaparthi","year":"2021","journal-title":"J.\u00a0Proteins Proteom."},{"key":"10.1016\/j.mcpro.2023.100563_bib42","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.ijms.2018.01.006","article-title":"Trapped ion mobility spectrometry: a short review","volume":"425","author":"Ridgeway","year":"2018","journal-title":"Int. J. Mass Spectrom."},{"key":"10.1016\/j.mcpro.2023.100563_bib43","doi-asserted-by":"crossref","DOI":"10.1007\/s12127-011-0067-8","article-title":"Gas-phase separation using a trapped ion mobility spectrometer","volume":"14","author":"Fernandez-Lima","year":"2011","journal-title":"Int. J. Ion Mobil. Spectrom."},{"key":"10.1016\/j.mcpro.2023.100563_bib44","doi-asserted-by":"crossref","first-page":"D816","DOI":"10.1093\/nar\/gkn673","article-title":"CTdatabase: a knowledge-base of high-throughput and curated data on cancer-testis antigens","volume":"37","author":"Almeida","year":"2009","journal-title":"Nucleic Acids Res."},{"key":"10.1016\/j.mcpro.2023.100563_bib45","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1034\/j.1600-065X.2002.18803.x","article-title":"Cancer\/testis antigens: an expanding family of targets for cancer immunotherapy","volume":"188","author":"Scanlan","year":"2002","journal-title":"Immunol. Rev."},{"key":"10.1016\/j.mcpro.2023.100563_bib46","doi-asserted-by":"crossref","first-page":"1018","DOI":"10.1158\/2326-6066.CIR-19-0886","article-title":"Identification of the Cryptic HLA-I immunopeptidome","volume":"8","author":"Erhard","year":"2020","journal-title":"Cancer Immunol. Res."},{"key":"10.1016\/j.mcpro.2023.100563_bib47","doi-asserted-by":"crossref","DOI":"10.1016\/j.mcpro.2022.100230","article-title":"MHC class I immunopeptidome: past, present, and future","volume":"21","author":"Yewdell","year":"2022","journal-title":"Mol. Cell. Proteomics"},{"key":"10.1016\/j.mcpro.2023.100563_bib48","doi-asserted-by":"crossref","first-page":"1293","DOI":"10.1038\/s41467-020-14968-9","article-title":"Integrated proteogenomic deep sequencing and analytics accurately identify non-canonical peptides in tumor immunopeptidomes","volume":"11","author":"Chong","year":"2020","journal-title":"Nat. Commun."},{"key":"10.1016\/j.mcpro.2023.100563_bib49","doi-asserted-by":"crossref","DOI":"10.1016\/j.celrep.2021.108815","article-title":"Most non-canonical proteins uniquely populate the proteome or immunopeptidome","volume":"34","author":"Ruiz Cuevas","year":"2021","journal-title":"Cell Rep."},{"key":"10.1016\/j.mcpro.2023.100563_bib50","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.cels.2020.06.010","article-title":"MHCflurry 2.0: improved Pan-allele prediction of MHC class I-presented peptides by Incorporating antigen processing","volume":"11","author":"O\u2019Donnell","year":"2020","journal-title":"Cell Syst."},{"key":"10.1016\/j.mcpro.2023.100563_bib51","article-title":"PredMHC: an effective predictor of major histocompatibility complex using mixed features","volume":"13","author":"Chen","year":"2022","journal-title":"Front. Genet."},{"key":"10.1016\/j.mcpro.2023.100563_bib52","doi-asserted-by":"crossref","first-page":"3360","DOI":"10.4049\/jimmunol.1700893","article-title":"NetMHCpan-4.0: improved peptide-MHC class I interaction predictions Integrating eluted Ligand and peptide binding Affinity data","volume":"199","author":"Jurtz","year":"2017","journal-title":"J.\u00a0Immunol."},{"key":"10.1016\/j.mcpro.2023.100563_bib53","doi-asserted-by":"crossref","DOI":"10.1016\/j.mcpro.2021.100080","article-title":"Sensitive immunopeptidomics by leveraging available large-scale multi-HLA spectral Libraries, data-independent acquisition, and MS\/MS prediction","volume":"20","author":"Pak","year":"2021","journal-title":"Mol. Cell. Proteomics"},{"key":"10.1016\/j.mcpro.2023.100563_bib54","doi-asserted-by":"crossref","DOI":"10.1016\/j.mcpro.2023.100515","article-title":"Benchmarking bioinformatics pipelines in data-independent acquisition mass spectrometry for immunopeptidomics","volume":"22","author":"Shahbazy","year":"2023","journal-title":"Mol. Cell. Proteomics"},{"key":"10.1016\/j.mcpro.2023.100563_bib55","doi-asserted-by":"crossref","first-page":"3108","DOI":"10.1038\/s41467-022-30867-7","article-title":"A\u00a0streamlined platform for analyzing tera-scale DDA and DIA mass spectrometry data enables highly sensitive immunopeptidomics","volume":"13","author":"Xin","year":"2022","journal-title":"Nat. Commun."}],"container-title":["Molecular & Cellular Proteomics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1535947623000737?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1535947623000737?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T21:07:34Z","timestamp":1762549654000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1535947623000737"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6]]},"references-count":55,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2023,6]]}},"alternative-id":["S1535947623000737"],"URL":"https:\/\/doi.org\/10.1016\/j.mcpro.2023.100563","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2023.03.10.532106","asserted-by":"object"}]},"ISSN":["1535-9476"],"issn-type":[{"value":"1535-9476","type":"print"}],"subject":[],"published":{"date-parts":[[2023,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Sensitive, High-Throughput HLA-I and HLA-II Immunopeptidomics Using Parallel Accumulation-Serial Fragmentation Mass Spectrometry","name":"articletitle","label":"Article Title"},{"value":"Molecular & Cellular Proteomics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.mcpro.2023.100563","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 The Authors. Published by Elsevier Inc on behalf of American Society for Biochemistry and Molecular Biology.","name":"copyright","label":"Copyright"}],"article-number":"100563"}}