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PXD048006

PXD048006 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitlepXg: Comprehensive identification of noncanonical MHC-I-associated peptides from de novo peptide sequencing using RNA-Seq reads
DescriptionDiscovering noncanonical peptides has been a common application of proteogenomics. Recent studies suggest that certain noncanonical peptides, known as ncMAPs (noncanonical MHC-I-associated peptides), that bind to major histocompatibility complex I may make good immunotherapeutic targets. De novo peptide sequencing is a great way to find ncMAPs since it can detect peptide sequences from their tandem mass spectra without using any sequence databases. However, this strategy hasn’t been widely applied for ncMAP identification because there is not a good way to estimate its false-positive rates. In order to completely and accurately identify immunopeptides using de novo peptide sequencing, we describe a unique pipeline called pXg. In contrast to current pipelines, it makes use of genomic data, RNA-Seq abundance and sequencing quality, in addition to proteomic features to increase the sensitivity and specificity of peptide identification. We show that the peptide-spectrum match quality and genetic traits have a clear relationship, showing that they can be utilized to evaluate peptide-spectrum matches. From ten samples, we found 24,449 cMAPs (canonical MHC-I-associated peptides) and 956 ncMAPs by using a target-decoy competition. 387 ncMAPs and 1,611 cMAPs were novel identifications that had not yet been published. We discovered 11 ncMAPs produced from a squirrel monkey retrovirus in human cell lines in addition to the 2 ncMAPs originating from a complementarity determining region 3 in an antibody thanks to the unrestricted search space assumed by de novo sequencing. These entirely new identifications show that pXg can make the most of de novo peptide sequencing's advantages and its potential use in the search for new immunotherapeutic targets.
HostingRepositoryPRIDE
AnnounceDate2024-02-28
AnnouncementXMLSubmission_2024-02-28_02:37:26.245.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterSeunghyuk Choi
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentQ Exactive HF; Orbitrap Fusion; LTQ Orbitrap Elite
Dataset History
RevisionDatetimeStatusChangeLog Entry
02023-12-20 07:41:32ID requested
12024-02-28 02:37:28announced
Publication List
10.1016/j.celrep.2021.108815;
Pandey K, Mifsud NA, Lim Kam Sian TCC, Ayala R, Ternette N, Ramarathinam SH, Purcell AW, In-depth mining of the immunopeptidome of an acute myeloid leukemia cell line using complementary ligand enrichment and data acquisition strategies. Mol Immunol, 123():7-17(2020) [pubmed]
10.1016/j.molimm.2020.04.008;
10.1016/J.MCPRO.2024.100743;
Granados DP, Sriranganadane D, Daouda T, Zieger A, Laumont CM, Caron-Lizotte O, Boucher G, Hardy MP, Gendron P, C, ô, t, é C, Lemieux S, Thibault P, Perreault C, Impact of genomic polymorphisms on the repertoire of human MHC class I-associated peptides. Nat Commun, 5():3600(2014) [pubmed]
Ruiz Cuevas MV, Hardy MP, Holl, ý J, Bonneil É, Durette C, Courcelles M, Lanoix J, C, ô, t, é C, Staudt LM, Lemieux S, Thibault P, Perreault C, Yewdell JW, Most non-canonical proteins uniquely populate the proteome or immunopeptidome. Cell Rep, 34(10):108815(2021) [pubmed]
10.1038/ncomms4600;
Keyword List
submitter keyword: immunopeptidomics
Contact List
Eunok Paek
contact affiliation1 Department of Computer Science, Hanyang University, Seoul 04763, Republic of Korea 2 Institute for Artificial Intelligence Research, Hanyang University, Seoul 04763, Republic of Korea
contact emaileunokpaek@hanyang.ac.kr
lab head
Seunghyuk Choi
contact affiliationHanyang University
contact emailprogistar@gmail.com
dataset submitter
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