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PXD042852

PXD042852 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleNanoparticle Enrichment Mass-Spectrometry Proteomics Identifies Protein Altering Variants for Precise pQTL Mapping
DescriptionProteogenomics studies generate hypotheses on protein function and provide genetic evidence for drug target prioritization. Most previous work has been conducted using affinity-based proteomics approaches. These technological face challenges, such as uncertainty regarding target identity, non-specific binding, and handling of variants that affect epitope affinity binding. Mass spectrometry (MS)-based proteomics can overcome some of these challenges. Here we report a pQTL study using the Proteographâ„¢ Product Suite workflow (Seer, Inc.) where we quantify over 18,000 unique peptides from nearly 3,000 proteins in more than 320 blood samples from a multi-ethnic cohort in a bottom-up, peptide-centric, MS-based proteomics approach. We identify 184 protein-altering variants (PAVs) in 137 genes that are significantly associated with their corresponding variant peptides, confirming target specificity of co-associated affinity binders, identifying putatively causal cis-encoded proteins and providing experimental evidence for their presence in blood, including proteins that may be inaccessible to affinity-based proteomics.
HostingRepositoryPRIDE
AnnounceDate2023-12-22
AnnouncementXMLSubmission_2023-12-21_23:03:58.025.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterKarsten Suhre
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentBruker Daltonics timsTOF series
Dataset History
RevisionDatetimeStatusChangeLog Entry
02023-06-09 06:44:42ID requested
12023-12-21 23:03:58announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: Protein altering variants,Proteomics, Protein quantitative trait loci, Mass spectrometry, Genome-wide association studies, Proteographâ„¢ workflow
Contact List
Karsten Suhre
contact affiliationBioinformatics Core, Weill Cornell Medicine-Qatar
contact emailkas2049@qatar-med.cornell.edu
lab head
Karsten Suhre
contact affiliationWeill Cornell Medicine - Qatar
contact emailkas2049@qatar-med.cornell.edu
dataset submitter
Full Dataset Link List
Dataset FTP location
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PRIDE project URI
Repository Record List
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