PXD056909 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Identification and label-free quantification of proteins in atherosclerotic human carotid arteries by nanoLC-MS/MS-based shotgun proteomics using data-independent acquisition |
Description | We present a proteomics dataset relying on nanoLC-MS/MS-based shotgun proteomics and using data-independent acquisitions on an Orbitrap hybrid instrument to enable comparisons of protein levels in human carotid endarterectomies with atheromatous plaques, complicated lesions, and healthy vasculature. Study approval, as well as collection and selection of study specimens were described in our previous publication (https://doi.org/https://doi.org/10.1089/ars.2020.8234). Briefly, atherosclerotic samples were obtained from patients by carotid endarterectomies, and healthy carotid arteries (H) were harvested from cadavers of suicide or fatal trauma victims without cardiovascular diseases. All samples were classified by a pathologist according to guidelines by the American Heart Association as atheromatous (A), having complicated lesions (C) and were identical with those having met specified study criteria and included in high-throughput global transcriptomic analyses by RNA-seq earlier. Specifically, inclusion criteria were as follows: samples received within 1 h after endarterectomy, no RNA and protein degradation occurred, blood clot in the artery was absent, and collection of samples was done appropriately. This is a follow up proteomics dataset that used the same samples and the same sample processing protocol but relied on data-dependent acquisition (dataset identifier PXD038922, doi:10.6019/PXD038922). For further comparison, RNA-seq data are also available in the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) database under the accession number PRJNA594843. |
HostingRepository | PRIDE |
AnnounceDate | 2025-05-07 |
AnnouncementXML | Submission_2025-05-07_03:58:28.932.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Laszlo Prokai |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | deamidated residue; iodoacetamide derivatized residue |
Instrument | Orbitrap Fusion |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2024-10-17 07:32:06 | ID requested | |
⏵ 1 | 2025-05-07 03:58:29 | announced | |
Publication List
Kall, ó G, Zaman K, Potor L, Hendrik Z, M, é, hes G, T, ó, th C, Gergely P, T, ő, zs, é, r J, Balla G, Balla J, Prokai L, Cs, ő, sz É, Identification of Protein Networks and Biological Pathways Driving the Progression of Atherosclerosis in Human Carotid Arteries Through Mass Spectrometry-Based Proteomics. Int J Mol Sci, 25(24):(2024) [pubmed] |
10.3390/ijms252413665; |
Keyword List
submitter keyword: atherosclerosis |
complicated lesion |
human carotid artery |
data-independent LC–MS/MS |
quantitative label-free proteomics |
Contact List
Dr Éva Csősz |
contact affiliation | Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, Egyetem Ter 1, 4032 Hungary |
contact email | cseva@med.unideb.hu |
lab head | |
Laszlo Prokai |
contact affiliation | Department of Pharmacology & Neuroscience UNT Health Science Center Fort Worth, TX, USA |
contact email | advancedms@unthsc.edu |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD056909
- Label: PRIDE project
- Name: Identification and label-free quantification of proteins in atherosclerotic human carotid arteries by nanoLC-MS/MS-based shotgun proteomics using data-independent acquisition