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PXD078423

PXD078423 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleA quantitative proteomics dataset for assessment and prediction of low dose X-ray radiation exposure in mice
DescriptionIonizing radiation induces molecular responses that may be used to estimate exposure when physical dosimeters are unavailable. Here we present two large-scale proteomics datasets generated from mouse dorsal skin punch samples collected following controlled X-ray exposures spanning multiple doses, dose rates, and post-exposure time points. Experiment 1 comprised 96 samples (including 16 reference samples) collected 6 days after exposure to 0–75 cGy delivered at either 30 or 300 cGy/min. Experiment 2 comprised 936 samples (including 236 reference samples) exposed to 0–100 cGy at either 3 or 28 cGy/min dose rates and harvested between 7 and 150 days post-exposure. All samples were processed using a standardized workflow involving automated bead-based digestion and data-independent acquisition mass spectrometry. The datasets include multiple pooled reference sample types, process controls, and system suitability standards ensuring high quality data. All data presented are available via ProteomeXchange at several levels of processing, from raw files through normalized peptide- and protein-level abundance matrices suitable for biomarker discovery and machine learning applications. This dataset will facilitate generation of new insights into the biological changes and molecular signatures resulting from X-ray exposure in mice and may also help inform future studies in humans.
HostingRepositoryPanoramaPublic
AnnounceDate2026-05-22
AnnouncementXMLSubmission_2026-05-22_17:53:04.993.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportSupported dataset by repository
PrimarySubmitterAlex Zelter
SpeciesList scientific name: Mus musculus; NCBI TaxID: 10090;
ModificationListCarbamidomethyl; Label:13C(6)15N(2); Label:13C(6)15N(4)
InstrumentOrbitrap Eclipse; Orbitrap Astral
Dataset History
RevisionDatetimeStatusChangeLog Entry
02026-05-15 16:28:27ID requested
12026-05-18 17:39:28announced
22026-05-22 17:53:05announced: Added publication
Publication List
Zelter A, Riffle M, Merrihew GE, Mutawe B, Shulman N, Sanders JA, Noble WS, Johnson Erickson DP, Morimoto A, Shaver BA, Steins TN, Cao N, Ford EC, Rudnick PA, Chelsky D, Wan KH, Inman JL, Chang H, Snijders AM, Mao JH, Celniker SE, De Chant J, Obst-Huebl L, Nakamura K, Wu CC, MacCoss MJ. A quantitative proteomics dataset for assessment and prediction of low dose X-ray radiation exposure in mice. bioRxiv. 2026:2026.05.18.725951. doi:10.64898/2026.05.18.725951
Keyword List
submitter keyword: Radiation biodosimetry, data-independent acquisition, DIA proteomics, mouse skin, X-ray exposure, low-dose radiation, biomarker discovery, mass spectrometry, batch correction, machine learning
Contact List
Michael MacCoss
contact affiliationDepartment of Genome Sciences, University of Washington
contact emailmaccoss@uw.edu
lab head
Alex Zelter
contact affiliationDepartment of Genome Sciences, University of Washington
contact emailazelter@uw.edu
dataset submitter
Full Dataset Link List
Panorama Public dataset URI