A quantitative proteomics dataset for assessment and prediction of low dose X-ray radiation exposure in mice.

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Title: A quantitative proteomics dataset for assessment and prediction of low dose X-ray radiation exposure in mice.
Authors: Zelter A; Department of Genome Sciences, University of Washington, Seattle, WA, USA., Riffle M; Department of Genome Sciences, University of Washington, Seattle, WA, USA., Merrihew GE; Department of Genome Sciences, University of Washington, Seattle, WA, USA., Mutawe B; Department of Genome Sciences, University of Washington, Seattle, WA, USA., Shulman N; Department of Genome Sciences, University of Washington, Seattle, WA, USA., Sanders JA; Department of Genome Sciences, University of Washington, Seattle, WA, USA., Noble WS; Department of Genome Sciences, University of Washington, Seattle, WA, USA., Johnson Erickson DP; Department of Radiation Oncology, University of Washington School of Medicine, Seattle, WA, USA., Morimoto A; Department of Radiation Oncology, University of Washington School of Medicine, Seattle, WA, USA., Shaver BA; Department of Radiation Oncology, University of Washington School of Medicine, Seattle, WA, USA., Steins TN; Department of Radiation Oncology, University of Washington School of Medicine, Seattle, WA, USA., Cao N; Department of Radiation Oncology, University of Washington School of Medicine, Seattle, WA, USA., Ford EC; Department of Radiation Oncology, University of Washington School of Medicine, Seattle, WA, USA., Rudnick PA; Spectragen Informatics LLC, Bainbridge Island, WA, USA., Chelsky D; Spectragen Informatics LLC, Bainbridge Island, WA, USA., Wan KH; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, USA., Inman JL; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, USA., Chang H; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, USA., Snijders AM; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, USA.; Current address: Biosciences and Biotechnology Division, Lawrence Livermore National Laboratory, 7000 East Avenue, Livermore, CA, USA., Mao JH; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, USA., Celniker SE; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, USA., De Chant J; Accelerator Technology & Applied Physics Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, USA., Obst-Huebl L; Accelerator Technology & Applied Physics Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, USA., Nakamura K; Accelerator Technology & Applied Physics Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, USA., Wu CC; Department of Genome Sciences, University of Washington, Seattle, WA, USA., MacCoss MJ; Department of Genome Sciences, University of Washington, Seattle, WA, USA.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2026 May 22. Date of Electronic Publication: 2026 May 22.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2692-8205
DOI:10.64898/2026.05.18.725951