Literature DB >> 26962295

A Quantitative Proteomic Analysis of Urine from Gamma-Irradiated Non-Human Primates.

Stephanie D Byrum1, Marie S Burdine1, Lisa Orr1, Linley Moreland1, Samuel G Mackintosh1, Simon Authier2, Mylene Pouliot2, Martin Hauer-Jensen3, Alan J Tackett1.   

Abstract

The molecular effects of total body gamma-irradiation exposure are of critical importance as large populations of people could be exposed either by terrorists, nuclear blast, or medical therapy. In this study, we aimed to identify changes in the urine proteome using a non-human primate model system, Rhesus macaque, in order to characterize effects of acute radiation syndrome following whole body irradiation (Co-60) at 6.7 Gy and 7.4 Gy with a twelve day observation period. The urine proteome is potentially a valuable and non-invasive diagnostic for radiation exposure. Using high-resolution mass spectrometry, we identified 2346 proteins in the urine proteome. We show proteins involved in disease, cell adhesion, and metabolic pathway were significantly changed upon exposure to differing levels and durations of radiation exposure. Cell damage increased at a faster rate at 7.4 Gy compared with 6.7 Gy exposures. We report sets of proteins that are putative biomarkers of time- and dose-dependent radiation exposure. The proteomic study presented here is a comprehensive analysis of the urine proteome following radiation exposure.

Entities:  

Keywords:  Acute radiation syndrome; Biomarkers; Quantitative proteomic; Rhesus monkey; Urine proteome

Year:  2015        PMID: 26962295      PMCID: PMC4780756          DOI: 10.4172/jpb.S10-005

Source DB:  PubMed          Journal:  J Proteomics Bioinform        ISSN: 0974-276X


  26 in total

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Journal:  Biochimie       Date:  2010-05-21       Impact factor: 4.079

5.  Practical advice on calculating confidence intervals for radioprotection effects and reducing animal numbers in radiation countermeasure experiments.

Authors:  Reid D Landes; Shelly Y Lensing; Ralph L Kodell; Martin Hauer-Jensen
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9.  STRING v10: protein-protein interaction networks, integrated over the tree of life.

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Journal:  Nucleic Acids Res       Date:  2014-10-28       Impact factor: 16.971

10.  Quantitative proteomic analysis of single or fractionated radiation-induced proteins in human breast cancer MDA-MB-231 cells.

Authors:  Mi-Hyoung Kim; Seung-Youn Jung; Jiyeon Ahn; Sang-Gu Hwang; Hee-Jong Woo; Sungkwan An; Seon Young Nam; Dae-Seog Lim; Jie-Young Song
Journal:  Cell Biosci       Date:  2015-02-03       Impact factor: 7.133

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  5 in total

Review 1.  Nonhuman primates as models for the discovery and development of radiation countermeasures.

Authors:  Vijay K Singh; Ayodele O Olabisi
Journal:  Expert Opin Drug Discov       Date:  2017-05-05       Impact factor: 6.098

2.  The Gastrointestinal Subsyndrome of the Acute Radiation Syndrome in Rhesus Macaques: A Systematic Review of the Lethal Dose-response Relationship With and Without Medical Management.

Authors:  Thomas J MacVittie; Ann M Farese; George A Parker; William Jackson; Catherine Booth; Gregory L Tudor; Kim G Hankey; Christopher S Potten
Journal:  Health Phys       Date:  2019-03       Impact factor: 2.922

3.  Vulvar squamous cell carcinoma aggressiveness is associated with differential expression of collagen and STAT1.

Authors:  Emily R Holthoff; Stephanie D Byrum; Samuel G Mackintosh; Thomas Kelly; Alan J Tackett; Charles M Quick; Steven R Post
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4.  Time- and radiation-dose dependent changes in the plasma proteome after total body irradiation of non-human primates: Implications for biomarker selection.

Authors:  Stephanie D Byrum; Marie S Burdine; Lisa Orr; Samuel G Mackintosh; Simon Authier; Mylene Pouliot; Martin Hauer-Jensen; Alan J Tackett
Journal:  PLoS One       Date:  2017-03-28       Impact factor: 3.240

5.  Candidate protein markers for radiation biodosimetry in the hematopoietically humanized mouse model.

Authors:  Younghyun Lee; Monica Pujol Canadell; Igor Shuryak; Jay R Perrier; Maria Taveras; Purvi Patel; Antonius Koller; Lubomir B Smilenov; David J Brenner; Emily I Chen; Helen C Turner
Journal:  Sci Rep       Date:  2018-09-10       Impact factor: 4.379

  5 in total

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