Ionizing Model to Predict the Clustered in Nucleotide Damageafter Low & High LET Radiation
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University of Cincinnati / OhioLINK
2019
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| Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563274274747153 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-ucin15632742747471532021-08-03T07:11:54Z Ionizing Model to Predict the Clustered in Nucleotide Damageafter Low & High LET Radiation Zabarmawi, Yusra Physics electrons DNA Fast charged particles transfer energy to DNA molecules along their path. The electrons of theDNA along the path are ejected through energy transfer, and this process is called ionization.The linear energy transfer (LET) or density of the ionization differs by the type of radiation. Forexample, high LET, such as protons, produce the ionization in a dense track compared to low LETradiation, such as electrons or photons. Due to the difference in the LET, damage to the DNAare different even if the absorbed dose is the same. In this study, we construct a statistical modelcalled the Track Model for understanding ionization patterns from charged particle radiation inthe DNA. The track model is able to predict the rate of ionization clusters per unit radiation dose,which is likely to be related to DNA base lesions. The cluster is defined as two or more ionizations(holes) within a distance which we call the cluster scale ( r0 ), which is chosen for the study ofbase lesions to be the size of the nucleotides 0.34nm . We then test various r0 values to see how themodel depends on the cluster scale. We examined published data to interpret the results in termsof the track model result. The rate of DNA base modification induced by high LET radiation islower than the low LET radiation, which is consistent with the track model, where they originatefrom a single ionization and not from clustered ionization. We fit data to a curve based on singleionization. The best fit for r0 is 1 nm. 2019-10-18 English text University of Cincinnati / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563274274747153 http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563274274747153 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
| collection |
NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Physics electrons DNA |
| spellingShingle |
Physics electrons DNA Zabarmawi, Yusra Ionizing Model to Predict the Clustered in Nucleotide Damageafter Low & High LET Radiation |
| author |
Zabarmawi, Yusra |
| author_facet |
Zabarmawi, Yusra |
| author_sort |
Zabarmawi, Yusra |
| title |
Ionizing Model to Predict the Clustered in Nucleotide Damageafter Low & High LET Radiation |
| title_short |
Ionizing Model to Predict the Clustered in Nucleotide Damageafter Low & High LET Radiation |
| title_full |
Ionizing Model to Predict the Clustered in Nucleotide Damageafter Low & High LET Radiation |
| title_fullStr |
Ionizing Model to Predict the Clustered in Nucleotide Damageafter Low & High LET Radiation |
| title_full_unstemmed |
Ionizing Model to Predict the Clustered in Nucleotide Damageafter Low & High LET Radiation |
| title_sort |
ionizing model to predict the clustered in nucleotide damageafter low & high let radiation |
| publisher |
University of Cincinnati / OhioLINK |
| publishDate |
2019 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563274274747153 |
| work_keys_str_mv |
AT zabarmawiyusra ionizingmodeltopredicttheclusteredinnucleotidedamageafterlowhighletradiation |
| _version_ |
1719456395589320704 |