Artif Intell Med - Functional proteomic pattern identification under low dose ionizing radiation.

Tópicos

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Resumo

JECTIVE: High dose radiation has been well known for increasing the risk of carcinogenesis. However, the understanding of biological effects of low dose radiation is limited. Low dose radiation is reported to affect several signaling pathways including deoxyribonucleic acid repair, survival, cell cycle, cell growth, and cell death. The goal of this study is to reveal the proteomic patterns influencing these pathways.METHODS AND MATERIALS: To detect the possibly regulatory proteins/kinases, an emerging reverse-phase protein microarray (RPPM) in conjunction with quantum dots nano-crystal technology is used as a quantitative detection system. The dynamic responses are observed under different time points and radiation doses. To quantitatively determine the responsive protein/kinases and to discover the network motifs, we present a discriminative feature pattern identification system (DFPIS). Instead of simply identifying proteins contributing to the pathways, our methodology takes into consideration of protein dependencies which are represented as strong jumping emerging patterns (SJEPs). Furthermore, infrequent patterns, though occurred, will be considered irrelevant.RESULTS: Computational results using DFPIS to analyze ataxia-telangiectasia mutated (ATM) cells treated under six different ionizing radiation doses (0cGy, 4cGy, 10cGy, 50cGy, 1Gy, and 5Gy) are presented. For each dose, the dynamic response was observed at different time points (1, 6, 24, 48, and 72h). The sets of different responsive proteins/kinases at different dose are reported. For each dose, the SJEPs for ATM-proficient and ATM-deficient cells are shown and compared.CONCLUSION: By using the new RPPM technology and the DFPIS algorithm, we can observe the change of signaling patterns even at a very low radiation dosage where conventional technologies tend to fail.

Resumo Limpo

jectiv high dose radiat well known increas risk carcinogenesi howev understand biolog effect low dose radiat limit low dose radiat report affect sever signal pathway includ deoxyribonucl acid repair surviv cell cycl cell growth cell death goal studi reveal proteom pattern influenc pathwaysmethod materi detect possibl regulatori proteinskinas emerg reversephas protein microarray rppm conjunct quantum dot nanocryst technolog use quantit detect system dynam respons observ differ time point radiat dose quantit determin respons proteinkinas discov network motif present discrimin featur pattern identif system dfpis instead simpli identifi protein contribut pathway methodolog take consider protein depend repres strong jump emerg pattern sjep furthermor infrequ pattern though occur will consid irrelevantresult comput result use dfpis analyz ataxiatelangiectasia mutat atm cell treat six differ ioniz radiat dose cgi cgi cgi cgi gy gy present dose dynam respons observ differ time point h set differ respons proteinskinas differ dose report dose sjep atmprofici atmdefici cell shown comparedconclus use new rppm technolog dfpis algorithm can observ chang signal pattern even low radiat dosag convent technolog tend fail

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