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一种用于评估辐射诱导 DNA 双链断裂的逐细胞蒙特卡罗模拟方法。

A cell-by-cell Monte Carlo simulation for assessing radiation-induced DNA double strand breaks.

机构信息

251 E Huron Street, Galter Pavilion L-210, Department of Radiation Oncology, Northwestern University Feinberg School of Medicine, Northwestern Memorial Hospital, Chicago, IL 60611, USA(1).

770 State St NW, Nuclear and Radiological Engineering and Medical Physics Program, Georgia Institute of Technology, Atlanta, GA 30332, USA.

出版信息

Phys Med. 2019 Jun;62:140-151. doi: 10.1016/j.ejmp.2019.05.006. Epub 2019 May 21.

Abstract

This paper presents a cell-by-cell Monte Carlo simulation study that combines charged particle track structure data with an interphase cell nucleus model to quantify DNA double strand breaks (DSBs), spatial distribution of DSBs in a cell nucleus, and resulting potentially lethal or mutagenic events (PLMEs) between DSBs in close proximity. Cell nucleus is simulated according to the chromosome territory-interchromatin compartment (CT-IC) model in that chromatin content is unevenly distributed in chromatin domains (CDs) and IC with a chromatin compaction ratio of 22:1. A particle track structure coordinate (PTSC) library was first generated for each particle type, energy, and dose based on a large number of particle track data obtained by running the Monte Carlo track structure code Geant4-DNA. To assess the DNA DSBs of a cell for a specific particle type, energy, and dose, the corresponding PTSC was selected and "map overlaid" onto 960 unique cell nucleus data sets containing chromatin fiber (CF) locations. Clustering algorithm DBSCAN was next used to identify the clustered energy deposition events occurring inside the CF. These events were then converted to DNA DSBs using a probabilistic approach. The locations of the DSBs thus obtained were, in turn, used to calculate PLMEs within the cell nucleus that can result from DSB proximity and complexity. The results obtained from this simulation study are correctly correlated to the experimental data of DSB yield and the RBE-LET relationships for various types of charged particles and of various energies. The results show agreement with other published radiobiological models.

摘要

本文提出了一种单细胞蒙特卡罗模拟研究,该研究将带电粒子轨迹结构数据与相间细胞核模型相结合,以量化 DNA 双链断裂 (DSB)、细胞核中 DSB 的空间分布以及近距离 DSB 之间可能导致致死或致突变的事件 (PLMEs)。细胞核根据染色体区域-染色质间隔区 (CT-IC) 模型进行模拟,即染色质内容在染色质域 (CD) 和 IC 中不均匀分布,染色质压缩比为 22:1。首先,根据大量通过运行蒙特卡罗轨迹结构代码 Geant4-DNA 获得的粒子轨迹数据,为每种粒子类型、能量和剂量生成了粒子轨迹结构坐标 (PTSC) 库。为了评估特定粒子类型、能量和剂量的细胞的 DNA DSBs,选择相应的 PTSC 并“映射覆盖”到包含染色质纤维 (CF) 位置的 960 个独特细胞核数据集上。接下来,使用聚类算法 DBSCAN 来识别在 CF 内部发生的聚类能量沉积事件。然后,使用概率方法将这些事件转换为 DNA DSBs。由此获得的 DSB 位置依次用于计算细胞核内可能由于 DSB 接近和复杂性而导致的 PLMEs。从这项模拟研究中获得的结果与各种类型的带电粒子和各种能量的 DSB 产额和 RBE-LET 关系的实验数据正确相关。结果与其他已发表的放射生物学模型一致。

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