The effect of cosmic radiation on astronauts is a major barrier for human space exploration. In particular, medical protection against heavy ion radiation-induced injury is one of the key approaches in counteracting cosmic radiation to humans. In recent years, with the rapid accumulation of high-throughput data including gene expression profiles and omics-based data such as protein-protein interactions (PPI), large-scaled network pharmacology analyses can now be conducted. Exploring human genes with potentially high correlation to protection against radiation is becoming an important component and a new approach in heavy ion radiation study owing to advances in rational computational methods based on systems biology techniques.
In this study, heavy ion accelerators were employed to simulate cosmic radiation and a pipeline was constructed to identify activated subnetworks of significantly differentially expressed genes and to predict essential genes related to radiation-induced injury protection. Human lymphoblastoid AHH-1 cells were irradiated with 0.5 or 2 Gy of carbon ions (12C6+). Two kinds of existing radioprotective agents 523 and VND3207 were separately used
国家自然科学基金(11705283)
中国科学技术协会“青年人才托举工程”项目(CSTQT2017003)
全军医学科技青年培育计划孵化项目(17QNP037)
军事医学科学院军事医学创新基金(2017CXJJ18)
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Figure 1
Identifying activated subnetworks of significantly differentially expressed genes (b) from the network of gene expression regulation of cells treated with 0.5 Gy of carbon ions (12C6+) and 523 (a). Red nodes correspond to up-regulated genes while green ones correspond to down-regulated genes. Size of the nodes is proportional to their fold changes. Nodes with fold changes greater than 2 were marked
Figure 2
Enriched clusters of potential essential molecular targets related to radiation protection
Figure 3
Effects of carbon ions (12C6+) on expression of
基因 | 药物干预后调节方向 | 药物干预后调节倍数 | 辐照后调节方向 | 辐照后调节倍数 |
上调 | 2.475 | 下调 | 1.861 | |
上调 | 2.449 | 下调 | 4.842 | |
上调 | 2.406 | 下调 | 1.629 | |
上调 | 2.369 | 下调 | 1.891 | |
上调 | 2.355 | 下调 | 1.414 | |
上调 | 2.329 | 下调 | 2.199 | |
上调 | 2.195 | 下调 | 2.705 | |
上调 | 2.185 | 下调 | 2.447 | |
上调 | 2.045 | 下调 | 1.420 | |
上调 | 2.036 | 下调 | 2.416 | |
上调 | 2.032 | 下调 | 2.627 |
基因 | 辐射剂量(Gy) | 干预药物 | 药物干预后调节方向 | 药物干预后调节倍数 | 辐照后 调节方向 | 辐照后调节倍数 |
0.5 | VND3207 | 下调 | 2.475 | 上调 | 1.010 | |
0.5 | VND3207 | 下调 | 2.369 | 上调 | 1.059 | |
0.5 | VND3207 | 下调 | 2.195 | 上调 | 1.055 | |
0.5 | VND3207 | 上调 | 2.045 | 下调 | 1.672 | |
2.0 | 523 | 上调 | 3.064 | 下调 | 1.455 | |
2.0 | 523 | 下调 | 3.002 | 上调 | 1.695 | |
2.0 | 523 | 下调 | 2.469 | 上调 | 1.342 | |
2.0 | 523 | 下调 | 2.414 | 上调 | 1.485 | |
2.0 | 523 | 下调 | 2.335 | 上调 | 2.426 | |
2.0 | VND3207 | 下调 | 3.255 | 上调 | 1.143 | |
2.0 | VND3207 | 下调 | 2.934 | 上调 | 1.818 | |
2.0 | VND3207 | 下调 | 2.549 | 上调 | 1.591 | |
2.0 | VND3207 | 下调 | 2.361 | 上调 | 1.138 | |
2.0 | VND3207 | 下调 | 2.143 | 上调 | 1.405 | |
2.0 | VND3207 | 下调 | 2.054 | 上调 | 1.314 | |
2.0 | VND3207 | 上调 | 2.049 | 下调 | 1.077 |