Zinc and ZnT3 mRNA expression in mouse brain by SRXRF
文献类型：期刊论文
| 作者 | Zhang, YX; Wang, YS; Li, DL; Zhang, GL; Huang, YY; He, W; Long, JG; Shen, H; Huang YY(黄宇营); He W(何伟)
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| 刊名 | HIGH ENERGY PHYSICS AND NUCLEAR PHYSICS-CHINESE EDITION
 |
| 出版日期 | 2005 |
| 卷号 | 29页码:#REF! |
| 关键词 | SRXRF brain zinc element zinc transporter gene expression |
| 其他题名 | SRXRF研究鼠脑中Zn和ZnT3 mRNA的表达 |
| 通讯作者 | Zhang, YX (reprint author), Chinese Acad Sci, Shanghai Inst Appl Phys, Shanghai 201800, Peoples R China. |
| 英文摘要 | In order to explore the interaction and function between the ZnT3 mRNA expression and zinc elemental distribution in brain slice of mouse, zinc concentration and its distribution were determined by SRXRF and ZnT3 mRNA expression in tissue was examined by RT-PCR method. The results show that the zinc content in cerebral cortex and hippocampus was significantly higher than in other positions. The highest expression of ZnT3 mRNA was observed in cerebrum, hippocampus and testis. However, the ZnT3 mRNA was not detected in heart, liver, lung, spleen, kidney, intestine, olfactory bulb and cerebellum. Furthermore, the results suggest that ZnT3 facilitates the accumulation of zinc in synaptic vesicles and may play important roles in structuring of vesicular zinc pool. |
| 学科主题 | Physics |
| 类目[WOS] | Physics, Nuclear ; Physics, Particles & Fields |
| 收录类别 | SCI |
| WOS记录号 | WOS:000234206900018 |
| 公开日期 | 2016-05-03 |
| 源URL | [http://ir.ihep.ac.cn/handle/311005/225910]  |
| 专题 | 高能物理研究所_多学科研究中心 |
| 推荐引用方式 GB/T 7714 | Zhang, YX,Wang, YS,Li, DL,et al. Zinc and ZnT3 mRNA expression in mouse brain by SRXRF[J]. HIGH ENERGY PHYSICS AND NUCLEAR PHYSICS-CHINESE EDITION,2005,29:#REF!. |
| APA | Zhang, YX.,Wang, YS.,Li, DL.,Zhang, GL.,Huang, YY.,...&何伟.(2005).Zinc and ZnT3 mRNA expression in mouse brain by SRXRF.HIGH ENERGY PHYSICS AND NUCLEAR PHYSICS-CHINESE EDITION,29,#REF!. |
| MLA | Zhang, YX,et al."Zinc and ZnT3 mRNA expression in mouse brain by SRXRF".HIGH ENERGY PHYSICS AND NUCLEAR PHYSICS-CHINESE EDITION 29(2005):#REF!. |
入库方式： OAI收割
来源：高能物理研究所
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