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您的检索式：作者名="Lingchen Lin"
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| 1 | The desumoylating enzyme sentrin-specific protease 3 contributes to myocardial ischemia reperfusion injury显示文摘Sentrin-specific protease 3(SENP3), a member of the desumoylating enzyme family, is known as a redox sensor and could regulate multiple cellular signaling pathways. However, its implication in myocardial ischemia reperfusion(MIR) injury is unclear. Here, we observed that SENP3 was expressed and upregulated in the mouse heart depending on reactive oxygen species(ROS) production in response to MIR injury. By utilizing si RNA-mediated cardiac specific gene silencing, SENP3 knockdown was demonstrated to significantly reduce MIR-induced infarct size and improve cardiac function. Mechanistic studies indicated that SENP3 silencing ameliorated myocardial apoptosis mainly via suppression of endoplasmic reticulum(ER) stress and mitochondrial-mediated apoptosis pathways. By contrast, adenovirusmediated cardiac SENP3 overexpression significantly exaggerated MIR injury. Further molecular analysis revealed that SENP3 promoted mitochondrial translocation of dynamin-related protein 1(Drp1) in reperfused myocardium. In addition, mitochondrial division inhibitor-1(Mdivi-1), a pharmacological inhibitor of Drp1, significantly attenuated the exaggerated mitochondrial abnormality and cardiac injury by SENP3 overexpression after MIR injury. Taken together, we provide the first direct evidence that SENP3 upregulation pivotally contributes to MIR injury in a Drp1-dependent manner, and suggest that SENP3 suppression may hold therapeutic promise for constraining MIR injury. | Lingchen Gao Yichao Zhao Jie He Yang Yan Longwei Xu Nan Lin Qingqi Ji Renyang Tong Yanan Fu Yu Gao Yuanyuan Su Ancai Yuan Ben He Jun Pu | 2018 | Journal of Genetics and Genomics2018，45，3： | 5 |
| 2 | Expression, Purification, and Characterization of a Novel Soluble Form of Human Delta-like-1显示文摘 | Mei Zhao Mingyuan Wu Lingchen Guo Junfen Jiang Weiwei Huang Xiaojuan Lin Zhonghui Zhang Di Xiang Huili Lu Shunying Zhu Yan Yu Anja Moldenhauer Wei Han | 2010 | Applied Biochemistry and Biotechnology2010，，5： | 1 |
| 3 | Effect of layer thickness and voxel size inversion on leaf area density based on the voxel-based canopy profiling method显示文摘Voxel-based canopy profiling is commonly used to determine small-scale leaf area.Layer thickness and voxel size impact accuracy when using this method.Here,we determined the optimal combination of layer thickness and voxel size to estimate leaf area density accurately.Terrestrial LiDAR Stonex X300 was used to generate point cloud data for Masson pines(Pinus massoniana).The canopy layer was stratified into 0.10-1.00-m-thick layers,while voxel size was 0.01-0.10 m.The leaf area density of individual trees was estimated using leaf area indices for the upper,middle,and lower canopy and the overall canopy.The true leaf area index,obtained by layered harvesting,was used to verify the inversion results.Leaf area density was inverted by nine combinations of layer thickness and voxel size.The average relative accuracy and mean estimated accuracy of these combined inversion results exceeded 80%.When layer thickness was 1.00 m and voxel size 0.05 m,inversion was closest to the true value.The average relative accuracy was 92.58%,mean estimated accuracy 98.00%,and root mean square error 0.17.The combination of leaf area density and index was accurately retrieved.In conclusion,nondestructive voxel-based canopy profiling proved suitable for inverting the leaf area density of Masson pine in Hetian Town,Fujian Province. | Yan Chen Jian Liu Xiong Yao Yangbo Deng Zhenbang Hao Lingchen Lin Nankun Wu Kunyong Yu | 2022 | Journal of Forestry Research2022，33，5： | 0 |
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