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| 1 | One-step generation of p53 gene biallelic mutant Cynomolgus monkey via the CRISPR/Cas system显示文摘 | Haifeng Wan Chunjing Feng Fei Teng Shihua Yang Baoyang Hu Yuyu Niu Andy Peng Xiang Weizhen Fang Weizhi Ji Wei Li Xiaoyang Zhao Qi Zhou | 2015 | Cell Research2015，25，2： | 39 |
| 2 | Potassium 2-(l-hydroxypentyl)-benzoate attenuates neuroinflammatory responses and upregulates heme oxygenase-1 in systemic lipopolysaccharide-induced inflammation in mice显示文摘A neuroinflammatory response is commonly involved in the progression of many neurodegenerative diseases. Potassium 2-(1-hydroxypentyl)-benzoate(PHPB), a novel neuroprotective compound, has shown promising effects in the treatment of ischemic stroke and Alzheimer's disease(AD). In the present study, the anti-inflammatory effects of PHPB were investigated in the plasma and brain of C57BL/6 mice administered a single intraperitoneal(i.p.) injection of lipopolysaccharide(LPS). Levels of i NOS and the cytokines TNFα, IL-1β and IL-10 were elevated in plasma, cerebral cortex and hippocampus after LPS injection and the number of microglia and astrocytes in cortex and hippocampus were increased. LPS also upregulated the expression of heme oxygenase-1(HO-1) in the cortex and hippocampus. PHPB reduced the levels of i NOS and cytokines in the plasma and brain, decreased the number of microglia and astrocytes and further enhanced the upregulation of HO-1. In addition, PHPB inhibited the LPS-induced phosphorylation of ERK, P38 and JNK. These results suggest that PHPB is a potential candidate in the treatment of neurodegenerative diseases through inhibiting neuroinflammation. | Chunyang Zhao Weizhen Hou Hui Lei Longjian Huang Shan Wang Dandan Cui Changhong Xing Xiaoliang Wang Ying Peng | 2017 | Acta Pharmaceutica Sinica B2017，7，4： | 9 |
| 3 | A finite-element simulation on deformational energy in structural deformed zone显示文摘Under the same conditions of external force, simulations on differences of deformational energy in structural zones, which have different deformational behavior, and that on the distribution of the differences have been carried out by means of finite-element method. Shear deformational energy U_w is higher than volume deformational energy U_T by about one order of magnitude, and deformationat energy U_B( = U_w + U_T) and U_w show a trend to be larger→largest→small in quantity in structural zones of different deformational properties, which correspond to compressive, shear, tensile zones, respectively, but U_T shows a trend to be large→small gradually. This has a considerable significance in the study of tectonic heat and mineral liquid migration in association with the research on tectonic additional hydrostatic pressure. | Guxian Lü Hongcai Wang Weizhen Peng Xiaobo Li Tao Guo Chusun Guo | 1999 | Chinese Science Bulletin1999，44，11： | 3 |
| 4 | Evolution of Quasicrystals and Long-Period Stacking Ordered Structures During Severe Plastic Deformation and Mixing of Dissimilar Mg Alloys Upon Friction Stir Welding显示文摘Microstructural evolution during severe plastic deformation and mixing of Mg95.8Zn3.6Gd0.6 and Mg97Cu1Y2(at%)alloys upon friction stir welding was studied.A laminated onion-ring structure composed of alternative distribution of layers with signifi cantly refi ned microstructures from diff erent alloys was formed in the stirred zone.Coarse quasicrystals were broken up and dispersed with most of them being transformed into cubic W-phase particles,and thick 18R long-period stacking ordered plates were fractured and transformed into fi ne 14H-LPSO lamellae in the stirred zone(SZ)experiencing complex material flow under high strain rate.Fine W-phase particles and 14H-LPSO lamellae formed during dissimilar friction stir welding(FSW)usually have no specifi c orientation relationship with surrounding Mg matrix.Chemical measurements demonstrated occurrence of interdiff usion between dissimilar layers in the SZ.Phase transformation was observed for some particles of quasicrystals and long-period stacking ordered(LPSO)in regions slightly outside the SZ.An ultimate tensile strength of~415 MPa and an elongation to failure of~27.8%,both exceeding those of base materials,were obtained in the SZ,due to microstructural refi nement and formation of a laminated structure. | Meichen Liang Hao Zhang Lifeng Zhang Peng Xue Dingrui Ni Weizhen Wang Zongyi Ma Hengqiang Ye Zhiqing Yang | 2021 | Acta Metallurgica Sinica(English Letters)2021，34，1： | 0 |
| 5 | Responses of photosynthetic characteristics and leaf senescence in summer maize to simultaneous stresses of waterlogging and shading显示文摘A field experiment was performed to investigate the physiological mechanism of the simultaneous stresses of waterlogging and shading on leaf photosynthetic and senescence during three growth stages of summer maize.The responses of leaf gas exchange parameters and antioxidant enzyme activities of the summer maize hybrids Denghai 605(DH605)to waterlogging(W),shading(S),and their combination(W+S)for 6 days at the third leaf stage(V3),the sixth leaf stage(V6),and the tasseling stage(VT)were recorded.Shading,waterlogging,and their combination disturbed the activities of protective enzymes and increased the contents of H2O2and O-2,accelerating leaf senescence and disordering photosynthetic characteristics.Under waterlogging,shading and their combination,leaf Pn,the photo-assimilates and grain yield was decreased.The greatest reduction for waterlogging and the combined stresses occurred at V3 and that for shading stress occurred at VT.The individual and combined stresses reduced the activities of protective enzymes and inhibited photosynthesis,reducing the accumulation of photosynthetic compounds and thereby yield.Waterlogging and the combined stresses at the V3 stage showed the greatest effect on leaf photosynthetic and senescence,followed by the V6 and VT stages.The greatest effect for shading stress occurred at VT,followed by the V6 and V3 stages,and the combined influence of shading and waterlogging was greater than that of either single stress. | Baizhao Ren Weizhen Yu Peng Liu Bin Zhao Jiwang Zhang | 2023 | The Crop Journal2023，11，1： | 0 |
| 6 | MFCIS: an automatic leaf-based identification pipeline for plant cultivars using deep learning and persistent homology显示文摘Recognizing plant cultivars reliably and efficiently can benefit plant breeders in terms of property rights protection and innovation of germplasm resources.Although leaf image-based methods have been widely adopted in plant species identification,they seldom have been applied in cultivar identification due to the high similarity of leaves among cultivars.Here,we propose an automatic leaf image-based cultivar identification pipeline called MFCIS(Multi-feature Combined Cultivar Identification System),which combines multiple leaf morphological features collected by persistent homology and a convolutional neural network(CNN).Persistent homology,a multiscale and robust method,was employed to extract the topological signatures of leaf shape,texture,and venation details.A CNN-based algorithm,the Xception network,was fine-tuned for extracting high-level leaf image features.For fruit species,we benchmarked the MFCIS pipeline on a sweet cherry(Prunus avium L.)leaf dataset with>5000 leaf images from 88 varieties or unreleased selections and achieved a mean accuracy of 83.52%.For annual crop species,we applied the MFCIS pipeline to a soybean(Glycine max L.Merr.)leaf dataset with 5000 leaf images of 100 cultivars or elite breeding lines collected at five growth periods.The identification models for each growth period were trained independently,and their results were combined using a score-level fusion strategy.The classification accuracy after score-level fusion was 91.4%,which is much higher than the accuracy when utilizing each growth period independently or mixing all growth periods.To facilitate the adoption of the proposed pipelines,we constructed a user-friendly web service,which is freely available at http://gffzz8f7df6faf74b430ahkxvwxnwfpp5x6qqx.ffgz.tsg.suse.edu.cn. | Yanping Zhang Jing Peng Xiaohui Yuan Lisi Zhang Dongzi Zhu Po Hong Jiawei Wang Qingzhong Liu Weizhen Liu | 2021 | Horticulture Research2021，8，1： | 0 |
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