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| 1 | Global and Local Indicator of Spatial Association Between Points and Polygons: A Study of and Use Change 显示文摘 | Guo Luo Du Shihong Haining R | 2013 | International Journal of Applied Earth Ob- servation and Geoinformation2013，21，： | 1 |
| 2 | Acetylproteomics analyses reveal critical features of lysine-ε-acetylation in Arabidopsis and a role of 14-3-3 protein acetylation in alkaline response显示文摘Lysine-ε-acetylation(Kac)is a post-translational modification(PTM)that is critical for metabolic regulation and cell signaling in mammals.However,its prevalence and importance in plants remain to be determined.Employing high-resolution tandem mass spectrometry,we analyzed protein lysine acetylation in five representative Arabidopsis organs with 2~3 biological replicates per organ.A total of 2887 Kac proteins and 5929 Kac sites were identified.This comprehensive catalog allows us to analyze proteome-wide features of lysine acetylation.We found that Kac proteins tend to be more uniformly expressed in different organs,and the acetylation status exhibits little correlation with the gene expression level,indicating that acetylation is unlikely caused by stochastic processes.Kac preferentially targets evolutionarily conserved proteins and lysine residues,but only a small percentage of Kac proteins are orthologous between rat and Arabidopsis.A large portion of Kac proteins overlap with proteins modified by other PTMs including ubiquitination,SUMOylation and phosphorylation.Although acetylation,ubiquitination and SUMOylation all modify lysine residues,our analyses show that they rarely target the same sites.In addition,we found that“reader”proteins for acetylation and phosphorylation,i.e.,bromodomain-containing proteins and GRF(General Regulatory Factor)/14-3-3 proteins,are intensively modified by the two PTMs,suggesting that they are main crosstalk nodes between acetylation and phosphorylation signaling.Analyses of GRF6/14-3-3λreveal that the Kac level of GRF6 is decreased under alkaline stress,suggesting that acetylation represses plant alkaline response.Indeed,K56ac of GRF6 inhibits its binding to and subsequent activation of the plasma membrane H+-ATPase AHA2,leading to hypersensitivity to alkaline stress.These results provide valuable resources for protein acetylation studies in plants and reveal that protein acetylation suppresses phosphorylation output by acetylating GRF/14-3-3 proteins. | Jianfei Guo Xiaoqiang Chai Yuchao Mei Jiamu Du Haining Du Huazhong Shi Jian-Kang Zhu Heng Zhang | 2022 | Stress Biology2022，2，1： | 1 |
| 3 | Distributed Cooperative Secondary Voltage Control in an Unbalanced Microgrid显示文摘The negative-sequence reactive power-conductance(Q^(−)-G) droop control strategy is a conventional method to compensate for the output unbalanced voltages in an islanded MG.Nevertheless, the conflict between unbalanced voltage compensation and negative-sequence reactive power sharing, caused bythe impedance mismatching of distribution lines and distributedgenerators, has not been solved only by Q^(−)-G droop control.In this paper, a distributed cooperative secondary unbalancedvoltage control strategy is proposed to decrease the outputvoltage unbalance factor (VUF) of each droop-controlled DG,as well as to further enhance the negative-sequence reactivepower sharing effectiveness among DGs by properly shiftingup and down the Q^(−)-G droop characteristics of each DG.An algorithm for adaptive VUF weight coefficient is proposedto better suppress VUF under severe imbalance conditions.Furthermore, a negative-sequence small-signal model of an MGunder an unbalanced condition, considering the communicationdelay time of the proposed SUVC, is established to analyze thesystem’s stability and transient performance under the influenceof some critical parameters. Finally, the effectiveness of theproposed strategy is validated by the simulation results froma real-time emulator of StarSim HIL. | Xiangzhen Yang Haixi Zhao Mengke Duan Yan Du Haining Wang Jian Zhang | 2024 | CSEE Journal of Power and Energy Systems2024，10，1： | 0 |
| 4 | Polystyrene nanoplastics induce glycolipid metabolism disorder via NF-κB and MAPK signaling pathway in mice显示文摘Nanoplastics-induced developmental and reproductive toxicity,neurotoxicity and immunotoxicity are a focus of widespread attention.However,the effects of nanoplastics(NPs)on glycolipid metabolism and the precise underlying mechanisms are unclear at present.Here,we showed that oral administration of polystyrene nanoparticles(PS-NPs)disrupts glycolipid metabolism,with reactive oxygen species(ROS)identified as a potential key signaling molecule.After PS-NPs treatment,excessive production of ROS induced the infammatory response and activated the antioxidant pathway through nuclear factor-erythroid factor 2-related factor 2.The activation of nuclear factor-κB(NFκB)signaling pathway induced the phosphorylation of the mitogen-activated protein kinases(MAPK)signaling pathway,which induced the activation of extracellular regulated kinases(ERK)and p38.Constitutive activation of the MAPK signaling proteins induced high continued phosphorylation of insulin receptor substrate-1,in turn,leading to decreased protein kinase B(Akt)activity,which weakened the sensitivity of liver cells to insulin signals and induced insulin resistance.In parallel,phosphorylation of Akt led to loss of control of Fo XO1,a key gene of gluconeogenesis,activating transcription of glucose-6-phosphatase(G6PC)and phosphoenolpyruvate carboxykinase(PEPCK)in a manner dependent on PGC1α.Moreover,the activated ERK promoted lipid accumulation through ERK-PPARγcascades.Therefore,sterol regulatory element-binding protein-1 and levels of its downstream lipogenic enzymes,ACC-1,were up-regulated.Upon treatment with the antioxidant resveratrol,PS-NPs-induced glucose and lipid metabolic disorders were improved by inhibiting ROS-induced activation of NFκB and MAPK signaling pathway in mice.Based on above,PS-NPs exposure disrupts glycolipid metabolism in mice,with ROS identified as a potential key signaling molecule. | Xingpei Fan Xiaoyan Li Jiaxin Li Yuxia Zhang Xiangjuan Wei Hailong Hu Boya Zhang Haining Du Meimei Zhao Ruijiao Zhu Daqian Yang Yuri Oh Ning Gu | 2024 | Journal of Environmental Sciences2024，，3： | 0 |
| 5 | Polo样激酶1通过PLK1-Myc反馈激活信号环路稳定癌蛋白Myc并促进肿瘤细胞生长存活显示文摘癌基因MYCN(编码N-Myc)在癌症中出现扩增突变预示不良预后和复发耐药。众多细胞水平和模式动物研究表明,干预癌蛋白N-Myc的表达或活性能够显著甚至完全抑制肿瘤发生和发展。 | Daibiao Xiao Ming Yue Hexiu Su Ping Ren Jue Jiang Feng Li Yufeng Hu Haining Du Hudan Liu 卿国良 | 2017 | 科学新闻2017，19，4： | 0 |
| 6 | Estimation of Stellar Atmospheric Parameters from LAMOST DR8 Low-resolution Spectra with 20 ≤ S/N < 30显示文摘The accuracy of the estimated stellar atmospheric parameter evidently decreases with the decreasing of spectral signal-to-noise ratio(S/N)and there are a huge amount of this kind observations,especially in case of S/N<30.Therefore,it is helpful to improve the parameter estimation performance for these spectra and this work studied the(T_(eff),log g,[Fe/H])estimation problem for LAMOST DR8 low-resolution spectra with 20≤S/N<30.We proposed a data-driven method based on machine learning techniques.First,this scheme detected stellar atmospheric parameter-sensitive features from spectra by the Least Absolute Shrinkage and Selection Operator(LASSO),rejected ineffective data components and irrelevant data.Second,a Multi-layer Perceptron(MLP)method was used to estimate stellar atmospheric parameters from the LASSO features.Finally,the performance of the LASSO-MLP was evaluated by computing and analyzing the consistency between its estimation and the reference from the Apache Point Observatory Galactic Evolution Experiment high-resolution spectra.Experiments show that the Mean Absolute Errors of T_(eff),log g,[Fe/H]are reduced from the LASP(137.6 K,0.195,0.091 dex)to LASSO-MLP(84.32 K,0.137,0.063 dex),which indicate evident improvements on stellar atmospheric parameter estimation.In addition,this work estimated the stellar atmospheric parameters for 1,162,760 lowresolution spectra with 20≤S/N<30 from LAMOST DR8 using LASSO-MLP,and released the estimation catalog,learned model,experimental code,trained model,training data and test data for scientific exploration and algorithm study. | Xiangru Li Zhu Wang Si Zeng Caixiu Liao Bing Du Xiao Kong Haining Li | 2022 | Research in Astronomy and Astrophysics2022，22，6： | 0 |
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