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| 1 | Structure-guided analysis of Arabidopsis JASMONATE-INDUCED OXYGENASE(JOX)2 reveals key residues for recognition of jasmonic acid substrate by plant JOXs显示文摘The jasmonic acid(JA)signaling pathway is used by plants to control wound responses.The persistent accumulation of JA inhibits plant growth,and the hydroxylation of JA to 12-hydroxy-JA by JASMONATE-INDUCED OXYGENASEs(JOXs,also named jasmonic acid oxidases)is therefore vital for plant growth,while structural details of JA recognition by JOXs are unknown.Here,we present the 2.65Åresolution X-ray crystal structure of Arabidopsis JOX2 in complex with its substrate JA and its co-substrates 2-oxoglutarate and Fe(Ⅱ).JOX2 contains a distorted double-stranded p helix(DSBH)core flanked by a helices and loops.JA is bound in the narrow substrate pocket by hydrogen bonds with the arginine triad R225,R350,and R354 and by hydrophobic interactions mainly with the phenylalanine triad F157,F317,and F346.The most critical residues for JA binding are F157 and R225,both from the DSBH core,which interact with the cyclopentane ring of JA.The spatial distribution of critical residues for JA binding and the shape of the substrate-binding pocket together define the substrate selectivity of the JOXs.Sequence alignment shows that these critical residues are conserved among JOXs from higher plants.Collectively,our study provides insights into the mechanism by which higher plants hydroxylate the hormone JA. | Xin Zhang Dongli Wang Joyce Elberse Linlu Qi Wei Shi You-Liang Peng Robert C.Schuurink Guido Van den Ackerveken Junfeng Liu | 2021 | Molecular Plant2021，14，5： | 2 |
| 2 | Comprehensive Evaluation and Forecast Analysis of Control System Quality in ATC Operation显示文摘 | Zongping Lv Linlu Wang Zhaoning Zhang | 2012 | Journal of Convergence Information Technology2012，，7： | 1 |
| 3 | Comparative Secretome Analysis of Magnaporthe oryzae Identified Proteins Involved in Virulence and Cell Wall Integrity显示文摘Plant fungal pathogens secrete numerous proteins into the apoplast at the plant–fungus contact sites to facilitate colonization.However,only a few secretory proteins were functionally characterized in Magnaporthe oryzae,the fungal pathogen causing rice blast disease worldwide.Asparagine-linked glycosylation 3(Alg3)is an a-1,3-mannosyltransferase functioning in the Nglycan synthesis of N-glycosylated secretory proteins.Fungal pathogenicity and cell wall integrity are impaired inΔalg3 mutants,but the secreted proteins affected inΔalg3 mutants are largely unknown.In this study,we compared the secretomes of the wild-type strain and theΔalg3 mutant and identified 51 proteins that require Alg3 for proper secretion.These proteins were predicted to be involved in metabolic processes,interspecies interactions,cell wall organization,and response to chemicals.Nine proteins were selected for further validation.We found that these proteins were localized at the apoplastic region surrounding the fungal infection hyphae.Moreover,the Nglycosylation of these proteins was significantly changed in theΔalg3 mutant,leading to the decreased protein secretion and abnormal protein localization.Furthermore,we tested the biological functions of two genes,INV1(encoding invertase 1,a secreted invertase)and AMCase(encoding acid mammalian chinitase,a secreted chitinase).The fungal virulence was significantly reduced,and the cell wall integrity was altered in theΔinv1 andΔamcase mutant strains.Moreover,the N-glycosylation was essential for the function and secretion of AMCase.Taken together,our study provides new insight into the role of N-glycosylated secretory proteins in fungal virulence and cell wall integrity. | Ning Liu Linlu Qi Manna Huang Deng Chen Changfa Yin Yiying Zhang Xingbin Wang Guixin Yuan Rui-Jin Wang Jun Yang You-Liang Peng Xunli Lu | 2022 | Genomics, Proteomics & Bioinformatics2022，20，4： | 0 |
| 4 | Improving the band alignment at PtSe_(2)grain boundaries with selective adsorption of TCNQ显示文摘Grain boundaries in two-dimensional(2D)semiconductors generally induce distorted band alignment and interfacial charge,which impair their electronic properties for device applications.Here,we report the improvement of band alignment at the grain boundaries of PtSe_(2),a 2D semiconductor,with selective adsorption of a presentative organic acceptor,tetracyanoquinodimethane(TCNQ).TCNQ molecules show selective adsorption at the PtSe_(2)grain boundary with strong interfacial charge.The adsorption of TCNQ distinctly improves the band alignment at the PtSe_(2)grain boundaries.With the charge transfer between the grain boundary and TCNQ,the local charge is inhibited,and the band bending at the grain boundary is suppressed,as revealed by the scanning tunneling microscopy and spectroscopy(STM/S)results.Our finding provides an effective method for the advancement of the band alignment at the grain boundary by functional molecules,improving the electronic properties of 2D semiconductors for their future applications. | Yanhui Hou Ziqiang Xu Yan Shao Linlu Wu Zhongliu Liu Genyu Hu Wei Ji Jingsi Qiao Xu Wu Hong-Jun Gao Yeliang Wang | 2023 | Nano Research2023，16，2： | 0 |
| 5 | Touchable cell biophysics property recognition platforms enable multifunctional blood smart health care显示文摘As a crucial biophysical property,red blood cell(RBC)deformability is pathologically altered in numerous disease states,and biochemical and structural changes occur over time in stored samples of otherwise normal RBCs.However,there is still a gap in applying it further to point-of-care blood devices due to the large external equipment(high-resolution microscope and microfluidic pump),associated operational difficulties,and professional analysis.Herein,we revolutionarily propose a smart optofluidic system to provide a differential diagnosis for blood testing via precise cell biophysics property recognition both mechanically and morphologically.Deformation of the RBC population is caused by pressing the hydrogel via an integrated mechanical transfer device.The biophysical properties of the cell population are obtained by the designed smartphone algorithm.Artificial intelligence-based modeling of cell biophysics properties related to blood diseases and quality was developed for online testing.We currently achieve 100%diagnostic accuracy for five typical clinical blood diseases(90 megaloblastic anemia,78 myelofibrosis,84 iron deficiency anemia,48 thrombotic thrombocytopenic purpura,and 48 thalassemias)via real-world prospective implementation;furthermore,personalized blood quality(for transfusion in cardiac surgery)monitoring is achieved with an accuracy of 96.9%.This work suggests a potential basis for next-generation blood smart health care devices. | Longfei Chen Yantong Liu Hongshan Xu Linlu Ma Yifan Wang Le Yu Fang Wang Jiaomeng Zhu Xuejia Hu Kezhen Yi Yi Yang Hui Shen Fuling Zhou Xiaoqi Gao Yanxiang Cheng Long Bai Yongwei Duan Fubing Wang Yimin Zhu | 2021 | Microsystems & Nanoengineering2021，7，6： | 0 |
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