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| 1 | Malate transported from chloroplast to mitochondrion triggers production of ROS and PCD in Arabidopsis thaliana显示文摘规划房间死亡(PCD ) 是一个基本生物过程。在马赛克死亡 1 的缺乏(MOD1 ) ,质体局部性的 enoyl-ACP reductase,导致反应的氧种类(ROS ) 和 PCD 的累积,它能被 mitochondrial 建筑群压制我变化,从叶绿体显示一个信号到线粒体。然而,这个信号尚待被阐明。在这研究,通过克隆并且分析一系列 mod1 suppressors,我们揭示调整 mitochondrial ROS 和扳机 PCD 的产生的一条全面细胞器通讯小径。我们证明在 PLASTIDIAL NAD 依赖的 MALATE 脱氢酶(plNAD-MDH ) 的变化, chloroplastic DICARBOXYLATE TRANSPORTER 1 (DiT1 ) 并且(mMDH1 ) MITOCHONDRIAL MALATE 脱氢酶 1 能各在 mod1 救 ROS 累积和 PCD 显型,经由 malate 梭从叶绿体表明直接通讯到线粒体。进一步的研究证明这些元素在不同光周期条件下面在氧化还原作用动态平衡和植物生长起关键作用。而且,我们表明 ROS 水平和 PCD 显著地在房间,它能是戏剧性地稀释了由的对待 malate 的 HeLa 被增加人的基因 MDH2 击倒, Arabidopsis mMDH1 的 ortholog。这些结果揭开在植物和动物系统的一条保存导致 malate 的 PCD 小径,革命化我们在细胞器之间的通讯的理解。 | Yannan Zhao Lilan Luo Jiesi Xu Peiyong Xin Hongyan Guo Jian Wu Lin Bai Guodong Wang Jinfang Chu Jianru Zuo Hong Yu Xun Huang Jiayang Li | 2018 | Cell Research2018，28，4： | 24 |
| 2 | Retrospective and perspective of rice breeding in China显示文摘Breeding is the art and science of selecting and changing crop traits for the benefit of human beings. For several decades, tremendous efforts have been made by Chinese scientists in rice breeding in improving grain yield, nutrition quality, and environmental performance, achieving substantial progress for global food security. Several generations of crop breeding technologies have been developed, for example,selection of better performance in the field among variants(conventional breeding), application of molecular markers for precise selection(molecular marker assisted breeding), and development of molecular design(molecular breeding by rational design). In this review, we briefly summarize the advances in conventional breeding, functional genomics for genes and networks in rice that regulate important agronomic traits, and molecular breeding in China with focuses on high yield, good quality,stress tolerance, and high nutrient-use efficiency. These findings have paved a new avenue for rational design of crops to develop ideal varieties with super performance and productivity. | Shiwei Bai Hong Yu Bing Wang Jiayang Li | 2018 | Journal of Genetics and Genomics2018，45，11： | 16 |
| 3 | Regulation of mitochondrial NAD pool via NAD^+ transporter 2 is essential for matrix NADH homeostasis and ROS production in Arabidopsis显示文摘Reactive oxygen species(ROS) play a crucial role in numerous biological processes in plants, including development, responses to environmental stimuli, and programmed cell death(PCD). Deficiency in MOSAIC DEATH 1(MOD1), a plastid-localized enoyl-ACP reductase essential for de novo fatty acid biosynthesis in Arabidopsis thaliana, leads to the increased malate export from chloroplasts to mitochondria, and the subsequent accumulation of mitochondria-generated ROS and PCD. In this study, we report the identification and characterization of a mod1 suppressor, som592. SOM592 encodes mitochondrion-localized NAD^+ transporter 2(NDT2). We show that the mitochondrial NAD pool is elevated in the mod1 mutant. The som592 mutation fully suppressed mitochondrial NADH hyper-accumulation, ROS production, and PCD in the mod1 mutant, indicating a causal relationship between mitochondrial NAD accumulation and ROS/PCD phenotypes. We also show that in wild-type plants, the mitochondrial NAD+uptake is involved in the regulation of ROS production in response to continuous photoperiod. Elevation of the alternative respiration pathway can suppress ROS accumulation and PCD in mod1, but leads to growth restriction. These findings uncover a regulatory mechanism for mitochondrial ROS production via NADH homeostasis in Arabidopsis thaliana that is likely important for growth regulation in response to altered photoperiod. | Lilan Luo Yajun He Yannan Zhao Qian Xu Jian Wu Haiyan Ma Hongyan Guo Lin Bai Jianru Zuo Jian-Min Zhou Hong Yu Jiayang Li | 2019 | Science China(Life Sciences)2019，62，8： | 5 |
| 4 | A Novel Quarter-Circular Arc Multi-Direction Piezoelectric VEH and Its Theoretical Model显示文摘A quarter-circular arc piezoelectric Vibration energy harvester(VEH) based on nonlinear geometry is proposed with both bending moment and torque deformation mode, so it can effectively absorb multi-directional vibration at the same resonance frequency. The theoretical model of quarter-circular arc piezoelectric VEH is established to study the resonance frequency and the output voltage. In order to demonstrate multi-directional performance of the quarter-circular arc VEH, the stress distribution is compared with that of the traditional piezoelectric VEH in multi-direction vibration, and the output voltage of the circular arc piezoelectric VEH are relatively increased 267.26% in X-direction, 463.18% in Ydirection, and 17.24% in Z-direction. The external load is equipped in circuit to measure output power, whose matching resistance is around 21 k?, and the maximum output powers are 7.57 m W in X-direction, 2.39 m W in Y-direction, and 9.93 m W in Z-direction. | ZHU Yucheng HU Jiayang BAI Yunshan ZHAO Jiang JI Xincun WANG Debo | 2021 | Chinese Journal of Electronics2021，30，1： | 1 |
| 5 | Liver dysfunction on admission worsens clinical manifestations and outcomes of coronavirus disease 2019显示文摘Background:Liver dysfunction was common in coronavirus disease 2019(COVID-19),but its association with clinical features and poor prognosis has not been fully delineated.Our study aimed to determine the role of liver dysfunction in COVID-19 and understand the predictors for worse outcomes in patients with liver injury.Methods:We conducted this multicenter,retrospective study in five designated hospitals for COVID-19 manage-ment.Laboratory-confirmed COVID-19 patients were enrolled and classified into the normal live function group and liver dysfunction group according to liver enzymes,bilirubin,and albumin on admission,respectively.Data of baseline,clinical manifestations,and outcomes were collected and compared in the paired groups.Results:Of the 649 included COVID-19 patients,200(30.8%),69(10.6%),and 267(41.1%)patients had elevated liver enzymes,increased bilirubin,and low-level albumin,respectively.Fever,cough,and dyspnea were the most common symptoms and showed an increased proportion in the liver dysfunction group.Compared with patients in the normal liver function group,patients with liver dysfunction manifested decreased lymphocytes,higher level of leukocytes,neutrophils,inflammatory indicators,and cytokines,as well as more severe impairment in kidney function and myocardium.They were more likely to show bilateral involvement and more pulmonary lobes involved according to chest images.With increased proportion of patients who developed severe/critical conditions and needed mechanical ventilation and systemic glucocorticoid therapy,patients with liver dysfunc-tion on admission showed significantly higher in-hospital mortality.Moreover,cardiac troponin I≥1.5 ng/mL was identified as an independent mortality predictor in the elevated liver enzymes group.Conclusion:Patients with liver dysfunction on admission had worse clinical manifestation,and resulted in higher rate of severe/critical type,receiving mechanical ventilation and in-hospital mortality. | Fangying Lu Rong Chen Kandi Xu Jie Huang Dexiang Yang Tao Bai Yusang Xie Yun Ling Kui Liu Wei Du Jiayang Yan Huihuang Lin Jian Li Yun Feng Min Zhou Yi Guo | 2023 | Chinese Medical Journal Pulmonary and Critical Care Medicine2023，1，3： | 0 |
| 6 | Deep graph learning for spatially-varying indoor lighting prediction显示文摘Lighting prediction from a single image is becoming increasingly important in many vision and augmented reality(AR)applications in which shading and shadow consistency between virtual and real objects should be guaranteed.However,this is a notoriously ill-posed problem,especially for indoor scenarios,because of the complexity of indoor luminaires and the limited information involved in 2D images.In this paper,we propose a graph learning-based framework for indoor lighting estimation.The core is a new lighting model(DSGLight)based on depth-augmented spherical Gaussians(SGs)and a graph convolutional network(GCN)that infers the new lighting representation from a single low dynamic range(LDR)image of limited field-of-view.Our lighting model builds 128 evenly distributed SGs over the indoor panorama,where each SG encodes the lighting and the depth around that node.The proposed GCN then learns the mapping from the input image to DSGLight.Compared with existing lighting models,our DSGLight encodes both direct lighting and indirect environmental lighting more faithfully and compactly.It also makes network training and inference more stable.The estimated depth distribution enables temporally stable shading and shadows under spatially-varying lighting.Through thorough experiments,we show that our method obviously outperforms existing methods both qualitatively and quantitatively. | Jiayang BAI Jie GUO Chenchen WANG Zhenyu CHEN Zhen HE Shan YANG Piaopiao YU Yan ZHANG Yanwen GUO | 2023 | Science China(Information Sciences)2023，66，3： | 0 |
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