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| 1 | Magnetic PANI con- trolled by morphology with enhanced microwave absorbing property显示文摘 | Yanjun Li Li Ma Mengyu Gan | 2015 | Materials Letters2015，140，： | 1 |
| 2 | Global identification of genes associated with xylan biosynthesis in cotton fiber显示文摘Background:Mature cotton fiber secondary cell wall comprises largely of cellulose(>90%)and small amounts of xylan and lignin.Little is known about the cotton fiber xylan biosynthesis by far.Results:To comprehensively survey xylan biosynthetic genes in cotton fiber,we identified five IRX9,five IRX10,one IRX14,six IRX15,two FRA8,one PARVUS,eight GUX,four GXM,two RWA,two AXY9,13 TBL genes by using phylogenetic analysis coupled with expression profile analysis and co-expression analyses.In addition,we also identified two GT61 members,two GT47 members,and two DUF579 family members whose homologs in Arabidopsis were not functionally characterized.These 55 genes were regarded as the most probable genes to be involved in fiber xylan biosynthesis.Further complementation analysis indicated that one IRX10 like and two FRA8 related genes were able to partially recover the irregular xylem phenotype conferred by the xylan deficiency in their respective Arabidopsis mutant.We conclude that these genes are functional orthologs of respective genes that are implicated in GX biosynthesis.Conclusion:The list of 55 cotton genes presented here provides not only a solid basis to uncover the biosynthesis of xylan in cotton fiber,but also a genetic resource potentially useful for future studies aiming at fiber improvement via biotechnological approaches. | CHEN Feng GUO Yanjun CHEN Li GAN Xinli LIU Min LI Juan XU Wenliang | 2020 | Journal of Cotton Research2020，3，3： | 1 |
| 3 | Multi-platform omics analysis reveals molecular signature for COVID-19 pathogenesis,prognosis and drug target discovery显示文摘Disease progression prediction and therapeutic drug target discovery for Coronavirus disease 2019(COVID-19)are particularly important,as there is still no effective strategy for severe COVID-19 patient treatment.Herein,we performed multi-platform omics analysis of serial plasma and urine samples collected from patients during the course of COVID-19.Integrative analyses of these omics data revealed several potential therapeutic targets,such as ANXA1 and CLEC3B.Molecular changes in plasma indicated dysregulation of macrophage and suppression of T cell functions in severe patients compared to those in non-severe patients.Further,we chose 25 important molecular signatures as potential biomarkers for the prediction of disease severity.The prediction power was validated using corresponding urine samples and plasma samples from new COVID-19 patient cohort,with AUC reached to 0.904 and 0.988,respectively.In conclusion,our omics data proposed not only potential therapeutic targets,but also biomarkers for understanding the pathogenesis of severe COVID-19. | Yuming Li Guixue Hou Haibo Zhou Yanqun Wang Hein Min Tun Airu Zhu Jingxian Zhao Fei Xiao Shanwen Lin Dongdong Liu Dunrong Zhou Lang Mai Lu Zhang Zhaoyong Zhang Lijun Kuang Jiao Guan Qiushi Chen Liyan Wen Yanjun Zhang Jianfen Zhuo Fang Li Zhen Zhuang Zhao Chen Ling Luo Donglan Liu Chunke Chen Mian Gan Nanshan Zhong Jincun Zhao Yan Ren Yonghao Xu | 2021 | Signal Transduction and Targeted Therapy2021，6，5： | 1 |
| 4 | Magnetic PANI con- trolled by morphology with enhanced microwave absorbing property 显示文摘 | Li Yanjun Ma Li Gan Mengyu | 2015 | Materials Letters2015，140，： | 1 |
| 5 | Molecular phylogeny and divergence time estimates using the mitochondrial genome for the hadal snailfish from the Mariana trench显示文摘Snailfishes are an important component of the hadal fish fauna[1].Based on osteological and other morphological characters,Kido[2]recognized the Cyclopteridae as a sister group to the Liparidae and the superfamily Cottoidea as a sister group to the two families.The close relationship between Liparidae and Cyclopteridae is | Yanjun Shen Wei Dai Zhaoming Gao Guoyong Yan Xiaoni Gan Shunping He | 2017 | Science Bulletin2017，62，16： | 0 |
| 6 | An Objective Approach to Generating Multi-Physics Ensemble Precipitation Forecasts Based on the WRF Model显示文摘Selecting proper parameterization scheme combinations for a particular application is of great interest to the Weather Research and Forecasting(WRF)model users.This study aims to develop an objective method for identifying a set of scheme combinations to form a multi-physics ensemble suitable for short-range precipitation forecasting in the Greater Beijing area.The ensemble is created by using statistical techniques and some heuristics.An initial sample of 90 scheme combinations was first generated by using Latin hypercube sampling(LHS).Then,after several rounds of screening,a final ensemble of 40 combinations were chosen.The ensemble forecasts generated for both the training and verification cases using these combinations were evaluated based on several verification metrics,including threat score(TS),Brier score(BS),relative operating characteristics(ROC),and ranked probability score(RPS).The results show that TS of the final ensemble improved by 9%-33%over that of the initial ensemble.The reliability was improved for rain≤10 mm day^-1,but decreased slightly for rain>10 mm day^-1 due to insufficient samples.The resolution remained about the same.The final ensemble forecasts were better than that generated from randomly sampled scheme combinations.These results suggest that the proposed approach is an effective way to select a multi-physics ensemble for generating accurate and reliable forecasts. | Chenwei SHEN Qingyun DUAN Wei GONG Yanjun GAN Zhenhua DI Chen WANG Shiguang MIAO | 2020 | Journal of Meteorological Research2020，34，3： | 0 |
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