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Effects of Organic Fertilizers Made from Distiller's Grains on the Growth and Development of Flue-cured Tobacco 被引量:1
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作者 Sheng JIANG Miao YANG +8 位作者 Fei XIONG Yonghui ZHANG Chun XIA jiao guan Kefan CAI Juntao HE Yuangai ZHANG Fei WANG Fuzhao NIAN 《Agricultural Biotechnology》 CAS 2018年第3期158-160,164,共4页
Pot experiments were conducted to study the effects of different organic fertilizers made from distiller's grains on the physiological characteristics and growth of flue-cured tobacco. The results showed that the agr... Pot experiments were conducted to study the effects of different organic fertilizers made from distiller's grains on the physiological characteristics and growth of flue-cured tobacco. The results showed that the agronomic traits and biomass of flue-cured tobacco in the three treatments were higher than that of the control group,and the mixed application of different organic fertilizers made from distiller's grains and compound fertilizer could promote the growth and development of flue-cured tobacco significantly. 展开更多
关键词 Organic fertilizers made from distiller's grains Agronomic characters BIOMASS Chlorophyll content
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Multi-platform omics analysis reveals molecular signature for COVID-19 pathogenesis,prognosis and drug target discovery 被引量:1
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作者 Yuming Li Guixue Hou +28 位作者 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 《Signal Transduction and Targeted Therapy》 SCIE CSCD 2021年第5期1535-1545,共11页
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.Herei... 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. 展开更多
关键词 PATHOGENESIS URINE DRUG
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