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| 1 | Apelin inhibits motor neuron apoptosis in the anterior horn following acute spinal cord and sciatic nerve injuries显示文摘Rat models of acute spinal cord injury and sciatic nerve injury were established.Apelin expression in spinal cord tissue was determined.In normal rat spinal cords,apelin expression was visible;however,2 hours post spinal cord injury,apelin expression peaked.Apelin expression increased 1 day post ligation of the sciatic nerve compared with normal rat spinal cords,and peaked at 3 days.Apelin expression was greater in the posterior horn compared with the anterior horn at each time point when compared with the normal group.The onset of neuronal apoptosis was significantly delayed following injection of apelin protein at the stump of the sciatic nerve,and the number of apoptotic cells after injury was reduced when compared with normal spinal cords.Our results indicate that apelin is expressed in the normal spinal cord and central nervous system after peripheral nerve injury.Apelin protein can reduce motor neuron apoptosis in the spinal cord anterior horn and delay the onset of apoptosis. | Zhiyue Li Weiguo Wang Qun Zhao Weiquan Ning Bin Yang Suling Zhang Siyin Feng | 2011 | Neural Regeneration Research2011，6，20： | 2 |
| 2 | Kinetic Determination of Ultratrace Amounts of Ascorbic Acid with Spectrofluorimetric Detection显示文摘 | Suling Feng Xiaolan Chen Jing Fan Guien Zhang Juhui Jiang Xinjun Wei | 1998 | Analytical Letters1998，，3： | 1 |
| 3 | Segment-sliding reconstruction of pulsed radar echoes with sub-Nyquist sampling显示文摘It has been shown that analog-to-information conversion(AIC) is an efficient scheme to perform sub-Nyquist sampling of pulsed radar echoes. However, it is often impractical, if not infeasible, to reconstruct full-range Nyquist samples because of huge storage and computational load requirements. Based on the analyses of AIC measurement system, this paper develops a novel segment-sliding reconstruction(Seg SR) scheme to effectively reconstruct the Nyquist samples. The Seg SR performs segment-by-segment reconstruction in a sliding mode and can be implemented in real time. An important characteristic that distinguishes the proposed Seg SR from existing methods is that the measurement matrix in each segment satisfies the restricted isometry property(RIP) condition. Partial support in the previous segment can be incorporated into the estimation of the Nyquist samples in the current segment. The effect of interference introduced from adjacent segments is theoretically analyzed, and it is revealed that the interference consists of two interference levels with different impacts to the signal reconstruction performance. With these observations, a two-step orthogonal matching pursuit(OMP)procedure is proposed for segment reconstruction, which takes into account different interference levels and partially known support of the previous segment. The proposed Seg SR scheme achieves near-optimal reconstruction performance with a significant reduction of computational loads and storage requirements. Theoretical analyses and simulations verify its effectiveness. | Suling ZHANG Feng XI Shengyao CHEN Yimin Daniel ZHANG Zhong LIU | 2016 | Science China Earth Sciences2016，59，12： | 1 |
| 4 | Determination of proteins at nanograrn levels with bordeaux red based on the enhancement of resonance light scattering显示文摘 | FENG Suling PAN Zihong FAN Jing | 2006 | Spectroehimica Acta Part A2006，64，3： | 1 |
| 5 | Non-equilibrium determination of metoclopramide and tetracaine hydrochloride by sequential injection spectrophotometry显示文摘 | FAN Jing WANG Aijun FENG Suling | 2005 | Talanta2005，66，： | 1 |
| 6 | Study on catalytic fluorimetric determination of trace manganese显示文摘 | Guien Zhang Dingxi Cheng Suling Feng | 1993 | Talanta1993，40，7： | 1 |
| 7 | An integrative drug repositioning framework discovered a potential therapeutic agent targeting COVID-19显示文摘The global spread of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)requires an urgent need to find effective therapeutics for the treatment of coronavirus disease 2019(COVID-19).In this study,we developed an integrative drug repositioning framework,which fully takes advantage of machine learning and statistical analysis approaches to systematically integrate and mine large-scale knowledge graph,literature and transcriptome data to discover the potential drug candidates against SARS-CoV-2.Our in silico screening followed by wet-lab validation indicated that a poly-ADP-ribose polymerase 1(PARP1)inhibitor,CVL218,currently in Phase I clinical trial,may be repurposed to treat COVID-19.Our in vitro assays revealed that CVL218 can exhibit effective inhibitory activity against SARS-CoV-2 replication without obvious cytopathic effect.In addition,we showed that CVL218 can interact with the nucleocapsid(N)protein of SARS-CoV-2 and is able to suppress the LPS-induced production of several inflammatory cytokines that are highly relevant to the prevention of immunopathology induced by SARS-CoV-2 infection. | Yiyue Ge Tingzhong Tian Suling Huang Fangping Wan Jingxin Li Shuya Li Xiaoting Wang Hui Yang Lixiang Hong Nian Wu Enming Yuan Yunan Luo Lili Cheng Chengliang Hu Yipin Lei Hantao Shu Xiaolong Feng Ziyuan Jiang Yunfu Wu Ying Chi Xiling Guo Lunbiao Cui Liang Xiao Zeng Li Chunhao Yang Zehong Miao Ligong Chen Haitao Li Hainian Zeng Dan Zhao Fengcai Zhu Xiaokun Shen Jianyang Zeng | 2021 | Signal Transduction and Targeted Therapy2021，6，5： | 0 |
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