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    题名 作者 年代 出处 被引量
1Does diffusion tensor data reflect pathological changes in the spinal cord with chronic injury?显示文摘Magnetic resonance diffusion tensor imaging has been shown to quantitatively measure the early pathological changes in chronic cervical spondylotic myelopathy.In this study,a novel spongy polyurethane material was implanted in the rat C3–5epidural space to establish a rat model of chronic cervical spondylotic myelopathy.Diffusion tensor data were used to predict pathological changes.Results revealed that the fractional anisotropy value gradually decreased at 4,24,and 72 hours and1 week after injury in rat spinal cord,showing a time-dependent manner.Average diffusion coefficient increased at 72 hours and 1 week after implantation.Hematoxylin-eosin staining and Luxol-fast-blue staining exhibited that the number of neurons in the anterior horn of the spinal cord gray matter and the nerve fiber density of the white matter gradually reduced with prolonged compression time.Neuronal loss was most significant at 1 week after injury.Results verified that the fractional anisotropy value and average diffusion coefficient reflected the degree of pathological change in the site of compression in rat models at various time points after chronic spinal cord compression injury,which potentially has a reference value in the early diagnosis of chronic cervical spondylotic myelopathy.Erjian Lin Houqing Long Guangsheng Li Wanlong Lei 2013Neural Regeneration Research2013,8,36:2
2Meromorphic functions shared two finite sets显示文摘Zhou Houqing 2005(Chinese) Journal of Shaoyang University(Natural Sciences)2005,2,2:1
3Effects of praeruptorin C on blood pressure and expression of phospholamban in spontaneously hypertensive rats 显示文摘Wenjie W Houqing L Liming S 2014Phytomedicine2014,21,3:1
4Assessment of Management Stuff via Grey Clustering显示文摘Cai Houqing Li Zhicheng 2002The Journal of Grey Sysytem2002,,1:1
5Effects of praerup- torin C on blood pressure and expression of phospholamban in spontaneously hypertensive rats 显示文摘Wenjie W Houqing L Liming S 2014Phytomedicine2014,21,3:1
6Mathematical model of Ebola virus infective numbers显示文摘Zhou Houqing Xu Youzhuan 2014J Shaoyang Univ2014,,:1
7Effects of praeruptorin C on blood pressure and expression of phospholamban in spontaneously hypertensive rats显示文摘Wenjie W Houqing L Liming S 2014Phytomedicine2014,21,3:1
8An overview of medical informatics education in China显示文摘Dehua Hu Zhenling Sun Houqing Li 2013International journal of medical informatics2013,82,5:1
9The Effect of IFRS Adoption and Investor Protection on Earnings Quality Around the World显示文摘Houqe N Zijl T V Dunstan K and Karim Waresul A K M 2012International Journal of Accounting2012,47,3:1
10Sirtuinlandlungdisease[J]显示文摘ShiJ MengAM HouQ 药学学报0,,:1
11A new type of low frequency high power terfenol-D underwater acoustical transducer显示文摘MO Xiping ZHU Houqing 2002Acta Acustica2002,88,:1
12Applica tions of Terfenol-D in China显示文摘Zhu Houqing Liu Jianguo Wang Xiurong 1997Journal of Alloys and Compounds1997,258,:1
13利用模拟动态和基因算法混合法优化调强放射治疗射野方向[J]显示文摘HouQ WangJ等 医学物理学0,,:1
14Three-dimensional alteration of cervical anterior spinal artery and anterior radicular artery in rat model of chronic spinal cord compression by micro-CT显示文摘Xing Cheng HouQing Long WenLi Chen JingHui Xu YangLiang Huang FoBao Li 2015Neuroscience Letters2015,,:1
15Citrate exudation induced by aluminum is independent of plasma membrane H + -ATPase activity and coupled with potassium efflux from cluster roots of phosphorus-deficient white lupin显示文摘Houqing Zeng Xumeng Feng Baolan Wang Yiyong Zhu Qirong Shen Guohua Xu 2013Plant and Soil2013,,1:1
16An overview of medical informat- ics education in China显示文摘Dehua Hu Zhenling Sun Houqing Li 2013International journal of medical informatics2013,82,5:1
17A new type of low frequency high power terfenol-D underwater acoustical transducer 显示文摘Mo Xiping Zhu Houqing 2002Acta Acustica United with Acustica2002,88,:1
18DC flashover characteristics of a polymeric insulator in presence of surface charges显示文摘Kumara S Alam S Houq~ I R 2012IEEE Transac- tions on Dielectrics and Electrical Insulation2012,19,3:1
19显示文摘Zhang Hongping Zhu Houqing Du Ting 1997J Alloys Compd1997,,258:1
20Mass spectrometry imaging and single-cell transcriptional profiling reveal the tissue-specific regulation of bioactive ingredient biosynthesis in Taxus leaves显示文摘Taxus leaves provide the raw industrial materials for taxol,a natural antineoplastic drug widely used in the treatment of various cancers.However,the precise distribution,biosynthesis,and transcriptional regulation of taxoids and other active components in Taxus leaves remain unknown.Matrix-assisted laser desorption/ionization–mass spectrometry imaging analysis was used to visualize various secondary metabolites in leaf sections of Taxus mairei,confirming the tissue-specific accumulation of different active metabolites.Single-cell sequencing was used to produce expression profiles of 8846 cells,with a median of 2352 genes per cell.Based on a series of cluster-specific markers,cells were grouped into 15 clusters,suggesting a high degree of cell heterogeneity in T.mairei leaves.Our data were used to create the first Taxus leaf metabolic single-cell atlas and to reveal spatial and temporal expression patterns of several secondary metabolic pathways.According to the cell-type annotation,most taxol biosynthesis genes are expressed mainly in leaf mesophyll cells;phenolic acid and flavonoid biosynthesis genes are highly expressed in leaf epidermal cells(including the stomatal complex and guard cells);and terpenoid and steroid biosynthesis genes are expressed specifically in leaf mesophyll cells.A number of novel and cell-specific transcription factors involved in secondary metabolite biosynthesis were identified,including MYB17,WRKY12,WRKY31,ERF13,GT_2,and bHLH46.Our research establishes the transcriptional landscape of major cell types in T.mairei leaves at a single-cell resolution and provides valuable resources for studying the basic principles of cell-type-specific regulation of secondary metabolism.Xiaori Zhan Tian Qiu Hongshan Zhang Kailin Hou Xueshuang Liang Cheng Chen Zhijing Wang Qicong Wu Xiaojia Wang Xiao-lin Li Mingshuang Wang Shangguo Feng Houqing Zeng Chunna Yu Huizhong Wang Chenjia Shen 2023Plant Communications2023,4,5:0
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