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Differential protein expression in spinal cord tissue of a rabbit model of spinal cordischemia/reperfusion injury 被引量:4
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作者 Qi Gao yonghui liang +8 位作者 Xiaoyu Yang Guifeng Liu Xiaoxue Li Benqing Zhu Jian Liu Maoguang Yang Weiwei Xia Jian Dong Jianhang Jiao 《Neural Regeneration Research》 SCIE CAS CSCD 2012年第20期1534-1539,共6页
New Zealand rabbits were randomly divided into an ischemia group (occlusion of the abdominal aorta for 60 minutes), an ischemia-reperfusion group (occlusion of the abdominal aorta for 60 minutes followed by 48 hour... New Zealand rabbits were randomly divided into an ischemia group (occlusion of the abdominal aorta for 60 minutes), an ischemia-reperfusion group (occlusion of the abdominal aorta for 60 minutes followed by 48 hours of reperfusion) and a sham-surgery group. Two-dimensional gel electrophoresis detected 49 differentially expressed proteins in spinal cord tissue from the ischemia and ischemia/ reperfusion groups and 23 of them were identified by mass spectrometry. In the ischemia group, the expression of eight proteins was up regulated, and that of the remaining four proteins was down regulated. In the ischemia/reperfusion group, the expression of four proteins was up regulated, and that of two proteins was down regulated. In the sham-surgery group, only one protein was detected. In the ischemia and ischemia/reperfusion groups, four proteins overlapped between groups with the same differential expression, including three that were up regulated and one down regulated. These proteins were related to energy metabolism, cell defense, inflammatory mechanism and cell signaling. 展开更多
关键词 spinal cord injury ISCHEMIA/REPERFUSION two-dimensional gel electrophoresis mass spectrometry RABBIT PROTEOMICS neural regeneration
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Species richness is not a good predictor for above-ground biomass in a warm temperate deciduous broadleaf forest
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作者 Chunmei He Yushan Li +8 位作者 Xiaoxia Dai Na Liu Fangfang Wu Jiangbo Yan Meiping Gao yonghui liang Zuoqiang Yuan Zhanqing Hao Qiulong Yin 《Ecological Processes》 2025年第1期80-90,共11页
Background Biomass is the result of long-term production and metabolism in forest ecosystems and is an important indicator of the carbon storage capacity of forests.Although there is increasing empirical evidence supp... Background Biomass is the result of long-term production and metabolism in forest ecosystems and is an important indicator of the carbon storage capacity of forests.Although there is increasing empirical evidence supporting the positive impact of biodiversity on forest productivity and biomass,there is still uncertainty about the relative importance of tree diversity in determining carbon storage compared to other factors such as environmental conditions,functional characteristics and stand structure,especially in complex forest ecosystems.Methods In this study,based on dataset from a 25-ha forest dynamics monitoring plot,we investigated the effects of tree diversity,environmental variables,functional traits and stand structural attributes on above-ground biomass(AGB).Spearman correlation coefficients were used to analyze the correlations between AGB and the variables.The relative importance of these factors in influencing AGB variation was assessed using a random forest model.Structural equation model was used to determine the direct or indirect effects of each factor on AGB.Results The results showed a negative,though not significant,correlation between species richness and AGB.There was a significant positive correlation between leaf dry matter content and leaf tissue density,implying that more leaf photosynthetic products were utilized for dry matter accumulation.The variation in AGB was mainly explained by the maximum diameter at breast height and the coefficients of variation of diameter at breast height,suggesting that large diameter individuals contribute disproportionately to AGB.In addition,AGB was also influenced by topographic factors(i.e.,altitude and slope),while there was no significant correlation with soil variables.Conclusions This study reflects the response of AGB to different influencing factors.Our study emphasizes that stand structure attributes may be more suitable as predictors of forest AGB than species richness. 展开更多
关键词 Above-ground biomass Stand structure Functional trait BIODIVERSITY Selection effect Qinling Huangguan
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