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Activation of catalase activity by a peroxisome-localized small heat shock protein Hsp17.6CⅡ 被引量:7
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作者 guannan li jing li +1 位作者 rong hao yan guo 《Journal of Genetics and Genomics》 SCIE CAS CSCD 2017年第8期395-404,共10页
Plant catalases are important antioxidant enzymes and are indispensable for plant to cope with adverse environmental stresses. However, little is known how catalase activity is regulated especially at an organelle lev... Plant catalases are important antioxidant enzymes and are indispensable for plant to cope with adverse environmental stresses. However, little is known how catalase activity is regulated especially at an organelle level. In this study, we identified that small heat shock protein Hsp17.6Cll (AT5GI2020) in- teracts with and activates catalases in the peroxisome of Arabidopsis thaliana. Although Hsp17.6Cll is classified into the cytosol-located small heat shock protein subfamily, we found that Hsp17.6ClI is located in the peroxisome. Moreover, Hsp17.6ClI contains a novel non-canonical peroxisome targeting signal 1 (PTS1), QKL, 16 amino acids upstream from the C-terminus. The QKL signal peptide can partially locate GFP to peroxisome, and mutations in the tripeptide lead to the abolishment of this activity. In vitro catalase activity assay and holdase activity assay showed that Hsp17.6ClI increases CAT2 activity and prevents it from thermal aggregation. These results indicate that Hspl7.6ClI is a peroxisome-localized catalase chaperone. Overexpression of HsplK6II conferred enhanced catalase activity and tolerance to abiotic stresses in grabidopsis. Interestingly, overexpression of HspI7.6CII in catalase-deficient mutants, ncal-3 and cat2 cat3, failed to rescue their stress-sensitive phenotypes and catalase activity, suggesting that HsplT.6Cll-mediated stress response is dependent on NCA1 and catalase activity. Overall, we identified a novel peroxisome-located catalase chaperone that is involved in plant abiotic stress resis- tance by activating catalase activity. 展开更多
关键词 ChaperoneHsp17.6CIIPTS1PeroxisomeCatalaseAbiotic stress tolerance
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基于随机分块模型的结构脑网络连接优化 被引量:1
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作者 李荣荣 郭浩 陈俊杰 《计算机工程与设计》 北大核心 2017年第8期1997-2001,共5页
针对传统的结构脑网络构建以及分析方法缺乏对网络中连接的可信程度的验证,且在现有的研究中对结构脑网络进行优化的方法存在缺陷,介绍一种基于随机分块模型的算法,对结构脑网络中的连接可靠性进行量化评价,作为基础对网络结构进行优化... 针对传统的结构脑网络构建以及分析方法缺乏对网络中连接的可信程度的验证,且在现有的研究中对结构脑网络进行优化的方法存在缺陷,介绍一种基于随机分块模型的算法,对结构脑网络中的连接可靠性进行量化评价,作为基础对网络结构进行优化。利用网络中节点间的模块化结构,以及节点间是否存在连接依赖于节点在网络中起到的作用这两个属性,将节点分为模块,迭代多次,直到节点发挥其最大作用为止。通过与真实网络相比较,验证该方法是否可以应用在结构脑网络。结果表明,在不同的网络稀疏度情况下,使用该算法优化后的网络的正确边的比率,均远高于原有的方法说明该方法对结构脑网络的优化有显著效果。 展开更多
关键词 结构脑网络 标记神经元比例 随机分块模型 连接可信度 符号检验 正确率
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