期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到5篇文章
< 1 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
Post-anthesis dry matter production and leaf nitrogen distribution are associated with root-derived cytokinins gradient in rice 认领 引用
1
作者 Kuanyu Zhu Yuemei Xu +9 位作者 Zhiwei Sun Yajun Zhang Weiyang Zhang Yunji Xu Junfei Gu Hao Zhang Zhiqin Wang Lijun Liu Jianhua Zhang Jianchang Yang 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2025年第6期2106-2122,共17页
Aligning leaf nitrogen(N) distribution to match the light gradient is crucial for maximizing canopy dry matter production(DMP) and improving N utilization efficiency. However, the relationship between the gradient of ... Aligning leaf nitrogen(N) distribution to match the light gradient is crucial for maximizing canopy dry matter production(DMP) and improving N utilization efficiency. However, the relationship between the gradient of root-derived cytokinins and N distribution in rice leaves and its impact on DMP and the underlying mechanisms remains poorly understood. A two-year field experiment was conducted using two japonica N-efficient varieties(NEVs) and two japonica N-inefficient varieties(NIVs) under four different N rates(0, 90, 180, and 360 kg N ha-1). These selected varieties exhibited similar values in the coefficient of light extinction(KL). Results showed that at lower N rates(0–180 kg N ha-1), the NEVs exhibited greater dry matter weight at maturity, higher grain yield, and improved internal N use efficiency(IEN) compared to the NIVs, despite possessing comparable total N uptake. Compared with the NIVs, the NEVs exhibited a more pronounced nitrogen distribution gradient in leaves, as indicated by the coefficient of nitrogen extinction(KN) values during the middle and early grain-filling stages. This enhanced gradient led to improved coordination between light and nitrogen, resulting in greater photosynthetic production, particularly at lower N rates. Furthermore, the NEVs demonstrated a larger gradient of zeatin(Z)+zeatin riboside(ZR) in leaves(i.e., higher ratios of Z+ZR levels between upper and lower leaves), enhanced expression levels of genes related to N export in lower leaves and Z+ZR loading in the root, respectively, elevated enzymes activities related to N assimilation in upper leaves, in relative to the NIVs. Correlation and random forest analyses demonstrated a strong positive correlation between the Z+ZR gradient, KN, and DMP, and the gradient facilitated the export of N from lower leaves and its assimilation in upper leaves, contributing significantly to both KN and DMP. This process was closely linked to root activity, including root oxidation activity, root Z+ZR content, and Z+ZR loading capacity, as confirmed by applying an inhibitor or a promoter of cytokinins biosynthesis to roots. Interestingly, at the N rate of 360 kg N ha-1, both NEVs and NIVs showed indistinguishable plant traits, achieving a super high-yielding level(over 10.5 t ha-1) but with remarkably low IEN. The results suggest that increasing the Z+ZR gradient can improve KN and DMP, where it needs to maintain higher root activity, thus leading to high yield and high IEN. Further research is needed to explore and develop cultivation practices with reduced N to unlock the super-high-yielding potential of the NEVs. 展开更多
关键词 rice(Oryza sativa L.) grain yield dry matter production cytokinins gradient N distribution internal N use efficiency
暂未订购 下载PDF
Luteolin prevents uric acid-induced pancreatic β-cell dysfunction 认领 引用 被引量：6
2
作者 Ying Ding Xuhui Shi +5 位作者 Xuanyu Shuai Yuemei Xu Yun Liu Xiubin Liang Dong Wei Dongming Su 《Journal of Biomedical Research》 CAS 2014年第4期292-298,共7页
Elevated uric acid causes direct injury to pancreatic β-cells. In this study, we examined the effects of luteolin, an important antioxidant, on uric acid-induced β-cell dysfunction. We first evaluated the effect of ... Elevated uric acid causes direct injury to pancreatic β-cells. In this study, we examined the effects of luteolin, an important antioxidant, on uric acid-induced β-cell dysfunction. We first evaluated the effect of luteolin on nitric oxide （NO） formation in uric acid-stimulated Min6 cells using the Griess method. Next, we performed transient transfection and reporter assays to measure transcriptional activity of nuclear factor （NF）-κB. Western blotting assays were also performed to assess the effect of luteolin on the expression of MafA and inducible NO synthase （iNOS） in uric acid-treated cells. Finally, we evaluated the effect of luteolin on uric acidinduced inhibition of glucose-stimulated insulin secretion （GSIS） in Min6 cells and freshly isolated mouse pancreatic islets. We found that luteolin significantly inhibited uric acid-induced NO production, which was well correlated with reduced expression of iNOS mRNA and protein. Furthermore, decreased activity of NF-κB was implicated in inhibition by luteolin of increased iNOS expression induced by uric acid. Besides, luteolin significantly increased MafA expression in Min6 cells exposed to uric acid, which was reversed by overexpression of iNOS. Moreover, luteolin prevented uric acidinduced inhibition of GSIS in both Min6 cells and mouse islets. In conclusion, luteolin protects pancreatic β-cells from uric acid-induced dysfunction and may confer benefit on the protection of pancreatic β-cells in hyperuricemiaassociated diabetes. 展开更多
关键词 luteolin uric acid nitric oxide nuclear factor （NF）-κB MafA
暂未订购 下载PDF
USP7 protects histone H1.2 from proteasome-mediated degradation to facilitate DNA repair and pancreatic neuroendocrine neoplasms progression 认领 引用 被引量：1
3
作者 Mujie Ye Lin Xu +10 位作者 Ping Yu Jialing Pan Xiaoting Shi Bingyan Xue Na He Ping Hu Min Liu Xintong Lu Yuemei Xu Yanling Xu Qiyun Tang 《Science China(Life Sciences)》 SCIE CSCD 2026年第4期1255-1270,共16页
Ubiquitin-specific protease 7(USP7),a deubiquitinase,is involved in tumor progression.However,its roles in pancreatic neuroendocrine neoplasms(pNENs)remain unclear.The main objective of this study was therefore to inv... Ubiquitin-specific protease 7(USP7),a deubiquitinase,is involved in tumor progression.However,its roles in pancreatic neuroendocrine neoplasms(pNENs)remain unclear.The main objective of this study was therefore to investigate the molecular mechanism of how USP7 promoted pNEN progression.Proteomics and ubiquitin-omics were used to identify the substrates for USP7.We investigated the roles of USP7 and histone H1.2 in DNA repair in pNEN cells using comet assays andγ-H2AX immunofluorescence.The synergistic effects of cisplatin and the USP7 inhibitor,P005091,were evaluated using CCK-8,colony formation,and EdU assays.Western blot analysis was conducted to characterize the PI3K/AKT/mTOR signaling pathway.In vivo,the efficacy of the combination therapy was tested in xenograft models.The results showed a significant increase in USP7 levels in the tissues and cells of pNENs.Furthermore,USP7 was found to promote the proliferation,migration,and invasion of pNENs both in vitro and in vivo.Mechanistically,USP7 facilitated DNA repair through its interaction with histone H1.2 and the activation of the PI3K/AKT/mTOR pathway.The combination of cisplatin and P005091,a USP7 inhibitor,synergistically inhibited tumor growth and DNA repair in both in vitro and in vivo models,without exhibiting significant toxicity.In conclusion,USP7 was a key regulator of DNA repair in pNENs.The combination of cisplatin and P005091 therefore holds promise as a therapeutic strategy for pNENs. 展开更多
关键词 pancreatic neuroendocrine neoplasms USP7 histone H1.2 DNA repair cisplatin
暂未订购 下载PDF
A survey on multilingual large language models:corpora,alignment,and bias 认领 引用 被引量：4
4
作者 Yuemei XU Ling HU +4 位作者 Jiayi ZHAO Zihan QIU Kexin XU Yuqi YE Hanwen GU 《Frontiers of Computer Science》 SCIE EI CSCD 2025年第11期1-25,共25页
Based on the foundation of Large Language Models(LLMs),Multilingual LLMs(MLLMs)have been developed to address the challenges faced in multilingual natural language processing,hoping to achieve knowledge transfer from ... Based on the foundation of Large Language Models(LLMs),Multilingual LLMs(MLLMs)have been developed to address the challenges faced in multilingual natural language processing,hoping to achieve knowledge transfer from high-resource languages to low-resource languages.However,significant limitations and challenges still exist,such as language imbalance,multilingual alignment,and inherent bias.In this paper,we aim to provide a comprehensive analysis of MLLMs,delving deeply into discussions surrounding these critical issues.First of all,we start by presenting an overview of MLLMs,covering their evolutions,key techniques,and multilingual capacities.Secondly,we explore the multilingual training corpora of MLLMs and the multilingual datasets oriented for downstream tasks that are crucial to enhance the cross-lingual capability of MLLMs.Thirdly,we survey the state-of-the-art studies of multilingual representations and investigate whether the current MLLMs can learn a universal language representation.Fourthly,we discuss bias on MLLMs,including its categories,evaluation metrics,and debiasing techniques.Finally,we discuss existing challenges and point out promising research directions of MLLMs. 展开更多
关键词 multilingual large language model corpora alignment bias survey
暂未订购 下载PDF
Topology-aware virtual network embedding based on closeness centrality 认领 引用 被引量：6
5
作者 Zihou WANG Yanni HAN +3 位作者 Tao LIN Yuemei XU Song CI Hui TANG 《Frontiers of Computer Science》 SCIE EI CSCD 2013年第3期446-457,共12页
Network virtualization aims to provide a way to overcome ossification of the Internet. However, making efficient use of substrate resources requires effective techniques for embedding virtual networks： mapping virtua... Network virtualization aims to provide a way to overcome ossification of the Internet. However, making efficient use of substrate resources requires effective techniques for embedding virtual networks： mapping virtual nodes and virtual edges onto substrate networks. Previous research has presented several heuristic algorithms, which fail to consider that the attributes of the substrate topology and virtual net- works affect the embedding process. In this paper, for the first time, we introduce complex network centrality analysis into the virtual network embedding, and propose virtual network embedding algorithms based on closeness centrality. Due to considering of the attributes of nodes and edges in the topology, our studies are more reasonable than existing work. In addition, with the guidance of topology quantitative evalua- tion, the proposed network embedding approach largely improves the network utilization efficiency and decreases the embedding complexity. We also investigate our algorithms on real network topologies （e.g., AT＆T, DFN） and random network topologies. Experimental results demonstrate the usability and capability of the proposed approach. 展开更多
关键词 network virtualization virtual network embedding complex networks closeness centrality
暂未订购 下载PDF
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈