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| 1 | LncRNA Nron regulates osteoclastogenesis during orthodontic bone resorption显示文摘Activation of osteoclasts during orthodontic tooth treatment is a prerequisite for alveolar bone resorption and tooth movement.However,the key regulatory molecules involved in osteoclastogenesis during this process remain unclear.Long noncoding RNAs(lnc RNAs)are a newly identified class of functional RNAs that regulate cellular processes,such as gene expression and translation regulation.Recently,lnc RNAs have been reported to be involved in osteogenesis and bone formation.However,as the most abundant noncoding RNAs in vivo,the potential regulatory role of lnc RNAs in osteoclast formation and bone resorption urgently needs to be clarified.We recently found that the lnc RNA Nron(long noncoding RNA repressor of the nuclear factor of activated T cells)is highly expressed in osteoclast precursors.Nron is downregulated during osteoclastogenesis and bone ageing.To further determine whether Nron regulates osteoclast activity during orthodontic treatment,osteoclastic Nron transgenic(Nron c TG)and osteoclastic knockout(Nron CKO)mouse models were generated.When Nron was overexpressed,the orthodontic tooth movement rate was reduced.In addition,the number of osteoclasts decreased,and the activity of osteoclasts was inhibited.Mechanistically,Nron controlled the maturation of osteoclasts by regulating NFATc1 nuclear translocation.In contrast,by deleting Nron specifically in osteoclasts,tooth movement speed increased in Nron CKO mice.These results indicate that lnc RNAs could be potential targets to regulate osteoclastogenesis and orthodontic tooth movement speed in the clinic in the future. | Ruilin Zhang Junhui Li Gongchen Li Fujun Jin Zuolin Wang Rui Yue Yibin Wang Xiaogang Wang Yao Sun | 2020 | International Journal of Oral Science2020，12，2： | 9 |
| 2 | Regional eco-efficiency evaluation and spatial pattern analysis of the Yangtze River Economic Zone显示文摘The environmental ecology of the Yangtze River Economic Zone(YREZ)faces ecological function decline,deterioration and degradation under intense human activities,long-term development and utilization and its economy has developed rapidly over recent decades.Eco-efficiency is considered as a measure of coordinated development of economy,resources,environment and ecology,and is currently considered a very important issue.In this paper,based on the slack-based measure and data envelope analysis model,we take 129 prefecture-level cities of the YREZ as the study unit and measure the eco-efficiency of the YREZ in 2000,2005,2010 and 2015,which considers undesired output.The evaluation of the status quo of the regional eco-efficiency development was carried out at provincial,prefectural and city scales.The spatial autocorrelation test model and standard deviation ellipse were used to analyze the spatially distributed characteristics and the evolutionary regularity of eco-efficiency.Our study suggested that the eco-efficiency value varied significantly at different spatiotemporal scales and the overall distribution presented an'N-shaped'pattern,the value is the largest downstream and the smallest upstream.Regional eco-efficiency presented certain volatility in growth and a clear spatial positive agglomeration trend from 2000 to 2015.The spatial distribution of each agglomeration area was also significantly different,forming some high-high agglomeration areas at the center of the shaft with Shanghai and surrounding cities,and some low-low agglomeration areas at the center with middle reaches and upstream cities.The low-high over-aggregation and high-low polarization clusters were fewer.At the same time,with the change of the research period,the degree of positive agglomeration became increasingly pronounced and the eco-efficiency gap of the neighborhoodunit reduced.The regional eco-efficiency value of the YREZ presented a spatial distribution pattern in the northeast-southwest axis and the evolutionary pattern of the regional eco-efficiency similarly showed a northeast-southwest orientation. | HA Lin TU Jianjun YANG Jianping XU Chunhai PANG Jiaxing LU Debin YAO Zuolin ZHAO Wenyu | 2020 | Journal of Geographical Sciences2020，30，7： | 8 |
| 3 | Glycosylation of dentin matrix protein 1 is a novel key element for astrocyte maturation and BBB integrity显示文摘血大脑障碍(BBB ) 是在 endothelial 房间和星形细胞之间形成的一条紧密的边界,它在循环把大脑与大多数病原体以及神经毒素分开并且保护。然而,详细说明了涉及 BBB 的形成的分子的播放器完全不被知道。牙质矩阵蛋白质 1 (DMP1 )-proteoglycan (PG ) 被知道涉及骨头和牙质的矿化作用,也与未知功能包括大脑在软纸巾被表示。在现在的学习,我们报导 DMP1-PG 在大脑星形细胞被表示并且在 BBB 充实单位。DMP1 的唯一的 glycosylation 地点在在鼠标的蛋白质的 N 终端域是 serine89 (S89 ) 。有 DMP1 的变异的老鼠削尖把 S89 改变到 glycine (S89G ) 的变化,它蛋白质的完全根除的 glycosylation,表明的严重 BBB 混乱。DMP1 变异的鼠标的另一个品种,缺乏 DMP1 的 C 终端域,表明了正常 BBB 功能。S89G-DMP1 星形细胞的极性被破坏,房间房间粘附被松开。通过一组分析,我们发现 DMP1 glycosylation 极其在 vitro 并且在 vivo 为星形细胞成熟被要求。S89G-DMP1 变异的星形细胞没能表示 aquaporin 4 并且减少了 laminin 和 ZO1 表示,它导致了 BBB 的混乱。有趣地,在 nestin 倡导者驾驶的老鼠大脑的野类型的 DMP1-PG 的 overexpression 在野类型层次以外提高了 laminin 和 ZO1 表示并且能有效地抵抗的静脉内的导致甘露糖醇的 BBB 可逆的洞。一起拿,我们的学习不仅揭示了一个新奇元素,即, DMP1-PG,调整了 BBB 形成,而且把新功能分到 DMP1-PG。 | Bo Jing Chunxue Zhang Xianjun Liu Liqiang Zhou Jiping Liu Yinan Yao Juehua Yu Yuteng Weng Min Pan Jie Liu Zuolin Wang Yao Sun Yi Eve Sun | 2018 | Protein & Cell2018，9，3： | 5 |
| 4 | Glycosylation of dentin matrix protein 1 is critical for fracture healing via promoting chondrogenesis显示文摘Fractures are frequently occurring diseases that endanger human health. Crucial to fracture healing is cartilage formation, which provides a bone-regeneration environment. Cartilage consists of both chondrocytes and extracellular matrix (ECM). The ECM of cartilage includes collagens and various types of proteoglycans (PGs), which play important roles in maintaining primary stability in fracture healing. The PG form of dentin matrix protein 1 (DMP1-PG) is involved in maintaining the health of articular cartilage and bone. Our previous data have shown that DMP1-PG is richly expressed in the cartilaginous calluses of fracture sites. However, the possible significant role of DMP1-PG in chondrogenesis and fracture healing is unknown. To further detect the potential role of DMP1-PG in fracture repair, we established a mouse fracture model by using a glycosylation site mutant DMP1 mouse (S89G-DMP1 mouse). Upon inspection, fewer cartilaginous calluses and down-regulated expression levels of chondrogenesis genes were observed in the fracture sites of S89G-DMP1 mice. Given the deficiency of DMP1-PG, the impaired IL-6/JAK/STAT signaling pathway was observed to affect the chondrogenesis of fracture healing. Overall, these results suggest that DMP1-PG is an indispensable proteoglycan in chondrogenesis during fracture healing. | Hui Xue Dike Tao Yuteng Weng Qiqi Fan Shuang Zhou Ruilin Zhang Han Zhang Rui Yue Xiaogang Wang Zuolin Wang Yao Sun | 2019 | Frontiers of Medicine2019，13，5： | 2 |
| 5 | Generation of functional oligopeptides that promote osteogenesis based on unsupervised deep learning of protein IDRs显示文摘Deep learning(DL)is currently revolutionizing peptide drug development due to both computational advances and the substantial recent expansion of digitized biological data.However,progress in oligopeptide drug development has been limited,likely due to the lack of suitable datasets and difficulty in identifying informative features to use as inputs for DL models.Here,we utilized an unsupervised deep learning model to learn a semantic pattern based on the intrinsically disordered regions of~171 known osteogenic proteins.Subsequently,oligopeptides were generated from this semantic pattern based on Monte Carlo simulation,followed by in vivo functional characterization.A five amino acid oligopeptide(AIB5P)had strong bone-formation-promoting effects,as determined in multiple mouse models(e.g.,osteoporosis,fracture,and osseointegration of implants).Mechanistically,we showed that AIB5P promotes osteogenesis by binding to the integrinα5 subunit and thereby activating FAK signaling.In summary,we successfully established an oligopeptide discovery strategy based on a DL model and demonstrated its utility from cytological screening to animal experimental verification. | Mingxiang Cai Baichuan Xiao Fujun Jin Xiaopeng Xu Yuwei Hua Junhui Li Pingping Niu Meijing Liu Jiaqi Wu Rui Yue Yong Zhang Zuolin Wang Yongbiao Zhang Xiaogang Wang Yao Sun | 2022 | Bone Research2022，10，2： | 0 |
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