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| 1 | MiR-29b suppresses the proliferation and migration of osteosarcoma cells by targeting CDK6显示文摘Osteosarcoma 是骨头的最普通的主要肉瘤,并且它是在青少年和年轻成年人之中的癌症死亡的一个领先的原因。然而,糟糕位于 osteosarcoma carcinogenesis 遗体下面的分子的机制理解。最近, cyclin 依赖的 kinase (CDK6 ) 6 作为重要 oncogene 被识别。我们发现了那 CDK6 蛋白质水平,而非 CDK6 mRNA 水平,比的在 osteosarcoma 纸巾是高得多的在正常邻近的纸巾,它显示在 osteosarcoma 涉及 CDK6 规定的 post-transcriptional 机制。MiRNAs 是镇压的小非编码的 RNA 在 post-transcriptional 水平的基因表示并且广泛地被显示了在许多人的癌症起重要作用。在这研究,我们用生物信息学方法作为 CDK6 的一个新奇管理者调查了 miR-29b 的角色。我们证明 CDK6 能是由经由到在 osteosarcoma 房间的 3-UTR 区域的绑定的 miR-29b 的 downregulated。而且,我们在 osteosarcoma 纸巾识别了在 miR-29b 和 CDK6 蛋白质层次之间的反的关联。最后,我们在 osteosarcoma 房间检验了 CDK6 表示的 miR-29b-driven 压抑的功能。结果表明 miR-29b 由在增长和移植进程指向 CDK6 充当 osteosarcoma 的肿瘤 suppressor。一起拿,我们的结果在 osteosarcoma 在 CDK6 的规定为 miR-29b 加亮一个重要角色并且可以为未来 osteosarcoma 治疗打开新大街。 | Kegan Zhu Lei Liu Junliang Zhang Yanbo Wang Hongwei Liang Gentao Fan Zhenhuan Jiang Chen-Yu Zhang Xi Chen Guangxin Zhou | 2016 | Protein & Cell2016，7，6： | 18 |
| 2 | Agricultural remote sensing big data:Management and applications显示文摘Big data with its vast volume and complexity is increasingly concerned, developed and used for all professions and trades. Remote sensing, as one of the sources for big data, is generating earth-observation data and analysis results daily from the platforms of satellites, manned/unmanned aircrafts, and ground-based structures. Agricultural remote sensing is one of the backbone technologies for precision agriculture, which considers within-field variability for site-specific management instead of uniform management as in traditional agriculture. The key of agricultural remote sensing is, with global positioning data and geographic information, to produce spatially-varied data for subsequent precision agricultural operations. Agricultural remote sensing data, as general remote sensing data, have all characteristics of big data. The acquisition, processing, storage, analysis and visualization of agricultural remote sensing big data are critical to the success of precision agriculture. This paper overviews available remote sensing data resources, recent development of technologies for remote sensing big data management, and remote sensing data processing and management for precision agriculture. A five-layer-fifteenlevel(FLFL) satellite remote sensing data management structure is described and adapted to create a more appropriate four-layer-twelve-level(FLTL) remote sensing data management structure for management and applications of agricultural remote sensing big data for precision agriculture where the sensors are typically on high-resolution satellites, manned aircrafts, unmanned aerial vehicles and ground-based structures. The FLTL structure is the management and application framework of agricultural remote sensing big data for precision agriculture and local farm studies, which outlooks the future coordination of remote sensing big data management and applications at local regional and farm scale. | Yanbo Huang CHEN Zhong-xin YU Tao HUANG Xiang-zhi GU Xing-fa | 2018 | Journal of Integrative Agriculture2018，17，9： | 18 |
| 3 | H5N1 influenza virus-specific miRNA-like small RNA increases cytokine production and mouse mortality via targeting poly(rC)-binding protein 2显示文摘H5N1 流行性感冒病毒的感染在所有流行性感冒病毒之中引起最高的死亡。位于如此的高病毒的致病力下面的机制不完全地被理解。这里,我们报导 H5N1 流行性感冒病毒编码象 microRNA 一样小 RNA, miR-HA-3p,它从茎被处理由 Argonaute 2 的包含环的病毒的 RNA 先锋,和戏在在 H5N1 感染期间提高 cytokine 生产的一个角色。miR-HA-3p poly 指向的机械学的学习表演(rC ) 有约束力的蛋白质 2 (PCBP2 ) 并且压制它的表达式。与 PCBP2 being 一致 RIG-I/MAVS-mediated 抗病毒的天生的免疫的一个重要否定管理者,由 miR-HA-3p 的 PCBP2 表示的抑制在感染 H5N1 的人的巨噬细胞和老鼠支持 cytokine 生产病毒。我们断定 miR-HA-3p 是首先识别的流行性感冒编码病毒的象 microRNA 一样功能的 RNA 碎片和贡献导致 H5N1 的 cytokine 暴风雨和死亡的一个新奇毒力因素。 | Xihan Li Zheng Fu Hongwei Liang Yanbo Wang Xian Qi Meng Ding Xinlei Sun Zhen Zhou Ying Huang Hongwei Gu Limin Li Xi Chen Donghai Li Quan Zhao Fenyong Li Hua Wang Jin Wang Ke Zen Chen-Yu Zhang | 2018 | Cell Research2018，28，2： | 12 |
| 4 | SIDT1-dependent absorption in the stomach mediates host uptake of dietary and orally administered microRNAs显示文摘Dietary microRNAs have been shown to be absorbed by mammals and regulate host gene expression,but the absorption mechanism remains unknown.Here,we show that SIDT1 expressed on gastric pit cells in the stomach is required for the absorption of dietary microRNAs.SIDT1-deficient mice show reduced basal levels and impaired dynamic absorption of dietary microRNAs.Notably,we identified the stomach as the primary site for dietary microRNA absorption,which is dramatically attenuated in the stomachs of SIDT1-deficient mice.Mechanistic analyses revealed that the uptake of exogenous microRNAs by gastric pit cells is SIDT1 and low-pH dependent.Furthermore,oral administration of plant-derived miR2911 retards liver fibrosis,and this protective effect was abolished in SIDT1-deficient mice.Our findings reveal a major mechanism underlying the absorption of dietary microRNAs,uncover an unexpected role of the stomach and shed light on developing small RNA therapeutics by oral delivery. | Qun Chen Fan Zhang Lei Dong Huimin Wu Jie Xu Hanqin Li Jin Wang Zhen Zhou Chunyan Liu Yanbo Wang Yuyan Liu Liangsheng Lu Chen Wang Minghui Liu Xi Chen Cheng Wang Chunni Zhang Dangsheng Li Ke Zen Fangyu Wang Qipeng Zhang Chen-Yu Zhang | 2021 | Cell Research2021，31，3： | 10 |
| 5 | In vivo self-assembled small RNAs as a new generation of RNAi therapeutics显示文摘RNAi therapy has undergone two stages of development,direct injection of synthetic siRNAs and delivery with artificial vehicles or conjugated ligands;both have not solved the problem of efficient in vivo siRNA delivery.Here,we present a proof-of-principle strategy that reprogrammes host liver with genetic circuits to direct the synthesis and self-assembly of siRNAs into secretory exosomes and facilitate the in vivo delivery of siRNAs through circulating exosomes.By combination of different genetic circuit modules,in vivo assembled siRNAs are systematically distributed to multiple tissues or targeted to specific tissues(e.g.,brain),inducing potent target gene silencing in these tissues.The therapeutic value of our strategy is demonstrated by programmed silencing of critical targets associated with various diseases,including EGFR/KRAS in lung cancer,EGFR/TNC in glioblastoma and PTP1B in obesity.Overall,our strategy represents a next generation RNAi therapeutics,which makes RNAi therapy feasible. | Zheng Fu Xiang Zhang Xinyan Zhou Uzair Ur-Rehman Mengchao Yu Hongwei Liang Hongyuan Guo Xu Guo Yan Kong Yuanyuan Su Yangyang Ye Xiuting Hu Wei Cheng Jinrong Wu Yanbo Wang Yayun Gu Sheng-feng Lu Dianqing Wu Ke Zen Jing Li Chao Yan Chen-Yu Zhang Xi Chen | 2021 | Cell Research2021，31，6： | 10 |
| 6 | MiRNA-203 suppresses tumor cell proliferation, migration and invasion by targeting Slug in gastric cancer显示文摘 | Liuqing Yang Hongwei Liang Yanbo Wang Shanting Gao Kai Yin Zhijian Liu Xi Zheng Ying Lv Lei Wang Chen-Yu Zhang Xi Chen Guifang Xu Weijie Zhang Xiaoping Zou | 2016 | Protein & Cell2016，7，5： | 7 |
| 7 | Kruppel-like factors and vascular wall homeostasis显示文摘 | Yanbo Fan Haocheng Lu Wenying Liang Wenting Hu Jifeng Zhang Y. Eugene Chen | 2017 | Journal of Molecular Cell Biology2017，9，5： | 7 |
| 8 | Dosage effect of multiple genes accounts for multisystem disorder of myotonic dystrophy type 1显示文摘Multisystem manifestations in myotonic dystrophy type 1(DM1)may be due to dosage reduction in multiple genes induced by aberrant expansion of CTG repeats in DMPK,including DMPK,its neighboring genes(SIX5 or DMWD)and downstream MBNLh However,direct evidence is lacking.Here,we develop a new strategy to generate mice carrying multigene heterozygous mutations to mimic dosage reduction in one step by injection of haploid embryonic stem cells with mutant Dmpk,Six5 and Mbnll into oocytes.The triple heterozygous mutant mice exhibit adult-onset DM1 phenotypes.With the additional mutation in Dmwd,the quadruple heterozygous mutant mice recapitulate many major manifestations in congenital DM1.Moreover,muscle stem cells in both models display reduced sternness,providing a unique model for screening small molecules for treatment of DM1.Our results suggest that the complex symptoms of DM1 result from the reduced dosage of multiple genes. | Qi Yin Hongye Wang Na Li Yifu Ding Zhenfei Xie Lifang Jin Yan Li Qiong Wang Xinyi Liu Liuqing Xu Qing Li Yongjian Ma Yanbo Cheng Kai Wang Cuiqing Zhong Qian Yu Wei Tang Wanjin Chen Wenjun Yang Fan Zhang Chen Ding Lan Bao Bin Zhou Ping Hu Jinsong Li | 2020 | Cell Research2020，30，2： | 7 |
| 9 | Dynamic State Estimation for Integrated Electricity-gas Systems Based on Kalman Filter显示文摘In recent years, integrated electricity-gas systems(IEGSs) have attracted widespread attention. The unifiedscheduling and control of the IEGS depends on high-precisionoperating data. To this end, it is necessary to establish anappropriate state estimation (SE) model for IEGS to filter theraw measured data. Considering that power systems and naturalgas systems have different time scales and sampling periods, thispaper proposes a dynamic state estimation (DSE) method basedon a Kalman filter that can consider the dynamic characteristicsof natural gas pipelines. First, the standardized state transitionequations for the gas system are developed by applying the finitedifference method to the partial differential equations (PDEs) ofthe gas system;then the DSE model for IEGS is formulatedbased on a Kalman filter;also, the measurements from theelectricity system and the gas system with different samplingperiods are fused to ensure the observability of DSE by using theinterpolation method. The IEEE 39-bus electricity system and the18-nodes Belgium gas system are integrated as the test systems.Simulation results verify the proposed method’s accuracy andcalculation efficiency. | Yanbo Chen Yuan Yao Yuzhang Lin Xiaonan Yang | 2022 | CSEE Journal of Power and Energy Systems2022，8，1： | 7 |
| 10 | Data-driven Robust State Estimation Through Off-line Learning and On-line Matching显示文摘To overcome the shortcomings of model-driven state estimation methods, this paper proposes a data-driven robust state estimation (DDSE) method through off-line learning and on-line matching. At the off-line learning stage, a linear regression equation is presented by clustering historical data from supervisory control and data acquisition (SCADA), which provides a guarantee for solving the over-learning problem of the existing DDSE methods;then a novel robust state estimation method that can be transformed into quadratic programming (QP) models is proposed to obtain the mapping relationship between the measurements and the state variables (MRBMS). The proposed QP models can well solve the problem of collinearity in historical data. Furthermore, the off-line learning stage is greatly accelerated from three aspects including reducing historical categories, constructing tree retrieval structure for known topologies, and using sensitivity analysis when solving QP models. At the on-line matching stage, by quickly matching the current snapshot with the historical ones, the corresponding MRBMS can be obtained, and then the estimation values of the state variables can be obtained. Simulations demonstrate that the proposed DDSE method has obvious advantages in terms of suppressing over-learning problems, dealing with collinearity problems, robustness, and computation efficiency. | Yanbo Chen Hao Chen Yang Jiao Jin Ma Yuzhang Lin | 2021 | Journal of Modern Power Systems and Clean Energy2021，9，4： | 6 |
| 11 | Direct generation of watt-level yellow Dy^(3+)-doped fiber laser显示文摘Yellow lasers(∼565–590 nm)are of tremendous interest in biomedicine,astronomy,spectroscopy,and display technology.So far,yellow lasers still have relied heavily on nonlinear frequency conversion of near-infrared lasers,precluding compact and low-cost yellow laser systems.Here,we address the challenge through demonstrating,for the first time,to the best of our knowledge,watt-level high-power yellow laser generation directly from a compact fiber laser.The yellow fiber laser simply consists of a Dy^(3+)-doped ZBLAN fiber as gain medium,a fiber end-facet mirror with high reflectivity at yellow and a 450-nm diode laser as the pump source.We comprehensively investigated the dependence of the yellow laser performance on the output coupler reflectivity and the gain fiber length and demonstrated that the yellow fiber laser with an output coupler reflectivity of 4% and a gain fiber length of∼1.8 m yields a maximum efficiency of 33.6%.A maximum output power of 1.12 W at 575 nm was achieved at a pump power of 4.20 W.This work demonstrated the power scaling of yellow Dy^(3+)-doped ZBLAN fiber lasers,showing their promise for applications in ophthalmology,astronomical exploration,and high-resolution spectroscopy. | Jinhai Zou Tianran Li Yanbo Dou Jin Li Nan Chen Yikun Bu Zhengqian Luo | 2021 | Photonics Research2021，9，4： | 5 |
| 12 | Safety and feasibility of transulnar versus transradial artery approach for coronary catheterization in non-selective patients显示文摘 | Geng Wei Fu Xianghua Gu Xinshun Jiang Yunfa Fan Weize Wang Yanbo Li Wei Xing Kun Liu Chen | 2014 | Chinese Medical Journal2014，，7： | 5 |
| 13 | How cushion communities are maintained in alpine ecosystems: A review and case study on alpine cushion plant reproduction显示文摘Cushion species occur in nearly all alpine environments worldwide. In past decades, the adaptive and ecosystem-engineering roles of such highly specialized life forms have been well studied. However, the adaptive strategies responsible for cushion species reproductive success and maintenance in severe alpine habitats remain largely unclear. In this study, we reviewed the current understanding of reproductive strategies and population persistence in alpine cushion species. We then present a preliminary case study on the sexual reproduction of Arenaria polytrichoides(Caryophyllaceae), a typical cushion species inhabiting high elevations of the Himalaya Hengduan Mountains, which is a hotspot for diversification of cushion species. Finally, we highlight the limitations of our current understanding of alpine cushion species reproduction and propose future directions for study. | Jianguo Chen Yanbo Li Yang Yang Hang Sun | 2017 | Plant Diversity2017，39，4： | 4 |
| 14 | Novel benzamido derivatives as PTP1B inhibitors with anti-hyperglycemic and lipid-lowering efficacy显示文摘Based on a non-competitive and selective PTP1 B inhibitor reported by us previously, thirtynine benzamido derivatives were designed and synthesized as novel PTP1 B inhibitors. Among them,twelve compounds exhibited IC_(50) values at micromolar level against human recombinant PTP1 B, and most of them exhibited significant selectivity to PTP1 B over TC-PTP and CD45. Further evaluation of the most potent compound 27 on high-fat diet(HFD)-induced insulin-resistant(IR) obese mice indicated that27 could modulate glucose metabolism and ameliorate dyslipidemia simultaneously.& 2018 Chinese Pharmaceutical Association and Institute of Materia Medica, Chinese Academy of Medical Sciences. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license(http://gffzzeb6f7f563f66445dhqcn9ocxf5vfq60cv.ffgz.tsg.suse.edu.cn/licenses/by-nc-nd/4.0/). | Yanbo Tang Xiaolin Zhang Zheng Chen Wenwen Yin Guanglei Nan Jinying Tian Fei Ye Zhiyan Xiao | 2018 | Acta Pharmaceutica Sinica B2018，8，6： | 4 |
| 15 | A Teosinte-derived Allele of a MYB Transcription Repressor Confers Multiple Disease Resistance in Maize.显示文摘Natural alleles controlling multiple disease resistances (MDR) are valuable for crop breeding. However, only one MDR gene have been cloned in maize, and molecular mechanisms of MDR are not clear. By map-based cloning, we have cloned a teosinte-derived allele of a resistance gene, Mexicana lesion mimic 1 (ZmMM1), which has a lesion mimic phenotype and confers resistance to northern leaf blight (NLB), gray leaf spot (GLS) and southern corn rust (SCR). Strong MDR conferred by the teosinte allele is linked with the polymorphisms in the 3' untranslated region of the ZmMM1 gene that cause increased accumulation of ZmMM1 protein. ZmMM1 acts as a transcription repressor and negatively regulates transcription of specific target genes including ZmMM1-target gene 3 (ZmMT3), which functions as a negative regulator of plant immunity and associated cell death. The successful isolation of the ZmMM1 resistance gene will help not only in developing broad-spectrum and durable disease resistance but also in understanding the molecular mechanisms underlying MDR. | Hongze Wang Jiabao Hou Pei Ye Long Hu Junshi Huang Zhikang Dai Bao Zhang Sha Dai Jiamin Que Haoxuan Min Gengshen Chen Yanbo Wang Min Jiang Yan Liang Lin Li Xuecai Zhang Zhibing Lai | 2021 | Molecular Plant2021，14，11： | 4 |
| 16 | Study on the Technology of Supplying Water Safely by Long-Distance Pipeline显示文摘The extensively built long-distance water transmission pipelines have become the main water sources for urban areas. To ensure the reliability and safety of the water supply, from the viewpoint of overall management, it would be necessary to establish a system of information management for the pipeline. The monitoring, calculating and analyzing functions of the system serve to give controlling instructions and safe operating rules to the automatic equipment and technician, making sure the resistance coefficient distribution along the pipeline is reasonable; the hydraulic state transition is smooth when operating conditions change or water supply accidents occur, avoiding the damage of water hammer. This paper covered the composition structures of the information management system of long-distance water transmission pipelines and the functions of the subsystems, and finally elaborated on the approaches and steps of building a mathematics model for the analysis of dynamic hydraulic status. | CHEN Yanbo YU Taipin LIU Junhua ZHAO Hongbin | 2008 | Journal of Northeast Agricultural University(English Edition)2008，15，3： | 3 |
| 17 | The Main Progress of Perovskite Solar Cells in 2020-2021显示文摘Perovskite solar cells(PSCs)emerging as a promising photovoltaic technology with high efficiency and low manufacturing cost have attracted the attention from all over the world.Both the efficiency and stability of PSCs have increased steadily in recent years,and the research on reducing lead leakage and developing eco-friendly lead-free perovskites pushes forward the commercialization of PSCs step by step.This review summarizes the main progress of PSCs in 2020 and 2021 from the aspects of efficiency,stability,perovskite-based tandem devices,and lead-free PSCs.Moreover,a brief discussion on the development of PSC modules and its challenges toward practical application is provided. | Tianhao Wu Zhenzhen Qin Yanbo Wang Yongzhen Wu Wei Chen Shufang Zhang Molang Cai Songyuan Dai Jing Zhang Jian Liu Zhongmin Zhou Xiao Liu Hiroshi Segawa Hairen Tan Qunwei Tang Junfeng Fang Yaowen Li Liming Ding Zhijun Ning Yabing Qi Yiqiang Zhang Liyuan Han | 2021 | Nano-Micro Letters2021，13，10： | 2 |
| 18 | Profiling human protein degradome delineates cellular responses to proteasomal inhibition and reveals a feedback mechanism in regulating proteasome homeostasis显示文摘在蛋白质周转(蛋白质 degradome ) 的全球变化组成对内在或外来的刺激的细胞的回答的中央部分。然而,介绍蛋白质 degradome 仍然保持技术上挑战性。最近, proteasome 的抑制,例如由使用 bortezomib (BTZ ) ,为对待多重骨髓瘤和其它人恶意,但是药行动和肿瘤药抵抗还有待于被完成的为 BTZ 的机制的系统的理解作为主要化学疗法的策略出现了。这里,我们开发了并且适用 dual-fluorescence-based 蛋白质周转试金(ProTA ) 到份量上在导致 BTZ 的 proteasomal 抑制之上在人的蛋白质 degradome 介绍全球变化。ProTA 和随后的网络分析描出在 BTZ 化疗的 BTZ 行动和肿瘤药抵抗的潜在的分子的基础。最后,把 BTZ 的使用与指向识别 ProTA 的关键基因的药相结合或在 BTZ 行动的小径在多重骨髓瘤房间减少了 BTZ 抵抗。显著地, BTZ 稳定 proteasome 子单元 PSMC1 和 proteasome 集会因素 PSMD10,建议为调整 proteasome 动态平衡的以前下面欣赏的机制。因此, ProTA 是为介绍人的蛋白质 degradome 阐明的一个新奇工具药行动和抵抗的潜在的机制,它可能便于指向 proteostasis 对待人的混乱的治疗学的开发。 | Tao Yu Yonghui Tao Meiqiang Yang Peng Chen Xiaobo Gao Yanbo Zhang Tao Zhang Zi Chen Jian Hou Yan Zhang Kangcheng Ruan Hongyan Wang Ronggui Hu | 2014 | Cell Research2014，24，10： | 2 |
| 19 | Data-driven Power Flow Method Based on Exact Linear Regression Equations显示文摘Power flow(PF)is one of the most important calculations in power systems.The widely-used PF methods are the Newton-Raphson PF(NRPF)method and the fast-decoupled PF(FDPF)method.In smart grids,power generations and loads become intermittent and much more uncertain,and the topology also changes more frequently,which may result in significant state shifts and further make NRPF or FDPF difficult to converge.To address this problem,we propose a data-driven PF(DDPF)method based on historical/simulated data that includes an offline learning stage and an online computing stage.In the offline learning stage,a learning model is constructed based on the proposed exact linear regression equations,and then the proposed learning model is solved by the ridge regression(RR)method to suppress the effect of data collinearity.In online computing stage,the nonlinear iterative calculation is not needed.Simulation results demonstrate that the proposed DDPF method has no convergence problem and has much higher calculation efficiency than NRPF or FDPF while ensuring similar calculation accuracy. | Yanbo Chen Chao Wu Junjian Qi | 2022 | Journal of Modern Power Systems and Clean Energy2022，10，3： | 2 |
| 20 | Revealing Spatial Spillover Effect in High-Tech Industry Agglomeration from a High-Skilled Labor Flow Network Perspective显示文摘Understanding the high-tech industrial agglomeration from a spatial-spillover perspective is essential for cities to gain economic and technological competitive advantages.Along with rapid urbanization and the development of fast transportation networks,socioeconomic interactions between cities have been ever-increasing,traditional spatial metrics are not enough to describe actual inter-city connections.High-skilled labor flow between cities strongly influences the high-tech industrial agglomeration,yet receives less attention.By exploiting unique large-scale datasets and tools from complex network and data mining,the authors construct an inter-city high-skilled labor flow network,which was integrated into spatial econometric models.The regression results indicate that spatial-spillover effects exist in the development of high-tech industries in the Yangtze River Delta Urban Agglomeration region.Moreover,the spatial-spillover effects are stronger among cities with a higher volume of high-skilled labor flows than among cities with just stronger geographic connections.Additionally,the authors investigate the channels for the spillover effects and discover that inadequate local government expenses on science and technology likely hamper the high-tech industrial agglomeration,so does the inadequate local educational provision.The increasing foreign direct investments in one city likely encourages the high-tech industrial agglomeration in other cities because of the policy inertia toward traditional industries. | WANG Chen WANG Lu XUE Yanbo LI Ruiqi | 2022 | Journal of Systems Science & Complexity2022，35，3： | 2 |
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