|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | HMGB1 from Astrocytes Promotes EAE by Influencing the Immune Cell Infiltration-Associated Functions of BMECs in Mice显示文摘High mobility group box 1(HMGB1)has been reported to play an important role in experimental autoimmune encephalomyelitis(EAE).Astrocytes are important components of neurovascular units and tightly appose the endothelial cells of microvessels by their perivascular endfeet and directly regulate the functions of the blood-brain barrier.Astrocytes express more HMGB1 during EAE while the exact roles of astrocytic HMGB1 in EAE have not been well elucidated.Here,using conditional-knockout mice,we found that astrocytic HMGB1 depletion decreased morbidity,delayed the onset time,and reduced the disease score and demyelination of EAE.Meanwhile,there were fewer immune cells,especially pathogenic T cells infiltration in the central nervous system of astrocytic HMGB1 conditional-knockout EAE mice,accompanied by up-regulated expression of the tight-junction protein Claudin5 and down-regulated expression of the cell adhesion molecules ICAM1 and VCAM1 in vivo.In vitro,HMGB1 released from astrocytes decreased Claudin5 while increased ICAM1 and VCAM1 expressed by brain microvascular endothelial cells(BMECs)through TLR4 or RAGE.Taken together,our results demonstrate that HMGB1 derived from astrocytes aggravates EAE by directly influencing the immune cell infiltration-associated functions of BMECs. | Junyu Shi Yifan Xiao Na Zhang Mengya Jiao Xuhuan Tang Chan Dai Chenchen Wang Yong Xu Zheng Tan Feili Gong Fang Zheng | 2022 | Neuroscience Bulletin2022，38，11： | 3 |
| 2 | Cost-reduction strategies in massive genomics experiments显示文摘Many modern biology studies require deep, whole-genome sequencing of hundreds to thousands of samples. Although persamplecosts have dramatically decreased, the total budget for such massive genome sequencing constitutes a significantbarrier for poorly funded labs. The costly lab tools required for genomics experiments further hinder such studies. Here, weshare two strategies for extensively reducing the costs of massive genomics experiments, including miniaturization of theNEBNext Ultra II FS DNA Library Prep Kit for Illumina (reducing the per-sample total costs to ~ 1/6 of that charged byservice providers) and in-lab 3D model-designing of genomics tools. These strategies not only dramatically release fundingpressure for labs, but also provide students with additional training in hands-on genomics and 3D-model-designing skills,demonstrating the high potential for their application in genomics experiments and science education. | Haichao Li Kun Wu Chenchen Ruan Jiao Pan Yujin Wang Hongan Long | 2019 | Marine Life Science & Technology2019，1，1： | 2 |
| 3 | Activation of androgen receptor induces ID1 and promotes hepatocellular carcinoma cell migration and invasion显示文摘 | Junping Ao Jiao Meng Lei Zhu Huizhen Nie Chenchen Yang Jinjun Li Jianren Gu Qiushi Lin Weiwen Long Xiaoqun Dong Chao Li | 2012 | Molecular Oncology2012，，5： | 1 |
| 4 | Phosphorus-doped NiS_(2)electrocatalyst with a hybrid structure for hydrogen evolution显示文摘In this article,P-NiS_(2)/Ni_(x)P electrocatalysts were synthesized by dealloying the Ni-Al precursor followed by phosphosulfide treatment.We found that the hybrid structure of P-NiS_(2)/Ni_(x)P provides rich active sites for the surface hydrogen evolution reaction (HER),and the doping of P enhances the electronic conductivity of electrodes.In particular,the obtained electrode shows a low overpotential of 196 mV at 10 mA cm^(-2)and a small Tafel slope of only 110 mV dec^(-1)in the HER.Meanwhile,longterm constant current electrolysis test experiments indicate that P-NiS_(2)/Ni_(x)P has good service stability.This research will help to open a new window on the design and fabrication of HER electrocatalysts. | ZHOU Qi LIU HaoRui JIAO SunZhi FENG ChenChen | 2022 | Science China(Technological Sciences)2022，65，7： | 1 |
| 5 | Thalidomide plus chemotherapy exhibit enhanced efficacy in the clinicaltreatment of T-cell non?Hodgkin’s lymphoma: A prospective study of 46 cases显示文摘 | Hongyang Wu Chenchen Zhao Kangsheng Gu Yang Jiao Jiqing Hao Guoping Sun | 2014 | Molecular and Clinical Oncology2014，，： | 1 |
| 6 | SET1A催化YAP甲基化修饰调控YAP细胞核转运和促进肿瘤发生显示文摘文章简介YAP作为Hippo信号通路主要效应因子之一,在Hippo通路受抑的条件下,从细胞质转运至细胞核调控基因表达和促进肿瘤发生。虽然YAP锚定在细胞质中的调控机制已经被广泛研究,但是YAP激活后入核在细胞核中持续积累的分子机制并不十分清楚。 | 方兰 滕鸿琦 王益林 廖光红 Linjun Weng Yaxu Li Xinbo Wang Jiali Jin Chenchen Jiao Lei Chen Xiaoping Peng Jiayu Chen Yongzhi Yang Houqin Fang Dongyan Han Cheng Li Xueling Jin Shihao Zhang Zhongchen Liu Min Liu Qing Wei Lujian Liao Xin Ge Bin Zhao Dawang Zhou HuanLong Qin Jun Zhou 王平 | 2019 | 科学新闻2019，0，2： | 0 |
| 7 | Highly efficient 1D p-Te/2D n-Bi_(2)Te_(3) heterojunction self-driven broadband photodetector显示文摘Broadband photodetectors with self-driven functions have attracted intensive scientific interest due to their low energy consumption and high optical gain.However,high-performance broadband self-driven photodetectors are still a significant challenge due to the complex fabrication processes,environmental toxicity,high production costs of traditional 3D semiconductor materials and sharply raised contact resistance,severe interfacial recombination of 2D materials and 2D/3D mixed dimension heterojunction.Here,1D p-Te/2D n-Bi_(2)Te_(3) heterojunctions are constructed by the simple and low-cost hydrothermal method.1D p-Te/2D n-Bi_(2)Te_(3) devices are applied in photoelectrochemical(PEC)photodetectors,with their high performance attributed to the good interfacial contacts reducing interface recombination.The device demonstrated a broad wavelength range(365–850 nm)with an Iph/Idark as high as 377.45.The R_(i),D^(*),and external quantum efficiency(EQE)values of the device were as high as 12.07 mA/W,5.87×10^(10) Jones,and 41.05%,respectively,which were significantly better than the performance of the prepared Bi_(2)Te_(3) and Te devices.A comparison of the freshly fabricated device and the device after 30 days showed that 1D p-Te/2D n-Bi_(2)Te_(3) had excellent stability with only 18.08%decay of photocurrent.It is anticipated that this work will provide new emerging material for future design and preparation of a high-performance self-driven broadband photodetector. | Chenchen Zhao Dongbo Wang Jiamu Cao Zhi Zeng Bingke Zhang Jingwen Pan Donghao Liu Sihang Liu Shujie Jiao Tianyuan Chen Gang Liu Xuan Fang Liancheng Zhao Jinzhong Wang | 2024 | Nano Research2024，17，3： | 0 |
| 8 | HASM quantum machine learning显示文摘The miniaturization of transistors led to advances in computers mainly to speed up their computation.Such miniaturization has approached its fundamental limits.However,many practices require better computational resources than the capabilities of existing computers.Fortunately,the development of quantum computing brings light to solve this problem.We briefly review the history of quantum computing and highlight some of its advanced achievements.Based on current studies,the Quantum Computing Advantage(QCA)seems indisputable.The challenge is how to actualize the practical quantum advantage(PQA).It is clear that machine learning can help with this task.The method used for high accuracy surface modelling(HASM)incorporates reinforced machine learning.It can be transformed into a large sparse linear system and combined with the Harrow-Hassidim-Lloyd(HHL)quantum algorithm to support quantum machine learning.HASM has been successfully used with classical computers to conduct spatial interpolation,upscaling,downscaling,data fusion and model-data assimilation of ecoenvironmental surfaces.Furthermore,a training experiment on a supercomputer indicates that our HASM-HHL quantum computing approach has a similar accuracy to classical HASM and can realize exponential acceleration over the classical algorithms.A universal platform for hybrid classical-quantum computing would be an obvious next step along with further work to improve the approach because of the many known limitations of the HHL algorithm.In addition,HASM quantum machine learning might be improved by:(1)considerably reducing the number of gates required for operating HASM-HHL;(2)evaluating cost and benchmark problems of quantum machine learning;(3)comparing the performance of the quantum and classical algorithms to clarify their advantages and disadvantages in terms of accuracy and computational speed;and(4)the algorithms would be added to a cloud platform to support applications and gather active feedback from users of the algorithms. | Tianxiang YUE Chenchen WU Yi LIU Zhengping DU Na ZHAO Yimeng JIAO Zhe XU Wenjiao SHI | 2023 | Science China Earth Sciences2023，66，9： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员