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| 1 | High-level Expression of Functional Tumor Suppressor LKB1 in Escherichia coil显示文摘人的 LKB1 肿瘤压制或作为许多细胞的过程和发信号的小径的一个重要管理者被含有,显示它能是好候选人 foranticancer 药。它的 obtain 的失败高级表示是一个主要障碍在 vitro 学习它的蛋白质结构和函数。这里,我们在它一个肿瘤房间上的激酶活动和反癌症效果衬里的 Escherichia 关口 i 和表演描述人的 LKB1 的高级表示。编码 LKB 1 的基因被用经常使用的鳕鱼 ons 代替稀罕鳕鱼 ons 优化 inE。关口 i 并且与重叠教材综合了。recombinant His-LKB1 在 hostsBL21 (DE3 )(BL ) 和 Rosetta-gami (DE3 ) 被表示 pLysS (RG ) 。从 BL 的 His-LKB1 作为包括身体主要在场。从 RG 的可溶的 His-LKB1 占了 34。1% 全部的蛋白质和 purifiedHis-LKB1 的收益是约 92 亩 g/ml。从两位主人的净化的 His-LKB1 蛋白质是机能上地活跃的,作为当任何另外的联系激酶不在时由可逆 autophosphorylation 和激酶活动出现。生长禁止的比率在肝的癌 SMMC-7721 房间上净化了导出 BL 、导出 RG 的 His-LKB1 分别地,是 24.97% 和 45.68% ,两个能生产重要房间周期拘捕。 | Jun'e LIU Tingmao HU Xin HOU | 2007 | Acta Biochimica et Biophysica Sinica2007，39，10： | 3 |
| 2 | Role of Small Extracellular Vesicles in Liver Diseases:Pathogenesis,Diagnosis,and Treatment显示文摘Extracellular vesicles(EVs)are vesicular bodies that bud off from the cell membrane or are secreted virtually by all cell types.Small EVs(sEVs or exosomes)are key mediators of cell-cell communication by delivering their cargo,including proteins,lipids,or RNAs,to the recipient cells where they induce changes in signaling pathways and phenotypic prop-erties.Tangible findings have revealed the pivotal involve-ment of sEVs in the pathogenesis of various diseases.On the bright side,they are rich sources of biomarkers for diag-nosis,prognosis,treatment response,and disease monitor-ing.sEVs have high stability,biocompatibility,targetability,low toxicity,and are immunogenic in nature.Their intrinsic properties make sEVs an ideal delivery vehicle to be loaded with cargo for therapeutic interventions.Liver diseases are a major global health problem.This review aims to focus on the roles and mechanisms of sEVs in the pathogenesis of liver diseases,liver injury,liver failure,and liver can-cer.sEVs are released not only by hepatocytes but also by stromal and immune cells in the microenvironment.Early detection of liver disease determines the chance for cura-tive treatment and high survival of patients.This review focuses on the potential of circulating sEV cargo as specific and sensitive noninvasive biomarkers for the early detection and prognosis of liver diseases.In addition,the therapeutic use of sEVs derived from various cell types is discussed.Al-though sEVs hold promise for clinical applications,there are still challenges to be overcome by further research to bring utilization of sEVs into clinical practice. | Tingmao Xue Judy Wai Ping Yam | 2022 | Journal of Clinical and Translational Hepatology2022，10，6： | 2 |
| 3 | Matrix attachment regions included in a bicistronic vector enhances and stabilizes follistatin gene expressions in both transgenic cells and transgenic mice显示文摘In the present study, follistatin(FST) gene expression vectors with either a bicistronic gene transfer cassette alone, or a bicistron gene cassette carrying a matrix attachment region(MAR) were constructed and transfected to bovine fetal fibroblasts. Evaluations of both the integration and expression of exogenous FST indicated that the p MAR-CAG-FST-IRES-Ac GFP1-poly A-MAR(pMAR-FST) vector had higher capacity to form monoclonal transgenic cells than the vector without MAR,though transient transfection and integration efficiency were similar with either construct. Remarkably, protein expression in transgenic cells with the p MAR-FST vector was significantly higher than that from the bicistronic vector. Exogenous FST was expressed in all of the p MARFST transgenic mice at F_0, F_1 and F_2. Total muscle growth in F_0 mice was significantly greater than in wild-type mice,with larger muscles in fore and hind limbs of transgenic mice. p MAR-FST transgenic mice were also found with more evenly distributed muscle bundles and thinner spaces between sarcolemma, which suggests a correlation between transgene expression-associated muscle development and the trend of muscle growth. In conclusion, a p MAR-FST vector, which excluded the resistant genes and frame structure, enhances and stabilizes FST gene expressions in both transfected cells and transgenic mice. | Xiaoming HU Jing GUO Chunling BAI Zhuying WEI Li GAO Tingmao HU Shorgan BOU Guangpeng LI | 2016 | Frontiers of Agricultural Science and Engineering2016，3，1： | 1 |
| 4 | Continuous bio - hydrogen production from citric acid wastewater via facultative anaerobic bacteria显示文摘 | Yang Haijun Peng Shao Lu Tingmao | 2006 | Int J Hydrogen Energy2006，31，： | 1 |
| 5 | Continuous bio-hydrogen production from citric acid wastewater via facultative anaerobic bacteria显示文摘 | Haijun Yang Peng Shao Tingmao Lu Jianquan Shen Dufu Wang Zhinian Xu Xing Yuan | 2005 | International Journal of Hydrogen Energy2005，，10： | 1 |
| 6 | Text Difficulty Study:Do Machines Behave the Same as Humans Regarding Text Difficulty?显示文摘With the emergence of pre-trained models,current neural networks are able to give task performance that is comparable to humans.However,we know little about the fundamental working mechanism of pre-trained models in which we do not know how they approach such performance and how the task is solved by the model.For example,given a task,human learns from easy to hard,whereas the model learns randomly.Undeniably,difficulty-insensitive learning leads to great success in natural language processing(NLP),but little attention has been paid to the effect of text difficulty in NLP.We propose a human learning matching index(HLM Index)to investigate the effect of text difficulty.Experiment results show:1)LSTM gives more human-like learning behavior than BERT.Additionally,UID-SuperLinear gives the best evaluation of text difficulty among four text difficulty criteria.Among nine tasks,some tasks’performance is related to text difficulty,whereas others are not.2)Model trained on easy data performs best in both easy and medium test data,whereas trained on hard data only performs well on hard test data.3)Train the model from easy to hard,leading to quicker convergence. | Bowen Chen Xiao Ding Yi Zhao Bo Fu Tingmao Lin Bing Qin Ting Liu | 2024 | Machine Intelligence Research2024，21，2： | 0 |
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