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| 1 | IL-17 sustains the plasma cell response via p38-mediated Bcl-xL RNA stability in lupus pathogenesis显示文摘Recent studies have demonstrated a central role for plasma cells in the development of autoimmune diseases,such as systemic lupus erythematosus(SLE).Currently,both the phenotypic features and functional regulation of autoreactive plasma cells during SLE pathogenesis remain largely unclear.In this study,we first found that a major subset of IL-17 receptor-expressing plasma cells potently produced anti-dsDNA IgG upon IL-17A(IL-17)stimulation in SLE patients and lupus mice.Using a humanized lupus mouse model,we showed that the transfer of Th17 cell-depleted PBMCs from lupus patients resulted in a significantly reduced plasma cell response and attenuated renal damage in recipient mice compared to the transfer of total SLE PBMCs.Moreover,long-term BrdU incorporation in lupus mice detected highly enriched long-lived BrdU+subsets among IL-17 receptor-expressing plasma cells.Lupus mice deficient in IL-17 or IL-17 receptor C(IL-17RC)exhibited a diminished plasma cell response and reduced autoantibody production with attenuated renal damage,while the adoptive transfer of Th17 cells triggered the plasma cell response and renal damage in IL-17-deficient lupus mice.In reconstituted chimeric mice,IL-17RC deficiency resulted in severely impaired plasma cell generation but showed no obvious effect on germinal center B cells.Further mechanistic studies revealed that IL-17 significantly promoted plasma cell survival via p38-mediated Bcl-xL transcript stabilization.Together,our findings identified a novel function of IL-17 in enhancing plasma cell survival for autoantibody production in lupus pathogenesis,which may provide new therapeutic strategies for the treatment of SLE. | Kongyang Ma Wenhan Du Fan Xiao Man Han Enyu Huang Na Peng Yuan Tang Chong Deng Lixiong Liu Yulan Chen Jingjing Li Shiwen Yuan Qin Huang Xiaoping Hong Dajun Hu Xiaoyan Cai Quan Jiang Dongzhou Liu Liwei Lu | 2021 | Cellular & Molecular Immunology2021，18，7： | 6 |
| 2 | Coordinated transcription of ANRIL and P16 genes is silenced by P16 DNA methylation显示文摘Objective: To investigate the relationship between the transcription of ANRIL, P15, P14 and P16 at the same locus and the regulation mechanism of ANRIL.Methods: Publicly available database of Cancer Cell Line Encyclopedia(CCLE) was used in bioinformatic analyses. Methylation of Cp G islands was detected by denaturing high performance liquid chromatography(DHPLC). Gene transcript levels were determined using quantitative real-time polymerase chain reaction(q RTPCR) assays. An engineered P16-specific transcription factor and DNA methyltransferase were used to induce P16-specific DNA demethylation and methylation.Results: The expression level of ANRIL was positively and significantly correlated with that of P16 but not with that of P15 in the CCLE database. This was confirmed in human cell lines and patient colon tissue samples. In addition, ANRIL was significantly upregulated in colon cancer tissues. Transcription of ANRIL and P16 was observed only in cell lines in which the P16 alleles were unmethylated and not in cell lines with fully methylated P16 alleles.Notably, P16-specific methylation significantly decreased transcription of P16 and ANRIL in BGC823 and GES1 cells. In contrast, P16-specific demethylation re-activated transcription of ANRIL and P16 in H1299 cells(P<0.001).Alteration of ANRIL expression was not induced by P16 expression changes.Conclusions: ANRIL and P16 are coordinately transcribed in human cells and regulated by the methylation status of the P16 Cp G islands around the transcription start site. | Ying Gan Wanru Ma Xiuhong Wang Juanli Qiao Baozhen Zhang Chenghua Cui Zhaojun Liu Dajun Deng | 2018 | Chinese Journal of Cancer Research2018，30，1： | 2 |
| 3 | A measurement method for magnetic property of the non- oriented silicon steels 显示文摘 | Shunbing ZHOU Dajun FENG Zhaojun DENG | 2013 | Advanced Materials Research2013，，602604： | 1 |
| 4 | Compact extreme learning machine for biological systems显示文摘 | Li Kang Deng Jing He Haibo Du Dajun | 2010 | International Journal of Computational Biology and Drug Design2010，3，2： | 1 |
| 5 | Compact extreme learning machine for biological systems 显示文摘 | Li Kang Deng Jing He Haibo Du Dajun | 2010 | International Journal of Computational Biology and Drug Design2010，3，2： | 1 |
| 6 | Genetic Variants in Cyclooxygenase-2 : Expression and Risk of Gastric Cancer and Its Precursors in a Chinese Population显示文摘 | Fen Liu Kaifeng Pan Xuemei Zhang Yang Zhang Lian Zhang Junling Ma Caixuan Dong Lin Shen Jiyou Li Dajun Deng Dongxin Lin Weicheng You | 2006 | Gastroenterology2006，，7： | 1 |
| 7 | Hesperidin Suppresses Ovalbumin-Induced Airway Inflammation in a Mouse Allergic Asthma Model显示文摘 | Dajun Wei Xinxin Ci Xiao Chu Miaomiao Wei Shucheng Hua Xuming Deng | 2012 | Inflammation2012，，1： | 1 |
| 8 | Kaiso mainly locates in the nucleus in vivo and binds to methylated,but not hydroxymethylated DNA显示文摘Objective:Kaiso is upregulated in many cancers and proposed to bind with both methylated- and unmethylated-DNA in the nucleus as a transcriptional repressor.The objective is to define its subcellular localization in vivo and exact binding DNA sequences in cells.Methods:Compartmentalization of exogenous Kaiso in cells was tracked with enhanced green fluorescence protein(EGFP) tag.The endogenous Kaiso expression in gastric carcinoma tissue was examined with immunohistochemical staining.Kaiso-DNA binding was tested using electrophoretic mobility shift assay(EMSA) and chromatin immunoprecipitation assay(ChIP).Results:Kaiso mainly localized in the nucleus of cancer and stromal cells in vivo,but remained in the cytoplasm of cultured cells.Most importantly,nuclear Kaiso can bind with the methylated-CGCGcontaining sequence in the CDKN2 A promoter,but not with the hydroxymethylated-CGCG sequence in HCT116 cells.Conclusions:Kaiso locates mainly in the nucleus in vivo where it binds with the methylated-CGCG sequences,but does not bind with the hydroxymethylated-CGCG sequences. | Sisi Qin Baozhen Zhang Wei Tian Liankun Gu Zheming Lu Dajun Deng | 2015 | Chinese Journal of Cancer Research2015，27，2： | 1 |
| 9 | Differentiation and adaptation epigenetic networks:Translational research in gastric carcinogenesis显示文摘There are several kinds of epigenetic networks in the human body including the cell differentiation epigenetic network(DiEN) and the host adaptation epigenetic network(AdEN).DiEN networks are static and cell/tissue-specific.AdEN networks are variable and dependent upon environmental factors.DiEN and AdEN alterations can respectively serve as biomarkers for different kinds of diseases.Cancer is a consequence of accumulated pathophysiological adaptations of tissue stem cells to exposure of environmental carcinogens.Cancer cells are de-differentiated cells that obtain the capacity of unrestricted proliferation,local invasion,and distant migration/metastasis.Both DiEN and AdEN changes can be observed in cancer tissues.Alterations of DNA methylation are the most stable epigenetic modifications and can be sensitively detected in a small cell population.These advantages make DNA methylation the optimal biomarkers for detection of initiated cells in precancerous lesions and metastasis stem cells in cancer tissues.It has been proven that p16 methylation can be used as a diagnostic biomarker to determine malignant potential of epithelium dysplasia in many organs including the stomach.In a large-scale validation study on the DNA methylome of gastric carcinomas(GC),the methylation status of more than 90 CpG islands has been analyzed by DHPLC.Furthermore,GFRA1 demethylation and methylation of SRF and ZNF382 are frequent events during gastric carcinogenesis and consistently correlate to GC metastasis and overall survival of GC patients from China,Japan,and Korea,respectively.In a population study,it has been demonstrated that gradual increasing of plasma miR-211 and other miRNA levels may be an early risk predictor for GC development. | DENG DaJun LU ZheMing | 2013 | Chinese Science Bulletin2013，58，1： | 1 |
| 10 | Epigenetic alterations as cancer diagnostic,prognostic,and predictive biomarkers显示文摘 | Deng Dajun Liu Zhaojun Du Yantao | 2010 | Adv Genet2010，71，： | 1 |
| 11 | Designing Discrete Predictor-Based Controllers for Networked Control Systems with Time-varying Delays:Application to A Visual Servo Inverted Pendulum System显示文摘A discrete predictor-based control method is developed for a class of linear time-invariant networked control systems with a sensor-to-controller time-varying delay and a controller-to-actuator uncertain constant delay,which can be potentially applied to vision-based control systems.The control scheme is composed of a state prediction and a discrete predictor-based controller.The state prediction is used to compensate for the effect of the sensor-to-controller delay,and the system can be stabilized by the discrete predictor-based controller.Moreover,it is shown that the control scheme is also robust with respect to slight message rejections.Finally,the main theoretical results are illustrated by simulation results and experimental results based on a networked visual servo inverted pendulum system. | Yang Deng Vincent Léchappé Changda Zhang Emmanuel Moulay Dajun Du Franck Plestan Qing-Long Han | 2022 | IEEE/CAA Journal of Automatica Sinica2022，9，10： | 0 |
| 12 | Chaos in coupled atom–molecular Bose–Einstein condensates显示文摘We investigate the chaotic dynamics of a coupled three-level atom–molecular Bose–Einstein condensate system composed by one molecular mode and two atomic modes.With the increase of atom–molecular coupling strength,we reveal the emergence of chaotic oscillations of the relative population difference between two atomic modes,which can be proven by the broad windows with a huge number of frequencies in spectral density and the chaotic trajectories in phase space diagrams.The different effects of initial states on atomic population oscillations are revealed,where for more particles in the initial state of the molecular model,chaos appears in the larger parameter region of system dynamics.Furthermore,we find that strong intermolecular interaction strength can suppress chaos resulting from strong atom–molecule coupling.This is due to the difficult transformation between atomic and molecular modes,as well as the relatively independent dynamic evolution of atoms and molecules. | Haiming Deng Jianquan Huang Dajun Lei Chunzhi Jiang Chao Kong | 2023 | Communications in Theoretical Physics2023，75，4： | 0 |
| 13 | Recognition for avian influenza virus proteins based on support vector machine and linear discriminant analysis显示文摘Total 200 properties related to structural characteristics were employed to represent structures of 400 HA coded proteins of influenza virus as training samples. Some recognition models for HA proteins of avian influenza virus (AIV) were developed using support vector machine (SVM) and linear discriminant analysis (LDA). The results obtained from LDA are as follows: the identification accuracy (Ria) for training samples is 99.8% and Ria by leave one out cross validation is 99.5%. Both Ria of 99.8% for training samples and Ria of 99.3% by leave one out cross validation are obtained using SVM model, respectively. External 200 HA proteins of influenza virus were used to validate the external predictive power of the resulting model. The external Ria for them is 95.5% by LDA and 96.5% by SVM, respectively, which shows that HA proteins of AIVs are preferably recognized by SVM and LDA, and the performances by SVM are superior to those by LDA. | LIANG GuiZhao CHEN ZeCong YANG ShanBin MEI Hu ZHOU Yuan YANG Li ZHOU Peng YANG ShengXi SHU Mao LIAO ChunYang WU ShiRong LI GenRong HE Liu GAO JianKun Gan MengYu LI DeJing CHEN GuoPing WANG GuiXue LONG Sha JING JuHua ZHENG XiaoLin ZENG Hui ZHANG QiaoXia ZHANG MengJun YANG Qi TIAN FeiFei TONG JianBo WANG JiaoNa LIU YongHong LI Bo QIU LiangJia CAI ShaoXi ZHAO Na YANG Yan SU XiaLi SONG Jian CHEN MeiXia ZHANG XueJiao SUN JiaYing LI JingWei CHEN GuoHua CHEN Gang DENG Jie PENG ChuanYou ZHU WanPing XU LuoNan WU YuQuan LIAO LiMin LI Zhi LI Jun LU DaJun SU QinLiang HUANG ZhengHu ZHOU Ping LI ZhiLiang | 2008 | Science China Chemistry2008，51，2： | 0 |
| 14 | Fair hierarchical clustering of substations based on Gini coefficient显示文摘For the load modeling of a large power grid,the large number of substations covered by it must be segregated into several categories and,thereafter,a load model built for each type.To address the problem of skewed clustering tree in the classical hierarchical clustering method used for categorizing substations,a fair hierarchical clustering method is proposed in this paper.First,the fairness index is defined based on the Gini coefficient.Thereafter,a hierarchical clustering method is proposed based on the fairness index.Finally,the clustering results are evaluated using the contour coefficient and the t-SNE two-dimensional plane map.The substations clustering example of a real large power grid considered in this paper illustrates that the proposed fair hierarchical clustering method can effectively address the problem of the skewed clustering tree with high accuracy. | Dajun Si Wenyue Hu Zilin Deng Yanhui Xu | 2021 | Global Energy Interconnection2021，4，6： | 0 |
| 15 | 放疗敏感性不同宫颈癌的蛋白质组学比较研究(英文)显示文摘Objective:To investigate the proteomic differences between the high-sensitivity(HS) group and low-sensitivity(LS) group of cervical cancer treated by radiotherapy and confirm the radiotherapy sensitivity associated proteins in early cer-vical cancer.Methods:The fresh carcinoma tissues were collected from 10 untreated cervical cancer patients and preserved in the-80 ℃ refrigeratory.The tissues were classified into two groups:high sensitivity group(HS) and low sensitivity group(LS),according to their response to radiotherapy.In the first part of our experiment,protein separating was performed by using two-dimensional gel electrophoresis(2-DE) with Amersham 18 cm linear pH 3-10 immobilized pH gradient(IPG) strips.The images of the gels were acquired by the scanner and then analyzed by using PD-quest7.3 software to find the differentially expression protein-spots in each group.Then the differentially expressed protein-spots was incised from the gels and digested by trypsin.The peptide mass fingerprintings(PMF) was acquired by matrix assisted laser desorption/ionization time-of-flight mass spectrometry(MALDI-TOF-MS) and the proteins were identified by data searching in the Mascot-database.Part of dif-ferentially expression proteins were assayed by Western Blot.Results:Most of the gels were clear and successfully analyzed by PD-quest7.3 software.Most of the protein-spots concentrated on the area of 20-100Kda(Mw) and pH4-8.The average number of the protein-spots was 754 ± 64 in HS group and 777 ± 48个in LS group.The match rate was 87.6% between two groups.Five high expression proteins were found in HS group which were low expression in LS group,3 high expres-sion protein were found in LS group which were low expression in HS group.Reselts of Western Blot were in coincidence to proteomic result.Conclusion:The 2-DE gels image of HS group and LS group with early cervical cancer tissues treated by radiotherapy are successfully acquired.Some differentially expression proteins between the two groups are further confirmed by immunohistochemical assay. | Liang Zeng Hong Zhu Dajun Li Haiping Pei Yaping Deng Jun Yuan | 2009 | The Chinese-German Journal of Clinical Oncology2009，8，4： | 0 |
| 16 | FPGA based digital phase-coding quantum key distribution system显示文摘Quantum key distribution(QKD) is a technology with the potential capability to achieve information-theoretic security. Phasecoding is an important approach to develop practical QKD systems in fiber channel. In order to improve the phase-coding modulation rate, we proposed a new digital-modulation method in this paper and constructed a compact and robust prototype of QKD system using currently available components in our lab to demonstrate the effectiveness of the method. The system was deployed in laboratory environment over a 50 km fiber and continuously operated during 87 h without manual interaction. The quantum bit error rate(QBER) of the system was stable with an average value of 3.22% and the secure key generation rate is 8.91 kbps. Although the modulation rate of the photon in the demo system was only 200 MHz, which was limited by the FaradayMichelson interferometer(FMI) structure, the proposed method and the field programmable gate array(FPGA) based electronics scheme have a great potential for high speed QKD systems with Giga-bits/second modulation rate. | LU XiaoMing Zhang LiJun WANG YongGang CHEN Wei HUANG DaJun LI Deng WANG Shuang HE DeYong YIN ZhenQiang ZHOU Yu HUI Cong HAN ZhengFu | 2015 | Science China(Physics,Mechanics & Astronomy)2015，58，12： | 0 |
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