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9篇 您的检索式:作者名="Xiangjun Ji"
    题名 作者 年代 出处 被引量
1Lack of correlation between aristolochic acid exposure and hepatocellular carcinoma显示文摘Besides upper tract urothelial cell carcinoma(UTUCs),a recent study published in Science Translational Medicine has indicated that liver cancer may be associated with the exposure of aristolochic acids and similar derivatives(collectively,AA).However,according to our research,this study needs more number of samples for further verification which should be sampled from a wider range of people.Xiangjun Ji Guoshuang Feng Geng Chen Tieliu Shi 2018Science China(Life Sciences)2018,61,6:3
2Potentially functional genetic variants in microRNA processing genes and risk of HBV‐related hepatocellular carcinoma显示文摘Li Liu Jiaze An Jibin Liu Juan Wen Xiangjun Zhai Yao Liu Shandong Pan Jie Jiang Yang Wen Zheng Liu Yixin Zhang Jianguo Chen Jinliang Xing Guozhong Ji Hongbing Shen Zhibin Hu Zhining Fan 2013Mol Carcinog2013,,1:1
3Analysis of the Activation of the Nrf2-ARE Pathway Following Optic Nerve Injury in Mice显示文摘Purpose:The Nrf2-ARE pathway plays a cytoprotective role in many tissues,but its protective function in the optic nerve is unclear. The purpose of the study is to investigate the changes in activation of the Nrf2-ARE pathway following optic nerve injury (ONI) in mice. Methods:Using ONI mice models,the expression levels of Nrf2 in optic nerves were determined by real-time PCR at various time points. Results:The expression of Nrf2mRNA was significantly up-regulated at 1 d after ONI, peaking at 30 min after ONI. Conclusion:The Nrf2-ARE pathway was activated after ONI, providing evidence for the study of the protection and underlying mechanism of Nrf2-ARE pathway on optic nerves.Feng Yan Suihua Chen Xiangjun Ji Chuang Nie Hainan Xie 2012Eye Science2012,27,4:1
4QuaPra: Efficient transcript assembly and quantification using quadratic programming with Apriori algorithm显示文摘RNA sequencing(RNA-seq) has greatly facilitated the exploring of transcriptome landscape for diverse organisms.However,transcriptome reconstruction is still challenging due to various limitations of current tools and sequencing technologies.Here,we introduce an efficient tool,QuaPra(Quadratic Programming combined with Apriori),for accurate transcriptome assembly and quantification.QuaPra could detect at least 26.5% more low abundance(0.1–1 FPKM) transcripts with over 2.7% increase of sensitivity and precision on simulated data compared to other currently popular tools.Moreover,around one-quarter more known transcripts were correctly assembled by QuaPra than other assemblers on real sequencing data.QuaPra is freely available at http://gffzz964817d90372402ahovcwuonu6vuo6c0v.ffgz.tsg.suse.edu.cn/QuaPra/.Xiangjun Ji Weida Tong Baitang Ning Christopher E. Mason David P. Kreil Pawel P. Labaj Geng Chen Tieliu Shi 2019Science China(Life Sciences)2019,62,7:1
5Interplay of transcription factors and microRNAs during embryonic hematopoiesis显示文摘Hematopoietic stem cells (HSCs), which are localized in the bone marrow of adult mammals, come from hematopoietic endothelium during embryonic stages. Although the basic processes of HSC generation and differentiation have been described in the past, the epigenetic regulation of embryonic hematopoiesis remains to be fully described. Here, by utilizing an in vitro differentiation system of mouse embryonic stem cells (ESCs), we identified more than 20 microRNAs that were highly enriched in embryonic hematopoietic cells, including some (e.g. miR-10b, miR-15b, and miR-27a) with previously unknown functions in blood formation. Luciferase and gene expression assays further revealed combinational binding and regulation of these microRNAs by key transcription factors in blood cells. Finally, bioinformatics and functional analyses supported an interactive regulatory control between transcription factors and microRNAs in hematopoiesis.Xueping Gong Ruihua Chao Pengxiang Wang Xiaoli Huang Jingjing Zhang Xiaozhou Zhu Yanyang Zhang Xue Yang Chao Hou Xiangjun Ji Tieliu Shi Yuan Wang 2017Science China(Life Sciences)2017,60,2:0
6PSO-LSSVM-based Online SOC Estimation for Simulation Substation Battery显示文摘As the emergency power supply for a simulation substation,lead-acid batteries have a work pattern featuring noncontinuous operation,which leads to capacity regeneration.However,the accurate estimation of battery state of charge(SOC),a measurement of the amount of energy available in a battery,remains a hard nut to crack because of the non-stationarity and randomness of battery capacity change.This paper has proposed a comprehensive method for lead-acid battery SOC estimation,which may aid in maintaining a reasonable charging schedule in a simulation substation and improving battery’s durability.Based on the battery work pattern,an improved Ampere-hour method is used to calculate the SOC during constant current and constant voltage(CC/CV)charging and discharging.In addition,the combined Particle Swarm Optimization(PSO)and Least Squares Support Vector Machine(LSSVM)model is used to estimate the SOC during non-CC discharging.Experimental results show that this method is workable in online SOC estimation of working batteries in a simulation substaion,with the maximum relative error standing at only 2.1%during the non-training period,indicating a high precision and wide applicability.Qiang Zhang Xianguang Zha Jun Wu Liang Zhang Wei Dai Gang Ren Shiqian Li Ning Ji Xiangjun Zhu Fengwei Tian 2022Structural Durability & Health Monitoring2022,16,1:0
7APEX1 protects against oxidative damage-induced cardiomyocyte apoptosis显示文摘Apurine/pyrimidine-free endonuclease 1(APEX1)is a multifunctional enzyme that contributes to oxidization-mediated DNA-cleaved base excision repair and redox activation of transcription factors.However,the role of APEX1 during cardiomyocyte oxidative stress injury is not completely understood.In the present study,whether APEX1 protects oxidative damage-induced cardiomyocytes was investigated.mRNA and protein expression levels of APEX1 were downregulated in the mouse model of cardiac ischemia-reperfusion injury.Furthermore,the expression of APEX1 in hydrogen peroxide(H 2 O 2)-treated neonatal mice cardiomyocytes was also decreased.APEX1 knockdown aggravated H 2 O 2-treated cardiomyocyte apoptosis indexes.By contrast,APEX1 overexpression reversed H 2 O 2-induced oxidative damage,as demonstrated by decreased caspase 3 and Bax expression levels.Moreover,homeobox A5 upregulated APEX1.The results of the present study indicated that APEX1 displayed protective effects against oxidative damage,suggesting that APEX1 may serve as a unique protective strategy for cardiac ischemia-reperfusion injury.ZHAOHUI HU XIANGJUN DING YUYAO JI XIAOHONG LIU ZHIWEN DING 2021BIOCELL2021,45,3:0
8Education Platform of Congenital Heart Disease Based on Mixed Reality Technology显示文摘Recently the Mixed Reality (MR) technology has a rapid development and strong application prospect in various fields. This technology has been successfully applied in clinical work by means of surgical navigation and puncture positioning. However, there is few reports about MR technology’s applications in China. Therefore, based on the MR technology, a medical education platform was designed for related professions through the reconstruction of 3D heart model. Because of the various types of congenital heart diseases and the comprehensive medical knowledge system involved, it will start from congenital heart disease and expand to other organs later. The teaching mode was enriched and basic and clinical teaching materials were provided. And students’ interests were motivated and learning efficiency was strengthened. An equal communication mechanism between teachers and students was constructed. Experimental results show that both teachers and students benefit from this proposed platform.Yuwei Ji Xiangjun Zhang Hanze Tang Hao Luo Shengwei Zhao Zhaowen Qiu Qinghua Zhang Kun Wang Liwei Diao 2019国际计算机前沿大会会议论文集2019,,2:0
9Single-cell analysis reveals an Angpt4-initiated EPDC-EC-CM cellular coordination cascade during heart regeneration显示文摘Mammals exhibit limited heart regeneration ability,which can lead to heart failure after myocardial infarction.In contrast,zebrafish exhibit remarkable cardiac regeneration capacity.Several cell types and signaling pathways have been reported to participate in this process.However,a comprehensive analysis of how different cells and signals interact and coordinate to regulate cardiac regeneration is unavailable.We collected major cardiac cell types from zebrafish and performed high-precision single-cell transcriptome analyses during both development and post-injury regeneration.We revealed the cellular heterogeneity as well as the molecular progress of cardiomyocytes during these processes,and identified a subtype of atrial cardiomyocyte exhibiting a stem-like state which may transdifferentiate into ventricular cardiomyocytes during regeneration.Furthermore,we identified a regeneration-induced cell(RIC)population in the epicardium-derived cells(EPDC),and demonstrated Angiopoietin 4(Angpt4)as a specific regulator of heart regeneration.angpt4 expression is specifically and transiently activated in RIC,which initiates a signaling cascade from EPDC to endocardium through the Tie2-MAPK pathway,and further induces activation of cathepsin K in cardiomyocytes through RA signaling.Loss of angpt4 leads to defects in scar tissue resolution and cardiomyocyte proliferation,while overexpression of angpt4 accelerates regeneration.Furthermore,we found that ANGPT4 could enhance proliferation of neonatal rat cardiomyocytes,and promote cardiac repair in mice after myocardial infarction,indicating that the function of Angpt4 is conserved in mammals.Our study provides a mechanistic understanding of heart regeneration at single-cell precision,identifies Angpt4 as a key regulator of cardiomyocyte proliferation and regeneration,and offers a novel therapeutic target for improved recovery after human heart injuries.Zekai Wu Yuan Shi Yueli Cui Xin Xing Liya Zhang Da Liu Yutian Zhang Ji Dong Li Jin Meijun Pang Rui-Ping Xiao Zuoyan Zhu Jing-Wei Xiong Xiangjun Tong Yan Zhang Shiqiang Wang Fuchou Tang Bo Zhang 2023Protein & Cell2023,14,5:0
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