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Apatinib reduces liver cancer cell multidrug resistance by modulating NF-κB signaling pathway

BIOCELL 2024年第9期48卷 1331-1341页

作者： He, Xiaoxiao zhou, xueqing Zhang, Jinpeng Zhang, Mingfei Zeng, Danhong Zhang, Heng Yang, Shucai Huazhong Univ Sci & Technol Cent Hosp Wuhan Tongji Med Coll Dept Gastroenterol Wuhan 430022 Peoples R China Southern Med Univ Pingshan Hosp Pingshan Dist Peoples Hosp Shenzhen Dept Clin Lab Shenzhen 518118 Peoples R China

Objectives: This investigation aimed to elucidate the inhibitory impact of apatinib on the multidrug resistance of liver cancer both in vivo and in vitro. Methods: To establish a Hep3B/5-Fu resistant cell line, 5-Fu concentrations were gradually increased in the culture media. Hep3B/5-Fu cells drug resistance and its alleviation by apatinib were confirmed via flow cytometry and Cell Counting Kit 8 (CCK8) test. Further, Nuclear factor kappa B (NF-kappa B) siRNA was transfected into Hep3B/5-Fu cells to assess alterations in the expression of multidrug resistance (MDR)-related genes and proteins. Nude mice were injected with Hep3B/5-Fu cells to establish subcutaneous xenograft tumors and then categorized into 8 treatment groups. The treatments included oxaliplatin, 5-Fu, and apatinib. In the tumor tissues, the expression of MDRrelated genes was elucidated via qRT-PCR, immunohistochemistry, and Western blot analyses. Results: The apatinibtreated mice indicated slower tumor growth with smaller size compared to the control group. Both the in vivo and in vitro investigations revealed that the apatinib-treated groups had reduced expression of MDR genes GST-pi, LRP, MDR1, and p-p65. Conclusions: Apatinib effectively suppresses MDR in human hepatic cancer cells by modulating the expression of genes related to MDR, potentially by suppressing the NF-kappa B signaling pathway.

关键词： Apatinib Liver cancer Multidrug resistance NF-kappa B signaling pathway DRUG-RESISTANCE CHEMOTHERAPY SENSITIVITY EXPRESSION ADENOCARCINOMA PROGRESS THERAPY GENE

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Development of a rapid and efficient system for CR genes identification based on hairy root transformation in Brassicaceae

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Horticultural Plant Journal 2024年第4期10卷 1049-1060页

作者： Wenlin Yu Lu Yang Yuanyuan Xiang Rongde Li xueqing zhou Longcai Gan Xianyu Xiang Yunyun Zhang Lei Yuan Yanqing Luo Genze Li Youning Wang Yinhua Chen Peng Chen Chunyu Zhang National Key Laboratory of Crop Genetic Improvement and College of Plant Science and Technology Huazhong Agricultural UniversityWuhanHubei 430070China National Key Laboratory for Tropical Crop Breeding Sanya Nanfan Research InstituteHainan UniversitySanyaHainan 572025China National Agro-Tech Extension and Service Center Beijing 100125China Industrial Crops Research Institute Yunnan Academy of Agricultural SciencesKunmingYunnan 650221China College ofAgronomy NorthwestA&F UniversityYanglingShaanxi712100China

Many economically important crops and vegetables belonging to the cruciferous family are heavily endangered by clubroot disease caused by Plasmodiophora brassicae *** of clubroot resistant cultivars based on mapping and cloning of resistant genes is commonly regarded as the most cost-effective and efficient way to fight against this *** traditional way of R gene functional validation requires stable transformation that is both time-and *** this study,a rapid and efficient hairy-root transgenic protocol mediated by Agrobacterium rhizogenes was *** transformation positive rate was over 80%in Brassica napus showed by GUS reporter gene and this transformation only took 1/6 of the time compared with stable *** system was applicable to different *** varieties and other cruciferous crops including Brassica rapa and Brassica *** particular,two known CR genes,CRA3.7.1 and CRA8.2.4 were used respectively,as example to show that the system works well for CR gene study combined with subsequent *** infection in *** importantly,it works both in over-expression that led to disease resistance,as well as in RNAi which led to disease susceptible ***,this system can be used in batch-wise identification of CR genes,and also offered the possibility of manipulating key genes within the *** genome that could improve our knowledge on host-pathogen interaction.

关键词： Brassicaceae Agrobacterium rhizogenes Hairy root transformation Clubroot Gene function

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基于深度学习的多模态新闻数据主题发现研究

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数据分析与知识发现 2024年第3期8卷 85-97页

作者：倪亮吴鹏周雪晴南京理工大学网络空间安全学院南京210094 南京理工大学智能制造学院南京210094 南京理工大学经济管理学院南京210094

【目的】基于多模态学习方法,对新闻中文本和图片相结合内容,构建多模态主题模型,自动挖掘新闻中的潜在主题。【方法】采用结合词嵌入的主题模型,从图片和文本两方面进行主题建模,并且使用多模态联合表征学习和协同表征学习的方法进行... 详细信息

【目的】基于多模态学习方法,对新闻中文本和图片相结合内容,构建多模态主题模型,自动挖掘新闻中的潜在主题。【方法】采用结合词嵌入的主题模型,从图片和文本两方面进行主题建模,并且使用多模态联合表征学习和协同表征学习的方法进行特征融合。最后,对发现的多模态新闻主题进行可视化分析,结合N15News数据集进行实证研究。【结果】实验结果表明,相对于仅使用文本特征的Label-ETM,多模态主题建模方法可以获得更好的主题的可解释性和多样性。这说明多模态主题建模方法具有一定的可行性与合理性。【局限】本文假设新闻中的图片和文字在语义和主题上是相关的,在弱相关和不相关领域多模态融合方法仍需要改善。【结论】多模态主题建模可以发现不同模态数据之间的联系,提高发现主题的多样性。

关键词：主题模型多模态联合表征多模态协同表征新闻主题发现

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基于知识图谱的煤矿建设安全领域知识管理研究

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中国安全科学学报 2024年第5期34卷 28-35页

作者：许娜梁燕翔王亮赵丽丽周雪晴张博中国矿业大学力学与土木工程学院江苏徐州221116 中国矿业大学安全工程学院江苏徐州221116 上海勘测设计研究院有限公司上海200434 中国矿业大学计算机科学与技术学院江苏徐州221116

为解决煤矿建设过程中数据积累存在的知识冗余现象,研究基于知识图谱(KG)的安全领域知识管理。从安全管理系统结构和安全隐患风险管理2个维度,系统化分析领域标准规范文本,界定煤矿建设安全管理领域的12类实体类型和10种关系类型,完善... 详细信息

为解决煤矿建设过程中数据积累存在的知识冗余现象,研究基于知识图谱(KG)的安全领域知识管理。从安全管理系统结构和安全隐患风险管理2个维度,系统化分析领域标准规范文本,界定煤矿建设安全管理领域的12类实体类型和10种关系类型,完善知识结构模式;选取领域43部标准规范为数据源,引入规则、机器学习法、深度学习法识别文本实体和关系;针对不同实体类型,提出领域知识综合方法框架,并对比分析双向长短期记忆(BiLSTM)和条件随机场(CRF)与双向编码器表示(BERT)-BiLSTM-CRF模型。研究结果表明:BERT-BiLSTM-CRF模型在准确率、召回率和F1值方面均比BiLSTM-CRF模型高出7%,验证了所选模型的优越性和准确性;通过知识抽取、知识存储及可视化等过程,挖掘出煤矿建设安全领域不同实体类型所包含的实体和不同实体间的关系。

关键词：知识图谱(KG) 煤矿建设安全领域安全管理知识结构实体类型

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Saturation evaluation for fine-grained sediments

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Geoscience Frontiers 2023年第4期14卷 57-71页

作者： Linqi Zhu Shiguo Wu xueqing zhou Jianchao Cai Key Laboratory of Marine Geophysics and Georesource Institute of Deep-sea Science and EngineeringChinese Academy of SciencesSanya 572000China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519000China University of Chinese Academy of Sciences Beijing 100049China Sanya Institute of Deep-sea Science and Engineering Chinese Academy of SciencesSanya 572000China State Key Laboratory of Petroleum Resources and Prospecting China University of PetroleumBeijing 102249China

Accurate quantification of the gas hydrate content in the deep sea is useful for assessing the resource potential and understanding the role of gas hydrates in the global carbon *** logging data combined with Archie’s equation are often used to calculate gas hydrate saturation,but the reliability is dependent on the rationality of the empirical parameter cementation factor and saturation *** present,an increasing number of fine-grained hydrate-rich sediment regions have been discovered worldwide through drilling efforts,and the reservoir types and hydrate distribution are diverse,which differs greatly from that of coarse-grained reservoirs of hydrate-bearing *** results in vertical variations in m and n through *** present,the saturation evaluation effect of these reservoirs cannot be *** this work,a theory for the determination of the cementation factor and saturation index was first proposed to obtain reliable and variable values of the empirical ***,a hydrate saturation evaluation technique with variables m and n was formed based on the well logging *** technique was used to evaluate complex fine-grained hydrate-bearing reservoirs in several regions *** was found that the highest n could be 16,and the log calculation results were more consistent with the core hydrate ***,the cause of the excessively high n values was explained from physical principles,and the result was verified with actually well log *** future evaluations of the amount of hydrate resources in fine-grained sediment reservoirs worldwide,new saturation estimation methods should be taken into account to advance hydrate research.

关键词： Hydrate Fine-grained Cementation factor Saturation index Archie Petrophysics

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Total organic carbon content logging prediction based on machine learning:A brief review

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能源地球科学(英文) 2023年第2期4卷 100-107页

作者： Linqi Zhu xueqing zhou Weinan Liu Zheng Kong Institute of Deep-sea Science and Engineering Chinese Academy of SciencesSanyaHainan572000China Southern Marine Science and Engineering Guangdong Laboratory Zhuhai ZhuhaiGuangdong519000China CNOOC China Limited LtdShenzhen BranchShenzhen518054China Exploration and Development Research Institute Shengli Oilfield CompanySINOPECDongyingShandong257029China

The total organic carbon content usually determines the hydrocarbon generation potential of a formation.A higher total organic carbon content often corresponds to a greater possibility of generating large amounts of oil or ***,accurately calculating the total organic carbon content in a formation is very *** research is focused on precisely calculating the total organic carbon content based on machine *** present,many machine learning methods,including backpropagation neural networks,support vector regression,random forests,extreme learning machines,and deep learning,are employed to evaluate the total organic carbon ***,the principles and perspectives of various machine learning algorithms are quite *** paper reviews the application of various machine learning algorithms to deal with total organic carbon content evaluation *** various machine learning algorithms used for TOC content predication,two algorithms,the backpropagation neural network and support vector regression are the most commonly used,and the backpropagation neural network is sometimes combined with many other algorithms to achieve better ***,combining multiple algorithms or using deep learning to increase the number of network layers can further improve the total organic carbon content *** prediction by backpropagation neural network may be better than that by support vector regression;nevertheless,using any type of machine learning algorithm improves the total organic carbon content prediction in a given research *** to some published literature,the determination coefficient(R^(2))can be increased by up to 0.46 after using machine *** learning algorithms may be the next breakthrough direction that can significantly improve the prediction of the total organic carbon *** the total organic carbon content based on machine learning is of great significance.

关键词： Total organic carbon content Well logging Machine learning Backpropagation neural network Support vector regression

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提高煤系页岩储层TOC计算精度的改进方法

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石油物探 2024年第4期63卷 817-825页

作者：李梦蕾张超谟石文睿周雪晴虞成罗意淳长江大学地球物理与石油资源学院湖北武汉430100 长江大学油气资源与勘探技术教育部重点实验室湖北武汉430100 中国科学院深海科学与工程研究所海南三亚572000 中国石油川庆钻探工程有限公司苏里格项目经理部四川成都610051

总有机碳含量(TOC)是决定烃源岩质量的最重要参数。为了准确评价煤系页岩气储层的TOC参数,以四川盆地Q区龙潭组C1井海陆过渡相页岩气储层为例,对提高储层TOC参数计算精度的方法进行了研究。根据研究区的地质特点,结合自然伽马能谱测井数... 详细信息

总有机碳含量(TOC)是决定烃源岩质量的最重要参数。为了准确评价煤系页岩气储层的TOC参数,以四川盆地Q区龙潭组C1井海陆过渡相页岩气储层为例,对提高储层TOC参数计算精度的方法进行了研究。根据研究区的地质特点,结合自然伽马能谱测井数据,对原始Δlog R方法进行改进,形成了基于自然伽马能谱测井的双Δlog R方法。首先,将岩心TOC数据按岩性分为煤层和非煤层,然后,将自然伽马能谱测井数据(钍钾比(Th/K)和钍铀比(Th/U))分别与煤层TOC和非煤层TOC进行相关性分析,各自选择最高相关性的数据与Δlog R拟合,计算煤层和非煤层的TOC。结果表明,基于自然伽马能谱测井的双Δlog R方法和传统方法相比,C1井煤层和非煤层TOC计算相关性最高可以提高到0.78和0.85,煤层和非煤层TOC的绝对误差最低都可以降到0.01%,煤层和非煤层TOC的相对误差降低到14.93%和12.53%。将基于自然伽马能谱测井的双Δlog R方法应用于四川盆地S区Y组C2井,取得了较好的效果。改进的方法适用于研究区页岩气储层黏土含量高,非均质性强,且存在黑色煤层的页岩储层,有效弥补TOC与铀(U)含量无明显相关性的不足,具有较好的适用性和推广性,可以有效辅助研究区页岩气储层的勘探开发。

关键词：总有机碳含量页岩气煤系页岩页岩储层四川盆地海陆过渡相

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Controllable coating NiAl-layered double hydroxides on carbon nanofibers as anticorrosive microwave absorbers

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Journal of Materials Science & Technology 2023年第20期151卷 109-118页

作者： Ying Zhang Liang Li Changlong Du Gengping Wan Qiyi Wei xueqing zhou Yanran Su Yang Xu Guizhen Wang State Key Laboratory of Marine Resource Utilization in South China Sea School of Chemical Engineering and TechnologyHainan UniversityHaikou 570228China Collaborative Innovation Center of Ecological Civilization Hainan UniversityHaikou 570228China

For harsh real-world service settings,it is essential to build corrosion-resistant,diverse,and effective microwave ***,we successfully prepared a 3D NiAl-layered double hydroxide/carbon nanofibers(NiAl-LDH/CNFs)composite material as an anticorrosive microwave absorber assisted by an atomic layer deposition(ALD)*** size,coating thickness,and content of NiAl-LDH can be readily adjusted by changing the ALD cycling *** optimized NiAl-LDH/CNFs demonstrates prominent microwave absorbing properties including the strongest reflection loss of–55.65 dB and the widest effective absorption bandwidth of 4.80 GHz with only 15 wt%*** reasons for performance improvement are the cooperative effect of interfacial polarization loss,conduction loss,and three-dimensional porous ***,due to the synergistic effects between the excellent impermeability of CNFs and the trapping ability of NiAl-LDH for chloride ions,NiAl-LDH/CNFs exhibits strong corrosion resistances under acidic,neutral,and alkaline ***-LDH/CNFs should be a potential candidate to simultaneously use for microwave absorption and corrosion resistance,and this work provides a certain guiding significance for designing microwave absorbers that satisfy the corrosion resistance.

关键词： Microwave absorption Anticorrosion Atomic layer deposition(ALD) Double layered hydroxides(LDHs) Carbon nanofibers(CNFs)

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Erratum to: Inhibition of chemotherapy-related breast tumor EMT by application of redox-sensitive siRNA delivery system CSO-ss-SA/siRNA along with doxorubicin treatment

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2022年第2期23卷 171-172页

作者： Xuan LIU xueqing zhou Xuwei SHANG Li WANG Yi LI Hong YUAN Fuqiang HU College of Pharmaceutical Science Zhejiang UniversityHangzhou 310058China

The original version of this article(Liu et al.,2020)unfortunately contained some ***.7c and 7d in p.229 were *** upper left and bottom left pictures in Fig.7c were accidentally duplicated with the pictures at the sam... 详细信息

关键词： treatment picture

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基于签名曲线的相位差计算方法研究

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河北电力技术 2024年第3期43卷 39-43页

作者：张韶光周雪青师元康高飞赵东杰国网河北省电力有限公司超高压分公司河北石家庄050071 国网河北省电力有限公司电力科学研究院河北石家庄050021 石家庄科林智控科技有限公司河北石家庄050222

在新老设备二次电压对比时,现有递进式二次核相方法不能定量计算相位差。为准确计算相位差,研究应用了签名曲线算法,首先依托该算法计算出新老设备电压曲线之间的相似度,结合正弦电压曲线的对称性和单调性,推导了相似度和相位差之间的... 详细信息

在新老设备二次电压对比时,现有递进式二次核相方法不能定量计算相位差。为准确计算相位差,研究应用了签名曲线算法,首先依托该算法计算出新老设备电压曲线之间的相似度,结合正弦电压曲线的对称性和单调性,推导了相似度和相位差之间的线性关系,进而准确计算两曲线间的相位差,实现各类接线形式下的二次核相工作。

关键词：二次核相签名曲线相似度相位差

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