目的:探讨岩藻多糖对胰腺癌的影响,并分析其机制。方法:MTT法分析细胞增殖抑制率,GEPIA数据库分析G3BP1在胰腺癌组织中的表达水平及与生存率的关系。qRT-PCR分析GTP酶激活蛋白结合蛋白1(Ras-GTPase-activating protein binding proteins...目的:探讨岩藻多糖对胰腺癌的影响,并分析其机制。方法:MTT法分析细胞增殖抑制率,GEPIA数据库分析G3BP1在胰腺癌组织中的表达水平及与生存率的关系。qRT-PCR分析GTP酶激活蛋白结合蛋白1(Ras-GTPase-activating protein binding proteins,G3BP1)水平,Western blot法分析p-NF-κBp65、NF-κBp65和IκB-α水平。免疫共沉淀检测G3BP1与p-NF-κBp65之间相互作用。敲低或G3BP1过表达,观察其对岩藻多糖调控细胞增殖以及NF-κB信号通路的影响。裸鼠成瘤实验验证岩藻多糖对裸鼠体内瘤体的瘤重、瘤体积及G3BP1、p-NF-κBp65、NF-κBp65和IκBα水平的影响。结果:1~32μg/mL岩藻多糖抑制capan-1细胞增殖,岩藻多糖48 h IC_(50)为7.729μg/mL。G3BP1在胰腺癌肿瘤组织中的表达明显高于正常组织,G3BP1高表达患者的生存率低于G3BP1低表达患者。2、4、8μg/mL岩藻多糖能下调G3BP1、p-NF-κBp65,上调IκBα水平。Co-IP实验发现G3BP1与p-NF-κBp65相互结合,并且岩藻多糖作用后结合能力降低。敲低G3BP1能促进岩藻多糖抑制capan-1细胞增殖,下调G3BP1、p-NF-κBp65,上调IκBα水平(P<0.05);G3BP过表达能下调岩藻多糖抑制capan-1细胞增殖效果,上调G3BP1、p-NF-κBp65,下调IκBα水平(P<0.05)。体内实验显示,敲低G3BP1能促进岩藻多糖减少瘤体体积、瘤体质量,下调瘤体G3BP1、p-NF-κBp65,上调IκBα水平(P<0.05)。结论:岩藻多糖抑制capan-1细胞增殖,对体内移植瘤抑瘤效果显著,其机制与调控G3BP1/NF-κB信号通路有关。展开更多
目的ATP结合盒B亚家族成员1(ATP binding cassette subfamily B member 1,ABCB1)的异常表达在多种癌症的发生发展中发挥关键作用。然而,G蛋白偶联受体C家族5组A型(G protein coupled receptor family C group5 type A,GPRC5A)调控的ABCB...目的ATP结合盒B亚家族成员1(ATP binding cassette subfamily B member 1,ABCB1)的异常表达在多种癌症的发生发展中发挥关键作用。然而,G蛋白偶联受体C家族5组A型(G protein coupled receptor family C group5 type A,GPRC5A)调控的ABCB1表达对肺腺癌增殖的影响仍不清楚。本研究探讨了GPRC5A调控的ABCB1表达对肺腺癌增殖的影响。方法我们采用RT-PCR、Western-blot或免疫组化实验,分析ABCB1在肺腺癌细胞系、人肺腺癌组织以及GPRC5A基因敲除小鼠和野生型小鼠的气管上皮细胞和肺组织中的表达。采用细胞计数试剂盒-8(CCK-8)分析GPRC5A基因敲除小鼠气管上皮细胞对化疗药物的敏感性。采用皮下肿瘤形成实验探讨下调ABCB1表达是否可抑制体内肺腺癌增殖。采用免疫荧光和免疫沉淀实验研究GPRC5A和ABCB1之间潜在的调控关系。结果ABCB1在肺腺癌细胞系和人类肺腺癌组织中表达上调。GPRC5A基因敲除小鼠的气管上皮细胞及肺组织的ABCB1表达高于野生型小鼠。与GPRC5A野生型小鼠的气管上皮细胞相比,GPRC5A基因敲除小鼠的气管上皮细胞对塔立奇达和多柔比星更敏感。注射移植细胞28天后,接受ABCB1基因敲除细胞移植的GPRC5A-/-C57BL/6小鼠的肺肿瘤的体积和重量均明显低于野生型细胞移植小鼠(P=0.0043,P=0.0060)。此外,免疫荧光和免疫沉淀实验表明,GPRC5A通过直接结合方式调控ABCB1的表达。结论GPRC5A通过抑制ABCB1表达降低肺腺癌增殖。GPRC5A调节ABCB1表达的途径有待研究。展开更多
Students'demand for online learning has exploded during the post-COvID-19 pandemic era.However,due to their poor learning experience,students'dropout rate and learning performance of online learning are not al...Students'demand for online learning has exploded during the post-COvID-19 pandemic era.However,due to their poor learning experience,students'dropout rate and learning performance of online learning are not always satisfactory.The technical advantages of Beyond Fifth Generation(B5G)can guarantee a good multimedia Quality of Experience(QoE).As a special case of multimedia services,online learning takes into account both the usability of the service and the cognitive development of the users.Factors that affect the Quality of Online Learning Experience(OL-QoE)become more complicated.To get over this dilemma,we propose a systematic scheme by integrating big data,Machine Learning(ML)technologies,and educational psychology theory.Specifically,we first formulate a general definition of OL-QoE by data analysis and experimental verification.This formula considers both the subjective and objective factors(i.e.,video watching ratio and test scores)that most affect OLQoE.Then,we induce an extended layer to the classic Broad Learning System(BLS)to construct an Extended Broad Learning System(EBLS)for the students'OL-QoE prediction.Since the extended layer can increase the width of the BLS model and reduce the redundant nodes of BLS,the proposed EBLS can achieve a trade-off between the prediction accuracy and computation complexity.Finally,we provide a series of early intervention suggestions for different types of students according to their predicted OL-QoE values.Through timely interventions,their OL-QoE and learning performance can be improved.Experimental results verify the effectiveness oftheproposed scheme.展开更多
In Beyond the Fifth Generation(B5G)heterogeneous edge networks,numerous users are multiplexed on a channel or served on the same frequency resource block,in which case the transmitter applies coding and the receiver u...In Beyond the Fifth Generation(B5G)heterogeneous edge networks,numerous users are multiplexed on a channel or served on the same frequency resource block,in which case the transmitter applies coding and the receiver uses interference cancellation.Unfortunately,uncoordinated radio resource allocation can reduce system throughput and lead to user inequity,for this reason,in this paper,channel allocation and power allocation problems are formulated to maximize the system sum rate and minimum user achievable rate.Since the construction model is non-convex and the response variables are high-dimensional,a distributed Deep Reinforcement Learning(DRL)framework called distributed Proximal Policy Optimization(PPO)is proposed to allocate or assign resources.Specifically,several simulated agents are trained in a heterogeneous environment to find robust behaviors that perform well in channel assignment and power allocation.Moreover,agents in the collection stage slow down,which hinders the learning of other agents.Therefore,a preemption strategy is further proposed in this paper to optimize the distributed PPO,form DP-PPO and successfully mitigate the straggler problem.The experimental results show that our mechanism named DP-PPO improves the performance over other DRL methods.展开更多
BACKGROUND Phospholipase A2(PLA2)enzymes are pivotal in various biological processes,such as lipid mediator production,membrane remodeling,bioenergetics,and maintaining the body surface barrier.Notably,these enzymes p...BACKGROUND Phospholipase A2(PLA2)enzymes are pivotal in various biological processes,such as lipid mediator production,membrane remodeling,bioenergetics,and maintaining the body surface barrier.Notably,these enzymes play a significant role in the development of diverse tumors.AIM To systematically and comprehensively explore the expression of the PLA2 family genes and their potential implications in cholangiocarcinoma(CCA).METHODS We conducted an analysis of five CCA datasets from The Cancer Genome Atlas and the Gene Expression Omnibus.The study identified differentially expressed genes between tumor tissues and adjacent normal tissues,with a focus on PLA2G2A and PLA2G12B.Gene Set Enrichment Analysis was utilized to pinpoint associated pathways.Moreover,relevant hub genes and microRNAs for PLA2G2A and PLA2G12B were predicted,and their correlation with the prognosis of CCA was evaluated.RESULTS PLA2G2A and PLA2G12B were discerned as differentially expressed in CCA,manifesting significant variations in expression levels in urine and serum between CCA patients and healthy individuals.Elevated expression of PLA2G2A was correlated with poorer overall survival in CCA patients.Additionally,the study delineated pathways and miRNAs associated with these genes.CONCLUSION Our findings suggest that PLA2G2A and PLA2G12B may serve as novel potential diagnostic and prognostic markers for CCA.The increased levels of these genes in biological fluids could be employed as non-invasive markers for CCA,and their expression levels are indicative of prognosis,underscoring their potential utility in clinical settings.展开更多
Beyond-5G(B5G)aims to meet the growing demands of mobile traffic and expand the communication space.Considering that intelligent applications to B5G wireless communications will involve security issues regarding user ...Beyond-5G(B5G)aims to meet the growing demands of mobile traffic and expand the communication space.Considering that intelligent applications to B5G wireless communications will involve security issues regarding user data and operational data,this paper analyzes the maximum capacity of the multi-watermarking method for multimedia signal hiding as a means of alleviating the information security problem of B5G.The multiwatermarking process employs spread transform dither modulation.During the watermarking procedure,Gram-Schmidt orthogonalization is used to obtain the multiple spreading vectors.Consequently,multiple watermarks can be simultaneously embedded into the same position of a multimedia signal.Moreover,the multiple watermarks can be extracted without affecting one another during the extraction process.We analyze the effect of the size of the spreading vector on the unit maximum capacity,and consequently derive the theoretical relationship between the size of the spreading vector and the unit maximum capacity.A number of experiments are conducted to determine the optimal parameter values for maximum robustness on the premise of high capacity and good imperceptibility.展开更多
Satellite communications, pivotal for global connectivity, are increasingly converging with cutting-edge mobile networks, notably 5G, B5G, and 6G. This amalgamation heralds the promise of universal, high-velocity comm...Satellite communications, pivotal for global connectivity, are increasingly converging with cutting-edge mobile networks, notably 5G, B5G, and 6G. This amalgamation heralds the promise of universal, high-velocity communication, yet it is not without its challenges. Paramount concerns encompass spectrum allocation, the harmonization of network architectures, and inherent latency issues in satellite transmissions. Potential mitigations, such as dynamic spectrum sharing and the deployment of edge computing, are explored as viable solutions. Looking ahead, the advent of quantum communications within satellite frameworks and the integration of AI spotlight promising research trajectories. These advancements aim to foster a seamless and synergistic coexistence between satellite communications and next-gen mobile networks.展开更多
Backscatter communications will play an important role in connecting everything for beyond 5G(B5G)and 6G systems.One open challenge for backscatter communications is that the signals suffer a round-trip path loss so t...Backscatter communications will play an important role in connecting everything for beyond 5G(B5G)and 6G systems.One open challenge for backscatter communications is that the signals suffer a round-trip path loss so that the communication distance is short.In this paper,we first calculate the communication distance upper bounds for both uplink and downlink by measuring the tag sensitivity and reflection coefficient.It is found that the activation voltage of the envelope detection diode of the downlink tag is the main factor limiting the back-scatter communication distance.Based on this analysis,we then propose to implement a low-noise amplifier(LNA)module before the envelope detection at the tag to enhance the incident signal strength.Our experimental results on the hardware platform show that our method can increase the downlink communication range by nearly 20 m.展开更多
文摘目的:探讨岩藻多糖对胰腺癌的影响,并分析其机制。方法:MTT法分析细胞增殖抑制率,GEPIA数据库分析G3BP1在胰腺癌组织中的表达水平及与生存率的关系。qRT-PCR分析GTP酶激活蛋白结合蛋白1(Ras-GTPase-activating protein binding proteins,G3BP1)水平,Western blot法分析p-NF-κBp65、NF-κBp65和IκB-α水平。免疫共沉淀检测G3BP1与p-NF-κBp65之间相互作用。敲低或G3BP1过表达,观察其对岩藻多糖调控细胞增殖以及NF-κB信号通路的影响。裸鼠成瘤实验验证岩藻多糖对裸鼠体内瘤体的瘤重、瘤体积及G3BP1、p-NF-κBp65、NF-κBp65和IκBα水平的影响。结果:1~32μg/mL岩藻多糖抑制capan-1细胞增殖,岩藻多糖48 h IC_(50)为7.729μg/mL。G3BP1在胰腺癌肿瘤组织中的表达明显高于正常组织,G3BP1高表达患者的生存率低于G3BP1低表达患者。2、4、8μg/mL岩藻多糖能下调G3BP1、p-NF-κBp65,上调IκBα水平。Co-IP实验发现G3BP1与p-NF-κBp65相互结合,并且岩藻多糖作用后结合能力降低。敲低G3BP1能促进岩藻多糖抑制capan-1细胞增殖,下调G3BP1、p-NF-κBp65,上调IκBα水平(P<0.05);G3BP过表达能下调岩藻多糖抑制capan-1细胞增殖效果,上调G3BP1、p-NF-κBp65,下调IκBα水平(P<0.05)。体内实验显示,敲低G3BP1能促进岩藻多糖减少瘤体体积、瘤体质量,下调瘤体G3BP1、p-NF-κBp65,上调IκBα水平(P<0.05)。结论:岩藻多糖抑制capan-1细胞增殖,对体内移植瘤抑瘤效果显著,其机制与调控G3BP1/NF-κB信号通路有关。
文摘目的ATP结合盒B亚家族成员1(ATP binding cassette subfamily B member 1,ABCB1)的异常表达在多种癌症的发生发展中发挥关键作用。然而,G蛋白偶联受体C家族5组A型(G protein coupled receptor family C group5 type A,GPRC5A)调控的ABCB1表达对肺腺癌增殖的影响仍不清楚。本研究探讨了GPRC5A调控的ABCB1表达对肺腺癌增殖的影响。方法我们采用RT-PCR、Western-blot或免疫组化实验,分析ABCB1在肺腺癌细胞系、人肺腺癌组织以及GPRC5A基因敲除小鼠和野生型小鼠的气管上皮细胞和肺组织中的表达。采用细胞计数试剂盒-8(CCK-8)分析GPRC5A基因敲除小鼠气管上皮细胞对化疗药物的敏感性。采用皮下肿瘤形成实验探讨下调ABCB1表达是否可抑制体内肺腺癌增殖。采用免疫荧光和免疫沉淀实验研究GPRC5A和ABCB1之间潜在的调控关系。结果ABCB1在肺腺癌细胞系和人类肺腺癌组织中表达上调。GPRC5A基因敲除小鼠的气管上皮细胞及肺组织的ABCB1表达高于野生型小鼠。与GPRC5A野生型小鼠的气管上皮细胞相比,GPRC5A基因敲除小鼠的气管上皮细胞对塔立奇达和多柔比星更敏感。注射移植细胞28天后,接受ABCB1基因敲除细胞移植的GPRC5A-/-C57BL/6小鼠的肺肿瘤的体积和重量均明显低于野生型细胞移植小鼠(P=0.0043,P=0.0060)。此外,免疫荧光和免疫沉淀实验表明,GPRC5A通过直接结合方式调控ABCB1的表达。结论GPRC5A通过抑制ABCB1表达降低肺腺癌增殖。GPRC5A调节ABCB1表达的途径有待研究。
基金supported by Postgraduate Research&Practice Innovation Program of Jiangsu Province(Grant No.KYCX20_0733)Education Reform Foundation of Jiangsu Province(Grant No.2021JSJG364)+1 种基金Key Education Reform Foundation of NJUPT(Grant No.JG00220JX02,JG00218JX03,JG00215JX01,JG00214JX52)the Priority Academic Program Development of Jiangsu Higher Education Institutions。
文摘Students'demand for online learning has exploded during the post-COvID-19 pandemic era.However,due to their poor learning experience,students'dropout rate and learning performance of online learning are not always satisfactory.The technical advantages of Beyond Fifth Generation(B5G)can guarantee a good multimedia Quality of Experience(QoE).As a special case of multimedia services,online learning takes into account both the usability of the service and the cognitive development of the users.Factors that affect the Quality of Online Learning Experience(OL-QoE)become more complicated.To get over this dilemma,we propose a systematic scheme by integrating big data,Machine Learning(ML)technologies,and educational psychology theory.Specifically,we first formulate a general definition of OL-QoE by data analysis and experimental verification.This formula considers both the subjective and objective factors(i.e.,video watching ratio and test scores)that most affect OLQoE.Then,we induce an extended layer to the classic Broad Learning System(BLS)to construct an Extended Broad Learning System(EBLS)for the students'OL-QoE prediction.Since the extended layer can increase the width of the BLS model and reduce the redundant nodes of BLS,the proposed EBLS can achieve a trade-off between the prediction accuracy and computation complexity.Finally,we provide a series of early intervention suggestions for different types of students according to their predicted OL-QoE values.Through timely interventions,their OL-QoE and learning performance can be improved.Experimental results verify the effectiveness oftheproposed scheme.
基金supported by the Key Research and Development Program of China(No.2022YFC3005401)Key Research and Development Program of China,Yunnan Province(No.202203AA080009,202202AF080003)Postgraduate Research&Practice Innovation Program of Jiangsu Province(No.KYCX21_0482).
文摘In Beyond the Fifth Generation(B5G)heterogeneous edge networks,numerous users are multiplexed on a channel or served on the same frequency resource block,in which case the transmitter applies coding and the receiver uses interference cancellation.Unfortunately,uncoordinated radio resource allocation can reduce system throughput and lead to user inequity,for this reason,in this paper,channel allocation and power allocation problems are formulated to maximize the system sum rate and minimum user achievable rate.Since the construction model is non-convex and the response variables are high-dimensional,a distributed Deep Reinforcement Learning(DRL)framework called distributed Proximal Policy Optimization(PPO)is proposed to allocate or assign resources.Specifically,several simulated agents are trained in a heterogeneous environment to find robust behaviors that perform well in channel assignment and power allocation.Moreover,agents in the collection stage slow down,which hinders the learning of other agents.Therefore,a preemption strategy is further proposed in this paper to optimize the distributed PPO,form DP-PPO and successfully mitigate the straggler problem.The experimental results show that our mechanism named DP-PPO improves the performance over other DRL methods.
基金Supported by the Key Specialty Construction Project of Shanghai Pudong New Area Health Commission,No.PWZzk2022-17Shanghai East Hospital Clinical Research Project,No.DFLC2022019and the Featured Clinical Discipline Project of Shanghai Pudong District,No.PWYts2021-06.
文摘BACKGROUND Phospholipase A2(PLA2)enzymes are pivotal in various biological processes,such as lipid mediator production,membrane remodeling,bioenergetics,and maintaining the body surface barrier.Notably,these enzymes play a significant role in the development of diverse tumors.AIM To systematically and comprehensively explore the expression of the PLA2 family genes and their potential implications in cholangiocarcinoma(CCA).METHODS We conducted an analysis of five CCA datasets from The Cancer Genome Atlas and the Gene Expression Omnibus.The study identified differentially expressed genes between tumor tissues and adjacent normal tissues,with a focus on PLA2G2A and PLA2G12B.Gene Set Enrichment Analysis was utilized to pinpoint associated pathways.Moreover,relevant hub genes and microRNAs for PLA2G2A and PLA2G12B were predicted,and their correlation with the prognosis of CCA was evaluated.RESULTS PLA2G2A and PLA2G12B were discerned as differentially expressed in CCA,manifesting significant variations in expression levels in urine and serum between CCA patients and healthy individuals.Elevated expression of PLA2G2A was correlated with poorer overall survival in CCA patients.Additionally,the study delineated pathways and miRNAs associated with these genes.CONCLUSION Our findings suggest that PLA2G2A and PLA2G12B may serve as novel potential diagnostic and prognostic markers for CCA.The increased levels of these genes in biological fluids could be employed as non-invasive markers for CCA,and their expression levels are indicative of prognosis,underscoring their potential utility in clinical settings.
基金funded by The National Natural Science Foundation of China under Grant(No.62273108,62306081)The Youth Project of Guangdong Artificial Intelligence and Digital Economy Laboratory(Guangzhou)(PZL2022KF0006)+3 种基金The National Key Research and Development Program of China(2022YFB3604502)Special Fund Project of GuangzhouScience and Technology Innovation Development(202201011307)Guangdong Province Industrial Internet Identity Analysis and Construction Guidance Fund Secondary Node Project(1746312)Special Projects in Key Fields of General Colleges and Universities in Guangdong Province(2021ZDZX1016).
文摘Beyond-5G(B5G)aims to meet the growing demands of mobile traffic and expand the communication space.Considering that intelligent applications to B5G wireless communications will involve security issues regarding user data and operational data,this paper analyzes the maximum capacity of the multi-watermarking method for multimedia signal hiding as a means of alleviating the information security problem of B5G.The multiwatermarking process employs spread transform dither modulation.During the watermarking procedure,Gram-Schmidt orthogonalization is used to obtain the multiple spreading vectors.Consequently,multiple watermarks can be simultaneously embedded into the same position of a multimedia signal.Moreover,the multiple watermarks can be extracted without affecting one another during the extraction process.We analyze the effect of the size of the spreading vector on the unit maximum capacity,and consequently derive the theoretical relationship between the size of the spreading vector and the unit maximum capacity.A number of experiments are conducted to determine the optimal parameter values for maximum robustness on the premise of high capacity and good imperceptibility.
文摘Satellite communications, pivotal for global connectivity, are increasingly converging with cutting-edge mobile networks, notably 5G, B5G, and 6G. This amalgamation heralds the promise of universal, high-velocity communication, yet it is not without its challenges. Paramount concerns encompass spectrum allocation, the harmonization of network architectures, and inherent latency issues in satellite transmissions. Potential mitigations, such as dynamic spectrum sharing and the deployment of edge computing, are explored as viable solutions. Looking ahead, the advent of quantum communications within satellite frameworks and the integration of AI spotlight promising research trajectories. These advancements aim to foster a seamless and synergistic coexistence between satellite communications and next-gen mobile networks.
基金supported in part by National Natural Science Foundation of China under Grant Nos.61971029 and U22B2004in part by Beijing Municipal Natural Science Foundation under Grant No.L222002.
文摘Backscatter communications will play an important role in connecting everything for beyond 5G(B5G)and 6G systems.One open challenge for backscatter communications is that the signals suffer a round-trip path loss so that the communication distance is short.In this paper,we first calculate the communication distance upper bounds for both uplink and downlink by measuring the tag sensitivity and reflection coefficient.It is found that the activation voltage of the envelope detection diode of the downlink tag is the main factor limiting the back-scatter communication distance.Based on this analysis,we then propose to implement a low-noise amplifier(LNA)module before the envelope detection at the tag to enhance the incident signal strength.Our experimental results on the hardware platform show that our method can increase the downlink communication range by nearly 20 m.
