目的探讨食管鳞癌组织中microRNA let-7a-3甲基化状态与血浆中类胰岛素样生长因子2(Insulin like growth factor 2,IGF-Ⅱ)表达的相关性。方法采用甲基化特异性PCR法(Methylation specific PCR,qMSP)检测83例食管癌及相对应的癌旁正常...目的探讨食管鳞癌组织中microRNA let-7a-3甲基化状态与血浆中类胰岛素样生长因子2(Insulin like growth factor 2,IGF-Ⅱ)表达的相关性。方法采用甲基化特异性PCR法(Methylation specific PCR,qMSP)检测83例食管癌及相对应的癌旁正常组织中let-7a-3甲基化状态,采用酶联免疫吸附试验(Enzyme linked immunosorbent assay,ELISA)检测血浆中IGF-Ⅱ的表达水平。结果83例食管鳞癌患者癌组织中的microRNA let-7a-3甲基化程度显著高于癌旁正常组织(P<0.001)。83例食管鳞癌患者血浆中IGF-Ⅱ的表达水平与let-7a-3基因的甲基化程度总体上呈正相关,具有统计学意义(r=0.600,P<0.001)。结论microRNA let-7a-3可能通过对下游分子的甲基化调控参与食管鳞癌的发生发展,这对了解食管鳞癌形成的机制具有重要意义,可为食管鳞癌的诊断和预后提供依据。展开更多
[目的]研究微小RNA let-7a(microRNA let-7a,miR-let-7a)对脂磷壁酸(Lipoteichoic acid,LTA)诱导的炎性奶牛乳腺上皮细胞(MAC-T)的增殖和凋亡作用。[方法]通过实时荧光定量PCR(Quantitative real time polymerase chain reaction,qRT-P...[目的]研究微小RNA let-7a(microRNA let-7a,miR-let-7a)对脂磷壁酸(Lipoteichoic acid,LTA)诱导的炎性奶牛乳腺上皮细胞(MAC-T)的增殖和凋亡作用。[方法]通过实时荧光定量PCR(Quantitative real time polymerase chain reaction,qRT-PCR)、实时细胞分析仪和流式细胞术检测过表达和抑制表达miR-let-7a在炎性MAC-T中的影响。[结果]qRT-PCR检测结果显示,转染miR-let-7a模拟物会使炎性MAC-T细胞中miR-let-7a的表达量极显著上调(P<0.001),转染miR-let-7a抑制剂会使细胞中miR-let-7a的表达量极显著下降(P<0.001);RTCA结果显示,转染miR-let-7a模拟物能明显促进MAC-T细胞增殖,转染miR-let-7a抑制物会使MAC-T细胞的增殖受到抑制;流式细胞术结果显示,转染miR-let-7a模拟物的MAC-T细胞的凋亡率显著降低(P<0.01);而转染miR-let-7a抑制剂则与之相反,MAC-T细胞的凋亡率显著升高(P<0.01)。即过表达miR-let-7a可以促进MAC-T细胞增殖,并降低细胞的凋亡率。而抑制表达miR-let-7a的作用与之相反,抑制表达miR-let-7a使MAC-T细胞的增殖下降,细胞的凋亡率增大。[结论]miR-let-7a是一种抑制炎症调节因子,其过表达可以缓解奶牛乳腺炎,为阐明奶牛乳腺炎的分子调控机制奠定基础。展开更多
Scarlet fever(SF)is a common infectious disease caused by group A streptococcus(GAS)[1].During the 18th and 19th centuries,SF was a significant cause of mortality in children aged 5-15 years worldwide[2].The incidence...Scarlet fever(SF)is a common infectious disease caused by group A streptococcus(GAS)[1].During the 18th and 19th centuries,SF was a significant cause of mortality in children aged 5-15 years worldwide[2].The incidence and fatality rates of SF have decreased remarkably due to the widespread use of effective antibiotics and improvements in diet and sanitation[3].However,the recent resurgence of SF has sparked significant interest in infectious diseases[1,3].Given the insufficient understanding of the triggers that cause SF outbreaks and the absence of available vaccines to prevent GAS infection to date[1],effective prevention and control programs are needed to manage the ongoing spread of SF.展开更多
The relativistic mean-field approach was implemented in the Lanzhou quantum molecular dynamics transport model(LQMD.RMF). Using the LQMD.RMF, the properties of collective flow and pion production were investigated sys...The relativistic mean-field approach was implemented in the Lanzhou quantum molecular dynamics transport model(LQMD.RMF). Using the LQMD.RMF, the properties of collective flow and pion production were investigated systematically for nuclear reactions with various isospin asymmetries. The directed and elliptic flows of the LQMD.RMF are able to describe the experimental data of STAR Collaboration. The directed flow difference between free neutrons and protons was associated with the stiffness of the symmetry energy, that is, a softer symmetry energy led to a larger flow difference. For various collision energies, the ratio between the π^(-) and π^(+) yields increased with a decrease in the slope parameter of the symmetry energy. When the collision energy was 270 MeV/nucleon, the single ratio of the pion transverse momentum spectra also increased with decreasing slope parameter of the symmetry energy in both nearly symmetric and neutron-rich systems.However, it is difficult to constrain the stiffness of the symmetry energy with the double ratio because of the lack of threshold energy correction on the pion production.展开更多
Ultra-peripheral heavy-ion collisions(UPCs)offer unique opportunities to study processes under strong electromagnetic fields.In these collisions,highly charged fast-moving ions carry strong electromagnetic fields that...Ultra-peripheral heavy-ion collisions(UPCs)offer unique opportunities to study processes under strong electromagnetic fields.In these collisions,highly charged fast-moving ions carry strong electromagnetic fields that can be effectively treated as photon fluxes.The exchange of photons can induce photonuclear and two-photon interactions and excite ions.This excitation of the ions results in Coulomb dissociation with the emission of photons,neutrons,and other particles.Additionally,the electromagnetic fields generated by the ions can be sufficiently strong to enforce mutual interactions between the two colliding ions.Consequently,the two colliding ions experience an electromagnetic force that pushes them in opposite directions,causing a back-to-back correlation in the emitted neutrons.Using a Monte Carlo simulation,we qualitatively demonstrate that the above electromagnetic effect is large enough to be observed in UPCs,which would provide a clear means to study strong electromagnetic fields and their effects.展开更多
Traditional particle identification methods face timeconsuming,experience-dependent,and poor repeatability challenges in heavy-ion collisions at low and intermediate energies.Researchers urgently need solutions to the...Traditional particle identification methods face timeconsuming,experience-dependent,and poor repeatability challenges in heavy-ion collisions at low and intermediate energies.Researchers urgently need solutions to the dilemma of traditional particle identification methods.This study explores the possibility of applying intelligent learning algorithms to the particle identification of heavy-ion collisions at low and intermediate energies.Multiple intelligent algorithms,including XgBoost and TabNet,were selected to test datasets from the neutron ion multi-detector for reaction-oriented dynamics(NIMROD-ISiS)and Geant4 simulation.Tree-based machine learning algorithms and deep learning algorithms e.g.TabNet show excellent performance and generalization ability.Adding additional data features besides energy deposition can improve the algorithm’s performance when the data distribution is nonuniform.Intelligent learning algorithms can be applied to solve the particle identification problem in heavy-ion collisions at low and intermediate energies.展开更多
文摘[目的]研究微小RNA let-7a(microRNA let-7a,miR-let-7a)对脂磷壁酸(Lipoteichoic acid,LTA)诱导的炎性奶牛乳腺上皮细胞(MAC-T)的增殖和凋亡作用。[方法]通过实时荧光定量PCR(Quantitative real time polymerase chain reaction,qRT-PCR)、实时细胞分析仪和流式细胞术检测过表达和抑制表达miR-let-7a在炎性MAC-T中的影响。[结果]qRT-PCR检测结果显示,转染miR-let-7a模拟物会使炎性MAC-T细胞中miR-let-7a的表达量极显著上调(P<0.001),转染miR-let-7a抑制剂会使细胞中miR-let-7a的表达量极显著下降(P<0.001);RTCA结果显示,转染miR-let-7a模拟物能明显促进MAC-T细胞增殖,转染miR-let-7a抑制物会使MAC-T细胞的增殖受到抑制;流式细胞术结果显示,转染miR-let-7a模拟物的MAC-T细胞的凋亡率显著降低(P<0.01);而转染miR-let-7a抑制剂则与之相反,MAC-T细胞的凋亡率显著升高(P<0.01)。即过表达miR-let-7a可以促进MAC-T细胞增殖,并降低细胞的凋亡率。而抑制表达miR-let-7a的作用与之相反,抑制表达miR-let-7a使MAC-T细胞的增殖下降,细胞的凋亡率增大。[结论]miR-let-7a是一种抑制炎症调节因子,其过表达可以缓解奶牛乳腺炎,为阐明奶牛乳腺炎的分子调控机制奠定基础。
基金supported by the Key Scientific Research Project of Universities in Henan(21A330004)Supported by the Open Project Program of the First Hospital of Xinxiang Medical University(XZZX2022002).
文摘Scarlet fever(SF)is a common infectious disease caused by group A streptococcus(GAS)[1].During the 18th and 19th centuries,SF was a significant cause of mortality in children aged 5-15 years worldwide[2].The incidence and fatality rates of SF have decreased remarkably due to the widespread use of effective antibiotics and improvements in diet and sanitation[3].However,the recent resurgence of SF has sparked significant interest in infectious diseases[1,3].Given the insufficient understanding of the triggers that cause SF outbreaks and the absence of available vaccines to prevent GAS infection to date[1],effective prevention and control programs are needed to manage the ongoing spread of SF.
基金This study was supported by the National Natural Science Foundation ofChina(Nos.12147106,12175072,and 11722546)the Talent Programof South China University of Technology(No.20210115).
文摘The relativistic mean-field approach was implemented in the Lanzhou quantum molecular dynamics transport model(LQMD.RMF). Using the LQMD.RMF, the properties of collective flow and pion production were investigated systematically for nuclear reactions with various isospin asymmetries. The directed and elliptic flows of the LQMD.RMF are able to describe the experimental data of STAR Collaboration. The directed flow difference between free neutrons and protons was associated with the stiffness of the symmetry energy, that is, a softer symmetry energy led to a larger flow difference. For various collision energies, the ratio between the π^(-) and π^(+) yields increased with a decrease in the slope parameter of the symmetry energy. When the collision energy was 270 MeV/nucleon, the single ratio of the pion transverse momentum spectra also increased with decreasing slope parameter of the symmetry energy in both nearly symmetric and neutron-rich systems.However, it is difficult to constrain the stiffness of the symmetry energy with the double ratio because of the lack of threshold energy correction on the pion production.
基金This work is supported in part by the National Key Research and Development Program of China(Nos.2022YFA1604900)the Guangdong Major Project of Basic and Applied Basic Research(No.2020B0301030008)+3 种基金the National Natural Science Foundation of China(Nos.12275053,12025501,11890710,11890714,12147101,12075061,and 12225502)the Strategic Priority Research Program of Chinese Academy of Sciences(No.XDB34030000)Shanghai National Science Foundation(No.20ZR1404100)STCSM(No.23590780100).
文摘Ultra-peripheral heavy-ion collisions(UPCs)offer unique opportunities to study processes under strong electromagnetic fields.In these collisions,highly charged fast-moving ions carry strong electromagnetic fields that can be effectively treated as photon fluxes.The exchange of photons can induce photonuclear and two-photon interactions and excite ions.This excitation of the ions results in Coulomb dissociation with the emission of photons,neutrons,and other particles.Additionally,the electromagnetic fields generated by the ions can be sufficiently strong to enforce mutual interactions between the two colliding ions.Consequently,the two colliding ions experience an electromagnetic force that pushes them in opposite directions,causing a back-to-back correlation in the emitted neutrons.Using a Monte Carlo simulation,we qualitatively demonstrate that the above electromagnetic effect is large enough to be observed in UPCs,which would provide a clear means to study strong electromagnetic fields and their effects.
基金This work was supported by the Strategic Priority Research Program of Chinese Academy of Sciences(No.XDB34030000)the National Key Research and Development Program of China(No.2022YFA1602404)+1 种基金the National Natural Science Foundation(No.U1832129)the Youth Innovation Promotion Association CAS(No.2017309).
文摘Traditional particle identification methods face timeconsuming,experience-dependent,and poor repeatability challenges in heavy-ion collisions at low and intermediate energies.Researchers urgently need solutions to the dilemma of traditional particle identification methods.This study explores the possibility of applying intelligent learning algorithms to the particle identification of heavy-ion collisions at low and intermediate energies.Multiple intelligent algorithms,including XgBoost and TabNet,were selected to test datasets from the neutron ion multi-detector for reaction-oriented dynamics(NIMROD-ISiS)and Geant4 simulation.Tree-based machine learning algorithms and deep learning algorithms e.g.TabNet show excellent performance and generalization ability.Adding additional data features besides energy deposition can improve the algorithm’s performance when the data distribution is nonuniform.Intelligent learning algorithms can be applied to solve the particle identification problem in heavy-ion collisions at low and intermediate energies.
