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The sexually dimorphic expression of glutamate transporters and their implication in pain after spinal cord injury

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Neural Regeneration Research 2025年第11期20卷 3317-3329页

作者： Jennifer M.Colón-Mercado Aranza I.Torrado-Tapias Iris K.Salgado Jose M.Santiago Samuel E.Ocasio Rivera Dina P.Bracho-Rincon Luis H.Pagan Rivera Jorge D.Miranda Department of Physiology University of Puerto RicoMedical Sciences CampusSan JuanPRUSA National institutes of Health National Human Genome Research InstituteBethesdaMDUSA Universidad Central del Caribe School of MedicineBayamónPRUSA University of Puerto Rico Carolina CampusCarolinaPRUSA institute of Neurobiology San JuanPRUSA

In addition to the loss of motor function,~60% of patients develop pain after spinal cord *** cellular-molecular mechanisms are not well understood,but the data suggests that plasticity within the rostral,epicenter,and caudal penumbra of the injury site initiates a cellularmolecular interplay that acts as a rewiring mechanism leading to central neuropathic *** can lead to the formation of new connections triggering abnormal sensory *** excitatory glutamate transporters are responsible for the reuptake of extracellular glutamate which makes them a critical target to prevent neuronal hyperexcitability and *** previous studies showed a sexually dimorphic therapeutic window for spinal cord injury after treatment with the selective estrogen receptor modulator *** this study,we investigated the anti-allodynic effects of tamoxifen in male and female rats with spinal cord *** hypothesized that tamoxifen exerts anti-allodynic effects by increasing the expression of glutamate transporters,leading to reduced hyperexcitability of the secondary neuron or by decreasing aberrant *** and female rats received a moderate contusion to the thoracic spinal cord followed by subcutaneous slow-release treatment of tamoxifen or matrix pellets as a control(placebo).We used von Frey monofilaments and the“up-down method”to evaluate mechanical *** treatment decreased allodynia only in female rats with spinal cord injury revealing a sexdependent *** expression profile of glutamatergic transporters(excitatory amino acid transporter 1/glutamate aspartate transporter and excitatory amino acid transporter 2/glutamate transporter-1)revealed a sexual dimorphism in the rostral,epicenter,and caudal areas of the spinal cord with a pattern of expression primarily on *** rodents showed a significantly higher level of excitatory amino acid transporter-1 expression while male rodents showed increased

关键词： allodynia central neuropathic pain EAAT-1/GLAST EAAT-2/GLT-1 glutamate transporters selective estrogen receptor modulator sexual dimorphism spinal cord injury trauma

Size-and temperature-dependent Young's modulus and size-dependent thermal expansion coefficient of nanowires

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Science China(Technological Sciences) 2018年第5期61卷 687-698页

作者： SUN HongLiang CHEN LiuYan SUN Sheng ZHANG Tong-Yi Materials genome institute Shanghai University and Shanghai Materials Genome Institute

Nanowires(NWs) exhibit size-dependent mechanical properties due to the high surface/volume ratio, in which temperature also plays an important role. The surface eigenstress model is further developed here to quantitatively predict the size-dependent mechanical properties of NWs and results in analytic formulas. Molecular dynamics(MD) simulations are conducted to study the size-dependent mechanical of [100], [110] and [111] Ni and Si nanowires within the temperature range of 100–400 K and the MD results verify perfectly the newly developed surface eigenstress model.

关键词： surface eigenstress model size-and temperature-dependent Young's modulus size-dependent thermal expansion coefficient nanowires molecular dynamics simulations

Tackling the epigenome in the pluripotent stem cells

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Journal of Genetics and Genomics 2008年第7期35卷 403-412页

作者： Chia-Lin Wei genome Technology and Biology Group Genome Institute of Singapore 138672 Singapore

Embryonic stem cells are unique in their abilities of self-renewal and to differentiate into many, if not all, cellular lineages. Transcriptional regulation, epigenetic modifications and chromatin structures are the key modulators in controlling such pluripotency nature of embryonic stem cell genomes, particularly in the developmental decisions and the maintenance of cell fates. Among them, epigenetic regulation of gene expression is mediated partly by covalent modifications of core histone proteins including methylation, phosphorylation and acetylation. Moreover, the chromatins in stem cell genome appear as a highly organized structure containing distinct functional domains. Recent rapid progress of new technologies enables us to take a global, unbiased and comprehensive view of the epigenetic modifications and chromatin structures that contribute to gene expression regulation and cell identity during diverse developmental stages. Here, we summarized the latest advances made by high throughput approaches in profiling epigenetic modifications and chromatin conformations, with an emphasis on genome-wide analysis of histone modifications and their implications in pluripotency nature of embryonic stem cells.

关键词： epigenetics histone modification ChiP-chip ChIP-PET embryonic stem cell

Surface segregation of hydrogen in free-standing Pd-H alloy nanofilms

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Science China(Technological Sciences) 2019年第10期62卷 1735-1746页

作者： CAI Hong MAI JiaWei GAO YingXin HUANG He SUN Sheng ZHANG TongYi Materials genome institute Shanghai University

The interaction between mechanics and chemistry plays an essential and critical role in the behaviors and properties of materials,especially in nanoscale alloys. Based on the classical Gibbs and Mc Lean adsorption isotherms, the present study takes the freestanding nanometer thick films of Pd-H solid solutions as a typic example to investigate surface segregation of hydrogen. The surface eigenstress model is further developed here to give analytic formulas, which have the capability to quantitatively predict the size-dependent surface segregation. Molecular dynamics(MD) simulations are conducted on free-standing Pd-H *** MD simulations verify the theoretical analytic results and determine the values of parameters involved in the theoretical analysis. The integrated theoretical and numerical study exhibits that both surface excess H concentration and apparent biaxial Young’s modulus of Pd-H thin films depend on the nominal H concentration and the film thickness. The MD simulations determine the values of three parameters involved in the theoretical analysis. Especially, the parameter of the differentiation in reference chemical potential behaves like the molar free energy of segregation in the Mc Lean adsorption isotherm.

关键词： palladium-hydrogen nanofilms the biaxial Young’s modulus concentration

Temperature dependent Grüneisen parameter

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Science China(Technological Sciences) 2019年第9期62卷 1565-1576页

作者： ZHANG Xun SUN Sheng XU Tao ZHANG TongYi Materials genome institute Shanghai University

Grüneisen parameter is one of the most valuable quantities in thermodynamics, which links the material properties of bulk modulus, heat capacity at constant volume, thermal expansion coefficient, and volume together. A new thermodynamic model of temperature-dependent potential energy is proposed here to investigate the temperature dependent Grüneisen parameter of bulk material. The newly developed thermodynamic model leads to temperature dependent analytical solutions of Grüneisen parameter and other thermo-mechanical properties including the Grüneisen equation of state. Molecular dynamics simulations are conducted on single crystalline Ni, Cu, and Au bulk crystals and the simulation results verify the newly developed thermodynamic model and quantitively evaluate the theoretically derived physical quantities. In addition, the Debye model is also employed in the study of temperature dependent Grüneisen parameter and the results also verify the theoretical approach.

关键词： thermo-mechanical properties Grüneisen parameter thermodynamic model temperature-dependent potential energy molecular dynamics simulations

Plant Metabolic Network 15:A resource of genome-wide metabolism databases for 126 plants and algae

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Journal of Integrative Plant Biology 2021年第11期63卷 1888-1905页

作者： Charles Hawkins Daniel Ginzburg Kangmei Zhao William Dwyer Bo Xue Angela Xu Selena Rice Benjamin Cole Suzanne Paley Peter Karp Seung Y.Rhee Department of Plant Biology Carnegie Institution for ScienceStanfordCalifornia94305USA doe‐joint genome institute Lawrence Berkeley LaboratoryBerkeleyCalifornia94720USA SRI International Menlo ParkCalifornia94025USA Johns Hopkins University Baltimore 2121 MarylandUSA

To understand and engineer plant metabolism, we need a comprehensive and accurate annotation of all metabolic information across plant species. As a step towards this goal, we generated genome-scale metabolic pathway databases of 126 algal and plant genomes, ranging from model organisms to crops to medicinal plants(https://***).Of these, 104 have not been reported *** systematically evaluated the quality of the databases, which revealed that our semi-automated validation pipeline dramatically improves the quality. We then compared the metabolic content across the 126 organisms using multiple correspondence analysis and found that Brassicaceae,Poaceae, and Chlorophyta appeared as metabolically distinct groups. To demonstrate the utility of this resource, we used recently published sorghum transcriptomics data to discover previously unreported trends of metabolism underlying drought tolerance. We also used single-cell transcriptomics data from the Arabidopsis root to infer cell typespecific metabolic pathways. This work shows the quality and quantity of our resource and demonstrates its wide-ranging utility in integrating metabolism with other areas of plant biology.

关键词： metabolism plant biology databases

Research status and prospects of the fractal analysis of metal material surfaces and interfaces

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International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 20-38页

作者： Qinjin Dai Xuefeng Liu Xin Ma Shaojie Tian Qinghe Cui Beijing Advanced Innovation Center for Materials genome Engineering University of Science and Technology BeijingBeijing 100083China Beijing Laboratory of Metallic Materials and Processing for Modern Transportation University of Science and Technology BeijingBeijing 100083China Laboratory for Advanced Materials Processing of Ministry of Education University of Science and Technology BeijingBeijing 100083China School of Mechanical and Electrical Engineering Xinjiang Institute of EngineeringUrumqi 830023China

As a mathematical analysis method,fractal analysis can be used to quantitatively describe irregular shapes with self-similar or self-affine *** analysis has been used to characterize the shapes of metal materials at various scales and *** methods make it difficult to quantitatively describe the relationship between the regular characteristics and properties of metal material surfaces and ***,fractal analysis can be used to quantitatively describe the shape characteristics of metal materials and to establish the quantitative relationships between the shape characteristics and various properties of metal *** the perspective of two-dimensional planes and three-dimensional curved surfaces,this paper reviews the current research status of the fractal analysis of metal precipitate interfaces,metal grain boundary interfaces,metal-deposited film surfaces,metal fracture surfaces,metal machined surfaces,and metal wear *** relationship between the fractal dimensions and properties of metal material surfaces and interfaces is *** from three perspectives of fractal analysis,namely,research scope,image acquisition methods,and calculation methods,this paper identifies the direction of research on fractal analysis of metal material surfaces and interfaces that need to be *** is believed that revealing the deep influence mechanism between the fractal dimensions and properties of metal material surfaces and interfaces will be the key research direction of the fractal analysis of metal materials in the future.

关键词： metal material surfaces and interfaces fractal analysis fractal dimension homogeneity

A first-principles investigation on mechanical and metallic properties of titanium carbides under pressure

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Journal of Materials Science & Technology 2018年第10期34卷 1953-1958页

作者： Xiaojing Sha Namin Xiao Yongjun Guan Xiaosu Yi Materials genome Center Beijing Institute of Aeronautical Materials

The titanium carbides are potential candidates to achieve both high hardness and refractory property. We carried out a structural search for titanium carbides at three pressures of 0 GPa, 30 GPa and 50 GPa. A phase diagram of the Ti-C system at 0 K was obtained by elucidating formation enthalpies as a function of compositions, and their mechanical and metallic properties of titanium carbides were investigated sys- tematically. We also discussed the relation of titanium concentration to the both mechanical and metallic properties of titanium carbides. It has been found that the average valence electron density and tractil-ity improved at higher concentrations of titanium, while the degree of covalent bonding directionality decreased. To this effect, the hardness of titanium carbide decreases as the content of titanium increases. Our results indicated that the titanium content significantly affected the metallic properties of the Ti-C system.

关键词： First-principles calculation Transition metal carbides Mechanical property and hardness High pressure phase stability

Network-Based Predictions and Simulations by Biological State Space Models: Search for Drug Mode of Action

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Journal of Computer Science & Technology 2010年第1期25卷 131-153页

作者： Rui Yamaguchi Seiya Imoto Satoru Miyano Human genome Center Institute of Medical Science University of Tokyo

Since time-course microarrav data are short but contain a large number of genes, most of statistical models should be extended so that they can handle such statistically irregular situations. We introduce biological state space models that are established as suitable computational models for constructing gene networks from microarray gene expression data. This chapter elucidates theory and methodology of our biological state space models together with some representative analyses including discovery of drug mode of action. Through the applications we show the whole strategy of biological state space model analysis involving experimental design of time-course data, model building and analysis of the estimated networks.

关键词： gene networks state space models time-course gene expression data