Neuroserpin,a secreted protein that belongs to the serpin superfamily of serine protease inhibitors,is highly expressed in the central nervous system and plays multiple roles in brain development and pathology.As a na...Neuroserpin,a secreted protein that belongs to the serpin superfamily of serine protease inhibitors,is highly expressed in the central nervous system and plays multiple roles in brain development and pathology.As a natural inhibitor of recombinant tissue plasminogen activator,neuroserpin inhibits the increased activity of tissue plasminogen activator in ischemic conditions and extends the therapeutic windows of tissue plasminogen activator for brain ischemia.However,the neuroprotective mechanism of neuroserpin against ischemic stroke remains unclear.In this study,we used a mouse model of middle cerebral artery occlusion and oxygen-glucose deprivation/reperfusion-injured cortical neurons as in vivo and in vitro ischemia-reperfusion models,respectively.The models were used to investigate the neuroprotective effects of neuroserpin.Our findings revealed that endoplasmic reticulum stress was promptly triggered following ischemia,initially manifesting as the acute activation of endoplasmic reticulum stress transmembrane sensors and the suppression of protein synthesis,which was followed by a later apoptotic response.Notably,ischemic stroke markedly downregulated the expression of neuroserpin in cortical neurons.Exogenous neuroserpin reversed the activation of multiple endoplasmic reticulum stress signaling molecules,the reduction in protein synthesis,and the upregulation of apoptotic transcription factors.This led to a reduction in neuronal death induced by oxygen/glucose deprivation and reperfusion,as well as decreased cerebral infarction and neurological dysfunction in mice with middle cerebral artery occlusion.However,the neuroprotective effects of neuroserpin were markedly inhibited by endoplasmic reticulum stress activators thapsigargin and tunicamycin.Our findings demonstrate that neuroserpin exerts neuroprotective effects on ischemic stroke by suppressing endoplasmic reticulum stress.展开更多
Exogenous neural stem cell transplantation has become one of the most promising treatment methods for chronic stroke.Recent studies have shown that most ischemia-reperfusion model rats recover spontaneously after inju...Exogenous neural stem cell transplantation has become one of the most promising treatment methods for chronic stroke.Recent studies have shown that most ischemia-reperfusion model rats recover spontaneously after injury,which limits the ability to observe long-term behavioral recovery.Here,we used a severe stroke rat model with 150 minutes of ischemia,which produced severe behavioral deficiencies that persisted at 12 weeks,to study the therapeutic effect of neural stem cells on neural restoration in chronic stroke.Our study showed that stroke model rats treated with human neural stem cells had long-term sustained recovery of motor function,reduced infarction volume,long-term human neural stem cell survival,and improved local inflammatory environment and angiogenesis.We also demonstrated that transplanted human neural stem cells differentiated into mature neurons in vivo,formed stable functional synaptic connections with host neurons,and exhibited the electrophysiological properties of functional mature neurons,indicating that they replaced the damaged host neurons.The findings showed that human fetal-derived neural stem cells had long-term effects for neurological recovery in a model of severe stroke,which suggests that human neural stem cells-based therapy may be effective for repairing damaged neural circuits in stroke patients.展开更多
Background:Lumbar disc degeneration(LDD)displays considerable heterogeneity in terms of clinical features and pathological changes.However,researchers have not clearly determined whether the transcriptome variations i...Background:Lumbar disc degeneration(LDD)displays considerable heterogeneity in terms of clinical features and pathological changes.However,researchers have not clearly determined whether the transcriptome variations in LDD could be used to identify or interpret the causes of heterogeneity in clinical features.This study aimed to identify the transcriptomic classification of degenerated discs in LDD patients and whether the molecular subtypes of LDD could be accurately predicted using clinical features.Methods:One hundred and twenty-two nucleus pulposus(NP)tissues from 108 patients were consecutively collected for bulk RNA sequencing(RNA-seq).An unsupervised clustering method was employed to analyze the bulk RNA matrix.Differential analysis was performed to characterize the transcriptional signatures and subtype-specific extracellular matrix(ECM)dysregulation.The cell subpopulation states of each subtype were inferred by integrating bulk and single-cell sequencing datasets.Transwell and dual-luciferase reporter gene assays were employed to investigate possible molecular mechanisms involved.Machine learning algorithm diagnostic prediction models were developed to correlate molecular classification with clinical features.Results:LDD was classified into 4 subtypes with distinct molecular signatures and ECM remodeling:C1 with collagenesis,C2 with ossification,C3 with low chondrogenesis,and C4 with fibrogenesis.Chond1-3 in C1 dominated disc collagenesis via the activation of the mechanosensors TRPV4 and PIEZO1;NP progenitor cells in C2 exhibited chondrogenic and osteogenic phenotypes;Chond1 in C3 was linked to a disrupted hypoxic microenvironment leading to reduced chondrogenesis;Macrophages in C4 played a crucial role in disc fibrogenesis via the secretion of tumor necrosis factor-α(TNF-α).Furthermore,the random forest diagnostic prediction model was proven to have a robust performance[area under the receiver operating characteristic(ROC)curve:0.9312;accuracy:0.84]in stratifying the molecular subtypes of LDD based on 12 clinical features.Conclusions:Our study delineates 4 distinct molecular subtypes of LDD that can be accurately stratified on the basis of clinical features.The identification of these subtypes would facilitate precise diagnostics and guide the development of personalized treatment strategies for LDD.展开更多
Electrocatalytic CO_(2)reduction(eCO_(2)R)in acidic electrolytes is propitious to enhance CO_(2)utilization,yet suffering from low current efficiency due to the rapid kinetics of the competing hydrogen evolution react...Electrocatalytic CO_(2)reduction(eCO_(2)R)in acidic electrolytes is propitious to enhance CO_(2)utilization,yet suffering from low current efficiency due to the rapid kinetics of the competing hydrogen evolution reaction(HER),especially under high current densities.This study proposes the implementation of a singleatom NiNC cocatalyst concurrently generating CO and releasing OH^(-)to neutralize H^(+)in the electrolyte,thereby simultaneously suppressing HER and promoting C–C coupling.By homogeneously mixing the NiNC cocatalyst with Cu nanoparticles(NPs),as opposed to a stratified configuration,a high ethylene Faradaic efficiency(FE)of 57%was achieved at 600 mA cm^(-2)in acidic media,along with a remarkable single-pass CO_(2)conversion efficiency of 52.4%.While rotating disk electrode tests and operando Raman spectroscopy attest to the restricted H^(+)diffusion and elevated local pH near the catalyst surface,in situ Infrared and differential electrochemical mass spectrometries corroborate the spillover of CO from the cocatalyst to neighboring Cu NPs for enhanced C–C coupling.This work offers new insights into the design and application principles of compositional eCO_(2)R catalysts for promoting multicarbon synthesis in acidic media at high current density.展开更多
Traditional fluorination strategies have attracted significant attention due to their ability to construct a fluorine-rich solid-electrolyte interphase(SEI)at the anode-electrolyte interface.However,the inhomogeneous ...Traditional fluorination strategies have attracted significant attention due to their ability to construct a fluorine-rich solid-electrolyte interphase(SEI)at the anode-electrolyte interface.However,the inhomogeneous distribution of LiF within the SEI layer remains a critical challenge that hinders the effective suppression of lithium dendrite growth.This work explores the synergy between HDBDPE(degradation products of decabromodiphenyl ethane)and MgF_(2),developing a fluorinated,flame-retardant separator with optimized ion channels,HDBDPE acts as both a low-toxicity flame retardant and an"F-element guide"through hydrogen bonding with MgF_(2),forming a uniform LiF SEI layer on the Li anode for rapid reaction kinetics.Moreover,under thermal runaway conditions,the MgF_(2)@HDBDPE/PP separator constructs a"high-efficiency flame-retardant barrier",effectively quenching free radicals and promoting the formation of MgBr_(2),thereby suppressing electrolyte combustion.As a result,both symmetric and full cells assembled with the MgF_(2)@HDBDPE/PP separator demonstrate superior cyclic stability and rate performance due to improved interfacial reactions.The MgF_(2)@HDBDPE/PP separator exhibits rapid flame retardancy under thermal runaway conditions.展开更多
The study of target proteins is crucial for understanding molecular interactions and developing analytical platforms,therapeutic agents and functional tools.Herein,we present a novel nanoplatform activated by near-inf...The study of target proteins is crucial for understanding molecular interactions and developing analytical platforms,therapeutic agents and functional tools.Herein,we present a novel nanoplatform activated by near-infrared(NIR) light for triple-modal proteins study,which enabling target protein labeling,enrichment and visualization.Azido-naphthalimide-coated upconversion nanoparticles(UCNPs) serve as NIR light-responsive nanoplatforms,showing promising applications in studying interactions between various bioactive molecules and proteins in living systems.Under NIR light irradiation,azido-naphthalimides are activated by ultraviolet(UV) and blue light emitted from UCNPs and the resulting amino-naphthalimides intermediate not only crosslink nearby target proteins but also enable imaging performance.We demonstrate that this nanoplatform is capable of selective protein labeling and imaging in complex protein environments,achieving specific labeling and imaging of both intracellular and extracellular proteins in mammalian cells as well as bacteria.Furthermore,in vivo protein labeling has been achieved using this novel NIR light-activatable nanoplatform.This technique will open new avenues for discoveries and mechanistic interrogation in chemical biology.展开更多
Fluorinated motifs are prevalent in both pharmaceuticals and agrochemicals.The incorporation of fluorine-containing moieties to drug candidates has emerged as a potent strategy for lead optimization in pharmaceutical ...Fluorinated motifs are prevalent in both pharmaceuticals and agrochemicals.The incorporation of fluorine-containing moieties to drug candidates has emerged as a potent strategy for lead optimization in pharmaceutical research and development.While extensive research has been devoted to constructing molecules that incorporate a trifluoromethylthio(SCF_(3)−)group on a stereogenic carbon,the synthesis of trifluoromethylthiolated alkanes featuring a SCF_(3)-substituted stereogenic carbon at non-activated site remains understudied.Herein,we report a Cu-catalyzed regio-and enantioselective hydroallylation of 1-trifluoromethylthiolated alkenes.Important to the process is the regio-and enantioselective Cu-H insertion to SCF_(3)-substituted alkene to form chiralα-SCF_(3) alkyl copper intermediates,outcompeting unproductive insertion to the coupling partner,and eventually proceed to afford optically active homoallylic trifluoromethylthiolated products.展开更多
A novel trace nickel(Ni)doped tungsten(W)matrix with coated Ni on W grains was prepared by powder metallurgy method.The introduction of Ni can inhibit the reaction between W and barium-calcium aluminates(Ba-Ca alumina...A novel trace nickel(Ni)doped tungsten(W)matrix with coated Ni on W grains was prepared by powder metallurgy method.The introduction of Ni can inhibit the reaction between W and barium-calcium aluminates(Ba-Ca aluminates)during the impregnation process of the matrix.After cathode activation,the surface Ba:O molar ratio is 0.88:1.00,much higher than the Ba dispenser cathode without Ni doping.The XPS results of the cathode surface showed that the metallic Ba appeared on the activated cathode surface,forming dipoles with oxygen,and effectively reducing the cathode surface work function.The pulse electron emission current density at 1100℃_(b)(brightness temperature)was 18.26 A/cm^(2),and the calculated work function was 1.97 eV.It has a low evaporation rate and the accelerated lifetime test predict a lifetime of over 160000 h.First-principles calculations showed that the charge transfer and dipole moment in the NiW-BaO system were both increased compared to the Ba dispenser cathode,thus improving the emission performance of the Ni-W mixed matrix cathode.展开更多
In maize production,the development of density-tolerant and lodging-resistant varieties has made dense planting an effective strategy for achieving high and stable yields,with superior hybrids serving as a prerequisit...In maize production,the development of density-tolerant and lodging-resistant varieties has made dense planting an effective strategy for achieving high and stable yields,with superior hybrids serving as a prerequisite for successful highdensity cultivation.However,the photosynthetic mechanisms underlying improved density tolerance in maize hybrids released across different eras in China remain unclear.This study investigates 40 years of breeding progress toward enhanced photosynthetic traits under varying planting densities and elucidates the physiological and ecological bases of improved density tolerance in maize hybrids.A three-year field experiment was conducted from 2019 to 2021 to compare eight major Chinese hybrids from four decadal cohorts under three planting densities:45,000(D1),67,500(D2),and 90,000(D3)plants ha^(-1).At high density(D3),modern hybrids exhibited a more optimal canopy architecture and superior leaf photosynthetic performance compared to older hybrids,despite a slight reduction in specific leaf nitrogen.Notably,modern hybrids(2000s)were able to maintain higher net photosynthetic rates and photosynthetic nitrogen use efficiency(PNUE)at D3,resulting in the highest grain yield(GY),which was 118.47%greater than that of older hybrids(1970s).Leaf area duration after anthesis,total chlorophyll content,key photosynthetic enzyme activities,and maximum quantum efficiency of PSII photochemistry were all positively correlated with GY.Among these,PNUE showed the strongest correlation with grain yield and thus represents a key indicator for optimizing maize hybrids.Based on these findings,breeders should continue selecting hybrids under high-density and suboptimal conditions,focusing on optimizing population architecture and enhancing photosynthetic capacity while fine-tuning leaf nitrogen status to develop high-yielding,density-tolerant hybrids capable of sustaining long-term increases in maize grain yield.展开更多
In electrochemical energy storage systems,the sodium-ion battery is typically integrated in the form of a“cell-module-cluster”,but its cross-scale thermal runaway triggering risk and the propagation mechanism remain...In electrochemical energy storage systems,the sodium-ion battery is typically integrated in the form of a“cell-module-cluster”,but its cross-scale thermal runaway triggering risk and the propagation mechanism remain unclear.This study reveals the cross-scale thermal runaway triggering and propagation behavior of sodium-ion batteries of“cell-module-cluster”under overcharge conditions,and investigates the effects of key factors,including module spacing,triggering cell location,and heat dissipation condition,on the thermal runaway propagation behavior.Results demonstrate that the thermal runaway propagation in a module containing the overcharged cell follows a sequential triggering mode,while thermal runaway in the downstream module exhibits a simultaneous triggering mode with greater severity.Furthermore,increasing the module spacing or enhancing the heat dissipation capacity can effectively reduce the heat accumulation and prevent the trigger of thermal runaway.On the above basis,the multi-dimensional evaluation strategy is proposed to quantitatively assess the hazard of sodium-ion battery cluster thermal runaway.The findings serve as a foundation for the safe design of sodium-ion batteries in energy storage systems.展开更多
The mitochondrial 3243A>G mutation(m.3243A>G)is associated with diverse clinical phenotypes.To elucidate the underlying mechanisms and explore intervention strategies in m.3243A>G patients,urine-derived stem ...The mitochondrial 3243A>G mutation(m.3243A>G)is associated with diverse clinical phenotypes.To elucidate the underlying mechanisms and explore intervention strategies in m.3243A>G patients,urine-derived stem cells(USCs)and a mitochondrial leucyl-tRNA synthetase gene(lars-2)deficient Caenorhabditis elegans(C.elegans)model are used to assess mitochondrial homeostasis and neuromuscular dysfunction.Patient-derived USCs with high levels of m.3243A>G heteroplasmy exhibit impaired mitochondrial function,disrupted mitochondrial dynamics,and inhibited mitophagy,which are reversed by MitoQ through suppression of OMA1 zinc metallopeptidase(OMA1)-induced mitochondrial phosphatase and tensin(PTEN)induced kinase 1(PINK1)degradation.Furthermore,lars-2 knockdown in C.elegans induces mitochondrial stress and mimics the loss of neural and muscle functions observed in patients with the m.3243A>G mutation.MitoQ treatment partially improves neurobehavioral function by promoting the PINK1 pathway.These findings suggest that MitoQ has therapeutic potential in the context of the m.3243A>G mutation.展开更多
Persistent overcast rain was an essential limiting factor for summer maize production,of which immediate impact was the dual pressure of waterlogging and shading.However,the mechanisms underlying independent and combi...Persistent overcast rain was an essential limiting factor for summer maize production,of which immediate impact was the dual pressure of waterlogging and shading.However,the mechanisms underlying independent and combined effects of waterlogging and shading on maize yield losses remain understudied,particularly across different growth stages.Denghai 605(DH605)was selected to be subjected shading,waterlogging,and their combined stress at the 3rd leaf stage(V3),the 6th leaf stage(V6),and tasseling stage(VT).Results showed that shading,waterlogging and their combination significantly restricted leaf area expansion,reduced leaf net photosynthetic rate(P_(n))and net assimilation rate(NAR),thereby decreasing the crop growth rate(CGR)and biomass accumulation.Additionally,compared to control,the process of lignin synthesis was inhibited under stressed treatment,resulting in diminished stem mechanical strength and impaired vascular system development,which substantially reduced assimilate remobilization efficiency to the ear and ultimate grain yield.Waterlogging and combined stresses exhibited maximum impact at the V3 stage,followed by V6 and VT stages,while shading effects were most pronounced at the VT stage,followed by V6 and V3 stages.Moreover,the compound stress exacerbated the damage brought about by a single stress.As climate change is projected to increase the frequency of multiple abiotic stress occurrences,these findings provide valuable insights for future summer maize breeding research under persistent rainfall conditions.展开更多
Thermochemical sulfate reduction(TSR)is an important organic-inorganic reaction that occurs within sedimentary basins and alters the original chemical compositions and isotopic structures of hydrocarbons in natural ga...Thermochemical sulfate reduction(TSR)is an important organic-inorganic reaction that occurs within sedimentary basins and alters the original chemical compositions and isotopic structures of hydrocarbons in natural gases.We used the GC-Py-GC-IRMS method to study TSR and obtained a novel finding related to intramolecular carbon isotope fractionation in natural propane.The results show that theΔC-T(δ^(13)C_(central)-13 C_(terminal))andδ^(13)C_(central)values significantly increased to 44.7‰and 11.9‰,respectively,with increasing TSR alteration.In contrast,the 13 C_(terminal)values of propane remained largely unaltered by the TSR reaction.This difference in position-specific isotope fractionation can be attributed to the central carbon’s reactivity being higher than that of terminal carbon during TSR.In sum,the results indicate that theδ^(13)C_(terminal)values of propane can serve as robust indicators for source rock identification of natural gas altered by post-generation reactions such as TSR and anaerobic microbial oxidation.展开更多
Urbanization alters vegetation productivity by both direct(ωd)and indirect(ω_(i))effects.The direct effect is from the change of vegetated area indicated by impervious surface intensity(ISI),while indirect effects a...Urbanization alters vegetation productivity by both direct(ωd)and indirect(ω_(i))effects.The direct effect is from the change of vegetated area indicated by impervious surface intensity(ISI),while indirect effects arise from changes in urban environmental factors,such as near-surface air temperatures,precipitation,urban heat island(UHI)intensity,and population density(POP).The respective contributions ofω_(d) andω_(i) to vegetation net primary productivity(NPP)under various phases of urbanization are not well quantified.Using multisource remote-sensing data from 1990 to 2020,we analyzed the spatiotemporal variation in urban expansion and the effect thatω_(d) andω_(i) had on NPP in the megalopolis of Beijing,China,over 5-year intervals.During this period,Beijing underwent significant planar expansion rates of about 58.9 km^(2)/yr.Annual mean loss of NPP byω_(d) was estimated to be about 77.1 g C/(m^(2)·yr)during the 1990-2020 period,while annual mean improvement to NPP byω_(i) amounted to an increase of 28.9 g C/(m^(2)·yr).The NPP losses were partially offset by NPP improvements in the order of 18.6%-69.3%.The impact of forcing variables on NPP varied spatially.Air temperature,precipitation,UHI,POP,and ISI explained about 13.8%,23.2%,23.7%,14.7%,and 24.6%of the spatial variation in NPP.The impact of air temperature on NPP was related to available moisture,negatively affecting NPP in regions with water deficits.Our findings demonstrate the dual impact of urbanization on vegetation and underscore the necessity for spatially adaptive ecological management strategies in regions experiencing rapid urban growth.展开更多
Deep learning has been recognized as an effective method for indoor positioning.However,most existing real-valued neural networks(RVNNs)treat the two constituent components of complex-valued channel state information(...Deep learning has been recognized as an effective method for indoor positioning.However,most existing real-valued neural networks(RVNNs)treat the two constituent components of complex-valued channel state information(CSI)as real-valued inputs,potentially discarding useful information embedded in the original CSI.In addition,existing positioning models generally face the contradiction between computational complexity and positioning accuracy.To address these issues,we combine graph neural network(GNN)with complex-valued neural network(CVNN)to construct a lightweight indoor positioning model named CGNet.CGNet employs complexvalued convolution operation to directly process the original CSI data,fully exploiting the correlation between real and imaginary parts of CSI while extracting local features.Subsequently,the feature values are treated as nodes,and conditional position encoding(CPE)module is applied to add positional information.To reduce the number of connections in the graph structure and lower themodel complexity,feature information is mapped to an efficient graph structure through a dynamic axial graph construction(DAGC)method,with global features extracted usingmaximum relative graph convolution(MRConv).Experimental results show that,on the CTW dataset,CGNet achieves a 10%improvement in positioning accuracy compared to existing methods,while the number of model parameters is only 0.8 M.CGNet achieves excellent positioning accuracy with very few parameters.展开更多
To address the insufficient prediction accuracy of multi-state parameters in electro-hydraulic servo material fatigue testing machines under complex loading and nonlinear coupling conditions,this paper proposes a mult...To address the insufficient prediction accuracy of multi-state parameters in electro-hydraulic servo material fatigue testing machines under complex loading and nonlinear coupling conditions,this paper proposes a multivariate sequence-to-sequence prediction model integrating a Long Short-Term Memory(LSTM)encoder,a Gated Recurrent Unit(GRU)decoder,and a multi-head attention mechanism.This approach enhances prediction accuracy and robustness across different control modes and load spectra by leveraging multi-channel inputs and cross-variable feature interactions,thereby capturing both short-term high-frequency dynamics and long-term slow drift characteristics.Experiments using long-term data from real test benches demonstrate that the model achieves a stable MSE below 0.01 on the validation set,with MAE and RMSE of approximately 0.018 and 0.052,respectively,and a coefficient of determination reaching 0.98.This significantly outperforms traditional identification methods and single RNN models.Sensitivity analysis indicates that a prediction stride of 10 achieves an optimal balance between accuracy and computational overhead.Ablation experiments validated the contribution of multi-head attention and decoder architecture to enhancing cross-variable coupling modeling capabilities.This model can be applied to residualdriven early warning in health monitoring,and risk assessment with scheme optimization in test design.It enables near-real-time deployment feasibility,providing a practical data-driven technical pathway for reliability assurance in advanced equipment.展开更多
Drought causes water shortage and consequent retardation of plants growth and development.Therefore,improving the drought tolerance of plants is necessary for expanding cultivation and resource promotion.Increasing ev...Drought causes water shortage and consequent retardation of plants growth and development.Therefore,improving the drought tolerance of plants is necessary for expanding cultivation and resource promotion.Increasing evidence indicates that phospholipase is involved in the response of plants to drought stress.The objective of this study was to create new drought-tolerant chrysanthemum germplasm,which lays a foundation for the study of the molecular mechanism of phospholipase mediated stress response in chrysanthemum.CmPLDαhas the closest relationship with sunflower HaPLDα,and belongs to the PLDαfamily.CmPLDαover-expressing plants showed a slight shrinking under 20%PEG6000 treatment.The survival rate increased significantly by 1.7−1.8 times that of the wild type.Relative water content(RWC)of CmPLDαover-expressing plants were nearly 10%higher than that of the wild type.Relative electrical conductivity and MDA content were significantly lower than those of the wild type.ABA content of the over-expression lines Z1,Z2 were 1.3 and 1.22 times that of wild type,but ABA content of antisense lines F1,F2 was approximately 0.83 and 0.81 of those of wild type.Most plants of antisense transgenic lines F1,F2 were wrinkled,with a wilting index of 5 and 6,and the survival rate was also lower than that of the wild type after recovery growth.RWC of antisense lines were lower than over-expression lines,relative electrical conductivity and MDA content were significantly higher than those of the wild type.In summary,CmPLDαcould enhance tolerance of chrysanthemum to drought conditions.展开更多
基金supported in part by the National Key Research&Development Program of China,No.2022YFA1104900(to LS)the National Natural Science Foundation of China,Nos.82371175,82071535(both to LS),82101614(to YP)+5 种基金the International Science and Technology Cooperation Projects of Guangdong Province,No.2023A0505050121(to LS)Guangdong Basic and Applied Basic Research Foundation,Nos.2022B1515130007(to LS),2023A1515030012(to SZ),2022A1515010666(to WL)the Science and Technology Program of Guangzhou,Nos.202102070001(to LS),202201010041(to YP)Shenzhen Basic Research Grant,Nos.JCYJ20200109140414636,JCYJ20230807145103007(both to WL)awarded a Royal Society Newton Advanced Fellowship,No.AOMS-NAF0051003in collaboration with Zoltán Molnár,Department of Physiology,Anatomy and Genetics,University of Oxford(2017–2021)。
文摘Neuroserpin,a secreted protein that belongs to the serpin superfamily of serine protease inhibitors,is highly expressed in the central nervous system and plays multiple roles in brain development and pathology.As a natural inhibitor of recombinant tissue plasminogen activator,neuroserpin inhibits the increased activity of tissue plasminogen activator in ischemic conditions and extends the therapeutic windows of tissue plasminogen activator for brain ischemia.However,the neuroprotective mechanism of neuroserpin against ischemic stroke remains unclear.In this study,we used a mouse model of middle cerebral artery occlusion and oxygen-glucose deprivation/reperfusion-injured cortical neurons as in vivo and in vitro ischemia-reperfusion models,respectively.The models were used to investigate the neuroprotective effects of neuroserpin.Our findings revealed that endoplasmic reticulum stress was promptly triggered following ischemia,initially manifesting as the acute activation of endoplasmic reticulum stress transmembrane sensors and the suppression of protein synthesis,which was followed by a later apoptotic response.Notably,ischemic stroke markedly downregulated the expression of neuroserpin in cortical neurons.Exogenous neuroserpin reversed the activation of multiple endoplasmic reticulum stress signaling molecules,the reduction in protein synthesis,and the upregulation of apoptotic transcription factors.This led to a reduction in neuronal death induced by oxygen/glucose deprivation and reperfusion,as well as decreased cerebral infarction and neurological dysfunction in mice with middle cerebral artery occlusion.However,the neuroprotective effects of neuroserpin were markedly inhibited by endoplasmic reticulum stress activators thapsigargin and tunicamycin.Our findings demonstrate that neuroserpin exerts neuroprotective effects on ischemic stroke by suppressing endoplasmic reticulum stress.
文摘Exogenous neural stem cell transplantation has become one of the most promising treatment methods for chronic stroke.Recent studies have shown that most ischemia-reperfusion model rats recover spontaneously after injury,which limits the ability to observe long-term behavioral recovery.Here,we used a severe stroke rat model with 150 minutes of ischemia,which produced severe behavioral deficiencies that persisted at 12 weeks,to study the therapeutic effect of neural stem cells on neural restoration in chronic stroke.Our study showed that stroke model rats treated with human neural stem cells had long-term sustained recovery of motor function,reduced infarction volume,long-term human neural stem cell survival,and improved local inflammatory environment and angiogenesis.We also demonstrated that transplanted human neural stem cells differentiated into mature neurons in vivo,formed stable functional synaptic connections with host neurons,and exhibited the electrophysiological properties of functional mature neurons,indicating that they replaced the damaged host neurons.The findings showed that human fetal-derived neural stem cells had long-term effects for neurological recovery in a model of severe stroke,which suggests that human neural stem cells-based therapy may be effective for repairing damaged neural circuits in stroke patients.
基金supported by the National Natural Science Foundation of China(32270887,82272507,32200654,82430079,and 82472519)the National Key Research and Development Program of China(2022YFA1103202)+7 种基金the Chongqing High-End Medical Talents for Middle-aged and Young(YXGD202408)the Army Scientific and Technological Innovation Talents Prioritized Suppor t Program(2023-124)the Natural Science Foundation of Chongqing(CSTB2023NSCQ-ZDJO008)the Postdoctoral Innovative Talent Support Program(BX20220397)the Open Project of State Key Laboratory of TraumaBurns and Combined Injury(SFLKF202201)the Project for Enhancing Innovation of Army Medical University(2023XJS39)the Talent Innovation Training Program at the Army Medical Center(ZXZYTSYS09)。
文摘Background:Lumbar disc degeneration(LDD)displays considerable heterogeneity in terms of clinical features and pathological changes.However,researchers have not clearly determined whether the transcriptome variations in LDD could be used to identify or interpret the causes of heterogeneity in clinical features.This study aimed to identify the transcriptomic classification of degenerated discs in LDD patients and whether the molecular subtypes of LDD could be accurately predicted using clinical features.Methods:One hundred and twenty-two nucleus pulposus(NP)tissues from 108 patients were consecutively collected for bulk RNA sequencing(RNA-seq).An unsupervised clustering method was employed to analyze the bulk RNA matrix.Differential analysis was performed to characterize the transcriptional signatures and subtype-specific extracellular matrix(ECM)dysregulation.The cell subpopulation states of each subtype were inferred by integrating bulk and single-cell sequencing datasets.Transwell and dual-luciferase reporter gene assays were employed to investigate possible molecular mechanisms involved.Machine learning algorithm diagnostic prediction models were developed to correlate molecular classification with clinical features.Results:LDD was classified into 4 subtypes with distinct molecular signatures and ECM remodeling:C1 with collagenesis,C2 with ossification,C3 with low chondrogenesis,and C4 with fibrogenesis.Chond1-3 in C1 dominated disc collagenesis via the activation of the mechanosensors TRPV4 and PIEZO1;NP progenitor cells in C2 exhibited chondrogenic and osteogenic phenotypes;Chond1 in C3 was linked to a disrupted hypoxic microenvironment leading to reduced chondrogenesis;Macrophages in C4 played a crucial role in disc fibrogenesis via the secretion of tumor necrosis factor-α(TNF-α).Furthermore,the random forest diagnostic prediction model was proven to have a robust performance[area under the receiver operating characteristic(ROC)curve:0.9312;accuracy:0.84]in stratifying the molecular subtypes of LDD based on 12 clinical features.Conclusions:Our study delineates 4 distinct molecular subtypes of LDD that can be accurately stratified on the basis of clinical features.The identification of these subtypes would facilitate precise diagnostics and guide the development of personalized treatment strategies for LDD.
基金supported by the National Natural Science Foundation of China(No.22571222 and 22309125,)the Natural Science Foundation of Jiangsu Province(No.BK20220483,BK20211306,BK20220027,and BK20221239)+2 种基金the Natural Science Foundation of the Jiangsu Higher Education Institutions of China(22KJB150010)the Six Talent Peaks Project in Jiangsu Province(No.TD-XCL-006)the Priority Academic Program Development(PAPD)of Jiangsu Higher Education Institutions。
文摘Electrocatalytic CO_(2)reduction(eCO_(2)R)in acidic electrolytes is propitious to enhance CO_(2)utilization,yet suffering from low current efficiency due to the rapid kinetics of the competing hydrogen evolution reaction(HER),especially under high current densities.This study proposes the implementation of a singleatom NiNC cocatalyst concurrently generating CO and releasing OH^(-)to neutralize H^(+)in the electrolyte,thereby simultaneously suppressing HER and promoting C–C coupling.By homogeneously mixing the NiNC cocatalyst with Cu nanoparticles(NPs),as opposed to a stratified configuration,a high ethylene Faradaic efficiency(FE)of 57%was achieved at 600 mA cm^(-2)in acidic media,along with a remarkable single-pass CO_(2)conversion efficiency of 52.4%.While rotating disk electrode tests and operando Raman spectroscopy attest to the restricted H^(+)diffusion and elevated local pH near the catalyst surface,in situ Infrared and differential electrochemical mass spectrometries corroborate the spillover of CO from the cocatalyst to neighboring Cu NPs for enhanced C–C coupling.This work offers new insights into the design and application principles of compositional eCO_(2)R catalysts for promoting multicarbon synthesis in acidic media at high current density.
基金financially supported by the National Natural Science Foundation of China(52401283)National Natural Science Foundation of Jiangsu Province(BK20230933)+1 种基金Fundamental Research Funds for the Central Universities(No.30925010524)Young Faculty Development Fund of Nanjing University of Science and Technology。
文摘Traditional fluorination strategies have attracted significant attention due to their ability to construct a fluorine-rich solid-electrolyte interphase(SEI)at the anode-electrolyte interface.However,the inhomogeneous distribution of LiF within the SEI layer remains a critical challenge that hinders the effective suppression of lithium dendrite growth.This work explores the synergy between HDBDPE(degradation products of decabromodiphenyl ethane)and MgF_(2),developing a fluorinated,flame-retardant separator with optimized ion channels,HDBDPE acts as both a low-toxicity flame retardant and an"F-element guide"through hydrogen bonding with MgF_(2),forming a uniform LiF SEI layer on the Li anode for rapid reaction kinetics.Moreover,under thermal runaway conditions,the MgF_(2)@HDBDPE/PP separator constructs a"high-efficiency flame-retardant barrier",effectively quenching free radicals and promoting the formation of MgBr_(2),thereby suppressing electrolyte combustion.As a result,both symmetric and full cells assembled with the MgF_(2)@HDBDPE/PP separator demonstrate superior cyclic stability and rate performance due to improved interfacial reactions.The MgF_(2)@HDBDPE/PP separator exhibits rapid flame retardancy under thermal runaway conditions.
基金supported by the National Natural Science Foundation of China (No.22007008)the LiaoNing Revitalization Talents Program (No.XLYC1907021)the Fundamental Research Funds for the Central Universities (Nos.DUT23YG120,DUT19RC(3)009)。
文摘The study of target proteins is crucial for understanding molecular interactions and developing analytical platforms,therapeutic agents and functional tools.Herein,we present a novel nanoplatform activated by near-infrared(NIR) light for triple-modal proteins study,which enabling target protein labeling,enrichment and visualization.Azido-naphthalimide-coated upconversion nanoparticles(UCNPs) serve as NIR light-responsive nanoplatforms,showing promising applications in studying interactions between various bioactive molecules and proteins in living systems.Under NIR light irradiation,azido-naphthalimides are activated by ultraviolet(UV) and blue light emitted from UCNPs and the resulting amino-naphthalimides intermediate not only crosslink nearby target proteins but also enable imaging performance.We demonstrate that this nanoplatform is capable of selective protein labeling and imaging in complex protein environments,achieving specific labeling and imaging of both intracellular and extracellular proteins in mammalian cells as well as bacteria.Furthermore,in vivo protein labeling has been achieved using this novel NIR light-activatable nanoplatform.This technique will open new avenues for discoveries and mechanistic interrogation in chemical biology.
基金the National Key R&D Program of China(No.2021YFF0701700)the National Natural Science Foundation of China(Nos.22271264 and 21971228)for financial support.
文摘Fluorinated motifs are prevalent in both pharmaceuticals and agrochemicals.The incorporation of fluorine-containing moieties to drug candidates has emerged as a potent strategy for lead optimization in pharmaceutical research and development.While extensive research has been devoted to constructing molecules that incorporate a trifluoromethylthio(SCF_(3)−)group on a stereogenic carbon,the synthesis of trifluoromethylthiolated alkanes featuring a SCF_(3)-substituted stereogenic carbon at non-activated site remains understudied.Herein,we report a Cu-catalyzed regio-and enantioselective hydroallylation of 1-trifluoromethylthiolated alkenes.Important to the process is the regio-and enantioselective Cu-H insertion to SCF_(3)-substituted alkene to form chiralα-SCF_(3) alkyl copper intermediates,outcompeting unproductive insertion to the coupling partner,and eventually proceed to afford optically active homoallylic trifluoromethylthiolated products.
基金supported by the National Natural Science Foundation of China(Nos.U2341209 and 52130407).
文摘A novel trace nickel(Ni)doped tungsten(W)matrix with coated Ni on W grains was prepared by powder metallurgy method.The introduction of Ni can inhibit the reaction between W and barium-calcium aluminates(Ba-Ca aluminates)during the impregnation process of the matrix.After cathode activation,the surface Ba:O molar ratio is 0.88:1.00,much higher than the Ba dispenser cathode without Ni doping.The XPS results of the cathode surface showed that the metallic Ba appeared on the activated cathode surface,forming dipoles with oxygen,and effectively reducing the cathode surface work function.The pulse electron emission current density at 1100℃_(b)(brightness temperature)was 18.26 A/cm^(2),and the calculated work function was 1.97 eV.It has a low evaporation rate and the accelerated lifetime test predict a lifetime of over 160000 h.First-principles calculations showed that the charge transfer and dipole moment in the NiW-BaO system were both increased compared to the Ba dispenser cathode,thus improving the emission performance of the Ni-W mixed matrix cathode.
基金supported by the National Natural Science Foundation of China(32071960)the National Key Research and Development Program of China(2018YFD0300603)。
文摘In maize production,the development of density-tolerant and lodging-resistant varieties has made dense planting an effective strategy for achieving high and stable yields,with superior hybrids serving as a prerequisite for successful highdensity cultivation.However,the photosynthetic mechanisms underlying improved density tolerance in maize hybrids released across different eras in China remain unclear.This study investigates 40 years of breeding progress toward enhanced photosynthetic traits under varying planting densities and elucidates the physiological and ecological bases of improved density tolerance in maize hybrids.A three-year field experiment was conducted from 2019 to 2021 to compare eight major Chinese hybrids from four decadal cohorts under three planting densities:45,000(D1),67,500(D2),and 90,000(D3)plants ha^(-1).At high density(D3),modern hybrids exhibited a more optimal canopy architecture and superior leaf photosynthetic performance compared to older hybrids,despite a slight reduction in specific leaf nitrogen.Notably,modern hybrids(2000s)were able to maintain higher net photosynthetic rates and photosynthetic nitrogen use efficiency(PNUE)at D3,resulting in the highest grain yield(GY),which was 118.47%greater than that of older hybrids(1970s).Leaf area duration after anthesis,total chlorophyll content,key photosynthetic enzyme activities,and maximum quantum efficiency of PSII photochemistry were all positively correlated with GY.Among these,PNUE showed the strongest correlation with grain yield and thus represents a key indicator for optimizing maize hybrids.Based on these findings,breeders should continue selecting hybrids under high-density and suboptimal conditions,focusing on optimizing population architecture and enhancing photosynthetic capacity while fine-tuning leaf nitrogen status to develop high-yielding,density-tolerant hybrids capable of sustaining long-term increases in maize grain yield.
基金supported by the Anhui Quality Infrastructure Standardization Project(Grant No.2024MKSO7)the Science and Technology Project of State Grid(SGAHDK00DJJS2310027)the Anhui Provincial Natural Science Foundation(Grant No.2208085UD03).
文摘In electrochemical energy storage systems,the sodium-ion battery is typically integrated in the form of a“cell-module-cluster”,but its cross-scale thermal runaway triggering risk and the propagation mechanism remain unclear.This study reveals the cross-scale thermal runaway triggering and propagation behavior of sodium-ion batteries of“cell-module-cluster”under overcharge conditions,and investigates the effects of key factors,including module spacing,triggering cell location,and heat dissipation condition,on the thermal runaway propagation behavior.Results demonstrate that the thermal runaway propagation in a module containing the overcharged cell follows a sequential triggering mode,while thermal runaway in the downstream module exhibits a simultaneous triggering mode with greater severity.Furthermore,increasing the module spacing or enhancing the heat dissipation capacity can effectively reduce the heat accumulation and prevent the trigger of thermal runaway.On the above basis,the multi-dimensional evaluation strategy is proposed to quantitatively assess the hazard of sodium-ion battery cluster thermal runaway.The findings serve as a foundation for the safe design of sodium-ion batteries in energy storage systems.
基金funded by the NIH Office of Research Infrastructure Programs(P40 OD010440)supported by the National Natural Science Foundation of China(82471893 and 82070913)+2 种基金Key discipline project of Hongkou District Health Commission(HKLCFC202403)Tongji Hospital Start-up Funding for Scientific Research(RCQD2301)Research fund from Shanghai Fourth People's Hospital(sykyqd01801,SYXKZT-2021-1001).
文摘The mitochondrial 3243A>G mutation(m.3243A>G)is associated with diverse clinical phenotypes.To elucidate the underlying mechanisms and explore intervention strategies in m.3243A>G patients,urine-derived stem cells(USCs)and a mitochondrial leucyl-tRNA synthetase gene(lars-2)deficient Caenorhabditis elegans(C.elegans)model are used to assess mitochondrial homeostasis and neuromuscular dysfunction.Patient-derived USCs with high levels of m.3243A>G heteroplasmy exhibit impaired mitochondrial function,disrupted mitochondrial dynamics,and inhibited mitophagy,which are reversed by MitoQ through suppression of OMA1 zinc metallopeptidase(OMA1)-induced mitochondrial phosphatase and tensin(PTEN)induced kinase 1(PINK1)degradation.Furthermore,lars-2 knockdown in C.elegans induces mitochondrial stress and mimics the loss of neural and muscle functions observed in patients with the m.3243A>G mutation.MitoQ treatment partially improves neurobehavioral function by promoting the PINK1 pathway.These findings suggest that MitoQ has therapeutic potential in the context of the m.3243A>G mutation.
基金supported by the University Youth Innovation Science and Technology Support Program of Shandong Province,China(2021KJ073)the Postdoctoral Innovation Program of Shandong Province,China(202003039)+2 种基金the China Agriculture Research System(CARS-02-21)the State Key Laboratory of North China Crop Improvement and Regulation(NCCIR2023KF-8)the Key R&D Program of Shandong Province,China(2023TZXD08603)。
文摘Persistent overcast rain was an essential limiting factor for summer maize production,of which immediate impact was the dual pressure of waterlogging and shading.However,the mechanisms underlying independent and combined effects of waterlogging and shading on maize yield losses remain understudied,particularly across different growth stages.Denghai 605(DH605)was selected to be subjected shading,waterlogging,and their combined stress at the 3rd leaf stage(V3),the 6th leaf stage(V6),and tasseling stage(VT).Results showed that shading,waterlogging and their combination significantly restricted leaf area expansion,reduced leaf net photosynthetic rate(P_(n))and net assimilation rate(NAR),thereby decreasing the crop growth rate(CGR)and biomass accumulation.Additionally,compared to control,the process of lignin synthesis was inhibited under stressed treatment,resulting in diminished stem mechanical strength and impaired vascular system development,which substantially reduced assimilate remobilization efficiency to the ear and ultimate grain yield.Waterlogging and combined stresses exhibited maximum impact at the V3 stage,followed by V6 and VT stages,while shading effects were most pronounced at the VT stage,followed by V6 and V3 stages.Moreover,the compound stress exacerbated the damage brought about by a single stress.As climate change is projected to increase the frequency of multiple abiotic stress occurrences,these findings provide valuable insights for future summer maize breeding research under persistent rainfall conditions.
基金supported by the Helium Enrichment and Detection in Natural Gas Reservoirs Related to Oil and Gas Fields project(Grant No.2025ZD1010500)the Deep Earth Probe and Mineral Resources Exploration―National Science and Technology Major Project.-。
文摘Thermochemical sulfate reduction(TSR)is an important organic-inorganic reaction that occurs within sedimentary basins and alters the original chemical compositions and isotopic structures of hydrocarbons in natural gases.We used the GC-Py-GC-IRMS method to study TSR and obtained a novel finding related to intramolecular carbon isotope fractionation in natural propane.The results show that theΔC-T(δ^(13)C_(central)-13 C_(terminal))andδ^(13)C_(central)values significantly increased to 44.7‰and 11.9‰,respectively,with increasing TSR alteration.In contrast,the 13 C_(terminal)values of propane remained largely unaltered by the TSR reaction.This difference in position-specific isotope fractionation can be attributed to the central carbon’s reactivity being higher than that of terminal carbon during TSR.In sum,the results indicate that theδ^(13)C_(terminal)values of propane can serve as robust indicators for source rock identification of natural gas altered by post-generation reactions such as TSR and anaerobic microbial oxidation.
基金supported by the National Key Research and Develop-ment Program of China(No.2020YFA0608100)the National Nat-ural Science Foundation of China(Nos.32071842 and 32101588).
文摘Urbanization alters vegetation productivity by both direct(ωd)and indirect(ω_(i))effects.The direct effect is from the change of vegetated area indicated by impervious surface intensity(ISI),while indirect effects arise from changes in urban environmental factors,such as near-surface air temperatures,precipitation,urban heat island(UHI)intensity,and population density(POP).The respective contributions ofω_(d) andω_(i) to vegetation net primary productivity(NPP)under various phases of urbanization are not well quantified.Using multisource remote-sensing data from 1990 to 2020,we analyzed the spatiotemporal variation in urban expansion and the effect thatω_(d) andω_(i) had on NPP in the megalopolis of Beijing,China,over 5-year intervals.During this period,Beijing underwent significant planar expansion rates of about 58.9 km^(2)/yr.Annual mean loss of NPP byω_(d) was estimated to be about 77.1 g C/(m^(2)·yr)during the 1990-2020 period,while annual mean improvement to NPP byω_(i) amounted to an increase of 28.9 g C/(m^(2)·yr).The NPP losses were partially offset by NPP improvements in the order of 18.6%-69.3%.The impact of forcing variables on NPP varied spatially.Air temperature,precipitation,UHI,POP,and ISI explained about 13.8%,23.2%,23.7%,14.7%,and 24.6%of the spatial variation in NPP.The impact of air temperature on NPP was related to available moisture,negatively affecting NPP in regions with water deficits.Our findings demonstrate the dual impact of urbanization on vegetation and underscore the necessity for spatially adaptive ecological management strategies in regions experiencing rapid urban growth.
文摘Deep learning has been recognized as an effective method for indoor positioning.However,most existing real-valued neural networks(RVNNs)treat the two constituent components of complex-valued channel state information(CSI)as real-valued inputs,potentially discarding useful information embedded in the original CSI.In addition,existing positioning models generally face the contradiction between computational complexity and positioning accuracy.To address these issues,we combine graph neural network(GNN)with complex-valued neural network(CVNN)to construct a lightweight indoor positioning model named CGNet.CGNet employs complexvalued convolution operation to directly process the original CSI data,fully exploiting the correlation between real and imaginary parts of CSI while extracting local features.Subsequently,the feature values are treated as nodes,and conditional position encoding(CPE)module is applied to add positional information.To reduce the number of connections in the graph structure and lower themodel complexity,feature information is mapped to an efficient graph structure through a dynamic axial graph construction(DAGC)method,with global features extracted usingmaximum relative graph convolution(MRConv).Experimental results show that,on the CTW dataset,CGNet achieves a 10%improvement in positioning accuracy compared to existing methods,while the number of model parameters is only 0.8 M.CGNet achieves excellent positioning accuracy with very few parameters.
基金supported by Natural Science Foundation of China(NSFC),Grant number 5247052693.
文摘To address the insufficient prediction accuracy of multi-state parameters in electro-hydraulic servo material fatigue testing machines under complex loading and nonlinear coupling conditions,this paper proposes a multivariate sequence-to-sequence prediction model integrating a Long Short-Term Memory(LSTM)encoder,a Gated Recurrent Unit(GRU)decoder,and a multi-head attention mechanism.This approach enhances prediction accuracy and robustness across different control modes and load spectra by leveraging multi-channel inputs and cross-variable feature interactions,thereby capturing both short-term high-frequency dynamics and long-term slow drift characteristics.Experiments using long-term data from real test benches demonstrate that the model achieves a stable MSE below 0.01 on the validation set,with MAE and RMSE of approximately 0.018 and 0.052,respectively,and a coefficient of determination reaching 0.98.This significantly outperforms traditional identification methods and single RNN models.Sensitivity analysis indicates that a prediction stride of 10 achieves an optimal balance between accuracy and computational overhead.Ablation experiments validated the contribution of multi-head attention and decoder architecture to enhancing cross-variable coupling modeling capabilities.This model can be applied to residualdriven early warning in health monitoring,and risk assessment with scheme optimization in test design.It enables near-real-time deployment feasibility,providing a practical data-driven technical pathway for reliability assurance in advanced equipment.
基金funded by the National Key Research and Development Program of China(2018YFD1000402)the National Natural Science Foundation of China(32030098)Jiangsu Agriculture Science and Technology Innovation Fund(CX(18)2020).
文摘Drought causes water shortage and consequent retardation of plants growth and development.Therefore,improving the drought tolerance of plants is necessary for expanding cultivation and resource promotion.Increasing evidence indicates that phospholipase is involved in the response of plants to drought stress.The objective of this study was to create new drought-tolerant chrysanthemum germplasm,which lays a foundation for the study of the molecular mechanism of phospholipase mediated stress response in chrysanthemum.CmPLDαhas the closest relationship with sunflower HaPLDα,and belongs to the PLDαfamily.CmPLDαover-expressing plants showed a slight shrinking under 20%PEG6000 treatment.The survival rate increased significantly by 1.7−1.8 times that of the wild type.Relative water content(RWC)of CmPLDαover-expressing plants were nearly 10%higher than that of the wild type.Relative electrical conductivity and MDA content were significantly lower than those of the wild type.ABA content of the over-expression lines Z1,Z2 were 1.3 and 1.22 times that of wild type,but ABA content of antisense lines F1,F2 was approximately 0.83 and 0.81 of those of wild type.Most plants of antisense transgenic lines F1,F2 were wrinkled,with a wilting index of 5 and 6,and the survival rate was also lower than that of the wild type after recovery growth.RWC of antisense lines were lower than over-expression lines,relative electrical conductivity and MDA content were significantly higher than those of the wild type.In summary,CmPLDαcould enhance tolerance of chrysanthemum to drought conditions.
