[Objectives]To investigate the structure and function of the lipoxygenase(LOX)gene family in Physcomitrella patens.[Methods]This study employed bioinformatics methods to identify and predict LOX gene family members.Qu...[Objectives]To investigate the structure and function of the lipoxygenase(LOX)gene family in Physcomitrella patens.[Methods]This study employed bioinformatics methods to identify and predict LOX gene family members.Quantitative real-time PCR(qRT-PCR)was utilized to analyze the expression patterns of LOX genes at different stages of Botrytis cinerea infection.[Results]The P.patens LOX gene family comprises eight putative proteins,including two 12-LOX-type members and six 13-LOX-type members.Among the eight LOX proteins,PpLOX7 exhibited the lowest molecular weight and shortest amino acid sequence.PpLOX7 was identified as a basic protein with an isoelectric point(pI)of 8.54,while all other members were acidic.Subcellular localization analysis indicated that PpLOX7 was localized to the chloroplast,whereas the remaining members were distributed in the cytoplasm.Secondary structure prediction showed that all eight proteins were predominantly composed of random coils andα-helixes.Chromosomal mapping revealed that the LOX genes were distributed across 7 of the 27 chromosomes in P.patens,with PpLOX1 and PpLOX2 tandemly arranged on chromosome 15.The qRT-PCR analysis demonstrated distinct expression patterns among the eight PpLOX genes following B.cinerea infection.PpLOX1-3 and PpLOX7 were upregulated to varying degrees,suggesting their potential involvement in the early defense response of P.patens against B.cinerea.Notably,PpLOX2 exhibited highly significant differential expression,making it a key candidate for further investigation.[Conclusions]This study provides foundational insights into the functional roles of the LOX gene family in P.patens during biotic stress responses.展开更多
While methodology for determining the mode of evolution in coding sequences has been well established,evaluation of adaptation events in emerging types of phenotype data needs further development.Here,we propose an an...While methodology for determining the mode of evolution in coding sequences has been well established,evaluation of adaptation events in emerging types of phenotype data needs further development.Here,we propose an analysis framework(expression variance decomposition,EVaDe)for comparative single-cell expression data based on phenotypic evolution theory.After decomposing the gene expression variance into separate components,we use two strategies to identify genes exhibiting large between-taxon expression divergence and small within-cell-type expression noise in certain cell types,attributing this pattern to putative adaptive evolution.In a dataset of primate prefrontal cortex,we find that such humanspecific key genes enrich with neurodevelopment-related functions,while most other genes exhibit neutral evolution patterns.Specific neuron types are found to harbor more of these key genes than other cell types,thus likely to have experienced more extensive adaptation.Reassuringly,at the molecular sequence level,the key genes are significantly associated with the rapidly evolving conserved non-coding elements.An additional case analysis comparing the naked mole-rat(NMR)with the mouse suggests that innateimmunity-related genes and cell types have undergone putative expression adaptation in NMR.Overall,the EVaDe framework may effectively probe adaptive evolution mode in single-cell expression data.展开更多
As a significant city in the Yangtze River Delta regions,Hefei has experienced rapid changes in the sources of air pollution due to its high-speed economic development and urban expansion.However,there has been limite...As a significant city in the Yangtze River Delta regions,Hefei has experienced rapid changes in the sources of air pollution due to its high-speed economic development and urban expansion.However,there has been limited research in recent years on the spatial-temporal distribution and emission of its atmospheric pollutants.To address this,this study conducted mobile observations of urban roads using the Mobile-DOAS instrument from June 2021 to May 2022.The monitoring results exhibit a favourable consistent with TROPOMI satellite data and ground monitoring station data.Temporally,there were pronounced seasonal variations in air pollutants.Spatially,high concentration of HCHO and NO_(2)were closely associated with traffic congestion on roadways,while heightened SO_(2)levels were attributed to winter heating and industrial emissions.The study also revealed that with the implementation of road policies,the average vehicle speed increased by 95.4%,while the NO concentration decreased by 54.4%.In the estimation of urban NO_(x)emission flux,it was observed that in temporal terms,compared with inventory data,the emissions calculated viamobile measurements exhibitedmore distinct seasonal patterns,with the highest emission rate of 349 g/sec in winter and the lowest of 142 g/sec in summer.In spatial terms,the significant difference in emissions between the inner and outer ring roads also suggests the presence of the city’s primary NO_(x)emission sources in the area between these two rings.This study offers data support for formulating the next phase of air pollution control measures in urban areas.展开更多
Artificial intelligence,such as deep learning technology,has advanced the study of facial expression recognition since facial expression carries rich emotional information and is significant for many naturalistic situ...Artificial intelligence,such as deep learning technology,has advanced the study of facial expression recognition since facial expression carries rich emotional information and is significant for many naturalistic situations.To pursue a high facial expression recognition accuracy,the network model of deep learning is generally designed to be very deep while the model’s real-time performance is typically constrained and limited.With MobileNetV3,a lightweight model with a good accuracy,a further study is conducted by adding a basic ResNet module to each of its existing modules and an SSH(Single Stage Headless Face Detector)context module to expand the model’s perceptual field.In this article,the enhanced model named Res-MobileNetV3,could alleviate the subpar of real-time performance and compress the size of large network models,which can process information at a rate of up to 33 frames per second.Although the improved model has been verified to be slightly inferior to the current state-of-the-art method in aspect of accuracy rate on the publically available face expression datasets,it can bring a good balance on accuracy,real-time performance,model size and model complexity in practical applications.展开更多
Rice is a poor source of folate,an essential micronutrient for the body.Biofortification offers an effective way to enhance the folate content of rice and alleviate folate deficiencies in humans.In this study,we confi...Rice is a poor source of folate,an essential micronutrient for the body.Biofortification offers an effective way to enhance the folate content of rice and alleviate folate deficiencies in humans.In this study,we confirmed that OsADCS and OsGTPCHI,encoding the initial enzymes necessary for folate synthesis,positively regulate folate accumulation in knockout mutants of both japonica and indica rice backgrounds.The folate content in the low-folate japonica variety was slightly increased by the expression of the indica alleles driven by the endosperm-specific promoter.We further obtained co-expression lines by stacking OsADCS and OsGTPCHI genes;the folate accumulation in brown rice and polished rice reached 5.65μg/g and 2.95μg/g,respectively,representing 37.9-fold and 26.5-fold increases compared with the wild type.Transcriptomic analysis of rice grains from six transgenic lines showed that folate changes affected biological pathways involved in the synthesis and metabolism of rice seed storage substances,while the expression of other folate synthesis genes was weakly regulated.In addition,we identified Aus rice as a high-folate germplasm carrying superior haplotypes of OsADCS and OsGTPCHI through natural variation.This study provides an alternative and effective complementary strategy for rice biofortification,promoting the rational combination of metabolic engineering and conventional breeding to breed high-folate varieties.展开更多
Oral expression skills play an essential role in the development of EFL students’language abilities,and how to improve EFL students’oral expression skills is an essential and challenging task.This study adopts a qua...Oral expression skills play an essential role in the development of EFL students’language abilities,and how to improve EFL students’oral expression skills is an essential and challenging task.This study adopts a quasi-experimental research method to carry out the research and proposes an AI-based reflective dialogue model.Based on this,an analysis of the impact brought by this model on EFL students’oral expression performance and learning anxiety levels.The results show that students in the experimental group have significantly higher oral expression performance than those in the control group in the three dimensions of grammatical accuracy,expressive fluency,and word accuracy.In addition,the students in the experimental group produced facilitated anxiety after using the AI-based reflective dialogue model for oral expression learning,which prompted the students to learn more diligently.展开更多
Objective INF2 is a member of the formins family.Abnormal expression and regulation of INF2 have been associated with the progression of various tumors,but the expression and role of INF2 in hepatocellular carcinoma(H...Objective INF2 is a member of the formins family.Abnormal expression and regulation of INF2 have been associated with the progression of various tumors,but the expression and role of INF2 in hepatocellular carcinoma(HCC)remain unclear.HCC is a highly lethal malignant tumor.Given the limitations of traditional treatments,this study explored the expression level,clinical value and potential mechanism of INF2 in HCC in order to seek new therapeutic targets.Methods In this study,we used public databases to analyze the expression of INF2 in pan-cancer and HCC,as well as the impact of INF2 expression levels on HCC prognosis.Quantitative real time polymerase chain reaction(RT-qPCR),Western blot,and immunohistochemistry were used to detect the expression level of INF2 in liver cancer cells and human HCC tissues.The correlation between INF2 expression and clinical pathological features was analyzed using public databases and clinical data of human HCC samples.Subsequently,the effects of INF2 expression on the biological function and Drp1 phosphorylation of liver cancer cells were elucidated through in vitro and in vivo experiments.Finally,the predictive value and potential mechanism of INF2 in HCC were further analyzed through database and immunohistochemical experiments.Results INF2 is aberrantly high expression in HCC samples and the high expression of INF2 is correlated with overall survival,liver cirrhosis and pathological differentiation of HCC patients.The expression level of INF2 has certain diagnostic value in predicting the prognosis and pathological differentiation of HCC.In vivo and in vitro HCC models,upregulated expression of INF2 triggers the proliferation and migration of the HCC cell,while knockdown of INF2 could counteract this effect.INF2 in liver cancer cells may affect mitochondrial division by inducing Drp1 phosphorylation and mediate immune escape by up-regulating PD-L1 expression,thus promoting tumor progression.Conclusion INF2 is highly expressed in HCC and is associated with poor prognosis.High expression of INF2 may promote HCC progression by inducing Drp1 phosphorylation and up-regulation of PD-L1 expression,and targeting INF2 may be beneficial for HCC patients with high expression of INF2.展开更多
The xylitol dehydrogenase(XDH)is a crucial enzyme involved in the xylose utilization in pentose⁃catabolizing yeasts and fungi.In addition to producing xylulose,XDH can also be employed to develop a biosensor for monit...The xylitol dehydrogenase(XDH)is a crucial enzyme involved in the xylose utilization in pentose⁃catabolizing yeasts and fungi.In addition to producing xylulose,XDH can also be employed to develop a biosensor for monitoring xylitol concentration.In this study,the gene encoding the thermophilic fungus Talaromyces emersonii XDH(TeXDH)was heterologously expressed in Escherichia coli BL21(DE3)at 16℃in the soluble form.Recombinant TeXDH with high purity was purified by using a Ni⁃NTA affinity column.Size⁃exclusion chromatography and SDS⁃PAGE analysis demonstrated that the puri⁃fied recombinant TeXDH exists as a native trimer with a molecular mass of approximately 116 kD,and is composed of three identical subunits,each with a molecular weight of around 39 kD.The TeXDH strictly preferred NAD^(+)as a coenzyme to NADP^(+).The optimal temperature and pH of the TeXDH were 40℃and 10.0,respectively.After EDTA treatment,the enzyme activity of TeXDH decreased to 43.26%of the initial enzyme activity,while the divalent metal ions Mg^(2+)or Ca^(2+)could recover the enzyme activity of TeXDH,reaching 103.32%and 110.69%of the initial enzyme activity,respectively,making them the optimal divalent metal ion cofactors for TeXDH enzyme.However,the divalent metal ions of Mn^(2+),Ni^(2+),Cu^(2+),Zn^(2+),Co^(2+),and Cd^(2+)significantly inhibited the activity of TeXDH.ICP⁃MS and molecular doc⁃king studies revealed that 1 mol/L of TeXDH bound 2 mol/L Zn^(2+)ions and 1 mol/L Mg^(2+)ion.Further⁃more,TeXDH exhibited a high specificity for xylitol,laying the foundation for the development of future xylitol biosensors.展开更多
DNA microarray technology is an extremely effective technique for studying gene expression patterns in cells, and the main challenge currently faced by this technology is how to analyze the large amount of gene expres...DNA microarray technology is an extremely effective technique for studying gene expression patterns in cells, and the main challenge currently faced by this technology is how to analyze the large amount of gene expression data generated. To address this, this paper employs a mixed-effects model to analyze gene expression data. In terms of data selection, 1176 genes from the white mouse gene expression dataset under two experimental conditions were chosen, setting up two conditions: pneumococcal infection and no infection, and constructing a mixed-effects model. After preprocessing the gene chip information, the data were imported into the model, preliminary results were calculated, and permutation tests were performed to biologically validate the preliminary results using GSEA. The final dataset consists of 20 groups of gene expression data from pneumococcal infection, which categorizes functionally related genes based on the similarity of their expression profiles, facilitating the study of genes with unknown functions.展开更多
Neuronal activity,synaptic transmission,and molecular changes in the basolateral amygdala play critical roles in fear memory.Cylindromatosis(CYLD)is a deubiquitinase that negatively regulates the nuclear factor kappa-...Neuronal activity,synaptic transmission,and molecular changes in the basolateral amygdala play critical roles in fear memory.Cylindromatosis(CYLD)is a deubiquitinase that negatively regulates the nuclear factor kappa-B pathway.CYLD is well studied in non-neuronal cells,yet underinvestigated in the brain,where it is highly expressed.Emerging studies have shown involvement of CYLD in the remodeling of glutamatergic synapses,neuroinflammation,fear memory,and anxiety-and autism-like behaviors.However,the precise role of CYLD in glutamatergic neurons is largely unknown.Here,we first proposed involvement of CYLD in cued fear expression.We next constructed transgenic model mice with specific deletion of Cyld from glutamatergic neurons.Our results show that glutamatergic CYLD deficiency exaggerated the expression of cued fear in only male mice.Further,loss of CYLD in glutamatergic neurons resulted in enhanced neuronal activation,impaired excitatory synaptic transmission,and altered levels of glutamate receptors accompanied by over-activation of microglia in the basolateral amygdala of male mice.Altogether,our study suggests a critical role of glutamatergic CYLD in maintaining normal neuronal,synaptic,and microglial activation.This may contribute,at least in part,to cued fear expression.展开更多
In the current situation of decelerating economic expansion,examining the digital economy(DE)as a novel economic model is beneficial for the local economy’s sustainable and high-quality development(HQD).We analyzed p...In the current situation of decelerating economic expansion,examining the digital economy(DE)as a novel economic model is beneficial for the local economy’s sustainable and high-quality development(HQD).We analyzed panel data from the Yellow River(YR)region from 2013 to 2021 and discovered notable spatial variances in the composite index and coupling coordination of the two systems.Specifically,the downstream region exhibited the highest coupling coordination,while the upstream region had the lowest.We identified that favorable factors such as economic development,innovation,industrial upgrading,and government intervention can bolster the coupling.Our findings provide a valuable framework for promoting DE and HQD in the YR region.展开更多
Accurate traffic flow prediction has a profound impact on modern traffic management. Traffic flow has complex spatial-temporal correlations and periodicity, which poses difficulties for precise prediction. To address ...Accurate traffic flow prediction has a profound impact on modern traffic management. Traffic flow has complex spatial-temporal correlations and periodicity, which poses difficulties for precise prediction. To address this problem, a Multi-head Self-attention and Spatial-Temporal Graph Convolutional Network (MSSTGCN) for multiscale traffic flow prediction is proposed. Firstly, to capture the hidden traffic periodicity of traffic flow, traffic flow is divided into three kinds of periods, including hourly, daily, and weekly data. Secondly, a graph attention residual layer is constructed to learn the global spatial features across regions. Local spatial-temporal dependence is captured by using a T-GCN module. Thirdly, a transformer layer is introduced to learn the long-term dependence in time. A position embedding mechanism is introduced to label position information for all traffic sequences. Thus, this multi-head self-attention mechanism can recognize the sequence order and allocate weights for different time nodes. Experimental results on four real-world datasets show that the MSSTGCN performs better than the baseline methods and can be successfully adapted to traffic prediction tasks.展开更多
Spatial-temporal traffic prediction technology is crucial for network planning,resource allocation optimizing,and user experience improving.With the development of virtual network operators,multi-operator collaboratio...Spatial-temporal traffic prediction technology is crucial for network planning,resource allocation optimizing,and user experience improving.With the development of virtual network operators,multi-operator collaborations,and edge computing,spatial-temporal traffic data has taken on a distributed nature.Consequently,noncentralized spatial-temporal traffic prediction solutions have emerged as a recent research focus.Currently,the majority of research typically adopts federated learning methods to train traffic prediction models distributed on each base station.This method reduces additional burden on communication systems.However,this method has a drawback:it cannot handle irregular traffic data.Due to unstable wireless network environments,device failures,insufficient storage resources,etc.,data missing inevitably occurs during the process of collecting traffic data.This results in the irregular nature of distributed traffic data.Yet,commonly used traffic prediction models such as Recurrent Neural Networks(RNN)and Long Short-Term Memory(LSTM)typically assume that the data is complete and regular.To address the challenge of handling irregular traffic data,this paper transforms irregular traffic prediction into problems of estimating latent variables and generating future traffic.To solve the aforementioned problems,this paper introduces split learning to design a structured distributed learning framework.The framework comprises a Global-level Spatial structure mining Model(GSM)and several Nodelevel Generative Models(NGMs).NGM and GSM represent Seq2Seq models deployed on the base station and graph neural network models deployed on the cloud or central controller.Firstly,the time embedding layer in NGM establishes the mapping relationship between irregular traffic data and regular latent temporal feature variables.Secondly,GSM collects statistical feature parameters of latent temporal feature variables from various nodes and executes graph embedding for spatial-temporal traffic data.Finally,NGM generates future traffic based on latent temporal and spatial feature variables.The introduction of the time attention mechanism enhances the framework’s capability to handle irregular traffic data.Graph attention network introduces spatially correlated base station traffic feature information into local traffic prediction,which compensates for missing information in local irregular traffic data.The proposed framework effectively addresses the distributed prediction issues of irregular traffic data.By testing on real world datasets,the proposed framework improves traffic prediction accuracy by 35%compared to other commonly used distributed traffic prediction methods.展开更多
Mandarin fish(Siniperca scherzeri) has high market prices and significant market potential in China because of its highquality meat and high nutritional value. However, due to the limited scale of aquaculture, meeting...Mandarin fish(Siniperca scherzeri) has high market prices and significant market potential in China because of its highquality meat and high nutritional value. However, due to the limited scale of aquaculture, meeting the market demand is difficult, making the effective development of the aquaculture potential of mandarin fish an important challenge for the industry. In this study, a 30-d breeding experiment was conducted on mandarin fish larvae under three photoperiod conditions: G1 8 h light:16 h dark(8L:16D), G2 12 h light:12 h dark(12L:12D), and G3 16 h light:8 h dark(16L:8D). The results showed that the G2 group exhibited the best growth performance and development status, with final body weights, weight gain rates, and specific growth rates all higher than those of the other two groups(P < 0.05). Observations of sections from each group revealed that the intestinal villi length and muscle thickness of the G2 group were significantly greater than those of the other two groups(P < 0.05). The G2 group inhibited the transcriptional activation of key circadian rhythm genes, including nr1d2a, nr1d1 and per1, while upregulating the expression of BMAL1 in S. scherzeri.The activation of both the insulin signalling pathway and the Fox O signalling pathway enhanced the efficient secretion of insulin, which subsequently played a critical role in regulating fatty acid metabolism. This active fatty acid metabolism provided an optimal energy supply, ensuring that other nutrients were fully utilized during the growth and development process while minimizing unnecessary nutrient loss. Consequently, this mechanism effectively promoted the overall growth and development of S. scherzeri. This study was the first to elucidate the transcriptomic expression patterns of S. scherzeri under varying photoperiod conditions. In response to the cyclic alternation of day and night, S. scherzeri regulated their metabolic levels and the transcriptional activation of downstream target genes via insulin signalling.展开更多
Kinesins are a superfamily of proteins widely present in eukaryotes,playing crucial roles in plant cell wall assembly,cell elongation regulation,gravity sensing,and fertility control.In this study,bioinformatics analy...Kinesins are a superfamily of proteins widely present in eukaryotes,playing crucial roles in plant cell wall assembly,cell elongation regulation,gravity sensing,and fertility control.In this study,bioinformatics analysis of the OsKMP2 gene(LOC_Os02g28850)was performed using online tools such as ExPASy-ProtParam,ProtScale,CD-search,and DNAMAN software.Additionally,qRT-PCR was employed to analyze the tissue expression pattern of OsKMP2.The results showed that the molecular weight of the OsKMP2 is 118.39728 kDa,and it is a hydrophilic and unstable acidic protein.Secondary structure prediction revealed that it primarily consists ofα-helices(69.45%),random coils(25.19%),and extended strands(5.36%).The gene was expressed in various rice tissues,with the highest expression level observed in leaves.These results indicate that the OsKMP2 gene exhibits high evolutionary conservation and functional diversity in rice.展开更多
Laminarin oligosaccharides(LOSs)with a specific degree of polymerization prepared through the laminarin degradation via laminarinase present more significant nutritional functions and application values.Human intestin...Laminarin oligosaccharides(LOSs)with a specific degree of polymerization prepared through the laminarin degradation via laminarinase present more significant nutritional functions and application values.Human intestinal bacteria are promising potential producers of novel carbohydrate-active enzymes with unique properties.Here,a novel glycoside hydrolase family 128(GH128)laminarinase OUC-BsLam26 from the intestinal bacterium Bacteroides sp.CBA7301 was heterologously expressed and characterized.The recombinant OUC-BsLam26 with a molecular mass of 49.86 kDa exhibits highest activity(6.60 U/mg)at 45℃ and pH 6.0,which shows noticeable temperature and pH stability.The purified OUC-BsLam26 could degrade laminarin via an endo-type mode with the generation of laminaripentaose,laminaritetraose,laminaritriose,and laminaribiose,among them,laminaritetraose is the principal product,which accounts for 45.25% of the total products,which is significantly different from the reported GH128 laminarinases.The minimum recognition substrate of OUC-BsLam26 is laminarihexaose.Furthermore,OUC-BsLam26 also could catalyze the transglycosylation process with the production of some novel glycosides.Altogether,the intestinal bacterium Bacteroides sp.CBA7301 contains laminarinase with unique product composition and OUC-BsLam26 is a hopeful bio-catalyst with the potential to produce laminaritetraose and some novel glycosides.展开更多
The forkhead box(FOX)family represents a class of transcription factors characterized by a distinctive winged helical structure.Forkhead box A1(FOXA1),a member of the forkhead box A(FOXA)subfamily within the FOX gene ...The forkhead box(FOX)family represents a class of transcription factors characterized by a distinctive winged helical structure.Forkhead box A1(FOXA1),a member of the forkhead box A(FOXA)subfamily within the FOX gene family,was the first forkhead protein identified in mammals.It serves as a pivotal transcription factor in tissue-specific differentiation and functions.Upon activation,owing to its unique structural domains,FOXA1 can interact with nucleosomes to open chromatin,thereby facilitating the recruitment of other transcription factors.These factorsmay act independently or synergistically with recruited transcription factors to regulate gene expression.Consequently,FOXA1 and other FOXA subfamily members with similar functions are referred to as“pioneer factors.”In recent years,studies on FOXA1 have advanced our understanding of its crucial role in gene regulation and involvement in disease processes.However,owing to their tissue-specific effects and varying biological behaviors in different environmental contexts,the underlying mechanisms remain elusive.Weused the PubMed database to better understand the complexmechanisms of FOXA1.By using keywords such as“FOXA1”and“transcription factor,”an extensive literature was retrieved,and many of the most relevant publications were screened.The selected studies were then thoroughly synthesized and summarized.This review synthesizes recent findings on FOXA1,encompassing its structural characteristics,domain functions,roles in embryonic development and the maintenance of adult organ morphology and function,interactions with histone posttranslational modifications in gene regulation,and the influence of its posttranslational modifications on gene expression.We also explore the involvement of FOXA1 in various diseases.By elucidating the biological mechanisms and disease-related roles of FOXA1,this review aims to provide insights for future research on its complex mechanisms and potential therapeutic targets.展开更多
Background:Glioblastoma(GBM)remains themost aggressive primary brain tumour in adults,marked by pronounced cellular heterogeneity,diffuse infiltration,and resistance to conventional treatment.In recent years,transcrip...Background:Glioblastoma(GBM)remains themost aggressive primary brain tumour in adults,marked by pronounced cellular heterogeneity,diffuse infiltration,and resistance to conventional treatment.In recent years,transcriptomic profiling has provided valuable insights into the molecular mechanisms that govern the progression of glioblastoma.This systematic review aims to synthesise the current literature on dysregulated gene expression in GBM,focusing on gene signatures associatedwith stemness,immunemodulation,extracellularmatrix remodelling,metabolic adaptation,and therapeutic resistance.Methods:We conducted a systematic search of PubMed,The Cancer Genome Atlas(TCGA),Chinese Glioma Genome Atlas(CGGA),and the GlioVis portal for studies published between January 2005 and April 2025,limited to English-language reports.Studies were eligible if they included adult glioblastoma tissue or patient-derived datasets and reported gene-level expression or clinical associations.Reviews,commentaries,and studies on non-GBM gliomas were excluded.Screening followed the PRISMA 2020 checklist,with 410 records initially identified,90 duplicates removed,and 125 studies retained after full-text review.Data were synthesised descriptively,and findings were validated against TCGA/CGGA expression datasets to ensure consistency across cohorts.Results:We categorised recurrently dysregulated genes by their biological function,including transcription factors(SOX2,ZEB2),growth factor receptors(EGFR,PDGFRA),immune-related markers(PD-L1,TAP1,B2M),extracellular matrix regulators(MMP2,LAMC1,HAS2),and metabolic genes(SLC7A11,PRMT5,NRF2).For each group,we examine the functional consequences of transcriptional alterations and their role in driving key glioblastoma phenotypes,including angiogenesis,immunosuppression,invasiveness,and recurrence.Conclusion:We further discuss the prognostic implications of these gene signatures and evaluate their potential utility in precisionmedicine,including current clinical trials that target molecular pathways identified through transcriptomic data.This review highlights the power of gene expression profiling to stratify glioblastoma subtypes and improve personalised therapeutic strategies.展开更多
In Japan,manga expression theory has developed over more than half a century into a major subfield within Japanese manga studies and has been widely applied in the practice of manga criticism.As a methodological appro...In Japan,manga expression theory has developed over more than half a century into a major subfield within Japanese manga studies and has been widely applied in the practice of manga criticism.As a methodological approach to manga research,it has been deeply influenced by semiotics,rejecting text-centered or narrative-centered paradigms in favor of examining manga’s intrinsic principles and inherent structures.Originating from the theoretical groundwork laid by JunzōIshiko(石子順造),further refined by scholars such as Fusanosuke Natsume(夏目房之介)and Osamu Takeuchi(竹内オサム),and later expanded and reinterpreted by GōItō(伊藤剛)and Tomoyo Iwashita(岩下朋世),manga expression theory has developed into a rich and diverse intellectual landscape.However,significant internal divergences remain within the field,making it necessary to distinguish and analyze both its diachronic evolution and synchronic configuration.展开更多
Since its discovery in the 1980s,the insect cell-baculovirus expression vector system(IC-BEVS)has been widely used in biomedical applications,such as recombinant protein expression,drug screening,vaccine development,g...Since its discovery in the 1980s,the insect cell-baculovirus expression vector system(IC-BEVS)has been widely used in biomedical applications,such as recombinant protein expression,drug screening,vaccine development,gene therapy and so on[1].As a eukaryotic system,IC-BEVS has great development prospects due to its advantages such as high safety,simple operation,simultaneous expression of multi-subunit proteins,and suitability for large-scale cultivation[2].展开更多
基金Supported by the Science and Technology Program of Guizhou Provence(Qiankehejichu-ZK[2023]Yiban 271).
文摘[Objectives]To investigate the structure and function of the lipoxygenase(LOX)gene family in Physcomitrella patens.[Methods]This study employed bioinformatics methods to identify and predict LOX gene family members.Quantitative real-time PCR(qRT-PCR)was utilized to analyze the expression patterns of LOX genes at different stages of Botrytis cinerea infection.[Results]The P.patens LOX gene family comprises eight putative proteins,including two 12-LOX-type members and six 13-LOX-type members.Among the eight LOX proteins,PpLOX7 exhibited the lowest molecular weight and shortest amino acid sequence.PpLOX7 was identified as a basic protein with an isoelectric point(pI)of 8.54,while all other members were acidic.Subcellular localization analysis indicated that PpLOX7 was localized to the chloroplast,whereas the remaining members were distributed in the cytoplasm.Secondary structure prediction showed that all eight proteins were predominantly composed of random coils andα-helixes.Chromosomal mapping revealed that the LOX genes were distributed across 7 of the 27 chromosomes in P.patens,with PpLOX1 and PpLOX2 tandemly arranged on chromosome 15.The qRT-PCR analysis demonstrated distinct expression patterns among the eight PpLOX genes following B.cinerea infection.PpLOX1-3 and PpLOX7 were upregulated to varying degrees,suggesting their potential involvement in the early defense response of P.patens against B.cinerea.Notably,PpLOX2 exhibited highly significant differential expression,making it a key candidate for further investigation.[Conclusions]This study provides foundational insights into the functional roles of the LOX gene family in P.patens during biotic stress responses.
文摘While methodology for determining the mode of evolution in coding sequences has been well established,evaluation of adaptation events in emerging types of phenotype data needs further development.Here,we propose an analysis framework(expression variance decomposition,EVaDe)for comparative single-cell expression data based on phenotypic evolution theory.After decomposing the gene expression variance into separate components,we use two strategies to identify genes exhibiting large between-taxon expression divergence and small within-cell-type expression noise in certain cell types,attributing this pattern to putative adaptive evolution.In a dataset of primate prefrontal cortex,we find that such humanspecific key genes enrich with neurodevelopment-related functions,while most other genes exhibit neutral evolution patterns.Specific neuron types are found to harbor more of these key genes than other cell types,thus likely to have experienced more extensive adaptation.Reassuringly,at the molecular sequence level,the key genes are significantly associated with the rapidly evolving conserved non-coding elements.An additional case analysis comparing the naked mole-rat(NMR)with the mouse suggests that innateimmunity-related genes and cell types have undergone putative expression adaptation in NMR.Overall,the EVaDe framework may effectively probe adaptive evolution mode in single-cell expression data.
基金supported by the National Natural Science Foundation of China(Nos.U19A2044,42105132,42030609,41975037,and 42105133)the National Key Research and Development Program of China(No.2022YFC3703502)+1 种基金the Plan for Anhui Major Provincial Science&Technology Project(No.202203a07020003)Hefei Ecological Environment Bureau Project(No.2020BFFFD01804).
文摘As a significant city in the Yangtze River Delta regions,Hefei has experienced rapid changes in the sources of air pollution due to its high-speed economic development and urban expansion.However,there has been limited research in recent years on the spatial-temporal distribution and emission of its atmospheric pollutants.To address this,this study conducted mobile observations of urban roads using the Mobile-DOAS instrument from June 2021 to May 2022.The monitoring results exhibit a favourable consistent with TROPOMI satellite data and ground monitoring station data.Temporally,there were pronounced seasonal variations in air pollutants.Spatially,high concentration of HCHO and NO_(2)were closely associated with traffic congestion on roadways,while heightened SO_(2)levels were attributed to winter heating and industrial emissions.The study also revealed that with the implementation of road policies,the average vehicle speed increased by 95.4%,while the NO concentration decreased by 54.4%.In the estimation of urban NO_(x)emission flux,it was observed that in temporal terms,compared with inventory data,the emissions calculated viamobile measurements exhibitedmore distinct seasonal patterns,with the highest emission rate of 349 g/sec in winter and the lowest of 142 g/sec in summer.In spatial terms,the significant difference in emissions between the inner and outer ring roads also suggests the presence of the city’s primary NO_(x)emission sources in the area between these two rings.This study offers data support for formulating the next phase of air pollution control measures in urban areas.
基金supported by China Academy of Railway Sciences Corporation Limited(No.2021YJ127).
文摘Artificial intelligence,such as deep learning technology,has advanced the study of facial expression recognition since facial expression carries rich emotional information and is significant for many naturalistic situations.To pursue a high facial expression recognition accuracy,the network model of deep learning is generally designed to be very deep while the model’s real-time performance is typically constrained and limited.With MobileNetV3,a lightweight model with a good accuracy,a further study is conducted by adding a basic ResNet module to each of its existing modules and an SSH(Single Stage Headless Face Detector)context module to expand the model’s perceptual field.In this article,the enhanced model named Res-MobileNetV3,could alleviate the subpar of real-time performance and compress the size of large network models,which can process information at a rate of up to 33 frames per second.Although the improved model has been verified to be slightly inferior to the current state-of-the-art method in aspect of accuracy rate on the publically available face expression datasets,it can bring a good balance on accuracy,real-time performance,model size and model complexity in practical applications.
基金supported by the Central Public-Interest Scientific Institution Basal Research Fund,China(Grant No.CPSIBRF-CNRRI-202403)。
文摘Rice is a poor source of folate,an essential micronutrient for the body.Biofortification offers an effective way to enhance the folate content of rice and alleviate folate deficiencies in humans.In this study,we confirmed that OsADCS and OsGTPCHI,encoding the initial enzymes necessary for folate synthesis,positively regulate folate accumulation in knockout mutants of both japonica and indica rice backgrounds.The folate content in the low-folate japonica variety was slightly increased by the expression of the indica alleles driven by the endosperm-specific promoter.We further obtained co-expression lines by stacking OsADCS and OsGTPCHI genes;the folate accumulation in brown rice and polished rice reached 5.65μg/g and 2.95μg/g,respectively,representing 37.9-fold and 26.5-fold increases compared with the wild type.Transcriptomic analysis of rice grains from six transgenic lines showed that folate changes affected biological pathways involved in the synthesis and metabolism of rice seed storage substances,while the expression of other folate synthesis genes was weakly regulated.In addition,we identified Aus rice as a high-folate germplasm carrying superior haplotypes of OsADCS and OsGTPCHI through natural variation.This study provides an alternative and effective complementary strategy for rice biofortification,promoting the rational combination of metabolic engineering and conventional breeding to breed high-folate varieties.
基金2024 Provincial Teaching Reform Program for Graduate Students in the Second Batch of the 14th Five-Year Plan of Zhejiang Provincial Office of Education:Innovation and Practice of“Six Synergistic”Graduate Teaching Guided by Educator’s Spirit(No.JGCG2024406)Key Project of Zhejiang Provincial Education Science Planning:Research on an interdisciplinary teaching model to promote students’computational thinking from multiple analytical perspectives[No.2025SB103].
文摘Oral expression skills play an essential role in the development of EFL students’language abilities,and how to improve EFL students’oral expression skills is an essential and challenging task.This study adopts a quasi-experimental research method to carry out the research and proposes an AI-based reflective dialogue model.Based on this,an analysis of the impact brought by this model on EFL students’oral expression performance and learning anxiety levels.The results show that students in the experimental group have significantly higher oral expression performance than those in the control group in the three dimensions of grammatical accuracy,expressive fluency,and word accuracy.In addition,the students in the experimental group produced facilitated anxiety after using the AI-based reflective dialogue model for oral expression learning,which prompted the students to learn more diligently.
文摘Objective INF2 is a member of the formins family.Abnormal expression and regulation of INF2 have been associated with the progression of various tumors,but the expression and role of INF2 in hepatocellular carcinoma(HCC)remain unclear.HCC is a highly lethal malignant tumor.Given the limitations of traditional treatments,this study explored the expression level,clinical value and potential mechanism of INF2 in HCC in order to seek new therapeutic targets.Methods In this study,we used public databases to analyze the expression of INF2 in pan-cancer and HCC,as well as the impact of INF2 expression levels on HCC prognosis.Quantitative real time polymerase chain reaction(RT-qPCR),Western blot,and immunohistochemistry were used to detect the expression level of INF2 in liver cancer cells and human HCC tissues.The correlation between INF2 expression and clinical pathological features was analyzed using public databases and clinical data of human HCC samples.Subsequently,the effects of INF2 expression on the biological function and Drp1 phosphorylation of liver cancer cells were elucidated through in vitro and in vivo experiments.Finally,the predictive value and potential mechanism of INF2 in HCC were further analyzed through database and immunohistochemical experiments.Results INF2 is aberrantly high expression in HCC samples and the high expression of INF2 is correlated with overall survival,liver cirrhosis and pathological differentiation of HCC patients.The expression level of INF2 has certain diagnostic value in predicting the prognosis and pathological differentiation of HCC.In vivo and in vitro HCC models,upregulated expression of INF2 triggers the proliferation and migration of the HCC cell,while knockdown of INF2 could counteract this effect.INF2 in liver cancer cells may affect mitochondrial division by inducing Drp1 phosphorylation and mediate immune escape by up-regulating PD-L1 expression,thus promoting tumor progression.Conclusion INF2 is highly expressed in HCC and is associated with poor prognosis.High expression of INF2 may promote HCC progression by inducing Drp1 phosphorylation and up-regulation of PD-L1 expression,and targeting INF2 may be beneficial for HCC patients with high expression of INF2.
基金湖南省教育厅基金优秀青年项目(No.22B0482)湖南科技大学博士启动基金(No.E51992 and E51993)资助。
文摘The xylitol dehydrogenase(XDH)is a crucial enzyme involved in the xylose utilization in pentose⁃catabolizing yeasts and fungi.In addition to producing xylulose,XDH can also be employed to develop a biosensor for monitoring xylitol concentration.In this study,the gene encoding the thermophilic fungus Talaromyces emersonii XDH(TeXDH)was heterologously expressed in Escherichia coli BL21(DE3)at 16℃in the soluble form.Recombinant TeXDH with high purity was purified by using a Ni⁃NTA affinity column.Size⁃exclusion chromatography and SDS⁃PAGE analysis demonstrated that the puri⁃fied recombinant TeXDH exists as a native trimer with a molecular mass of approximately 116 kD,and is composed of three identical subunits,each with a molecular weight of around 39 kD.The TeXDH strictly preferred NAD^(+)as a coenzyme to NADP^(+).The optimal temperature and pH of the TeXDH were 40℃and 10.0,respectively.After EDTA treatment,the enzyme activity of TeXDH decreased to 43.26%of the initial enzyme activity,while the divalent metal ions Mg^(2+)or Ca^(2+)could recover the enzyme activity of TeXDH,reaching 103.32%and 110.69%of the initial enzyme activity,respectively,making them the optimal divalent metal ion cofactors for TeXDH enzyme.However,the divalent metal ions of Mn^(2+),Ni^(2+),Cu^(2+),Zn^(2+),Co^(2+),and Cd^(2+)significantly inhibited the activity of TeXDH.ICP⁃MS and molecular doc⁃king studies revealed that 1 mol/L of TeXDH bound 2 mol/L Zn^(2+)ions and 1 mol/L Mg^(2+)ion.Further⁃more,TeXDH exhibited a high specificity for xylitol,laying the foundation for the development of future xylitol biosensors.
文摘DNA microarray technology is an extremely effective technique for studying gene expression patterns in cells, and the main challenge currently faced by this technology is how to analyze the large amount of gene expression data generated. To address this, this paper employs a mixed-effects model to analyze gene expression data. In terms of data selection, 1176 genes from the white mouse gene expression dataset under two experimental conditions were chosen, setting up two conditions: pneumococcal infection and no infection, and constructing a mixed-effects model. After preprocessing the gene chip information, the data were imported into the model, preliminary results were calculated, and permutation tests were performed to biologically validate the preliminary results using GSEA. The final dataset consists of 20 groups of gene expression data from pneumococcal infection, which categorizes functionally related genes based on the similarity of their expression profiles, facilitating the study of genes with unknown functions.
基金supported by the National Natural Science Foundation of China,Nos.32371065(to CL)and 32170950(to LY)the Natural Science Foundation of the Guangdong Province,No.2023A1515010899(to CL)the Science and Technology Projects in Guangzhou,Nos.2023A4J0578 and 2024A03J0180(to CW)。
文摘Neuronal activity,synaptic transmission,and molecular changes in the basolateral amygdala play critical roles in fear memory.Cylindromatosis(CYLD)is a deubiquitinase that negatively regulates the nuclear factor kappa-B pathway.CYLD is well studied in non-neuronal cells,yet underinvestigated in the brain,where it is highly expressed.Emerging studies have shown involvement of CYLD in the remodeling of glutamatergic synapses,neuroinflammation,fear memory,and anxiety-and autism-like behaviors.However,the precise role of CYLD in glutamatergic neurons is largely unknown.Here,we first proposed involvement of CYLD in cued fear expression.We next constructed transgenic model mice with specific deletion of Cyld from glutamatergic neurons.Our results show that glutamatergic CYLD deficiency exaggerated the expression of cued fear in only male mice.Further,loss of CYLD in glutamatergic neurons resulted in enhanced neuronal activation,impaired excitatory synaptic transmission,and altered levels of glutamate receptors accompanied by over-activation of microglia in the basolateral amygdala of male mice.Altogether,our study suggests a critical role of glutamatergic CYLD in maintaining normal neuronal,synaptic,and microglial activation.This may contribute,at least in part,to cued fear expression.
基金supported by the National Office for Philosophy and Social Sciences(grant reference 22&ZD067).
文摘In the current situation of decelerating economic expansion,examining the digital economy(DE)as a novel economic model is beneficial for the local economy’s sustainable and high-quality development(HQD).We analyzed panel data from the Yellow River(YR)region from 2013 to 2021 and discovered notable spatial variances in the composite index and coupling coordination of the two systems.Specifically,the downstream region exhibited the highest coupling coordination,while the upstream region had the lowest.We identified that favorable factors such as economic development,innovation,industrial upgrading,and government intervention can bolster the coupling.Our findings provide a valuable framework for promoting DE and HQD in the YR region.
基金supported by the National Natural Science Foundation of China(Grant Nos.62472149,62376089,62202147)Hubei Provincial Science and Technology Plan Project(2023BCB04100).
文摘Accurate traffic flow prediction has a profound impact on modern traffic management. Traffic flow has complex spatial-temporal correlations and periodicity, which poses difficulties for precise prediction. To address this problem, a Multi-head Self-attention and Spatial-Temporal Graph Convolutional Network (MSSTGCN) for multiscale traffic flow prediction is proposed. Firstly, to capture the hidden traffic periodicity of traffic flow, traffic flow is divided into three kinds of periods, including hourly, daily, and weekly data. Secondly, a graph attention residual layer is constructed to learn the global spatial features across regions. Local spatial-temporal dependence is captured by using a T-GCN module. Thirdly, a transformer layer is introduced to learn the long-term dependence in time. A position embedding mechanism is introduced to label position information for all traffic sequences. Thus, this multi-head self-attention mechanism can recognize the sequence order and allocate weights for different time nodes. Experimental results on four real-world datasets show that the MSSTGCN performs better than the baseline methods and can be successfully adapted to traffic prediction tasks.
基金supported by the Beijing Natural Science Foundation(Certificate Number:L234025).
文摘Spatial-temporal traffic prediction technology is crucial for network planning,resource allocation optimizing,and user experience improving.With the development of virtual network operators,multi-operator collaborations,and edge computing,spatial-temporal traffic data has taken on a distributed nature.Consequently,noncentralized spatial-temporal traffic prediction solutions have emerged as a recent research focus.Currently,the majority of research typically adopts federated learning methods to train traffic prediction models distributed on each base station.This method reduces additional burden on communication systems.However,this method has a drawback:it cannot handle irregular traffic data.Due to unstable wireless network environments,device failures,insufficient storage resources,etc.,data missing inevitably occurs during the process of collecting traffic data.This results in the irregular nature of distributed traffic data.Yet,commonly used traffic prediction models such as Recurrent Neural Networks(RNN)and Long Short-Term Memory(LSTM)typically assume that the data is complete and regular.To address the challenge of handling irregular traffic data,this paper transforms irregular traffic prediction into problems of estimating latent variables and generating future traffic.To solve the aforementioned problems,this paper introduces split learning to design a structured distributed learning framework.The framework comprises a Global-level Spatial structure mining Model(GSM)and several Nodelevel Generative Models(NGMs).NGM and GSM represent Seq2Seq models deployed on the base station and graph neural network models deployed on the cloud or central controller.Firstly,the time embedding layer in NGM establishes the mapping relationship between irregular traffic data and regular latent temporal feature variables.Secondly,GSM collects statistical feature parameters of latent temporal feature variables from various nodes and executes graph embedding for spatial-temporal traffic data.Finally,NGM generates future traffic based on latent temporal and spatial feature variables.The introduction of the time attention mechanism enhances the framework’s capability to handle irregular traffic data.Graph attention network introduces spatially correlated base station traffic feature information into local traffic prediction,which compensates for missing information in local irregular traffic data.The proposed framework effectively addresses the distributed prediction issues of irregular traffic data.By testing on real world datasets,the proposed framework improves traffic prediction accuracy by 35%compared to other commonly used distributed traffic prediction methods.
基金The Science and Technology Plan of Dalian under contract Nos 2023RO058 and 2022RQ060the Liaoning Province Natural Science Planning Fund Project under contract No. 2022-BS-273+1 种基金the Liaoning Provincial Department of Education Basic Research Project under contract No. LJKQZ20222357the Discipline Construction Funding for Marine Science Subject of Dalian Ocean University。
文摘Mandarin fish(Siniperca scherzeri) has high market prices and significant market potential in China because of its highquality meat and high nutritional value. However, due to the limited scale of aquaculture, meeting the market demand is difficult, making the effective development of the aquaculture potential of mandarin fish an important challenge for the industry. In this study, a 30-d breeding experiment was conducted on mandarin fish larvae under three photoperiod conditions: G1 8 h light:16 h dark(8L:16D), G2 12 h light:12 h dark(12L:12D), and G3 16 h light:8 h dark(16L:8D). The results showed that the G2 group exhibited the best growth performance and development status, with final body weights, weight gain rates, and specific growth rates all higher than those of the other two groups(P < 0.05). Observations of sections from each group revealed that the intestinal villi length and muscle thickness of the G2 group were significantly greater than those of the other two groups(P < 0.05). The G2 group inhibited the transcriptional activation of key circadian rhythm genes, including nr1d2a, nr1d1 and per1, while upregulating the expression of BMAL1 in S. scherzeri.The activation of both the insulin signalling pathway and the Fox O signalling pathway enhanced the efficient secretion of insulin, which subsequently played a critical role in regulating fatty acid metabolism. This active fatty acid metabolism provided an optimal energy supply, ensuring that other nutrients were fully utilized during the growth and development process while minimizing unnecessary nutrient loss. Consequently, this mechanism effectively promoted the overall growth and development of S. scherzeri. This study was the first to elucidate the transcriptomic expression patterns of S. scherzeri under varying photoperiod conditions. In response to the cyclic alternation of day and night, S. scherzeri regulated their metabolic levels and the transcriptional activation of downstream target genes via insulin signalling.
基金Supported by College Student Innovation and Entrepreneurship Training Program(S202210553003)Hunan Provincial Education Department Outstanding Youth Research Project(23B0820).
文摘Kinesins are a superfamily of proteins widely present in eukaryotes,playing crucial roles in plant cell wall assembly,cell elongation regulation,gravity sensing,and fertility control.In this study,bioinformatics analysis of the OsKMP2 gene(LOC_Os02g28850)was performed using online tools such as ExPASy-ProtParam,ProtScale,CD-search,and DNAMAN software.Additionally,qRT-PCR was employed to analyze the tissue expression pattern of OsKMP2.The results showed that the molecular weight of the OsKMP2 is 118.39728 kDa,and it is a hydrophilic and unstable acidic protein.Secondary structure prediction revealed that it primarily consists ofα-helices(69.45%),random coils(25.19%),and extended strands(5.36%).The gene was expressed in various rice tissues,with the highest expression level observed in leaves.These results indicate that the OsKMP2 gene exhibits high evolutionary conservation and functional diversity in rice.
基金supported by the National Natural Science Foundation of China(32072159)Natural Science Foundation of Hainan Province(322QN338)+4 种基金Young Talent of Lifting Engineering for Science and Technology in Shandong,China(SDAST2021qt18)Qingdao Science and Technology Plan Key Research and Development Project(22-3-3-hygg-28-hy)Fundamental Research Funds for the Central Universities(202262003)Taishan Scholar Project of Shandong Province(tsqn202312099)Support Program for Youth Innovation Technology in Colleges and Universities of Shandong Province(2023KJ041)。
文摘Laminarin oligosaccharides(LOSs)with a specific degree of polymerization prepared through the laminarin degradation via laminarinase present more significant nutritional functions and application values.Human intestinal bacteria are promising potential producers of novel carbohydrate-active enzymes with unique properties.Here,a novel glycoside hydrolase family 128(GH128)laminarinase OUC-BsLam26 from the intestinal bacterium Bacteroides sp.CBA7301 was heterologously expressed and characterized.The recombinant OUC-BsLam26 with a molecular mass of 49.86 kDa exhibits highest activity(6.60 U/mg)at 45℃ and pH 6.0,which shows noticeable temperature and pH stability.The purified OUC-BsLam26 could degrade laminarin via an endo-type mode with the generation of laminaripentaose,laminaritetraose,laminaritriose,and laminaribiose,among them,laminaritetraose is the principal product,which accounts for 45.25% of the total products,which is significantly different from the reported GH128 laminarinases.The minimum recognition substrate of OUC-BsLam26 is laminarihexaose.Furthermore,OUC-BsLam26 also could catalyze the transglycosylation process with the production of some novel glycosides.Altogether,the intestinal bacterium Bacteroides sp.CBA7301 contains laminarinase with unique product composition and OUC-BsLam26 is a hopeful bio-catalyst with the potential to produce laminaritetraose and some novel glycosides.
基金supported by grants from the National Natural Science Foundation of China (No.82470042)Liaoning Provincial Joint Science and Technology Plan (No.2023JH2/101800021)+1 种基金Basic Scientific Research Project of Liaoning Provincial Department of Education (No.LJKMZ20221186)Shenyang Municipal Public Health Research and Development Special Project (No.LJKMZ20221186)
文摘The forkhead box(FOX)family represents a class of transcription factors characterized by a distinctive winged helical structure.Forkhead box A1(FOXA1),a member of the forkhead box A(FOXA)subfamily within the FOX gene family,was the first forkhead protein identified in mammals.It serves as a pivotal transcription factor in tissue-specific differentiation and functions.Upon activation,owing to its unique structural domains,FOXA1 can interact with nucleosomes to open chromatin,thereby facilitating the recruitment of other transcription factors.These factorsmay act independently or synergistically with recruited transcription factors to regulate gene expression.Consequently,FOXA1 and other FOXA subfamily members with similar functions are referred to as“pioneer factors.”In recent years,studies on FOXA1 have advanced our understanding of its crucial role in gene regulation and involvement in disease processes.However,owing to their tissue-specific effects and varying biological behaviors in different environmental contexts,the underlying mechanisms remain elusive.Weused the PubMed database to better understand the complexmechanisms of FOXA1.By using keywords such as“FOXA1”and“transcription factor,”an extensive literature was retrieved,and many of the most relevant publications were screened.The selected studies were then thoroughly synthesized and summarized.This review synthesizes recent findings on FOXA1,encompassing its structural characteristics,domain functions,roles in embryonic development and the maintenance of adult organ morphology and function,interactions with histone posttranslational modifications in gene regulation,and the influence of its posttranslational modifications on gene expression.We also explore the involvement of FOXA1 in various diseases.By elucidating the biological mechanisms and disease-related roles of FOXA1,this review aims to provide insights for future research on its complex mechanisms and potential therapeutic targets.
文摘Background:Glioblastoma(GBM)remains themost aggressive primary brain tumour in adults,marked by pronounced cellular heterogeneity,diffuse infiltration,and resistance to conventional treatment.In recent years,transcriptomic profiling has provided valuable insights into the molecular mechanisms that govern the progression of glioblastoma.This systematic review aims to synthesise the current literature on dysregulated gene expression in GBM,focusing on gene signatures associatedwith stemness,immunemodulation,extracellularmatrix remodelling,metabolic adaptation,and therapeutic resistance.Methods:We conducted a systematic search of PubMed,The Cancer Genome Atlas(TCGA),Chinese Glioma Genome Atlas(CGGA),and the GlioVis portal for studies published between January 2005 and April 2025,limited to English-language reports.Studies were eligible if they included adult glioblastoma tissue or patient-derived datasets and reported gene-level expression or clinical associations.Reviews,commentaries,and studies on non-GBM gliomas were excluded.Screening followed the PRISMA 2020 checklist,with 410 records initially identified,90 duplicates removed,and 125 studies retained after full-text review.Data were synthesised descriptively,and findings were validated against TCGA/CGGA expression datasets to ensure consistency across cohorts.Results:We categorised recurrently dysregulated genes by their biological function,including transcription factors(SOX2,ZEB2),growth factor receptors(EGFR,PDGFRA),immune-related markers(PD-L1,TAP1,B2M),extracellular matrix regulators(MMP2,LAMC1,HAS2),and metabolic genes(SLC7A11,PRMT5,NRF2).For each group,we examine the functional consequences of transcriptional alterations and their role in driving key glioblastoma phenotypes,including angiogenesis,immunosuppression,invasiveness,and recurrence.Conclusion:We further discuss the prognostic implications of these gene signatures and evaluate their potential utility in precisionmedicine,including current clinical trials that target molecular pathways identified through transcriptomic data.This review highlights the power of gene expression profiling to stratify glioblastoma subtypes and improve personalised therapeutic strategies.
文摘In Japan,manga expression theory has developed over more than half a century into a major subfield within Japanese manga studies and has been widely applied in the practice of manga criticism.As a methodological approach to manga research,it has been deeply influenced by semiotics,rejecting text-centered or narrative-centered paradigms in favor of examining manga’s intrinsic principles and inherent structures.Originating from the theoretical groundwork laid by JunzōIshiko(石子順造),further refined by scholars such as Fusanosuke Natsume(夏目房之介)and Osamu Takeuchi(竹内オサム),and later expanded and reinterpreted by GōItō(伊藤剛)and Tomoyo Iwashita(岩下朋世),manga expression theory has developed into a rich and diverse intellectual landscape.However,significant internal divergences remain within the field,making it necessary to distinguish and analyze both its diachronic evolution and synchronic configuration.
文摘Since its discovery in the 1980s,the insect cell-baculovirus expression vector system(IC-BEVS)has been widely used in biomedical applications,such as recombinant protein expression,drug screening,vaccine development,gene therapy and so on[1].As a eukaryotic system,IC-BEVS has great development prospects due to its advantages such as high safety,simple operation,simultaneous expression of multi-subunit proteins,and suitability for large-scale cultivation[2].
