Drugs and pesticide residues in broiler feed can compromise the therapeutic and production benefits of antibiotic(ANT)application and affect gene expression.In this study,we analyzed the expression of 13 key pancreati...Drugs and pesticide residues in broiler feed can compromise the therapeutic and production benefits of antibiotic(ANT)application and affect gene expression.In this study,we analyzed the expression of 13 key pancreatic genes and blood physiology parameters after administering one maximum residue limit of herbicide glyphosate(GLY),two ANTs,and one anticoccidial drug(AD).A total of 260 Ross 308 broilers aged 1-40 d were divided into the following four groups of 65 birds each:control group,which was fed the main diet(MD),and three experimental groups,which were fed MD supplemented with GLY,GLY+ANTs(enrofloxacin and colistin methanesulfonate),and GLY+AD(ammonium maduramicin),respectively.The results showed that the addition of GLY,GLY+ANTs,and GLY+AD caused significant changes in the expression of several genes of physiological and economic importance.In particular,genes related to inflammation and apoptosis(interleukin 6(IL6),prostaglandin-endoperoxide synthase 2(PTGS2),and caspase 6(CASP6))were downregulated by up to 99.1%,and those related to antioxidant protection(catalase(CAT),superoxide dismutase 1(SOD1)and peroxiredoxin 6(PRDX6))by up to 98.6%,compared to controls.There was also a significant decline in the values of immunological characteristics in the blood serum observed in the experimental groups,and certain changes in gene expression were concordant with changes in the functioning of the pancreas and blood.The changes revealed in gene expression and blood indices in response to GLY,ANTs,and AD provide insights into the possible mechanisms of action of these agents at the molecular level.Specifically,these changes may be indicative of physiological mechanisms to overcome the negative effects of GLY,GLY+ANTs,and GLY+AD in broilers.展开更多
Short tandem repeats(STRs)modulate gene expression and contribute to trait variation.However,a systematic evaluation of the genomic characteristics of STRs has not been conducted,and their influence on gene expression...Short tandem repeats(STRs)modulate gene expression and contribute to trait variation.However,a systematic evaluation of the genomic characteristics of STRs has not been conducted,and their influence on gene expression in rice remains unclear.Here,we construct a map of 137,629 polymorphic STRs in the rice(Oryza sativa L.)genome using a population-scale resequencing dataset.A genome-wide survey encompassing 4726 accessions shows that the occurrence frequency,mutational patterns,chromosomal distribution,and functional properties of STRs are correlated with the sequences and lengths of repeat motifs.Leveraging a transcriptome dataset from 127 rice accessions,we identify 44,672 expression STRs(eSTRs)by modeling gene expression in response to the length variation of STRs.These eSTRs are notably enriched in the regulatory regions of genes with active transcriptional signatures.Population analysis identifies numerous STRs that have undergone genetic divergence among different rice groups and 1726 tagged STRs that may be associated with agronomic traits.By editing the(ACT)_(7) STR in OsFD1 promoter,we further experimentally validate its role in regulating gene expression and phenotype.Our study highlights the contribution of STRs to transcriptional regulation in plants and establishes the foundation for their potential use as alternative targets for genetic improvement.展开更多
Background:With growing interest in space exploration,understanding microgravity’s impact on human health is essential.This study aims to investigate gene expression changes and migration and invasion potential infive...Background:With growing interest in space exploration,understanding microgravity’s impact on human health is essential.This study aims to investigate gene expression changes and migration and invasion potential infive thyroid-related cell lines cultured under simulated microgravity.Methods:Five thyroid-related cell lines—normal thyrocytes(Nthy-ori 3-1),papillary thyroid cancer(PTC)cells(SNU-790,TPC-1),poorly differentiated thyroid cancer cell(BCPAP),and anaplastic thyroid cancer cell(SNU-80)—were cultured under simulated microgravity(10-3 g)using a clinostat.Differentially expressed genes(DEGs)were analyzed using cDNA microarray,followed by functional annotation and assessment of aggressiveness via Transwell migration and invasion assays.Results:DEG analysis under simulated microgravity revealed distinct gene expression profiles by gravity condition,with 2980 DEGs in SNU-790,1033 in BCPAP,562 in TPC-1,477 in Nthy-ori 3-1,and 246 in SNU-80,as confirmed by hierarchical clustering.In PTC cell lines(SNU-790,TPC-1),G2–M phase–related genes were upregulated.In non-PTC cell lines(BCPAP,SNU-80),genes associated with innate immune response,Toll-like receptor signaling,were upregulated,whereas Hypoxia-Inducible Factor 1-alpha(HIF-1α)signaling-related genes were downregulated.Additionally,under simulated microgravity,significant migration was observed in SNU-790(3×104 cells)and BCPAP(2×104 and 3×104),while significant invasion occurred in SNU-790,Nthy-ori 3-1,and BCPAP at a seeding density of 2×104.Other conditions showed no significant differences.Conclusion:This study comprehensively evaluates the effects of simulated microgravity using a diverse panel of thyroid-related cell lines.Thesefindings provide valuable insight into how microgravity could influence cancer biology,emphasizing the importance of further research on cancer behavior in space environments and its implications for human health during long-term space missions.展开更多
Highlights●Natural variations in the SGT3 promoter TATA box repeats directly modulate gene expression and SGAs content in tubers,providing a novel molecular marker for low-steroidal glycoalkaloids(SGAs)breeding.●The...Highlights●Natural variations in the SGT3 promoter TATA box repeats directly modulate gene expression and SGAs content in tubers,providing a novel molecular marker for low-steroidal glycoalkaloids(SGAs)breeding.●The SGT3 promoter haplotype with(TA)10exhibits signifcantly higher transcriptional activity,correlating with high SGAs content,while the(TA)13haplotype is linked to low SGAs in natural germplasms.展开更多
N^(6)-Methyladenosine(m^(6)A)is the most common modification in the transcriptome of biological RNA and plays roles that include maintaining the stability and transportation of mRNA,mRNA precursor shearing,polyadenyla...N^(6)-Methyladenosine(m^(6)A)is the most common modification in the transcriptome of biological RNA and plays roles that include maintaining the stability and transportation of mRNA,mRNA precursor shearing,polyadenylation,and the initiation of translation.With the improving understanding of RNA methylation,m^(6)A modification is known to play vital roles in plant development and growth.The multi-petalization of flowering plants has high ornamental and research value in horticultural landscapes.However,the mechanism of RNA methylation in flower formation in Magnolia wufengensis,a classical multi-petalizational plant,remains unclear.This study compared and analyzed RNA m^(6)A methylation and the transcriptome in floral buds of two varieties with large differences in tepal number at the early stage of development.It was found that the degree of RNA m^(6)A methylation and relative expression levels of MawuAGL6-2,MawuPI-4,and MawuAGL9 in‘Jiaodan’with 36 tepals were significantly higher than those in‘Jiaohong’with 9 tepals during the development of floral organ primordia.Combined with quantitative real-time PCR,the expression levels of MawuAGL6-2,MawuPI-4,and MawuAGL9were positively correlated with the number of tepals.Transgenic experiments showed that MawuAGL6-1/2,and MawuPI-4 can increase the number of petals in Arabidopsis.Moreover,MawuAGL6-2 and MawuPI-4 can restore the missing petal phenotype of mutant Arabidopsis.Yeast two hybrid and yeast three hybrid indicated that MawuAGL6-2,MawuAP3-1/2,and MawuPI-4 could interact with each other under the mediation of the class E protein MawuAGL9.Based on these results,it is hypothesized that m^(6)A methylation influences the multi-petalization of Magnolia wufengensis by affecting the expression levels of MawuAGL6-2,MawuAP3-1/2,MawuPI-4,and MawuAGL9.These findings provide a better understanding of the molecular mechanisms of epigenetic modifications in flower developmental diversity.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
Objectives:Despite the considerable regenerative capacity exhibited by adipose-derived mesenchymal stem cells(ASCs),their genetic and molecular mechanisms remain incompletely understood.Methods:In this study,we analyz...Objectives:Despite the considerable regenerative capacity exhibited by adipose-derived mesenchymal stem cells(ASCs),their genetic and molecular mechanisms remain incompletely understood.Methods:In this study,we analyzed the global gene expression profile of adipose-derived mesenchymal stem cells(ASCs)using microarray analysis and compared it with stromal vascular fraction(SVF)cells.Results:Microarray analysis revealed that ASCs express elevated levels of genes related to the extracellular matrix(ECM;extracellular matrix)and collagen,which are critical components of tissue remodeling and wound healing.Additionally,genes associated with cell growth,differentiation,motility,and plasticity were highly expressed.When compared to stromal vascular fraction(SVF)cells,ASCs demonstrated enrichment of genes involved in anti-inflammatory responses,immune modulation,tissue repair,cell adhesion,and migration processes.Gene Set Enrichment Analysis(GSEA;Gene Set Enrichment Analysis)showed activation of pathways related to angiogenesis,such as vascular endothelial growth factor(VEGF),Integrin,Wnt signaling pathways,transforming growth factor-beta(TGF-β),extracellular matrix(ECM),and matrix metalloproteinase(MMP),highlighting the significant angiogenic potential of ASCs.Gene Ontology(GO;Gene Ontology)analysis further linked ASCs to biological processes associated with the regulation of cell proliferation and muscle cell differentiation.Conclusion:These findings collectively underscore the suitability of adipose-derived mesenchymal stem cells(ASCs)as a promising candidate for regenerative medicine,particularly in applications involving tissue repair,immune modulation,and promotion of angiogenesis.展开更多
Background Mobile element variants(MEVs)have a significant and complex impact on genomic diversity and phe-notypic traits.However,the quantity,distribution,and relationship with gene expression and complex traits of M...Background Mobile element variants(MEVs)have a significant and complex impact on genomic diversity and phe-notypic traits.However,the quantity,distribution,and relationship with gene expression and complex traits of MEVs in the pig genome remain poorly understood.Results We constructed the most comprehensive porcine MEV library based on high-depth whole genome sequencing(WGS)data from 747 pigs across 59 breeds worldwide.This database identified a total of 147,993 poly-morphic MEVs,including 121,099 short interspersed nuclear elements(SINEs),26,053 long interspersed nuclear elements(LINEs),802 long terminal repeats(LTRs),and 39 other transposons,among which 54%are newly discovered.We found that MEVs are unevenly distributed across the genome and are strongly influenced by negative selec-tion effects.Importantly,we identified 514,530,and 584 candidate MEVs associated with population differentiation,domestication,and breed formation,respectively.For example,a significantly differentiated MEV is located in the ATRX intron between Asian and European pigs,whereas ATRX is also differentially expressed between Asian and European pigs in muscle tissue.In addition,we identified 4,169 expressed MEVs(eMEVs)significantly associated with gene expression and 6,914 splicing MEVs(sMEVs)associated with gene splicing based on RNA-seq data from 266 porcine liver tissues.These eMEVs and sMEVs explain 6.24%and 9.47%,respectively,of the observed cis-heritability and high-light the important role of MEVs in the regulation of gene expression.Finally,we provide a high-quality SNP–MEV reference haplotype panel to impute MEV genotypes from genome-wide SNPs.Notably,we identified a candidate MEV significantly associated with total teat number,demonstrating the functionality of this reference panel.Conclusions The present investigation demonstrated the importance of MEVs in pigs in terms of population diversity,gene expression and phenotypic traits,which may provide useful resources and theoretical support for pig genetics and breeding.展开更多
Given the growing concern over global warming and the critical role of carbon dioxide(CO_(2))in this phenomenon,the study of CO_(2)-induced alterations in coal strength has garnered significant attention due to its im...Given the growing concern over global warming and the critical role of carbon dioxide(CO_(2))in this phenomenon,the study of CO_(2)-induced alterations in coal strength has garnered significant attention due to its implications for carbon sequestration.A large number of experiments have proved that CO_(2) interaction time(T),saturation pressure(P)and other parameters have significant effects on coal strength.However,accurate evaluation of CO_(2)-induced alterations in coal strength is still a difficult problem,so it is particularly important to establish accurate and efficient prediction models.This study explored the application of advancedmachine learning(ML)algorithms and Gene Expression Programming(GEP)techniques to predict CO_(2)-induced alterations in coal strength.Sixmodels were developed,including three metaheuristic-optimized XGBoost models(GWO-XGBoost,SSA-XGBoost,PO-XGBoost)and three GEP models(GEP-1,GEP-2,GEP-3).Comprehensive evaluations using multiple metrics revealed that all models demonstrated high predictive accuracy,with the SSA-XGBoost model achieving the best performance(R2—Coefficient of determination=0.99396,RMSE—Root Mean Square Error=0.62102,MAE—Mean Absolute Error=0.36164,MAPE—Mean Absolute Percentage Error=4.8101%,RPD—Residual Predictive Deviation=13.4741).Model interpretability analyses using SHAP(Shapley Additive exPlanations),ICE(Individual Conditional Expectation),and PDP(Partial Dependence Plot)techniques highlighted the dominant role of fixed carbon content(FC)and significant interactions between FC and CO_(2) saturation pressure(P).Theresults demonstrated that the proposedmodels effectively address the challenges of CO_(2)-induced strength prediction,providing valuable insights for geological storage safety and environmental applications.展开更多
Assessing the stability of pillars in underground mines(especially in deep underground mines)is a critical concern during both the design and the operational phases of a project.This study mainly focuses on developing...Assessing the stability of pillars in underground mines(especially in deep underground mines)is a critical concern during both the design and the operational phases of a project.This study mainly focuses on developing two practical models to predict pillar stability status.For this purpose,two robust models were developed using a database including 236 case histories from seven underground hard rock mines,based on gene expression programming(GEP)and decision tree-support vector machine(DT-SVM)hybrid algorithms.The performance of the developed models was evaluated based on four common statistical criteria(sensitivity,specificity,Matthews correlation coefficient,and accuracy),receiver operating characteristic(ROC)curve,and testing data sets.The results showed that the GEP and DT-SVM models performed exceptionally well in assessing pillar stability,showing a high level of accuracy.The DT-SVM model,in particular,outperformed the GEP model(accuracy of 0.914,sensitivity of 0.842,specificity of 0.929,Matthews correlation coefficient of 0.767,and area under the ROC of 0.897 for the test data set).Furthermore,upon comparing the developed models with the previous ones,it was revealed that both models can effectively determine the condition of pillar stability with low uncertainty and acceptable accuracy.This suggests that these models could serve as dependable tools for project managers,aiding in the evaluation of pillar stability during the design and operational phases of mining projects,despite the inherent challenges in this domain.展开更多
Excessive abdominal fat deposition seriously restricts the production efficiency of broilers.Several studies found that dietary supplemental manganese(Mn)could effectively reduce the abdominal fat deposition of broile...Excessive abdominal fat deposition seriously restricts the production efficiency of broilers.Several studies found that dietary supplemental manganese(Mn)could effectively reduce the abdominal fat deposition of broilers,but the underlying mechanisms remain unclear.The present study aimed to investigate the effect of dietary supplementation with the inorganic or organic Mn on abdominal fat deposition,and enzyme activity and gene expression involved in lipid metabolism in the abdominal fat of male or female broilers.A total of 4201-d-old AA broilers(half males and half females)were randomly allotted by body weight and gender to 1 of 6 treatments with 10 replicates cages of 7 chicks per cage in a completely randomized design involving a 3(dietary Mn addition)×2(gender)factorial arrangement.Male or female broilers were fed with the Mn-unsupplemented basal diets containing 17.52 mg Mn kg^(-1)(d 1-21)and 15.62 mg Mn kg^(-1)(d 22-42)by analysis or the basal diets supplemented with 110 mg Mn kg^(-1)(d 1-21)and 80 mg Mn kg^(-1)(d 22-42)as either the Mn sulfate or the Mn proteinate with moderate chelation strength(Mn-Prot M)for 42 d.The results showed that the interaction between dietary Mn addition and gender had no impact(P>0.05)on any of the measured parameters;abdominal fat percentage of broilers was decreased(P<0.003)by Mn addition;Mn addition increased(P<0.004)adipose triglyceride lipase(ATGL)activity,while Mn-Prot M decreased(P<0.002)the fatty acid synthase(FAS)activity in the abdominal fat of broilers compared to the control;Mn addition decreased(P<0.009)diacylglycerol acyltransferase 2(DGAT2)mRNA expression level and peroxisome proliferator-activated receptor γ(PPARγ)mRNA and protein expression levels,but up-regulated(P<0.05)the ATGL mRNA and protein expression levels in the abdominal fat of broilers.It was concluded that dietary supplementation with Mn inhibited the abdominal fat deposition of broilers possibly via decreasing the expression of PPARγand DGAT2 as well as increasing the expression and activity of ATGL in the abdominal fat of broilers,and Mn-Prot M was more effective in inhibiting the FAS acitivity.展开更多
Background Milk synthesis in lactating animals demands high energy metabolism,which results in an increased production of reactive oxygen metabolites(ROM)causing an imbalance between oxidants and antioxidants thereby ...Background Milk synthesis in lactating animals demands high energy metabolism,which results in an increased production of reactive oxygen metabolites(ROM)causing an imbalance between oxidants and antioxidants thereby inducing oxidative stress(OS)on the animals.To mitigate OS and postpartum disorders in dairy goats and gain insight into the impact of dietary choices on redox status during lactation,a feeding trial was conducted using alfalfa silage inoculated with a high-antioxidant strain of Lactiplantibacillus plantarum.Methods Twenty-four Guanzhong dairy goats(38.1±1.20 kg)were randomly assigned to two dietary treatments:one containing silage inoculated with L.plantarum MTD/1(RSMTD-1),and the other containing silage inoculated with high antioxidant activity L.plantarum 24-7(ES24-7).Results ES24-7-inoculated silage exhibited better fermentation quality and antioxidant activity compared to RSMTD-1.The ES24-7 diet elevated the total antioxidant capacity(T-AOC),superoxide dismutase(SOD),glutathione peroxi-dase(GSH-Px),and catalase(CAT)activities in milk,serum,and feces of lactating goats(with the exception of T-AOC in milk).Additionally,the diet containing ES24-7 inoculated silage enhanced casein yield,milk free fatty acid(FFA)content,and vitamin A level in the goats’milk.Furthermore,an increase of immunoglobulin(Ig)A,IgG,IgM,inter-leukin(IL)-4,and IL-10 concentrations were observed,coupled with a reduction in IL-1β,IL-2,IL-6,interferon(IFN)-γ,and tumor necrosis factor(TNF)-αconcentrations in the serum of lactating goats fed ES24-7.Higher concentrations of total volatile fatty acid(VFA),acetate,and propionate were observed in the rumen fluid of dairy goats fed ES24-7 inoculated silage.Moreover,the diet containing ES24-7 inoculated silage significantly upregulated the expression of nuclear factor erythroid 2 like 2(NFE2L2),beta-carotene oxygenase 1(BCO1),SOD1,SOD2,SOD3,GPX2,CAT,glu-tathione-disulfide reductase(GSR),and heme oxygenase 1(HMOX1)genes in the mammary gland,while decreased the levels of NADPH oxidase 4(NOX4),TNF,and interferon gamma(IFNG).Conclusions These findings indicated that feeding L.plantarum 24-7 inoculated alfalfa silage not only improved rumen fermentation and milk quality in lactating dairy goats but also boosted their immunity and antioxidant status by modulating the expression of several genes related to antioxidant and inflammation in the mammary gland.展开更多
Pyraclostrobin(PYR),a widely used fungicide,has negative effects on fish and algae,but its toxicity in protozoa remains unclear.In this study,the effects of PYR on the growth,oxidative stress,and gene expression relat...Pyraclostrobin(PYR),a widely used fungicide,has negative effects on fish and algae,but its toxicity in protozoa remains unclear.In this study,the effects of PYR on the growth,oxidative stress,and gene expression related to stress and ATP-binding cassette(ABC)transporters in Tetrahymena thermophila were investigated.The result showed that the 96-h IC_(50)of PYR against T.thermophila was 17.2 mg/L.Moreover,PYR inhibited the growth of T.thermophila in concentration-or time-dependent manner.A morphological study revealed that the shape and size of T.thermophila changed,and damage of cell membrane surface was observed by scanning electron microscopy after 96 h of PYR exposure.The activities of superoxide dismutase(SOD)and catalase(CAT)increased throughout the experiment.In contrast,the glutathione(GSH)content was increased at 24 h and 48 h of exposure and decreased at 96 h.Moreover,a significant increase in malondialdehyde(MDA)level was observed in T.thermophila after96 h of exposure.Furthermore,PYR upregulated the HSP703,HSP705,GPx2,and ABAC15 gene expression in the 0.1–5-mg/L groups and downregulated the HSP704,HSP90,TGR,and ABCC52 mRNA levels at 96 h of exposure.These results suggest that PYR may exert adverse effects on T.thermophila by inducing oxidative stress and changing the gene expression related to ABC transporters and stress,which may enrich the understanding of the toxicity mechanism of PYR in aquatic organisms and provide reference data for aquatic ecological risk assessments.展开更多
Deep learning(DL)plays a critical role in processing and converting data into knowledge and decisions.DL technologies have been applied in a variety of applications,including image,video,and genome sequence analysis.I...Deep learning(DL)plays a critical role in processing and converting data into knowledge and decisions.DL technologies have been applied in a variety of applications,including image,video,and genome sequence analysis.In deep learning the most widely utilized architecture is Convolutional Neural Networks(CNN)are taught discriminatory traits in a supervised environment.In comparison to other classic neural networks,CNN makes use of a limited number of artificial neurons,therefore it is ideal for the recognition and processing of wheat gene sequences.Wheat is an essential crop of cereals for people around the world.Wheat Genotypes identification has an impact on the possible development of many countries in the agricultural sector.In quantitative genetics prediction of genetic values is a central issue.Wheat is an allohexaploid(AABBDD)with three distinct genomes.The sizes of the wheat genome are quite large compared to many other kinds and the availability of a diversity of genetic knowledge and normal structure at breeding lines of wheat,Therefore,genome sequence approaches based on techniques of Artificial Intelligence(AI)are necessary.This paper focuses on using the Wheat genome sequence will assist wheat producers in making better use of their genetic resources and managing genetic variation in their breeding program,as well as propose a novel model based on deep learning for offering a fundamental overview of genomic prediction theory and current constraints.In this paper,the hyperparameters of the network are optimized in the CNN to decrease the requirement for manual search and enhance network performance using a new proposed model built on an optimization algorithm and Convolutional Neural Networks(CNN).展开更多
BACKGROUND In the medical and dental fields,there is a need for studies of new therapeutic approaches for the treatment of bone defects that cause extensive bone loss.Melatonin may be an important endogenous biologica...BACKGROUND In the medical and dental fields,there is a need for studies of new therapeutic approaches for the treatment of bone defects that cause extensive bone loss.Melatonin may be an important endogenous biological factor for bone remodeling,and growth factors may enhance the repair process.AIM To evaluate the gene expression of cytokines(IL-1β,IL-6,IL-10 and TNF-α),markers of osteoclastogenesis(RANK,RANKL and OPG)and MMPs(MMP-1,MMP-2,MMP-8 and MMP-13)from the treatment of melatonin associated with an osteogenic membrane and rhBMP-2 on the recovery of a bone injury.METHODS Sixty-four rats were used and divided into 9 experimental groups and were formed according to the treatment carried out in the region of the bone lesion,which varied between the combination of 1,10 and 100μmol/L of melatonin.Gene Expression analysis was performed using real time-PCR by reading the concentration of total RNA and reverse transcription.RESULTS There were differences between groups when compared with clot or scaffold control,and improvement with a higher concentration of melatonin or rhBMP-2.The combination melatonin(1μg)with 5μg of rhBMP-2,using the guided bone regeneration technique,demonstrated some effects,albeit mild,on bone repair of critical bone defects.CONCLUSION This indicates that the approach for administering these substances needs to be reassessed,with the goal of ensuring their direct application to the affected area.Therefore,future research must be carried out,seeking to produce materials with these ideal characteristics.展开更多
Objective: The effect of Chuanzhi Fang (ZGC) on the whole genome expression profile of RAW264.7 cells activated by lipopolysaccharide (LPS) was analyzed, and to explore the possible mechanism of action and core target...Objective: The effect of Chuanzhi Fang (ZGC) on the whole genome expression profile of RAW264.7 cells activated by lipopolysaccharide (LPS) was analyzed, and to explore the possible mechanism of action and core target of this formula on macrophage inflammatory injury at the overall level. Methods: A model of LPS-induced inflammation in RAW264.7 cells was constructed, and the effect of ZGC intervention on the genome-wide expression of inflammatory macrophages 3was examined by gene microarray technology, GO/KEGG enrichment analysis was performed for significantly differentially expressed genes among each group. Results: The results of genome-wide expression profiling microarray analysis showed that the ZGC intervention group upregulated the expression of 5 genes including C4bp and inhibited the expression of 22 genes including Mgat3, Psma6, and Siglecg relative to the LPS model group. KEGG signaling pathway analysis results showed that ZGC mainly acted through cytokine receptor interaction and the C-type lectin receptor signaling pathway. Conclusion: ZGC can interfere with the abnormal expression of 27 genes in inflammatory macrophages, and the related genes may exert corresponding anti-inflammatory effects by affecting cytokine receptor interactions, C-type lectin receptor signaling pathway, and TLR4/ NF-κB signaling pathway.展开更多
Background: Retinoblastoma, the most common intraocular pediatric cancer, presents complexities in its genetic landscape that necessitate a deeper understanding for improved therapeutic interventions. This study lever...Background: Retinoblastoma, the most common intraocular pediatric cancer, presents complexities in its genetic landscape that necessitate a deeper understanding for improved therapeutic interventions. This study leverages computational tools to dissect the differential gene expression profiles in retinoblastoma. Methods: Employing an in silico approach, we analyzed gene expression data from public repositories by applying rigorous statistical models, including limma and de seq 2, for identifying differentially expressed genes DEGs. Our findings were validated through cross-referencing with independent datasets and existing literature. We further employed functional annotation and pathway analysis to elucidate the biological significance of these DEGs. Results: Our computational analysis confirmed the dysregulation of key retinoblastoma-associated genes. In comparison to normal retinal tissue, RB1 exhibited a 2.5-fold increase in expression (adjusted p Conclusions: Our analysis reinforces the critical genetic alterations known in retinoblastoma and unveils new avenues for research into the disease’s molecular basis. The discovery of chemoresistance markers and immune-related genes opens potential pathways for personalized treatment strategies. The study’s outcomes emphasize the power of in silico analyses in unraveling complex cancer genomics.展开更多
Lung cancer remains a significant global health challenge and identifying lung cancer at an early stage is essential for enhancing patient outcomes. The study focuses on developing and optimizing gene expression-based...Lung cancer remains a significant global health challenge and identifying lung cancer at an early stage is essential for enhancing patient outcomes. The study focuses on developing and optimizing gene expression-based models for classifying cancer types using machine learning techniques. By applying Log2 normalization to gene expression data and conducting Wilcoxon rank sum tests, the researchers employed various classifiers and Incremental Feature Selection (IFS) strategies. The study culminated in two optimized models using the XGBoost classifier, comprising 10 and 74 genes respectively. The 10-gene model, due to its simplicity, is proposed for easier clinical implementation, whereas the 74-gene model exhibited superior performance in terms of Specificity, AUC (Area Under the Curve), and Precision. These models were evaluated based on their sensitivity, AUC, and specificity, aiming to achieve high sensitivity and AUC while maintaining reasonable specificity.展开更多
Background: While sunscreen has been accepted as a mainline defence against photodamage from ultraviolet, visible light and near-infrared radiation, there appears to be a lack of research into photorepair. The concept...Background: While sunscreen has been accepted as a mainline defence against photodamage from ultraviolet, visible light and near-infrared radiation, there appears to be a lack of research into photorepair. The concept of protecting the skin during the day and repairing cellular damage at night is intuitive, yet specific strategies revolving around combinations of proven reparative active ingredients remain unelucidated. Purpose: To investigate the efficacy of a solar repair Formulation following ultraviolet and environmental exposure in order to improve overall skin health and appearance through three hypotheses: The Formulation increases expression of DNA repair mechanisms markers;The Formulation enhances overall skin appearance through reducing signs of inflammation, elevating hydration, reinforcing skin firmness and amplifying radiance;In-Vivo efficacy test results are aligned with measured gene expression changes. Methods: The Formulation (#6NIC1.V1.1-1) was tested for: In-vitro LDH cytotoxicity activity, In-vitro qPCR gene expression with and without ultraviolet exposure on a reconstructed 3-dimensional skin model, and In-Vivo efficacy study on a panel of 22 participants objectively and subjectively. Results: Skin radiance, firmness, hydration, redness, and inflammation are significantly improved after In-Vivo skin exposure to the Formulation and environmental challenges such as ultraviolet radiation. These outcomes were confirmed by in-vitro genetic testing on a reconstructed human skin model. Conclusion: The studies allowed us to identify and group results in four main skin functions that were significantly enhanced following the application of the Formulation: firmness, hydration, radiance and soothing.展开更多
基金supported by the Russian Science Foundation(No.22-16-00128),“Investigation of the Toxic Effect of Glyphosates on the Functional State of the Bird Intestinal Microbial Community,Their Growth and Development,and the Development of a Biological Product Based on the Glyphosate Degrading Strain”.
文摘Drugs and pesticide residues in broiler feed can compromise the therapeutic and production benefits of antibiotic(ANT)application and affect gene expression.In this study,we analyzed the expression of 13 key pancreatic genes and blood physiology parameters after administering one maximum residue limit of herbicide glyphosate(GLY),two ANTs,and one anticoccidial drug(AD).A total of 260 Ross 308 broilers aged 1-40 d were divided into the following four groups of 65 birds each:control group,which was fed the main diet(MD),and three experimental groups,which were fed MD supplemented with GLY,GLY+ANTs(enrofloxacin and colistin methanesulfonate),and GLY+AD(ammonium maduramicin),respectively.The results showed that the addition of GLY,GLY+ANTs,and GLY+AD caused significant changes in the expression of several genes of physiological and economic importance.In particular,genes related to inflammation and apoptosis(interleukin 6(IL6),prostaglandin-endoperoxide synthase 2(PTGS2),and caspase 6(CASP6))were downregulated by up to 99.1%,and those related to antioxidant protection(catalase(CAT),superoxide dismutase 1(SOD1)and peroxiredoxin 6(PRDX6))by up to 98.6%,compared to controls.There was also a significant decline in the values of immunological characteristics in the blood serum observed in the experimental groups,and certain changes in gene expression were concordant with changes in the functioning of the pancreas and blood.The changes revealed in gene expression and blood indices in response to GLY,ANTs,and AD provide insights into the possible mechanisms of action of these agents at the molecular level.Specifically,these changes may be indicative of physiological mechanisms to overcome the negative effects of GLY,GLY+ANTs,and GLY+AD in broilers.
基金supported by the National Natural Science Foundation of China(32172010)the Major Program of Guangdong Basic and Applied Basic Research(2019B030302006).
文摘Short tandem repeats(STRs)modulate gene expression and contribute to trait variation.However,a systematic evaluation of the genomic characteristics of STRs has not been conducted,and their influence on gene expression in rice remains unclear.Here,we construct a map of 137,629 polymorphic STRs in the rice(Oryza sativa L.)genome using a population-scale resequencing dataset.A genome-wide survey encompassing 4726 accessions shows that the occurrence frequency,mutational patterns,chromosomal distribution,and functional properties of STRs are correlated with the sequences and lengths of repeat motifs.Leveraging a transcriptome dataset from 127 rice accessions,we identify 44,672 expression STRs(eSTRs)by modeling gene expression in response to the length variation of STRs.These eSTRs are notably enriched in the regulatory regions of genes with active transcriptional signatures.Population analysis identifies numerous STRs that have undergone genetic divergence among different rice groups and 1726 tagged STRs that may be associated with agronomic traits.By editing the(ACT)_(7) STR in OsFD1 promoter,we further experimentally validate its role in regulating gene expression and phenotype.Our study highlights the contribution of STRs to transcriptional regulation in plants and establishes the foundation for their potential use as alternative targets for genetic improvement.
文摘Background:With growing interest in space exploration,understanding microgravity’s impact on human health is essential.This study aims to investigate gene expression changes and migration and invasion potential infive thyroid-related cell lines cultured under simulated microgravity.Methods:Five thyroid-related cell lines—normal thyrocytes(Nthy-ori 3-1),papillary thyroid cancer(PTC)cells(SNU-790,TPC-1),poorly differentiated thyroid cancer cell(BCPAP),and anaplastic thyroid cancer cell(SNU-80)—were cultured under simulated microgravity(10-3 g)using a clinostat.Differentially expressed genes(DEGs)were analyzed using cDNA microarray,followed by functional annotation and assessment of aggressiveness via Transwell migration and invasion assays.Results:DEG analysis under simulated microgravity revealed distinct gene expression profiles by gravity condition,with 2980 DEGs in SNU-790,1033 in BCPAP,562 in TPC-1,477 in Nthy-ori 3-1,and 246 in SNU-80,as confirmed by hierarchical clustering.In PTC cell lines(SNU-790,TPC-1),G2–M phase–related genes were upregulated.In non-PTC cell lines(BCPAP,SNU-80),genes associated with innate immune response,Toll-like receptor signaling,were upregulated,whereas Hypoxia-Inducible Factor 1-alpha(HIF-1α)signaling-related genes were downregulated.Additionally,under simulated microgravity,significant migration was observed in SNU-790(3×104 cells)and BCPAP(2×104 and 3×104),while significant invasion occurred in SNU-790,Nthy-ori 3-1,and BCPAP at a seeding density of 2×104.Other conditions showed no significant differences.Conclusion:This study comprehensively evaluates the effects of simulated microgravity using a diverse panel of thyroid-related cell lines.Thesefindings provide valuable insight into how microgravity could influence cancer biology,emphasizing the importance of further research on cancer behavior in space environments and its implications for human health during long-term space missions.
基金financially supported by the Guangdong Major Project of Basic and Applied Basic Research,China(2021B0301030004)the National Natural Science Foundation of China(32360757,U2202206 and 32361143517)the Yunnan Fundamental Research Projects,China(202201AT070037,202501AS070012)。
文摘Highlights●Natural variations in the SGT3 promoter TATA box repeats directly modulate gene expression and SGAs content in tubers,providing a novel molecular marker for low-steroidal glycoalkaloids(SGAs)breeding.●The SGT3 promoter haplotype with(TA)10exhibits signifcantly higher transcriptional activity,correlating with high SGAs content,while the(TA)13haplotype is linked to low SGAs in natural germplasms.
基金supported by the National Natural Science Foundation of China(Grant No.31570651)。
文摘N^(6)-Methyladenosine(m^(6)A)is the most common modification in the transcriptome of biological RNA and plays roles that include maintaining the stability and transportation of mRNA,mRNA precursor shearing,polyadenylation,and the initiation of translation.With the improving understanding of RNA methylation,m^(6)A modification is known to play vital roles in plant development and growth.The multi-petalization of flowering plants has high ornamental and research value in horticultural landscapes.However,the mechanism of RNA methylation in flower formation in Magnolia wufengensis,a classical multi-petalizational plant,remains unclear.This study compared and analyzed RNA m^(6)A methylation and the transcriptome in floral buds of two varieties with large differences in tepal number at the early stage of development.It was found that the degree of RNA m^(6)A methylation and relative expression levels of MawuAGL6-2,MawuPI-4,and MawuAGL9 in‘Jiaodan’with 36 tepals were significantly higher than those in‘Jiaohong’with 9 tepals during the development of floral organ primordia.Combined with quantitative real-time PCR,the expression levels of MawuAGL6-2,MawuPI-4,and MawuAGL9were positively correlated with the number of tepals.Transgenic experiments showed that MawuAGL6-1/2,and MawuPI-4 can increase the number of petals in Arabidopsis.Moreover,MawuAGL6-2 and MawuPI-4 can restore the missing petal phenotype of mutant Arabidopsis.Yeast two hybrid and yeast three hybrid indicated that MawuAGL6-2,MawuAP3-1/2,and MawuPI-4 could interact with each other under the mediation of the class E protein MawuAGL9.Based on these results,it is hypothesized that m^(6)A methylation influences the multi-petalization of Magnolia wufengensis by affecting the expression levels of MawuAGL6-2,MawuAP3-1/2,MawuPI-4,and MawuAGL9.These findings provide a better understanding of the molecular mechanisms of epigenetic modifications in flower developmental diversity.
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 through National Research Foundation(NRF)of Korea grants funded by the Korean Government(No.NRF-2022R1F1A1064405)the research fund of Catholic Kwandong University and Catholic Kwandong University International St.Mary’s Hospital for S.-W Kim.
文摘Objectives:Despite the considerable regenerative capacity exhibited by adipose-derived mesenchymal stem cells(ASCs),their genetic and molecular mechanisms remain incompletely understood.Methods:In this study,we analyzed the global gene expression profile of adipose-derived mesenchymal stem cells(ASCs)using microarray analysis and compared it with stromal vascular fraction(SVF)cells.Results:Microarray analysis revealed that ASCs express elevated levels of genes related to the extracellular matrix(ECM;extracellular matrix)and collagen,which are critical components of tissue remodeling and wound healing.Additionally,genes associated with cell growth,differentiation,motility,and plasticity were highly expressed.When compared to stromal vascular fraction(SVF)cells,ASCs demonstrated enrichment of genes involved in anti-inflammatory responses,immune modulation,tissue repair,cell adhesion,and migration processes.Gene Set Enrichment Analysis(GSEA;Gene Set Enrichment Analysis)showed activation of pathways related to angiogenesis,such as vascular endothelial growth factor(VEGF),Integrin,Wnt signaling pathways,transforming growth factor-beta(TGF-β),extracellular matrix(ECM),and matrix metalloproteinase(MMP),highlighting the significant angiogenic potential of ASCs.Gene Ontology(GO;Gene Ontology)analysis further linked ASCs to biological processes associated with the regulation of cell proliferation and muscle cell differentiation.Conclusion:These findings collectively underscore the suitability of adipose-derived mesenchymal stem cells(ASCs)as a promising candidate for regenerative medicine,particularly in applications involving tissue repair,immune modulation,and promotion of angiogenesis.
基金National Key Research and Development Program of China(2022YFF1000103)Postdoctoral Fellowship Program of CPSF under Grant Number GZC20240620.
文摘Background Mobile element variants(MEVs)have a significant and complex impact on genomic diversity and phe-notypic traits.However,the quantity,distribution,and relationship with gene expression and complex traits of MEVs in the pig genome remain poorly understood.Results We constructed the most comprehensive porcine MEV library based on high-depth whole genome sequencing(WGS)data from 747 pigs across 59 breeds worldwide.This database identified a total of 147,993 poly-morphic MEVs,including 121,099 short interspersed nuclear elements(SINEs),26,053 long interspersed nuclear elements(LINEs),802 long terminal repeats(LTRs),and 39 other transposons,among which 54%are newly discovered.We found that MEVs are unevenly distributed across the genome and are strongly influenced by negative selec-tion effects.Importantly,we identified 514,530,and 584 candidate MEVs associated with population differentiation,domestication,and breed formation,respectively.For example,a significantly differentiated MEV is located in the ATRX intron between Asian and European pigs,whereas ATRX is also differentially expressed between Asian and European pigs in muscle tissue.In addition,we identified 4,169 expressed MEVs(eMEVs)significantly associated with gene expression and 6,914 splicing MEVs(sMEVs)associated with gene splicing based on RNA-seq data from 266 porcine liver tissues.These eMEVs and sMEVs explain 6.24%and 9.47%,respectively,of the observed cis-heritability and high-light the important role of MEVs in the regulation of gene expression.Finally,we provide a high-quality SNP–MEV reference haplotype panel to impute MEV genotypes from genome-wide SNPs.Notably,we identified a candidate MEV significantly associated with total teat number,demonstrating the functionality of this reference panel.Conclusions The present investigation demonstrated the importance of MEVs in pigs in terms of population diversity,gene expression and phenotypic traits,which may provide useful resources and theoretical support for pig genetics and breeding.
基金partially supported by the National Natural Science Foundation of China(42177164,52474121)the Outstanding Youth Project of Hunan Provincial Department of Education(23B0008).
文摘Given the growing concern over global warming and the critical role of carbon dioxide(CO_(2))in this phenomenon,the study of CO_(2)-induced alterations in coal strength has garnered significant attention due to its implications for carbon sequestration.A large number of experiments have proved that CO_(2) interaction time(T),saturation pressure(P)and other parameters have significant effects on coal strength.However,accurate evaluation of CO_(2)-induced alterations in coal strength is still a difficult problem,so it is particularly important to establish accurate and efficient prediction models.This study explored the application of advancedmachine learning(ML)algorithms and Gene Expression Programming(GEP)techniques to predict CO_(2)-induced alterations in coal strength.Sixmodels were developed,including three metaheuristic-optimized XGBoost models(GWO-XGBoost,SSA-XGBoost,PO-XGBoost)and three GEP models(GEP-1,GEP-2,GEP-3).Comprehensive evaluations using multiple metrics revealed that all models demonstrated high predictive accuracy,with the SSA-XGBoost model achieving the best performance(R2—Coefficient of determination=0.99396,RMSE—Root Mean Square Error=0.62102,MAE—Mean Absolute Error=0.36164,MAPE—Mean Absolute Percentage Error=4.8101%,RPD—Residual Predictive Deviation=13.4741).Model interpretability analyses using SHAP(Shapley Additive exPlanations),ICE(Individual Conditional Expectation),and PDP(Partial Dependence Plot)techniques highlighted the dominant role of fixed carbon content(FC)and significant interactions between FC and CO_(2) saturation pressure(P).Theresults demonstrated that the proposedmodels effectively address the challenges of CO_(2)-induced strength prediction,providing valuable insights for geological storage safety and environmental applications.
文摘Assessing the stability of pillars in underground mines(especially in deep underground mines)is a critical concern during both the design and the operational phases of a project.This study mainly focuses on developing two practical models to predict pillar stability status.For this purpose,two robust models were developed using a database including 236 case histories from seven underground hard rock mines,based on gene expression programming(GEP)and decision tree-support vector machine(DT-SVM)hybrid algorithms.The performance of the developed models was evaluated based on four common statistical criteria(sensitivity,specificity,Matthews correlation coefficient,and accuracy),receiver operating characteristic(ROC)curve,and testing data sets.The results showed that the GEP and DT-SVM models performed exceptionally well in assessing pillar stability,showing a high level of accuracy.The DT-SVM model,in particular,outperformed the GEP model(accuracy of 0.914,sensitivity of 0.842,specificity of 0.929,Matthews correlation coefficient of 0.767,and area under the ROC of 0.897 for the test data set).Furthermore,upon comparing the developed models with the previous ones,it was revealed that both models can effectively determine the condition of pillar stability with low uncertainty and acceptable accuracy.This suggests that these models could serve as dependable tools for project managers,aiding in the evaluation of pillar stability during the design and operational phases of mining projects,despite the inherent challenges in this domain.
基金financially supported by the National Natural Science Foundation of China(32102559)the Jiangsu Shuang Chuang Tuan Dui Program,China(JSSCTD202147)the Jiangsu Shuang Chuang Ren Cai Program,China(JSSCRC2021541)。
文摘Excessive abdominal fat deposition seriously restricts the production efficiency of broilers.Several studies found that dietary supplemental manganese(Mn)could effectively reduce the abdominal fat deposition of broilers,but the underlying mechanisms remain unclear.The present study aimed to investigate the effect of dietary supplementation with the inorganic or organic Mn on abdominal fat deposition,and enzyme activity and gene expression involved in lipid metabolism in the abdominal fat of male or female broilers.A total of 4201-d-old AA broilers(half males and half females)were randomly allotted by body weight and gender to 1 of 6 treatments with 10 replicates cages of 7 chicks per cage in a completely randomized design involving a 3(dietary Mn addition)×2(gender)factorial arrangement.Male or female broilers were fed with the Mn-unsupplemented basal diets containing 17.52 mg Mn kg^(-1)(d 1-21)and 15.62 mg Mn kg^(-1)(d 22-42)by analysis or the basal diets supplemented with 110 mg Mn kg^(-1)(d 1-21)and 80 mg Mn kg^(-1)(d 22-42)as either the Mn sulfate or the Mn proteinate with moderate chelation strength(Mn-Prot M)for 42 d.The results showed that the interaction between dietary Mn addition and gender had no impact(P>0.05)on any of the measured parameters;abdominal fat percentage of broilers was decreased(P<0.003)by Mn addition;Mn addition increased(P<0.004)adipose triglyceride lipase(ATGL)activity,while Mn-Prot M decreased(P<0.002)the fatty acid synthase(FAS)activity in the abdominal fat of broilers compared to the control;Mn addition decreased(P<0.009)diacylglycerol acyltransferase 2(DGAT2)mRNA expression level and peroxisome proliferator-activated receptor γ(PPARγ)mRNA and protein expression levels,but up-regulated(P<0.05)the ATGL mRNA and protein expression levels in the abdominal fat of broilers.It was concluded that dietary supplementation with Mn inhibited the abdominal fat deposition of broilers possibly via decreasing the expression of PPARγand DGAT2 as well as increasing the expression and activity of ATGL in the abdominal fat of broilers,and Mn-Prot M was more effective in inhibiting the FAS acitivity.
基金supported by the National Natural Science Foundation of China (No. U20A2002)China Postdoctoral Science Foundation (No. 2023T160284)recipient of a research productivity fellowship from CNPq (National Council of Scientific and Technological Development) in Brazil
文摘Background Milk synthesis in lactating animals demands high energy metabolism,which results in an increased production of reactive oxygen metabolites(ROM)causing an imbalance between oxidants and antioxidants thereby inducing oxidative stress(OS)on the animals.To mitigate OS and postpartum disorders in dairy goats and gain insight into the impact of dietary choices on redox status during lactation,a feeding trial was conducted using alfalfa silage inoculated with a high-antioxidant strain of Lactiplantibacillus plantarum.Methods Twenty-four Guanzhong dairy goats(38.1±1.20 kg)were randomly assigned to two dietary treatments:one containing silage inoculated with L.plantarum MTD/1(RSMTD-1),and the other containing silage inoculated with high antioxidant activity L.plantarum 24-7(ES24-7).Results ES24-7-inoculated silage exhibited better fermentation quality and antioxidant activity compared to RSMTD-1.The ES24-7 diet elevated the total antioxidant capacity(T-AOC),superoxide dismutase(SOD),glutathione peroxi-dase(GSH-Px),and catalase(CAT)activities in milk,serum,and feces of lactating goats(with the exception of T-AOC in milk).Additionally,the diet containing ES24-7 inoculated silage enhanced casein yield,milk free fatty acid(FFA)content,and vitamin A level in the goats’milk.Furthermore,an increase of immunoglobulin(Ig)A,IgG,IgM,inter-leukin(IL)-4,and IL-10 concentrations were observed,coupled with a reduction in IL-1β,IL-2,IL-6,interferon(IFN)-γ,and tumor necrosis factor(TNF)-αconcentrations in the serum of lactating goats fed ES24-7.Higher concentrations of total volatile fatty acid(VFA),acetate,and propionate were observed in the rumen fluid of dairy goats fed ES24-7 inoculated silage.Moreover,the diet containing ES24-7 inoculated silage significantly upregulated the expression of nuclear factor erythroid 2 like 2(NFE2L2),beta-carotene oxygenase 1(BCO1),SOD1,SOD2,SOD3,GPX2,CAT,glu-tathione-disulfide reductase(GSR),and heme oxygenase 1(HMOX1)genes in the mammary gland,while decreased the levels of NADPH oxidase 4(NOX4),TNF,and interferon gamma(IFNG).Conclusions These findings indicated that feeding L.plantarum 24-7 inoculated alfalfa silage not only improved rumen fermentation and milk quality in lactating dairy goats but also boosted their immunity and antioxidant status by modulating the expression of several genes related to antioxidant and inflammation in the mammary gland.
基金the Key Scientific Research Projects of Henan Province to College Youth Backbone Teacher(No.2021118)the National Key Research and Development Program of China(No.2021YFE0112000)。
文摘Pyraclostrobin(PYR),a widely used fungicide,has negative effects on fish and algae,but its toxicity in protozoa remains unclear.In this study,the effects of PYR on the growth,oxidative stress,and gene expression related to stress and ATP-binding cassette(ABC)transporters in Tetrahymena thermophila were investigated.The result showed that the 96-h IC_(50)of PYR against T.thermophila was 17.2 mg/L.Moreover,PYR inhibited the growth of T.thermophila in concentration-or time-dependent manner.A morphological study revealed that the shape and size of T.thermophila changed,and damage of cell membrane surface was observed by scanning electron microscopy after 96 h of PYR exposure.The activities of superoxide dismutase(SOD)and catalase(CAT)increased throughout the experiment.In contrast,the glutathione(GSH)content was increased at 24 h and 48 h of exposure and decreased at 96 h.Moreover,a significant increase in malondialdehyde(MDA)level was observed in T.thermophila after96 h of exposure.Furthermore,PYR upregulated the HSP703,HSP705,GPx2,and ABAC15 gene expression in the 0.1–5-mg/L groups and downregulated the HSP704,HSP90,TGR,and ABCC52 mRNA levels at 96 h of exposure.These results suggest that PYR may exert adverse effects on T.thermophila by inducing oxidative stress and changing the gene expression related to ABC transporters and stress,which may enrich the understanding of the toxicity mechanism of PYR in aquatic organisms and provide reference data for aquatic ecological risk assessments.
基金This research was supported by Korea Institute for Advancement of Technology(KIAT)grant funded by the Korea Government(MOTIE)(P0012724,The Competency Development Program for Industry Specialist)the National Research Foundation of Korea(NRF)grant funded by theKorea government(MSIT)(No.RS-2023-00218176)the Soonchunhyang University Research Fund.
文摘Deep learning(DL)plays a critical role in processing and converting data into knowledge and decisions.DL technologies have been applied in a variety of applications,including image,video,and genome sequence analysis.In deep learning the most widely utilized architecture is Convolutional Neural Networks(CNN)are taught discriminatory traits in a supervised environment.In comparison to other classic neural networks,CNN makes use of a limited number of artificial neurons,therefore it is ideal for the recognition and processing of wheat gene sequences.Wheat is an essential crop of cereals for people around the world.Wheat Genotypes identification has an impact on the possible development of many countries in the agricultural sector.In quantitative genetics prediction of genetic values is a central issue.Wheat is an allohexaploid(AABBDD)with three distinct genomes.The sizes of the wheat genome are quite large compared to many other kinds and the availability of a diversity of genetic knowledge and normal structure at breeding lines of wheat,Therefore,genome sequence approaches based on techniques of Artificial Intelligence(AI)are necessary.This paper focuses on using the Wheat genome sequence will assist wheat producers in making better use of their genetic resources and managing genetic variation in their breeding program,as well as propose a novel model based on deep learning for offering a fundamental overview of genomic prediction theory and current constraints.In this paper,the hyperparameters of the network are optimized in the CNN to decrease the requirement for manual search and enhance network performance using a new proposed model built on an optimization algorithm and Convolutional Neural Networks(CNN).
文摘BACKGROUND In the medical and dental fields,there is a need for studies of new therapeutic approaches for the treatment of bone defects that cause extensive bone loss.Melatonin may be an important endogenous biological factor for bone remodeling,and growth factors may enhance the repair process.AIM To evaluate the gene expression of cytokines(IL-1β,IL-6,IL-10 and TNF-α),markers of osteoclastogenesis(RANK,RANKL and OPG)and MMPs(MMP-1,MMP-2,MMP-8 and MMP-13)from the treatment of melatonin associated with an osteogenic membrane and rhBMP-2 on the recovery of a bone injury.METHODS Sixty-four rats were used and divided into 9 experimental groups and were formed according to the treatment carried out in the region of the bone lesion,which varied between the combination of 1,10 and 100μmol/L of melatonin.Gene Expression analysis was performed using real time-PCR by reading the concentration of total RNA and reverse transcription.RESULTS There were differences between groups when compared with clot or scaffold control,and improvement with a higher concentration of melatonin or rhBMP-2.The combination melatonin(1μg)with 5μg of rhBMP-2,using the guided bone regeneration technique,demonstrated some effects,albeit mild,on bone repair of critical bone defects.CONCLUSION This indicates that the approach for administering these substances needs to be reassessed,with the goal of ensuring their direct application to the affected area.Therefore,future research must be carried out,seeking to produce materials with these ideal characteristics.
基金Chinese Academy of Traditional Chinese Medicine Autonomous Topic Selection Project(No.ZZ2018017)Research Development Fund Project of the Medical Experimental Center of the Chinese Academy of Traditional Chinese Medicine(No.FZ2023003)。
文摘Objective: The effect of Chuanzhi Fang (ZGC) on the whole genome expression profile of RAW264.7 cells activated by lipopolysaccharide (LPS) was analyzed, and to explore the possible mechanism of action and core target of this formula on macrophage inflammatory injury at the overall level. Methods: A model of LPS-induced inflammation in RAW264.7 cells was constructed, and the effect of ZGC intervention on the genome-wide expression of inflammatory macrophages 3was examined by gene microarray technology, GO/KEGG enrichment analysis was performed for significantly differentially expressed genes among each group. Results: The results of genome-wide expression profiling microarray analysis showed that the ZGC intervention group upregulated the expression of 5 genes including C4bp and inhibited the expression of 22 genes including Mgat3, Psma6, and Siglecg relative to the LPS model group. KEGG signaling pathway analysis results showed that ZGC mainly acted through cytokine receptor interaction and the C-type lectin receptor signaling pathway. Conclusion: ZGC can interfere with the abnormal expression of 27 genes in inflammatory macrophages, and the related genes may exert corresponding anti-inflammatory effects by affecting cytokine receptor interactions, C-type lectin receptor signaling pathway, and TLR4/ NF-κB signaling pathway.
文摘Background: Retinoblastoma, the most common intraocular pediatric cancer, presents complexities in its genetic landscape that necessitate a deeper understanding for improved therapeutic interventions. This study leverages computational tools to dissect the differential gene expression profiles in retinoblastoma. Methods: Employing an in silico approach, we analyzed gene expression data from public repositories by applying rigorous statistical models, including limma and de seq 2, for identifying differentially expressed genes DEGs. Our findings were validated through cross-referencing with independent datasets and existing literature. We further employed functional annotation and pathway analysis to elucidate the biological significance of these DEGs. Results: Our computational analysis confirmed the dysregulation of key retinoblastoma-associated genes. In comparison to normal retinal tissue, RB1 exhibited a 2.5-fold increase in expression (adjusted p Conclusions: Our analysis reinforces the critical genetic alterations known in retinoblastoma and unveils new avenues for research into the disease’s molecular basis. The discovery of chemoresistance markers and immune-related genes opens potential pathways for personalized treatment strategies. The study’s outcomes emphasize the power of in silico analyses in unraveling complex cancer genomics.
文摘Lung cancer remains a significant global health challenge and identifying lung cancer at an early stage is essential for enhancing patient outcomes. The study focuses on developing and optimizing gene expression-based models for classifying cancer types using machine learning techniques. By applying Log2 normalization to gene expression data and conducting Wilcoxon rank sum tests, the researchers employed various classifiers and Incremental Feature Selection (IFS) strategies. The study culminated in two optimized models using the XGBoost classifier, comprising 10 and 74 genes respectively. The 10-gene model, due to its simplicity, is proposed for easier clinical implementation, whereas the 74-gene model exhibited superior performance in terms of Specificity, AUC (Area Under the Curve), and Precision. These models were evaluated based on their sensitivity, AUC, and specificity, aiming to achieve high sensitivity and AUC while maintaining reasonable specificity.
文摘Background: While sunscreen has been accepted as a mainline defence against photodamage from ultraviolet, visible light and near-infrared radiation, there appears to be a lack of research into photorepair. The concept of protecting the skin during the day and repairing cellular damage at night is intuitive, yet specific strategies revolving around combinations of proven reparative active ingredients remain unelucidated. Purpose: To investigate the efficacy of a solar repair Formulation following ultraviolet and environmental exposure in order to improve overall skin health and appearance through three hypotheses: The Formulation increases expression of DNA repair mechanisms markers;The Formulation enhances overall skin appearance through reducing signs of inflammation, elevating hydration, reinforcing skin firmness and amplifying radiance;In-Vivo efficacy test results are aligned with measured gene expression changes. Methods: The Formulation (#6NIC1.V1.1-1) was tested for: In-vitro LDH cytotoxicity activity, In-vitro qPCR gene expression with and without ultraviolet exposure on a reconstructed 3-dimensional skin model, and In-Vivo efficacy study on a panel of 22 participants objectively and subjectively. Results: Skin radiance, firmness, hydration, redness, and inflammation are significantly improved after In-Vivo skin exposure to the Formulation and environmental challenges such as ultraviolet radiation. These outcomes were confirmed by in-vitro genetic testing on a reconstructed human skin model. Conclusion: The studies allowed us to identify and group results in four main skin functions that were significantly enhanced following the application of the Formulation: firmness, hydration, radiance and soothing.
