Integrated Layout and Transfer of Urban Rail Transit Hubs

This paper is engaged in the research of urban rail transit hub integration and transfer.Firstly,this paper focuses on the space division,the aggregation form of hub subsystems,the spatial layout of hub subsystems,and the design of integrated functions to achieve an integrated layout.In addition,this study also conducted a selection of transfer classification and transfer station layout of urban rail transit hubs,with the aims to promote the improvement of the functions of urban rail transit hubs,the rationality of transfers,and to improve the service quality of the hub system which meet the demand of the public travel.

Philips iU22型及iE33型超声诊断设备故障维修案例分析

总结Philips iU22和iE33型超声诊断设备的结构及常见故障,分析其6例故障原因,确定故障维修方案更换相应元器件或重新安装系统软件等方法维修技术路线,为医院同行的日常维修工作提供一些参考。

脓毒症潜在相关基因的生物信息学分析及功能预测

目的 通过生物信息学方法筛选并分析与脓毒症相关的差异表达基因及关键(Hub)基因,以期为临床诊疗提供潜在靶点和生物标志物。方法 使用基因表达综合数据库(GEO)筛选脓毒症基因表达数据集,运用GEO自带在线分析工具(GEO2R)分析差异表达基因(DEGs);并结合STRING 12.0和DAVID数据库对DEGs进行富集分析;再通过Cytoscape 3.9.1软件筛选出Hub基因,并对其进行功能分析。结果 筛选出328个DEGs,其中上调基因2个,下调基因326个。富集结果显示,DEGs的功能主要与蛋白质修饰、分解代谢、蛋白酶复合物、线粒体及酶活性等有关。通过CytoHubba插件筛选出了核因子κB亚基1(NFKB1)、NEDD8、人NADH-泛醌氧化还原酶A8(NDUFA8)、POLR2F、延伸蛋白B(ELOB)、PSMB6、SEC61A1、COX4I1、人NADH-泛醌氧化还原酶B8(NDUFB8)及ATP5PD 10个Hub基因,经生物过程(BP)可视化发现这些Hub基因在生物过程中相互作用。结论 NFKB1、NEDD8、NDUFA8、POLR2F、ELOB、PSMB6、SEC61A1、COX4I1、NDUFB8及ATP5PD等10个Hub基因可能是脓毒症诊疗的潜在靶点和新型生物标志物,但部分基因对脓毒症发生发展的作用机制研究相对不足,仍需后续进一步验证。

通过生物信息学分析肾移植后慢性排斥反应差异表达基因

目的:通过利用生物信息学技术分析肾移植后慢性排斥反应的差异表达基因,可以筛选出与该疾病发展相关的潜在致病靶点,为寻找新的治疗靶点提供了理论依据。方法:从基因表达谱综合数据库下载基因微阵列数据,并进行交叉计算以确定差异表达基因(DEGs)。将DEGs与基因本体(GO)分析是用来研究基因在不同条件下的表达差异以及其功能和相互关系的方法,而京都基因和基因组百科全书(KEGG)富集分析则是用来探索基因在特定生物过程中的功能和通路的工具。通过对免疫细胞浸润的分布进行计算,可以将排斥组的免疫浸润结果作为性状,在加权基因共表达网络分析(WGCNA)中进行分析,以获得与排斥相关的基因。然后,利用STRING数据库和Cytoscape软件构建蛋白质-蛋白质相互作用网络(PPI),以识别枢纽基因标记。结果:从3个数据集(GSE7392、GSE181757、GSE222889)共获得60个整合后的DEGs。通过GO及KEGG分析,GEDs主要集中在免疫应答的调节、防御反应、免疫系统过程的调节、刺激反应等。通路主要富集在抗原处理和呈递、EB病毒感染、移植物抗宿主、同种异体移植排斥、自然杀伤细胞介导的细胞毒性等。再利用WGCNA和PPI网络筛选后,HLA-A、HLA-B、HLA-F、TYROBP被鉴定为枢纽基因(Hub基因)。选择带有临床信息的数据GSE21374构建4个枢纽基因的诊断效能及风险预测模型图,结果认为4个Hub基因均具有良好诊断价值(曲线下面积在0.794-0.819)。从推理上可以得出结论,HLA-A、HLA-B、HLA-F和TYROBP这4种基因可能在肾移植后慢性排斥反应的发生和进展中具有重要作用。结论:DEGs在研究肾移植后慢性排斥反应的发病机制中起到重要作用,可以通过富集分析和枢纽基因筛选,以及相关诊断效能和疾病风险预测的推断分析,为进一步研究肾移植后慢性排斥反应的发病机制和发现新的治疗靶点提供理论支持。

基于生物信息学分析溃疡性结肠炎的差异表达基因和miRNA

目的通过生物信息学分析方法寻找溃疡性结肠炎(UC)的差异表达基因(DEGs)及其相应的microRNA(miRNA),筛选参与UC发生发展相关的潜在致病靶点,为寻找UC诊断标志物以及新的治疗靶点提供理论依据。方法从基因表达数据库(GEO)获取数据集,通过GEO2R对数据集进行分组和筛选DEGs并取交集,再进行PPI、GO、KEGG分析和miRNA预测。结果GO分析显示其主要集中在中性粒细胞迁移、脂多糖应答、细胞外泌体、CXCR趋化因子受体结合等,KEGG分析显示其主要富集在补体途径凝血通路、IL-17信号通路、百日咳、类风湿性关节炎通路、肿瘤坏死因子信号通路等方面。通过Cytoscape筛选出MCC值前十的hub基因CXCL1、IL1B、TIMP1、CXCL8、IL6、MMP1、SERPINE1、PTGS2、SPP1、MMP2。通过NetworkAnalyst3.0在线网站进行可视化展示,可推断hsa-mir-204-5p、hsa-mir-146a-5p、hsa-mir-335-5p、hsa-mir-1-3p、hsa-mir-21-5p等5种miRNA在疾病发展中起关键作用。结论在UC发病机制相关研究中,DEGs与疾病的发生发展密切相关,可通过对基因的富集分析、以及hub基因、关键miRNA筛选为更深入研究UC的发病机制及寻找治疗新靶点提供研究思路和理论依据。

A review on passenger emergency evacuation from multimodal transportation hubs

Multimodal transportation hubs serve as transfer points with the function of collecting,transferring,and distributing passengers and play a significant role in the entire multimodal transportation network.In an emergency,the development of an effective and efficient emergency evacuation strategy to evacuate passengers from multimodal transportation hubs is very important.This paper aims to conduct a comprehensive review on passenger emergency evacuations from multimodal transportation hubs,summarize the achievements,identify gaps in existing literature,thus to lay a solid foundation for future studies.This paper first reviewed studies on evacuee behavior characteristics in emergency evacuations,including pedestrian characteristics,pedestrian behavior characteristics,and pedestrian flow characteristics.Then evacuation models,including pedestrian evacuation models and multimodal transportation evacuation models,were investigated.In addition,a retrospective analysis was carried out for evacuation simulation.It is found that while many studies have been conducted on passenger emergency evacuations from multimodal transportation hubs,most of them focus more on evacuating pedestrians from inside to outside of hub buildings;the studies on evacuation at multimodal transfer points are limited.It is also found that most existing studies tried to establish a general model to handle all types of emergency evacuations;in fact,a model would be more efficient if it is just established for a specific emergency and for a specific type of hubs.Also,existing data collection methods may collect biased data;new data collection methods need to be explored to increase the accuracy of data collection.Future study directions include the evacuation at multimodal transfer points,interactive effects between individual pedestrian behavior and pedestrian group behavior,more specific types of emergency evacuations,more accurate data collection methods,and tradeoffs between cost and benefit in emergency evacuations.

First stirling-type cryocooler reaching lambda point of ~4He(2.17K) and its prospect in Chinese HUBS satellite project

The issue of "missing baryons” is always an unsolved mystery in galaxy cosmology, and an important reason for the great uncertainty of the galaxies' formation and evolution. To find the "missing" baryons, extra high-resolution spectral observation and imaging of the soft X-ray band (<1 kev) is required. However, the existing observation methods cannot meet this requirement. Therefore, Tsinghua University leads and proposes the Chinese "Hot Universe Baryon Surveyor (HUBS)" satellite program.

Comparison and Error Analysis of Off-design and Design Models of Energy Hubs

The accuracy of the simulation model has a pro-found impact on the optimal operation of the energy hubs(EHs).However,in many articles,the constant model of the efficiency of equipment is adopted to formulate the operation system,which would probably lead to a simplification of the simulation models.But,EHs are typically operated under off-design condition due to the fluctuations in cooling,heating,electricity requirement.More-over,even though the off-design characteristics are considered,few studies have suggested comparing the differences between those two models by considering the operation cost.In order to assess the effect of the off-design characteristics of EH on the optimal operation accuracy in this paper,two test cases are performed on the fixed and variable load conditions,respectively.In addition,the individual effect of off-design characteristics of each equipment on the optimal operation cost of the EH is also investigated through four optimization runs.It is worth mentioning that the optimal operation problem of the EH considering the off-design characteristics and on-off status of the equipment is a mixed integer non-linear programming problem(MINLP).By testing the design and off-design models on the two cases,the results of simulation demonstrate that the optimal operation cost for the off-design model is larger than that for the design model.Nonetheless,in the aspect of the authenticity of the system operation strategy,the off-design model performs better than the design model.Furthermore,a larger relative error of the system operation cost between the two models can be observed when the EH is operated under a relatively lower load condition,revealing that the influence of off-design characteristic on the optimal operation of EHs is too significant to be neglected.

Identification of differentially expressed mRNAs as novel predictive biomarkers for gastric cancer diagnosis and prognosis

BACKGROUND Gastric cancer(GC)has a high mortality rate worldwide.Despite significant progress in GC diagnosis and treatment,the prognosis for affected patients still remains unfavorable.AIM To identify important candidate genes related to the development of GC and iden-tify potential pathogenic mechanisms through comprehensive bioinformatics analysis.METHODS The Gene Expression Omnibus database was used to obtain the GSE183136 dataset,which includes a total of 135 GC samples.The limma package in R software was employed to identify differentially expressed genes(DEGs).Thereafter,enrichment analyses of Gene Ontology(GO)terms and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathways were performed for the gene modules using the clusterProfile package in R software.The protein-protein interaction(PPI)networks of target genes were constructed using STRING and visualized by Cytoscape software.The common hub genes that emerged in the cohort of DEGs that was retrieved from the GEPIA database were then screened using a Venn Diagram.The expression levels of these overlapping genes in stomach adenocarcinoma samples and non-tumor samples and their association with prognosis in GC patients were also obtained from the GEPIA database and Kaplan-Meier curves.Moreover,real-time quantitative polymerase chain reaction(RT-qPCR)and western blotting were performed to determine the mRNA and protein levels of glutamic-pyruvic transaminase(GPT)in GC and normal immortalized cell lines.In addition,cell viability,cell cycle distribution,migration and invasion were evaluated by cell counting kit-8,flow cytometry and transwell assays.Furthermore,we also conducted a retrospective analysis on 70 GC patients diagnosed and surgically treated in Wenzhou Central Hospital,Dingli Clinical College of Wenzhou Medical University,The Second Affiliated Hospital of Shanghai University between January 2017 to December 2020.The tumor and adjacent normal samples were collected from the patients to determine the potential association between the expression level of GPT and the clinical as well as pathological features of GC patients.RESULTS We selected 19214 genes from the GSE183136 dataset,among which there were 250 downregulated genes and 401 upregulated genes in the tumor samples of stage III-IV in comparison to those in tumor samples of stage I-II with a P-value<0.05.In addition,GO and KEGG results revealed that the various upregulated DEGs were mainly enriched in plasma membrane and neuroactive ligand-receptor interaction,whereas the downregulated DEGs were primarily enriched in cytosol and pancreatic secretion,vascular smooth muscle contraction and biosynthesis of the different cofactors.Furthermore,PPI networks were constructed based on the various upregulated and downregulated genes,and there were a total 15 upregulated and 10 downregulated hub genes.After a comprehensive analysis,several hub genes,including runt-related transcription factor 2(RUNX2),salmonella pathogenicity island 1(SPI1),lysyl oxidase(LOX),fibrillin 1(FBN1)and GPT,displayed prognostic values.Interestingly,it was observed that GPT was downregulated in GC cells and its upregulation could suppress the malignant phenotypes of GC cells.Furthermore,the expression level of GPT was found to be associated with age,lymph node metastasis,pathological staging and distant metastasis(P<0.05).CONCLUSION RUNX2,SPI1,LOX,FBN1 and GPT were identified key hub genes in GC by bioinformatics analysis.GPT was significantly associated with the prognosis of GC,and its upregulation can effectively inhibit the proliferative,migrative and invasive capabilities of GC cells.

Comprehensive analysis of the potential pathogenesis of COVID-19 infection and liver cancer

BACKGROUND A growing number of clinical examples suggest that coronavirus disease 2019(COVID-19)appears to have an impact on the treatment of patients with liver cancer compared to the normal population,and the prevalence of COVID-19 is significantly higher in patients with liver cancer.However,this mechanism of action has not been clarified.Gene sets for COVID-19(GSE180226)and liver cancer(GSE87630)were obtained from the Gene Expression Omnibus database.After identifying the common differentially expressed genes(DEGs)of COVID-19 and liver cancer,functional enrichment analysis,protein-protein interaction network construction and scree-ning and analysis of hub genes were performed.Subsequently,the validation of the differential expression of hub genes in the disease was performed and the regulatory network of transcription factors and hub genes was constructed.RESULTS Of 518 common DEGs were obtained by screening for functional analysis.Fifteen hub genes including aurora kinase B,cyclin B2,cell division cycle 20,cell division cycle associated 8,nucleolar and spindle associated protein 1,etc.,were further identified from DEGs using the“cytoHubba”plugin.Functional enrichment analysis of hub genes showed that these hub genes are associated with P53 signalling pathway regulation,cell cycle and other functions,and they may serve as potential molecular markers for COVID-19 and liver cancer.Finally,we selected 10 of the hub genes for in vitro expression validation in liver cancer cells.CONCLUSION Our study reveals a common pathogenesis of liver cancer and COVID-19.These common pathways and key genes may provide new ideas for further mechanistic studies.

Inhibitory effect of saffron on head and neck squamous cell carcinoma via targeting of ESR1 and CCND1 by its active compound crocetin

Background:Traditional Chinese medicine is promising for managing challenging and complex disorders,including cancer,and in particular,saffron is applied in treating various cancer types.However,its potential therapeutic efficacy and active components in managing squamous cell carcinoma of the head and neck(HNSCC)remain unclear yet.Methods:Using network pharmacology approaches,active ingredients of saffron,their target genes,and HNSCC-related genes were identified.Enrichment analyses were conducted for determining molecular functions and pathways enriched by genes that overlapped between the saffron target gene set and the HNSCC gene set.Among the four known active ingredients of saffron,crocetin was found to have the strongest inhibitory impact on HNSCC,based on the findings of cell viability and migration assays.Therefore,the potential target genes of crocetin in HNSCC cells were examined using molecular docking experiments and were confirmed by qPCR.Result s:Four active ingredients of saffron and 184 of their target genes were identified.Further,a total of 34 overlapping saffron-/HNSCC-associated targets related to the four active ingredients were screened,and crocetin was chosen for further investigation because it had the strongest inhibitory effect on HNSCC cells.Molecular docking experiments indicated that ESR1 and CCND1 were the target genes of crocetin.These results were confirmed through qPCR analysis,in which crocetin was found to lower the expression of the ESR1 and CCND1 genes in AMC-HN-8 and FaDu cells.Conclusion:According to our results,crocetin is a primary active anti-cancer component of saffron that may have potential in the development of novel HNSCC-treating medications.However,more thorough molecular research is necessary for confirming these results and elucidating the anti-cancer mechanism underlying saffron.

Identification of hub genes associated with Helicobacter pylori infection and type 2 diabetes mellitus:A pilot bioinformatics study

BACKGROUND Helicobacter pylori(H.pylori)infection is related to various extragastric diseases including type 2 diabetes mellitus(T2DM).However,the possible mechanisms connecting H.pylori infection and T2DM remain unknown.AIM To explore potential molecular connections between H.pylori infection and T2DM.METHODS We extracted gene expression arrays from three online datasets(GSE60427,GSE27411 and GSE115601).Differentially expressed genes(DEGs)commonly present in patients with H.pylori infection and T2DM were identified.Hub genes were validated using human gastric biopsy samples.Correlations between hub genes and immune cell infiltration,miRNAs,and transcription factors(TFs)were further analyzed.RESULTS A total of 67 DEGs were commonly presented in patients with H.pylori infection and T2DM.Five significantly upregulated hub genes,including TLR4,ITGAM,C5AR1,FCER1G,and FCGR2A,were finally identified,all of which are closely related to immune cell infiltration.The gene-miRNA analysis detected 13 miRNAs with at least two gene cross-links.TF-gene interaction networks showed that TLR4 was coregulated by 26 TFs,the largest number of TFs among the 5 hub genes.CONCLUSION We identified five hub genes that may have molecular connections between H.pylori infection and T2DM.This study provides new insights into the pathogenesis of H.pylori-induced onset of T2DM.

To analyze the differentially expressed genes in chronic rejection after renal transplantation by bioinformatics

Objective: To use bioinformatics technology to analyse differentially expressed genes in chronic rejection after renal transplantation, we can screen out potential pathogenic targets associated with the development of this disease, providing a theoretical basis for finding new therapeutic targets. Methods: Gene microarray data were downloaded from the Gene Expression Profiling Integrated Database (GEO) and cross-calculated to identify differentially expressed genes (DEGs). Analysis of differentially expressed genes (DEGs) with gene ontology (GO) is a method used to study the differences in gene expression under different conditions as well as their functions and interrelationships, while Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis is a tool used to explore the functions and pathways of genes in specific biological processes. By calculating the distribution of immune cell infiltration, the result of immune infiltration in the rejection group can be analysed as a trait in Weighted Gene Co-Expression Network Analysis (WGCNA) for genes associated with rejection. Then, protein-protein interaction networks (PPI) were constructed using the STRING database and Cytoscape software to identify hub gene markers. Results: A total of 60 integrated DEGs were obtained from 3 datasets (GSE7392, GSE181757, GSE222889). By GO and KEGG analysis, the GEDs were mainly concentrated in the regulation of immune response, defence response, regulation of immune system processes, and stimulation response. The pathways were mainly enriched in antigen processing and presentation, EBV infection, graft-versus-host, allograft rejection, and natural killer cell-mediated cytotoxicity. After further screening using WGCNA and PPI networks, HLA-A, HLA-B, HLA-F, and TYROBP were identified as hub genes (Hub genes). The data GSE21374 with clinical information was selected to construct the diagnostic efficacy and risk prediction model plots of the four hub genes, and the results concluded that all four Hub genes had good diagnostic value (area under the curve in the range of 0.794-0.819). From the inference, it can be concluded that the four genes, HLA-A, HLA-B, HLA-F and TYROBP, may have an important role in the development and progression of chronic rejection after renal transplantation. Conclusion: DEGs play an important role in the study of the pathogenesis of chronic rejection after renal transplantation, and can provide theoretical support for further research on the pathogenesis of chronic rejection after renal transplantation and the discovery of new therapeutic targets through enrichment analysis and pivotal gene screening, as well as inferential analyses of related diagnostic efficacy and disease risk prediction.

生物信息学分析鉴定骨髓增殖性肿瘤发生发展的免疫调控因子

骨髓增殖性肿瘤是一组由造血干细胞异质性增殖引起的疾病,主要包括真红细胞增多症、原发性血小板增多症和原发性骨髓纤维化。在骨髓增殖性肿瘤患者和小鼠模型中都表现出炎症反应紊乱,而过度的炎症反应会推进骨髓增殖性肿瘤的发生和进展。深入研究骨髓增殖性肿瘤的免疫炎症机理,对其控制有着至关重要的意义。从基因表达综合数据库中寻找合适的骨髓增殖性肿瘤的基因表达谱芯片(GSE174060),其中骨髓增殖性肿瘤患者有50个,正常供者有15个。利用limma分析,筛选获得1269个差异表达基因(|log2FC|≥0.5,P.adj<0.05),包括810个上调基因和459个下调基因。随后将差异基因与免疫相关基因集取交集获得了128个免疫相关基因,包括108个上调基因和20个下调基因。基因功能注释分析发现这些基因主要富集在免疫应答、趋化、白细胞介素信号传导、中性粒细胞脱颗粒、适应性免疫等通路。蛋白互作网络分析中,首先利用Cytoscape软件构建这些基因的重要模块,主要包括2个重要模块,模块一包括11个节点(node)和62个连接(edge),模块二包括9个节点和36个连接;然后通过Cytohubba插件确定了10个免疫相关关键HUB基因(IL1B、JAK2、CXCL10、ICAM1、CX3CR1、TLR4、MMP9、CD4、CCR1、LYN)。利用GSE103237数据集对这10个基因进行基因表达分析,发现其中7个基因在骨髓增殖性肿瘤组中表达上调,验证了HUB基因的重要性。综上,研究结果有助于发现骨髓增殖性肿瘤中重要的免疫炎症因子,为肿瘤治疗提供一定的策略和依据。

基于网络药理学的二甲双胍/多奈哌齐治疗糖尿病脑病的机制

目的应用网络药理学的研究方法预测二甲双胍/多奈哌齐治疗糖尿病脑病的作用机制并初步进行动物实验。方法Drugbank和DisGeNET数据库检索二甲双胍/多奈哌齐和糖尿病脑病靶点,得到交集靶点。使用String数据库和Cytoscape软件构建蛋白互作网络(PPI),DAVID数据库对交集靶点进行功能(gene ontology,GO)和通路(Kyoto encyclopedia of genes and genomes,KEGG)富集分析,筛选出关键基因,动物实验进行初步验证。结果药物和疾病共同靶点15个、10个hub基因;GO功能注释结果显示:交集靶点主要富集于离子型谷氨酸受体信号通路、化学突触传递等。KEGG通路富集分析表明交集靶点的KEGG信号通路主要为Cocaine addiction、Nicotine addiction等。动物实验结果显示,二甲双胍/多奈哌齐能改善糖尿病学习认知能力,改善脑组织IL1B和ACHE的改变。结论可通过调节GRIN2B、GRIN2A、GRIN1、GRIN2C、GRIN2D、GRIN3A、NOS1、GRIN3B、IL1B、ACHE等靶点基因,调控Cocaine addiction,Nicotine addiction,Amphetamine addiction,cAMP signaling pathway等信号通路来实现抗糖尿病脑病作用,并初步验证。

Construction of Rail Connectivity from Idapalli to International Container Transhipment Terminal(ICTT)at Vallarpadam,Kochi

Cochin Port is an all-weather port situated within a protected natural harbour,just 11 km away from mainland shipping route.Total draft of 15m-16m is available and it is a natural choice for setting up transhipment hub.The International Container Transhipment Terminal(ICTT)at Vallarpadam was developed by DP World and M/s Cochin Port Trust(CPT).As a part of this project,the new Rail connectivity from ICTT at Vallarpadam to Idappalli station is 8.60km,including the construction of 4.62 km elevated bridge was awarded to AFCONS by M/s Rail Vikas Nigam Limited(RVNL),in 2007 with a scheduled completion by 2009.This bridge is constructed for single railway track and piling was done for the provision of a second railway track in future.The 4.62 km long bridge was successfully completed and Trial Loco run was done in March 2010.This paper includes details of sub-surface profile,engineering properties of soils,details of construction of pile foundations and Challenges faced during construction.

A Study on Integrated Construction of Luzhou Comprehensive Transportation Hub

The target of integrated construction of comprehensive transportation hub is to integrate the traffic resources,achieve butt joint of pan-regional transportation mode,and finally realize the"seamless connection"of the goods and"zero transfer"of the passenger traffic.Relying on the particularity of the geographical location and the convenience of the Yangtze River channel,Luzhou puts forth effort to build a comprehensive transport hub in Southern Sichuan and has made great efforts in traffic infrastructure construction.However,there are still some problems.Combining practice of Luzhou,using the advanced experience of foreign and domestic cities for reference,the paper pointed out that for the sake of constructing a comprehensive transportation hub,we need to build the traffic integration on the basis of the efficiency.Besides,the paper proposed the strategies for construction.

应用生物信息学筛选结直肠癌Hub基因及验证

目的通过运用生物信息学分析,筛选出与结直肠癌相关的差异表达基因(Differentially Expressed genes,DEGs),并验证其生物学功能。方法云浮市人民医院检验科从基因表达综合数据库(Gene Expression Omnibus,GEO)中下载结直肠癌芯片数据GSE 21815、GSE 31905、GSE 35279资料,应用GEO2R语言进行处理得出结直肠癌和正常结直肠组织之间的差异表达基因,并通过生物信息学工具DAVID、STRING、Cytoscape构建差异表达基因的蛋白互作网络,筛选Hub基因,应用基因本体论(Gene Ontology,GO)、基因百科全书(Kyoto Encyclopedia of Genes and Genomes,KEGG)分析筛选出的Hub基因的生物功能,并利用MiRDB工具找出可能调控Hub基因的miRNA,并于2017—2022年8月收集30例结直肠癌组织和30例正常结直肠组织样本,通过实时荧光定量PCR(Quantitative Real-time PCR,qPCR)验证。结果经生物学信息分析和蛋白质相互作用网络图分析催产素受体基因、基质金属蛋白酶11基因、间质上皮转化因子基因、基质金属蛋白酶7基因、激肽释放酶8基因、激肽释放酶10基因为结直肠癌组织发生发展的关键Hub基因。结直肠癌组织中基质金属蛋白酶11基因(4.38±1.58)、间质上皮转化因子基因(2.69±0.29)、基质金属蛋白酶7基因(0.88±0.14)、激肽释放酶8基因(11.09±3.90)、激肽释放酶10基因mRNA(7.88±2.20)的表达,显著高于正常结直肠组织组织,差异有统计学意义(t=9.605、25.339、26.376、9.541、3.726,P均<0.001)。结论结直肠癌组织中基质金属蛋白酶11基因、间质上皮转化因子基因、基质金属蛋白酶7基因、激肽释放酶8基因、激肽释放酶10基因异常表达,可能参与结直肠癌发生过程,有望为后续结直肠癌基础研究及临床诊疗提供依据。

Frequency-Resolved Connectome Hubs and Their Test-Retest Reliability in the Resting Human Brain

Functional hubs with disproportionately extensive connectivities play a crucial role in global information integration in human brain networks.However,most resting-state functional magnetic resonance imaging(R-fMRI)studies have identified functional hubs by examining spontaneous fluctuations of the blood oxygen level-dependent signal within a typical low-frequency band(e.g.,0.01–0.08 Hz or 0.01–0.1 Hz).Little is known about how the spatial distributions of functional hubs depend on frequency bands of interest.Here,we used repeatedly measured R-fMRI data from 53 healthy young adults and a degree centrality analysis to identify voxelwise frequency-resolved functional hubs and further examined their test-retest reliability across two sessions.We showed that a wide-range frequency band(0.01–0.24 Hz)accessible with a typical sampling rate(fsample=0.5 Hz)could be classified into three frequency bands with distinct patterns,namely,low-frequency(LF,0.01–0.06 Hz),middle-frequency(MF,0.06–0.16 Hz),and high-frequency(HF,0.16–0.24 Hz)bands.The functional hubs were mainly located in the medial and lateral frontal and parietal cortices in the LF band,and in the medial prefrontal cortex,superior temporal gyrus,parahippocampal gyrus,amygdala,and several cerebellar regions in the MF and HF bands.These hub regions exhibited fair to good test-retest reliability,regardless of the frequency band.The presence of the three frequency bands was well replicated using an independent R-fMRI dataset from 45 healthy young adults.Our findings demonstrate reliable frequency-resolved functional connectivity hubs in three categories,thus providing insights into the frequency-specific connectome organization in healthy and disordered brains.

Analysis of Roadbed Splicing at Hub Interchanges

This article discusses the roadbed splicing for hub interchanges.The article starts with a description of the characteristics of junction roadbed splicing.The application of splicing technology is explained using a subgrade splicing scheme of a project.Roadbed splicing involves stepwise excavation and preparative measures like surface cleaning and backfilling.This article serves to provide a valuable reference for road and bridge construction and improve the quality of China’s road and bridge projects,so as to achieve sustainable development of the road and bridge engineering industry.