背景与目的 肺癌是全球最常见的恶性肿瘤,大多数患者初次诊断时已发生转移,因此寻找肺癌新的诊断标志物并探索其在肺癌发生中的作用具有重要价值。基于生物信息数据探讨分析肺癌中GINS1基因与肺癌预后的相关性具有重要意义。方法 检索On...背景与目的 肺癌是全球最常见的恶性肿瘤,大多数患者初次诊断时已发生转移,因此寻找肺癌新的诊断标志物并探索其在肺癌发生中的作用具有重要价值。基于生物信息数据探讨分析肺癌中GINS1基因与肺癌预后的相关性具有重要意义。方法 检索Oncomine、EGPIA、TCGA、Human protein atlas等基因数据库,分析GINS1基因在肺癌中的表达差异。应用蛋白质免疫印记法检测肺癌及癌旁组织中GINS1蛋白的表达水平,应用Kaplan-Meier进行患者生存分析,并利用String-DB数据库分析GINS1蛋白相互作用网络。结果 对Oncomine、GEPIA和The Human Protein Atlas数据库中肺癌与癌旁组织蛋白表达数据进行差异性分析,发现GINS1蛋白在肺癌组织中显著高表达,特别以肺腺癌、肺鳞癌中表达明显增加;通过生存分析发现高表达GINS1肺腺癌患者生存期明显低于低表达者,高表达患者预后更差;利用String-DB数据库发现与GINS1蛋白关联最为密切的为GINS蛋白家族(GINS2、GINS3、GINS4),其次为CDC45、MCM蛋白家族(MCM2、MCM3、MCM4、MCM5、MCM6、MCM7),富集分析发现互作蛋白主要参与DNA复制和细胞周期。结论GINS1基因在肺癌组织中显著高表达,与患者预后相关,其有可能成为肺癌诊断及药物治疗的新靶点。展开更多
目的探讨肝癌中ENAH(Enabled homolog)基因表达及与肿瘤细胞运动的关系。方法通过生物信息学技术,检索Oncomine、TCGA、Human Protein Atlas等肿瘤基因数据库,分析ENAH在肝癌中的差异表达,分析ENAH与肝纤维化的关系,免疫组化观察ENAH在...目的探讨肝癌中ENAH(Enabled homolog)基因表达及与肿瘤细胞运动的关系。方法通过生物信息学技术,检索Oncomine、TCGA、Human Protein Atlas等肿瘤基因数据库,分析ENAH在肝癌中的差异表达,分析ENAH与肝纤维化的关系,免疫组化观察ENAH在肝癌组织中的表达差异,String-DB数据库分析ENAH蛋白相互作用网络。Targetscan预测ENAH的调控miRNA,并通过Transwell、划痕实验、Western blotting实验分析miR-497-5p及ENAH对肝癌细胞运动的影响。结果Oncomine数据库进行肝癌与正常肝的ENAH差异分析,发现ENAH蛋白在肝癌中呈显著高表达;在Human Protein Atlas数据库进行肝癌组织的免疫组化观察,同样证实肝癌组织中ENAH蛋白呈明显深染;Oncomine数据库进一步分析发现,ENAH的过表达与肝纤维化呈明显相关性,纤维化肝组织中ENAH表达明显升高。String-DB数据库分析与ENAH共表达的蛋白,其中VASP、ABL1、ROBO1、VCL、CTNND1/CTNNA1/CTNNB1、ROCK1、CDC42、CDH1关联最为紧密。在肝癌细胞HepG2中,miR-497-5p能够下调ENAH的表达,并抑制HepG2细胞的EMT、运动。结论ENAH在肝癌中呈现高表达,与肝纤维化相关,且参与调控肝癌细胞的运动,其有可能成为肝癌诊断及治疗的新靶点。展开更多
Background Pediatric bipolar disorder(PBD)has been proven to be related to abnormal brain structural connectivity,but how the abnormalities in PBD correlate with gene expression is debated.Objective This study aims at...Background Pediatric bipolar disorder(PBD)has been proven to be related to abnormal brain structural connectivity,but how the abnormalities in PBD correlate with gene expression is debated.Objective This study aims at identification of cell-type-specific gene modules based on cortical structural differences in PBD.Methods Morphometric similarity networks(MSN)were computed as a marker of interareal cortical connectivity based on MRI data from 102 participants(59 patients and 43 controls).Partial least squares(PLS)regression was used to calculate MSN differences related to transcriptomic data in AHBA.The biological processes and cortical cell types associated with this gene expression profile were determined by gene enrichment tools.Results MSN analysis results demonstrated differences of cortical structure between individuals diagnosed with PBD and healthy control participants.MSN differences were spatially correlated with the PBD-related weighted genes.The weighted genes were enriched for“trans-synaptic signaling”and“regulation of ion transport”,and showed significant specific expression in excitatory and inhibitory neurons.Conclusions This study identified the genes that contributed to structural network aberrations in PBD.It was found that transcriptional changes of excitatory and inhibitory neurons might be associated with abnormal brain structural connectivity in PBD.展开更多
文摘背景与目的 肺癌是全球最常见的恶性肿瘤,大多数患者初次诊断时已发生转移,因此寻找肺癌新的诊断标志物并探索其在肺癌发生中的作用具有重要价值。基于生物信息数据探讨分析肺癌中GINS1基因与肺癌预后的相关性具有重要意义。方法 检索Oncomine、EGPIA、TCGA、Human protein atlas等基因数据库,分析GINS1基因在肺癌中的表达差异。应用蛋白质免疫印记法检测肺癌及癌旁组织中GINS1蛋白的表达水平,应用Kaplan-Meier进行患者生存分析,并利用String-DB数据库分析GINS1蛋白相互作用网络。结果 对Oncomine、GEPIA和The Human Protein Atlas数据库中肺癌与癌旁组织蛋白表达数据进行差异性分析,发现GINS1蛋白在肺癌组织中显著高表达,特别以肺腺癌、肺鳞癌中表达明显增加;通过生存分析发现高表达GINS1肺腺癌患者生存期明显低于低表达者,高表达患者预后更差;利用String-DB数据库发现与GINS1蛋白关联最为密切的为GINS蛋白家族(GINS2、GINS3、GINS4),其次为CDC45、MCM蛋白家族(MCM2、MCM3、MCM4、MCM5、MCM6、MCM7),富集分析发现互作蛋白主要参与DNA复制和细胞周期。结论GINS1基因在肺癌组织中显著高表达,与患者预后相关,其有可能成为肺癌诊断及药物治疗的新靶点。
文摘目的探讨肝癌中ENAH(Enabled homolog)基因表达及与肿瘤细胞运动的关系。方法通过生物信息学技术,检索Oncomine、TCGA、Human Protein Atlas等肿瘤基因数据库,分析ENAH在肝癌中的差异表达,分析ENAH与肝纤维化的关系,免疫组化观察ENAH在肝癌组织中的表达差异,String-DB数据库分析ENAH蛋白相互作用网络。Targetscan预测ENAH的调控miRNA,并通过Transwell、划痕实验、Western blotting实验分析miR-497-5p及ENAH对肝癌细胞运动的影响。结果Oncomine数据库进行肝癌与正常肝的ENAH差异分析,发现ENAH蛋白在肝癌中呈显著高表达;在Human Protein Atlas数据库进行肝癌组织的免疫组化观察,同样证实肝癌组织中ENAH蛋白呈明显深染;Oncomine数据库进一步分析发现,ENAH的过表达与肝纤维化呈明显相关性,纤维化肝组织中ENAH表达明显升高。String-DB数据库分析与ENAH共表达的蛋白,其中VASP、ABL1、ROBO1、VCL、CTNND1/CTNNA1/CTNNB1、ROCK1、CDC42、CDH1关联最为紧密。在肝癌细胞HepG2中,miR-497-5p能够下调ENAH的表达,并抑制HepG2细胞的EMT、运动。结论ENAH在肝癌中呈现高表达,与肝纤维化相关,且参与调控肝癌细胞的运动,其有可能成为肝癌诊断及治疗的新靶点。
基金This study was supported by National Natural Science Foundation of China(81871344,81971289)Natural Science Foundation of Jiangsu Province(BK20191369)+1 种基金Qing Lan Project of the Higher Educations of Jiangsu ProvinceJiangsu Provincial Key Research and Development Program(BE2019609).
文摘Background Pediatric bipolar disorder(PBD)has been proven to be related to abnormal brain structural connectivity,but how the abnormalities in PBD correlate with gene expression is debated.Objective This study aims at identification of cell-type-specific gene modules based on cortical structural differences in PBD.Methods Morphometric similarity networks(MSN)were computed as a marker of interareal cortical connectivity based on MRI data from 102 participants(59 patients and 43 controls).Partial least squares(PLS)regression was used to calculate MSN differences related to transcriptomic data in AHBA.The biological processes and cortical cell types associated with this gene expression profile were determined by gene enrichment tools.Results MSN analysis results demonstrated differences of cortical structure between individuals diagnosed with PBD and healthy control participants.MSN differences were spatially correlated with the PBD-related weighted genes.The weighted genes were enriched for“trans-synaptic signaling”and“regulation of ion transport”,and showed significant specific expression in excitatory and inhibitory neurons.Conclusions This study identified the genes that contributed to structural network aberrations in PBD.It was found that transcriptional changes of excitatory and inhibitory neurons might be associated with abnormal brain structural connectivity in PBD.
