Differential expression profile of long noncoding RNAs in chronic HBV infection: New insights into pathogenesis

Increasing studies have revealed that long noncoding RNAs (lncRNAs) might play vital roles in the development and progression of various diseases including viral infectious diseases. However, the expression and biological functions of lncRNAs in chronic hepatitis B virus (HBV) infection remain largely unknown. Therefore, lncRNA microarray was performed to analyze the lncRNAs' and messenger RNAs' (mRNAs) expression profiles in liver tissues from patients with chronic HBV infection. Subsequently, a comprehensive bioinformatics analysis was conducted to investigate the potential functions of the differentially expressed genes. As a result, a total of 203 differentially expressed lncRNAs and 180 mRNAs were identified in chronic HBV infection. The expressions of five differentially expressed lncRNAs were further validated using quantitative real-time polymerase chain reaction. Gene ontology, pathway analysis, and gene set enrichment analysis revealed that differentially expressed lncRNAs might be mainly be involved in cytokine-cytokine receptor interaction and varied biotransformation processes, including fatty acid metabolism, amino acid metabolism, carbon metabolism, and drug metabolism. Additionally, coexpression networks between differentially expressed lncRNAs and mRNAs were constructed to reveal the hub regulator and analyze the functional pathways. This study provided an overview of lncRNA and mRNA expression in liver tissues from patients with chronic HBV infection. These differentially expressed lncRNAs might play crucial roles in the pathogenesis and progression of chronic HBV infection, which deserve further investigation.     

柯萨奇病毒B组5型感染的人恶性胚胎横纹肌肉瘤细胞系lncRNA表达谱分析

目的探索柯萨奇病毒B组5型(CVB5)感染人恶性胚胎横纹肌肉瘤细胞系(RD)中差异长链非编码RNA(lncRNA)表达谱,为研究CVB5与宿主之间相互作用分子机制提供参考。方法 CVB5按感染复数(MOI)为1接种RD细胞24 h后提取总RNA。采用转录组测序技术获取细胞中lncRNA差异表达谱;通过聚类分析、GO分析和KEGG通路富集对差异表达转录本进行了生物信息学分析。同时,利用RNAfold软件对lncRNA进行了二级结构预测。结果与对照组相比,CVB5感染RD细胞后,共有1 754个mRNAs和508个lncRNA呈上调表达,3 106个mRNAs和760个lncRNA呈下调表达。差异表达lncRNA的共表达基因主要富集在分子结构活性、蛋白质分子结合和体液免疫反应等生物过程;lncRNA靶基因主要参与嗅觉传导途径、细胞因子受体相互作用和神经活性配体受体相互作用等通路。此外,实时荧光定量PCR验证的7个差异表达lncRNA与测序结果一致。结论 CVB5感染RD细胞后,差异显著性lncRNA主要参与了免疫相关过程,为充分理解lncRNA在CVB5感染中的调控作用奠定了基础。     

基于lncRNA-mRNA网络识别高血压相关的lncRNA及其功能

目的 高血压是最常见的慢性病,也是心脑血管病最主要的危险因素,很多长链非编码RNA(long noncoding RNA,lncRNA)在心血管系统中具有重要作用.然而在高血压中lncRNA的研究却很缺乏.本课题的目的是识别高血压疾病相关的lncRNA并研究其在高血压中的功能,进而为高血压机制研究提供更多信息.方法 通过ceRNA理论构建全局lncRNA-mRNA网络.首先从GEO数据库中下载高血压疾病表达谱进行重注释,进而识别高血压相关差异表达基因和lncRNA,将其映射到全局lncRNA-mRNA网络上获得高血压特异的lncRNA-基因网络.对该网络拓扑性质进行分析得到高血压相关的lncRNA.对于高血压相关lncRNA,将其在高血压相关网络中所连接的基因用DAVID工具进行通路富集分析,预测高血压相关lncRNA的功能.结果 构建了高血压特异的lncRNA-基因网络(58个lncRNA、431个基因及4737条边).通过对其拓扑性质分析识别了在高血压中发挥非常重要作用的lncRNA:MALAT1,研究发现MALAT1可能通过TNF信号通路、MAPK信号通路来发挥其调控功能.结论 lncRNA MALAT1在高血压疾病中扮演重要作用,其可能通过TNF信号通路、MAPK信号通路来发挥其调控功能.     

Long noncoding RNA-mediated anti-apoptotic activity in murine erythroid terminal differentiation

Long noncoding RNAs (lncRNAs) are differentially expressed under both normal and pathological conditions, implying that they may play important biological functions. Here we examined the expression of lncRNAs during erythropoiesis and identified an erythroid-specific lncRNA with anti-apoptotic activity. Inhibition of this lncRNA blocks erythroid differentiation and promotes apoptosis. Conversely, ectopic expression of this lncRNA can inhibit apoptosis in mouse erythroid cells. This lncRNA represses expression of Pycard, a proapoptotic gene, explaining in part the inhibition of programmed cell death. These findings reveal a novel layer of regulation of cell differentiation and apoptosis by a lncRNA.     

Long non-coding RNA NR_045623 and NR_028291 involved in benzene hematotoxicity in occupationally benzene-exposed workers

Benzene is an established human hematotoxicant and leukemogen. New insights into the pathogenesis of benzene hematotoxicity are urgently needed. Long non-coding RNA (lncRNA) widely participate in various physiological and pathological processes. It has been shown that lncRNA plays an important role in hematologic malignancy tumorigenesis. However, the expression and biological function of lncRNA during benzene hematotoxicity progress remain largely unknown. An integrated analysis of differentially expressed lncRNA and mRNA was performed to identify genes which were likely to be critical for benzene hematotoxicity through Microarray analysis. Dynamic gene network analysis of the differentially expressed lncRNA and mRNA was constructed and two main lncRNA (NR_045623 and NR_028291) were discovered and two key lncRNA subnets were involved in immune responses, hematopoiesis, B cell receptor signaling pathway and chronic myeloid leukemia. These findings suggested that NR_045623 and NR_028291 might be the key genes associated with benzene hematotoxicity.     

Altered long non-coding RNA expression profile in patients with IgA-negative mesangial proliferative glomerulonephritis

Mesangial proliferative glomerulonephritis (MsPGN) is one of the most common immune-mediated renal diseases. The mesangium is expanded and hypercellular, immuno-globulin deposits can be found in the mesangium, but the mechanism underlying its cause remains largely unclear. There is a large amount of evidence suggesting that long ﹥200 nucleotide) non-coding RNAs (lncRNA) have important regulatory functions in the epigenetic control of gene expression. Multiple lines of evidence increasingly link mutations and dysregulations of lncRNAs to a diverse number of human diseases. Through microarray expression analysis, tests show that thousands of lncRNAs and protein-coding genes are significantly differentially expressed in IgA-negative MsPGN. Some lncRNAs and their neighboring protein-coding genes are closely related and are cooperatively expressed. This may be part of a potential regulatory mechanism. The malfunction of regulation in the network of lncRNAs may be a possible mechanism for the development of IgA-negative MsPGN. Our observations suggest that some lncRNAs are closely related to IgA-negative MsPGN and may be playing an important role in this disease.     

阿尔茨海默病小鼠脑组织长链非编码RNA与信使RNA表达谱及调控网络的分析

目的 分析阿尔茨海默病（AD）小鼠脑组织长链非编码RNA（LncRNA）和信使RNA（mRNA）表达谱,构建竞争内源性RNA（ceRNA）调控网络,探讨差异表达LncRNA在AD发病机制中的潜在作用。方法 选取3只10月龄雄性APP/PS1转基因小鼠作为AD组,3只年龄及体质量相匹配的普通C57小鼠作为对照组。使用基因芯片技术检测2组小鼠脑组织LncRNA和mRNA的表达,筛选出差异表达的LncRNA和mRNA。对部分差异表达的LncRNA进行实时定量聚合酶链反应（qRT-PCR）。对差异表达的mRNA进行基因本体论（GO）和京都基因、基因组百科全书（KEGG）通路分析。随机挑选6个差异表达LncRNA构建ceRNA网络,进行AD的靶基因功能预测分析。结果 与对照组相比,AD组小鼠脑组织差异表达1.5倍以上的LncRNA有933个,其中上调222个,下调711个;差异表达1.5倍以上的mRNA有529个,其中上调189个,下调340个。qRT-PCR检测结果显示,AD组与对照组比较,7个差异表达的LncRNA上调或下调趋势与基因芯片结果一致,差异均有统计学意义（P值均<0.05）。GO和KEGG通路分析结果显示,差异表达基因主要参与氨基酸代谢、炎症反应和免疫反应。ceRNA调控网络靶基因的功能富集分析显示,LncRNA在胰岛素抵抗以及糖尿病并发症中的AGE-RAGE信号通路中显著富集。结论 AD小鼠脑组织LncRNA表达谱发生显著变化,由LncRNA Dgkb、Svip等构建的ceRNA调控网络有助于增进对AD发病分子机制的研究,差异表达的LncRNA或通路有可能成为潜在的治疗靶点。     

乳腺癌个体中差异表达lncRNA的研究

目的 识别乳腺癌个体中差异表达长链非编码RNA (long non-coding RNA,lncRNA).方法 应用LncRIndiv方法识别乳腺癌个体中差异表达lncRNA,并使用超几何检验进行亚型分析和Log-rank检验进行预后分析.结果 lncRNA差异判断的平均准确率高于96％.分别识别出1 81个、32个、15个和72个basal-like、HER2-enriched、luminal A、luminal B 亚型特异的lncRNAs(False discovery rate＜0.05,超几何检验).LncRNA ZNF582-ASl差异下调的乳腺癌患者生存差(TCGA,P=0.038;GSE42568,P=0.026,Log-rank检验),是潜在的预后标志.结论 LncRIndiv方法识别个体中差异表达lncRNA准确性高.乳腺癌个体差异表达lncRNA可用来识别亚型特异的lncRNA和预后标志.     

胰岛淀粉样多肽对阿尔茨海默病小鼠脑组织中LncRNA和mRNA表达谱的影响

目的:探讨胰岛淀粉样多肽（IAPP）对阿尔茨海默病（AD）小鼠脑组织中长链非编码RNA（LncRNA）和信使RNA（mRNA）表达谱的影响。方法:选取7月龄雄性APP/PS1转基因AD模型小鼠10只,体质量20～30 g。将AD模型小鼠按数字表法随机分为IAPP干预组和对照组,每组5只。IAPP干预组小鼠腹腔内注射0....     

去分化脂肪肉瘤潜在核心基因的生物信息学预测及分析

目的 探讨去分化脂肪肉瘤的潜在核心基因在其恶性生物学行为中的作用.方法 获取基因表达数据库(gene expres-sion omnibus,GEO)数据库中GSE21122和GSE52390的芯片数据,通过GEO2R筛选差异表达基因,对差异表达基因进行GO功能、KEGG通路富集分析和蛋白互作分析,并用Cytoscap...     

Integrated analysis of dysregulated long non-coding RNAs/microRNAs/mRNAs in metastasis of lung adenocarcinoma

Background

Lung adenocarcinoma (LUAD), largely remains a primary cause of cancer-related death worldwide. The molecular mechanisms in LUAD metastasis have not been completely uncovered.

Methods

In this study, we identified differentially expressed genes (DEGs), miRNAs (DEMs) and lncRNAs (DELs) underlying metastasis of LUAD from The Cancer Genome Atlas database. Intersection mRNAs were used to perform gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and co-expression network analysis. In addition, survival analyses of intersection mRNAs were conducted. Finally, intersection mRNAs, miRNAs and lncRNAs were subjected to construct miRNA-mRNA-lncRNA network.

Results

A total of 1015 DEGs, 54 DEMs and 22 DELs were identified in LUAD metastasis and non-metastasis samples. GO and KEGG pathway analysis had proven that the functions of intersection mRNAs were closely related with many important processes in cancer pathogenesis. Among the co-expression interactions network, 22 genes in the co-expression network were over the degree 20. These genes imply that they have connections with many other gene nodes. In addition, 14 target genes (ARHGAP11A, ASPM, HELLS, PRC1, TMPO, ARHGAP30, CD52, IL16, IRF8, P2RY13, PRKCB, PTPRC, SASH3 and TRAF3IP3) were found to be associated with survival in patients with LUAD significantly (log-rank P?<?0.05). Two lncRNAs (LOC96610 and ADAM6) acting as ceRNAs were identified based on the miRNA-mRNA-lncRNA network.

Conclusions

Taken together, the results may provide a novel perspective to develop a multiple gene diagnostic tool for LUAD prognosis, which might also provide potential biomarkers or therapeutic targets for LUAD.

     

长链非编码RNA在结肠癌组织与癌旁组织中的表达研究

目的:筛选出结肠癌差异表达的长链非编码RNA(lncRNA),并分析其在结肠癌组织和相应癌旁组织中的差异表达情况。方法:从lncRNAtor数据库下载结肠癌组织中差异表达的lncRNA数据(Colon adenocarcinoma:Person neoplasm cancer status),包含36例结肠癌组织及29例正常结肠组织,以P0.01且差异表达倍数大于2或小于0.5的条件筛选出lncRNA,并用real-time PCR进一步验证其在60对结肠癌组织及癌旁组织中的表达情况。结果:分析结肠癌lncRNA数据发现,与正常组织相比,结肠癌组织共有50个lncRNA差异表达,其中28个高表达,22个低表达(P0.01)。筛选的4个lncRNA在60对结肠癌及癌旁组织标本中的验证结果为:HNF1AAS1和ZDHHC8P1的表达均上调(P0.01),SUZ12P表达下调(P0.05)。临床Ⅰ-Ⅱ期结肠癌组织中HNF1AAS1的表达水平明显低于Ⅲ-Ⅳ期(P0.05),ROC曲线分析显示,HNF1A-AS1、ZDHHC8P1和SUZ12P诊断结肠癌的ROC曲线下面积(AUC)分别为0.729(敏感性为78%,特异性为67%)、0.617(敏感性为68%,特异性为55%)和0.689(敏感性为65%,特异性为55%)。结论:长链非编码HNF1A-AS1和ZDHHC8P1在结直肠癌组织中表达上调,SUZ12P在结直肠癌组织中表达下调,其表达水平可能与结肠癌的发生存在关联。     

肾脏纤维化大鼠模型尿液中差异表达基因筛选及生物信息学分析

目的研究大鼠肾脏纤维化(RF)模型尿液中差异表达的基因,并对其进行生物信息学分析。方法将大鼠分为对照组和纤维化模型组,单侧输尿管结扎术建立大鼠肾脏纤维化模型,收集尿液。提取总RNA,构建测序文库并进行转录组测序。对差异表达的mRNA进行了GO分析和KEGG分析,并对miRNA的前体和lncRNA的家族进行预测和分类。结果肾脏纤维化模型组的尿液和对照组相比,得到813条表达上调转录本数据以及213条表达下调的转录本数据。结论利用转录组高通量测序结合相关生物信息学分析,可为肾脏纤维化诊断靶点提供新的可能。     

基于癌症基因组图谱筛查卵巢浆液性囊腺癌相关基因

目的:利用全基因组表达谱芯片筛查与卵巢浆液性囊腺癌发生相关的基因,对在卵巢浆液性囊腺癌发生过程中可能参与的基因间的信号转导通路进行分析。方法:选取癌症基因组图谱(TCGA)数据库中卵巢浆液性囊腺癌的Affymetrix Gene Chip Human Exon 1.0 ST Array数据共16张,分别为卵巢浆液性囊腺癌组8张和正常组8张,筛选出差异表达基因,并进行基因本体(gene ontology,GO)分析和信号通路分析,构建卵巢浆液性囊腺癌相关基因间的信号转导通路,分析网络中具有重要作用的基因。结果:共筛选出1 144个在卵巢癌中差异表达的基因,其中表达上调的基因有747个,表达下调的基因有397个。GO分析得到上调差异基因的显著性功能分析结果362项,下调差异基因的显著性功能分析结果 160项(P0.05)。其中包括与肿瘤发生相关的基因功能有细胞周期、DNA复制、细胞增殖、细胞凋亡、细胞黏附等。信号通路分析得到45个显著上调信号通路和14个显著下调信号通路(P0.05)。其中参与肿瘤发生相关的信号通路主要有细胞周期、P53信号通路、DNA复制、肿瘤中的信号通路、PI3K-Akt信号通路、ECM-receptor信号通路、细胞黏附因子、细胞凋亡等。挑选显著性基因功能和信号通路分析的交集基因229个,构建显著性GO与信号通路基因间信号转导网络。分析发现CDK1、PLK1、MCM3和PGK1这4个基因在卵巢癌的基因调控网络中具有重要作用。结论:卵巢浆液性囊腺癌中有大量差异表达基因,差异表达的基因在多个与肿瘤发生密切相关的信号通路中发挥重要的调控作用。     

High S100A7 expression is associated with early muscle invasion and poor survival in bladder carcinoma

Muscle-invasive bladder carcinoma (MIBC) accounts for 25% of newly diagnosed bladder carcinomas (BCs) and presents a high risk of progression and metastasis. This study aimed to identify reliable biomarkers associated with muscle invasion and prognosis to identify potential therapeutic targets for MIBC. Four gene datasets were downloaded from the Gene Expression Omnibus, and the integrated differentially expressed genes (DEGs) were then subjected to gene ontology (GO) terms and pathway enrichment analyses. Correlation analysis between the expression of the top-ranking DEGs and pathological T stages was performed to identify the genes associated with early muscle invasion. The corresponding prognostic values were evaluated, and co-expressed genes mined in the cBioPortal database were loaded into ClueGo in Cytoscape for pathway enrichment analysis. Using data mining from the STRING and TCGA databases, protein–protein interaction and competitive endogenous RNA networks were constructed. In total, 645 integrated DEGs were identified and these were mainly enriched in 26 pathways, including cell cycle, bladder cancer, DNA replication, and PPAR signaling pathway. S100A7 expression was significantly increased from the T2 stage and showed significantly worse overall survival and disease-specific survival in patients with BC. In total, 144 genes co-expressed with S100A7 in BC were significantly enriched in the IL-17 pathway. S100A7 was predicted to directly interact with LYZ, which potentially shows competitive binding with hsa-mir-140 to affect the expression of six lncRNAs in MIBC. In conclusion, high S100A7 expression was predicted to be associated with early muscle invasion and poor survival in patients with BC.