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Protein microarray analysis of cytokine expression changes in distal stumps after sciatic nerve transection 预览
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作者 Xiao-Qing Cheng Xue-Zhen Liang +9 位作者 Shuai Wei Xiao Ding Gong-Hai Han Ping Liu Xun Sun Qi Quan He Tang Qing Zhao Ai-Jia Shang Jiang Peng 《中国神经再生研究:英文版》 SCIE CAS CSCD 2020年第3期503-511,共9页
A large number of chemokines,cytokines,other trophic factors and the extracellular matrix molecules form a favorable microenvironment for peripheral nerve regeneration.This microenvironment is one of the major factors... A large number of chemokines,cytokines,other trophic factors and the extracellular matrix molecules form a favorable microenvironment for peripheral nerve regeneration.This microenvironment is one of the major factors for regenerative success.Therefore,it is important to investigate the key molecules and regulators affecting nerve regeneration after peripheral nerve injury.However,the identities of specific cytokines at various time points after sciatic nerve injury have not been determined.The study was performed by transecting the sciatic nerve to establish a model of peripheral nerve injury and to analyze,by protein microarray,the expression of different cytokines in the distal nerve after injury.Results showed a large number of cytokines were up-regulated at different time points post injury and several cytokines,e.g.,ciliary neurotrophic factor,were downregulated.The construction of a protein-protein interaction network was used to screen how the proteins interacted with differentially expressed cytokines.Kyoto Encyclopedia of Genes and Genomes pathway and Gene ontology analyses indicated that the differentially expressed cytokines were significantly associated with chemokine signaling pathways,Janus kinase/signal transducers and activators of transcription,phosphoinositide 3-kinase/protein kinase B,and notch signaling pathway.The cytokines involved in inflammation,immune response and cell chemotaxis were up-regulated initially and the cytokines involved in neuronal apoptotic processes,cell-cell adhesion,and cell proliferation were up-regulated at 28 days after injury.Western blot analysis showed that the expression and changes of hepatocyte growth factor,glial cell line-derived neurotrophic factor and ciliary neurotrophic factor were consistent with the results of protein microarray analysis.The results provide a comprehensive understanding of changes in cytokine expression and changes in these cytokines and classical signaling pathways and biological functions during Wallerian degeneration,as well as a bas 展开更多
关键词 cytokines DISTAL stump gene ontology KYOTO ENCYCLOPEDIA of Genes and Genomes pathway peripheral nerve injury protein microarray PROTEIN-PROTEIN interaction network Wallerian degeneration
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Microarray-based screening of common pathophysiological processes in dilated cardiomyopathy and ischemic cardiomyopathy
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作者 何永利 卢建军 +3 位作者 冯喆 王锐 黄澄 周颖玲 《岭南心血管病杂志:英文版》 CAS 2019年第3期190-196,200共8页
Background Heart failure is the end stage of various heart diseases,which has different underlying mechanisms but somehow has similar features among different etiologies. Dilated cardiomyopathy(DCM) and ischemic cardi... Background Heart failure is the end stage of various heart diseases,which has different underlying mechanisms but somehow has similar features among different etiologies. Dilated cardiomyopathy(DCM) and ischemic cardiomyopathy(ICM)are two major subtypes. Unlike widely explored mechanisms on these heart diseases,their shared gene expression alterations in heart failure have been rarely investigated. Methods We first obtained genetic profiles of DCM and ICM as well as their non-failing(NF)control from two datasets in GEO database,GSE3585 and GSE1869. Comparing to NF,the differentially expressed genes(DEGs)of DCM and ICM were screened out and used for Gene Ontology(GO)analysis by DAVID. The two sets of DEGs were compared and the overlap was selected out. Protein-protein interaction(PPI)network of the encoded proteins of shared DEGs was constructed and visualized via STRING and Cytoscape respectively. Gene annotation interactions were analyzed using Bi NGO. The closely linked genes were sorted out as hub genes and accounted for common processes of DCM and ICM. Results There were 99 DEGs in DCM vs. NF,while 1317 DEGs in ICM vs. NF.29 DEGs were shared in two comparisons,which were mainly enriched in regulation of protein catabolic process,Golgi to endosome transport,protein targeting to Golgi,inactivation of MAPK activity,Golgi to plasma membrane protein transport,cytosol,and protein binding. There were 13 genes linked in the PPI network and thus they were selected as hub genes. Functions of these hub genes were mainly focused on energetic metabolism disorder,apoptosis and cardiac fibrosis. Conclusion Energetic metabolism disorder,apoptosis and cardiac fibrosis are likely the shared pathophysiological processes for dilated cardiomyopathy and ischemic cardiomyopathy. 展开更多
关键词 MICROARRAY BIOINFORMATICS DILATED CARDIOMYOPATHY ISCHEMIC CARDIOMYOPATHY
A new distributed feature selection technique for classifying gene expression data
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作者 Sarah M.Ayyad Ahmed I.Saleh Labib M.Labib 《生物数学学报:英文版》 2019年第4期79-109,共31页
Classification of gene expression data is a pivotal research area that plays a substantial role in diagnosis and prediction of diseases. Generally, feature selection is one of the extensively used techniques in data m... Classification of gene expression data is a pivotal research area that plays a substantial role in diagnosis and prediction of diseases. Generally, feature selection is one of the extensively used techniques in data mining approaches, especially in classification. Gene expression data are usually composed of dozens of samples characterized by thousands of genes. This increases the dimensionality coupled with the existence of irrelevant and redundant features. Accordingly, the selection of informative genes (features) becomes difficult, which badly affects the gene classification accuracy. In this paper, we consider the feature selection for classifying gene expression microarray datasets. The goal is to detect the most possibly cancer-related genes in a distributed manner, which helps in effectively classifying the samples. Initially, the available huge amount of considered features are subdivided and distributed among several processors. Then, a new filter selection method based on a fuzzy inference system is applied to each subset of the dataset. Finally, all the resulted features are ranked, then a wrapper-based selection method is applied. Experimental results showed that our proposed feature selection technique performs better than other techniques since it produces lower time latency and improves classification performance. 展开更多
关键词 Feature selection gene expression dimensionality reduction MICROARRAY data CLASSIFICATION DISTRIBUTED learning MATHEMATICS Subject CLASSIFICATION
New insights into diet breadth of polyphagous and oligophagous aphids on two Arabidopsis ecotypes
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作者 Christopher Wattier Amelie Turbant +3 位作者 Lisa Sargos-Vallade Jerome Pelloux Christine Rusterucci Anas Cherqui 《昆虫科学:英文版》 SCIE CAS CSCD 2019年第4期753-769,共17页
We investigated whether plant ecotype might affect aphid performance and behavioi. The probing behaviors of the polyphagous aphid Myzus persicae and the oligophagous aphid Brevicoryne brassicae on two ecotypes of Arab... We investigated whether plant ecotype might affect aphid performance and behavioi. The probing behaviors of the polyphagous aphid Myzus persicae and the oligophagous aphid Brevicoryne brassicae on two ecotypes of Arabidopsis thaliana, WS and Col-0 were recorded using the direct current electrical penetration graph method (DC-EPG). Myzus persicae displayed a significant preference for the WS ecotype but was not greatly disturbed on Col-0, while B. brassicae discriminated between the two A. thaliana ecotypes, feeding less on WS than on Col-0. A Principal Component Analysis of aphid probing behavior data recorded on Col-0 and WS ecotypes showed that the one of M. persicae was positively correlated with the phloem ingestion phases while the one of B. brassicae was more related to nonfeeding phase. The survival of the aphid species was followed during early larval stages on the two ecotypes and a significantly higher mortality was observed of B. brassicae neonates compared to M. persicae. Both reared on WS. Moreover, transcriptomic analysis of non infested plant leaves from both ecotypes was monitored and underlined constitutive differences between Col-0 and WS gene expression that might explain the different aphid behaviors. Among a unigene set comprising 39 042 sequences for A. thaliana, 6% were differently expressed affecting, for example, the secondary metabolites and cell wall pathways: two third upregulated in WS and one third upregulated in Col-0. Thus, the "ecotype” variable should be taken into account when setting up a plant-insect experimental research. 展开更多
关键词 ARABIDOPSIS THALIANA Brevicoryne brassicae ECOTYPES EPG MICROARRAY MYZUS persicae
基于PCA与核PCA的微阵列数据分析 预览
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作者 黄紫成 林增坦 《长春师范大学学报》 2019年第6期48-51,共4页
微阵列是近年来发展的生物技术,其产生数据典型特征是维数高而样本少,且数据常常存在缺少或噪声问题。在分析数据时,采用计算t值预处理方法解决此问题,同时针对数据高维的特点,采用PCA与核PCA对数据进行特征处理,然后应用支持向量机(SVM... 微阵列是近年来发展的生物技术,其产生数据典型特征是维数高而样本少,且数据常常存在缺少或噪声问题。在分析数据时,采用计算t值预处理方法解决此问题,同时针对数据高维的特点,采用PCA与核PCA对数据进行特征处理,然后应用支持向量机(SVM)进行训练,计算分类识别率。实验结果表明,经过降维处理之后能得到更高的分类识别率,提高了微阵列数据分析的准确性。 展开更多
关键词 微阵列 PCA 核PCA 支持向量机
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基于基因芯片的婴幼儿血管瘤生物信息学分析
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作者 杨开颖 邱桐 +5 位作者 代诗懿 彭素华 周江元 张学鹏 陈思源 吉毅 《中华小儿外科杂志》 CSCD 北大核心 2019年第10期881-885,共5页
目的利用基因芯片技术及生物信息学方法对增殖期与消退期婴幼儿血管瘤的基因表达谱进行研究,以进一步阐明婴幼儿血管瘤的发病机制。方法收集从2018年6月至2018年12月在四川大学华西医院小儿外科行手术切除治疗的8例婴幼儿血管瘤患儿的... 目的利用基因芯片技术及生物信息学方法对增殖期与消退期婴幼儿血管瘤的基因表达谱进行研究,以进一步阐明婴幼儿血管瘤的发病机制。方法收集从2018年6月至2018年12月在四川大学华西医院小儿外科行手术切除治疗的8例婴幼儿血管瘤患儿的手术标本,采用Trizol一步法提取增殖期与消退期血管瘤组织中的总RNA,利用基因芯片技术经GCBI平台分析得到差异基因,在利用生物信息学技术对差异基因进行GO功能和KEGG通路分析,应用STRING数据库分析差异表达基因的蛋白互作关系,并通过Cytoscape对蛋白互作网络进行可视化构建,最后结合实时荧光定量聚合酶链反应(quantitative real-time fluorescence polymerase chain reaction,qPCR)技术对芯片结果进行验证。结果增殖期血管瘤与消退期血管瘤相比存在372个差异基因,其中274个上调基因,98个下调基因。GO功能分析发现,差异基因主要参与"血管生成、细胞黏附、轴突导向、细胞对缺氧应激反应和细胞迁移正向调控"等生物过程。经KEGG通路分析发现,差异基因主要富集在"细胞黏附、细胞外基质受体相互作用、肌动蛋白细胞骨架调控、白细胞跨内皮迁移、PI3K-Akt信号通路"等信号通路。蛋白互作网络筛选出25个核心基因,qPCR验证部分差异基因的表达与基因芯片结果一致。结论利用生物信息学方法筛选出增殖期与消退期血管瘤的差异基因,为进一步研究婴幼儿血管瘤的发病机制提供新方向。 展开更多
关键词 血管瘤 婴幼儿 基因芯片 生物信息学分析
PLAG1转基因小鼠中差异表达长链非编码RNA的筛选分析 被引量:1
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作者 徐万林 刘丽敏 +2 位作者 卢浩 杨雯君 沈淑坤 《中国口腔颌面外科杂志》 CAS 2019年第1期20-25,共6页
目的:应用基因芯片技术,筛选PLAG1转基因小鼠下颌下区多形性腺瘤中差异表达的长链非编码RNA(LncRNA)。方法:取3对PLAG1转基因小鼠下颌下区多形性腺瘤组织、对侧无瘤腺体组织、空白对照小鼠腺体组织,抽提标本总RNA并反转录合成cDNA探针,... 目的:应用基因芯片技术,筛选PLAG1转基因小鼠下颌下区多形性腺瘤中差异表达的长链非编码RNA(LncRNA)。方法:取3对PLAG1转基因小鼠下颌下区多形性腺瘤组织、对侧无瘤腺体组织、空白对照小鼠腺体组织,抽提标本总RNA并反转录合成cDNA探针,与芯片杂交后获得荧光信号,分析在肿瘤组织中差异表达的长链非编码RNA。随机挑选其中5个LncRNA,利用实时荧光定量PCR在6对样本中验证其表达。采用SPSS13.0软件包中的t检验评价表达差异。结果:基因芯片结果显示,与PLAG1转基因小鼠无瘤腺体组织、空白对照小鼠腺体组织相比,PLAG1转基因小鼠肿瘤中共有5627个LncRNA同时发生差异表达,其中2871个上调、2756个下调。实时荧光定量PCR结果显示,5个随机挑选的LncRNA中,4个(AK146794、ENSMUST00000119440、ENSMUST00000140495、Gm12873)与基因芯片结果一致。结论:应用基因芯片筛选出PLAG1转基因小鼠中差异表达的长链非编码RNA,为进一步研究多形性腺瘤的发病机制提供了依据。 展开更多
关键词 基因芯片 多形性腺瘤 PLAG1转基因小鼠 长链非编码RNA
Loss of PSP94 expression is associated with early PSA recurrence and deteriorates outcome of PTEN deleted prostate cancers 预览
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作者 Andreas M. Luebke Ali Attarchi-Tehrani +20 位作者 Jan Meiners Claudia Hube-Magg Dagmar S. Lang Martina Kluth Maria Christina Tsourlakis Sarah Minner Ronald Simon Guido Sauter Franziska Buscheck Frank Jacobsen Andrea Hinsch Stefan Steurer Thorsten Schlomm Hartwig Huland Markus Graefen Alexander Haese Hans Heinzer Till S. Clauditz Eike Burandt Waldemar Wilczak Doris Hoflmayer 《癌症生物学与医学:英文版》 CAS CSCD 2019年第2期319-330,共12页
Objective: Prostate secretory protein of 94 amino acids(PSP94) is a target gene of the EZH2 transcriptional repressor and is often downregulated in prostate cancer;however, its prognostic value is disputed.Methods: Im... Objective: Prostate secretory protein of 94 amino acids(PSP94) is a target gene of the EZH2 transcriptional repressor and is often downregulated in prostate cancer;however, its prognostic value is disputed.Methods: Immunohistochemical analysis of a tissue microarray of 12, 432 prostate cancer specimens was performed to evaluate PSP94 expression. Correlation of PSP94 expression with tumor phenotype, patient prognosis, TMPRSS2:ERG fusion status, EZH2 expression and PTEN deletion was studied.Results: PSP94 expression was increased in benign prostatic hyperplasia;however, it was downregulated in 48% and negative in42% of the 9, 881 interpretable prostate cancer specimens. The loss of PSP94 expression was inversely correlated to EZH2 expression(P < 0.0001) and largely unrelated to the ERG status, but strongly correlated with high Gleason grade, advanced tumor stage, and nodal metastasis(P <0.0001 each). The fraction of PSP94-negative cancer specimens increased from 40% in pT2 to 52%in pT3 b-pT4(P < 0.0001) and from 40% in Gleason 3+3 = 6 to 46% in Gleason 4+3 = 7 and 60% in Gleason ≥4+4 = 8(P <0.0001). Loss of PSP94 was linked to early prostate-specific antigen recurrence, but with little absolute effect(P < 0.0001).However, it provided additional prognostic impact in cancer specimens with PTEN deletion. Loss of PSP94 deteriorated prognosis of cancer patients with PTEN deletion by more than 10%(P < 0.0001). The combination of PTEN deletion and PSP94 loss provided independent prognostic information that was observed in several subgroups defined by classical and quantitative Gleason grade.Conclusions: The results of our study suggest that combined PSP94/PTEN analysis can be potentially used in the clinical prognosis of prostate cancer. 展开更多
关键词 MSMB PSP94 PTEN PROSTATE cancer tissue MICROARRAY
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长途运输应激对孕中期小鼠胚胎发育的影响 预览
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作者 孙丽萍 张靖楠 +2 位作者 李小娟 张蓓 杨利国 《中国畜牧杂志》 CAS 北大核心 2019年第10期135-140,共6页
为研究运输应激对胚胎发育的影响机制,采用普通公路运输建立小鼠运输应激模型(1 000 km,15 h)。将27只孕中期(怀孕8~10 d)的小鼠随机分为对照组(13只)和应激组(14只),分析运输应激对胎儿发育的影响;之后2组小鼠随机挑选各3只,采用agilen... 为研究运输应激对胚胎发育的影响机制,采用普通公路运输建立小鼠运输应激模型(1 000 km,15 h)。将27只孕中期(怀孕8~10 d)的小鼠随机分为对照组(13只)和应激组(14只),分析运输应激对胎儿发育的影响;之后2组小鼠随机挑选各3只,采用agilent小鼠全基因组表达谱芯片筛选长途运输应激小鼠垂体和子宫中的差异表达基因。选取6个差异表达基因,应用实时荧光定量PCR技术验证芯片结果的可靠性。结果表明:与对照组相比,长途运输导致活胎率下降和死胎率增加(P<0.05);在孕中期垂体中筛选到138个基因差异表达,其中71个基因表达显著上调,67个基因表达显著下调;在孕中期子宫中筛选到392个基因差异表达,其中73个基因表达显著上调,319个基因表达显著下调。对差异显著基因进行IPA分析发现,主要通路和生物功能涉及免疫和炎性疾病、细胞的生长、增殖和细胞间的相互作用、机能失调等;实时荧光定量PCR对akap3、Angptl4、Cartpt、insl6、thy1进行验证结果与芯片结果的表达趋势一致。 展开更多
关键词 运输应激 胚胎发育 表达谱芯片 小鼠
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皮肤鳞状细胞癌转录组学微阵列分析方法的研究策略及进展 预览
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作者 韩向春 郑力强 +1 位作者 冯志芳 马静 《解放军医学杂志》 CAS CSCD 北大核心 2019年第6期521-526,共6页
皮肤鳞状细胞癌(cSCC)是角质形成细胞来源的恶性肿瘤之一。近年来,生物信息学方法在cSCC相关研究中的应用非常广泛,包括基因组学、转录组学和蛋白组学等研究手段。其中转录组学是从整体水平研究基因的功能和结构,揭示特定生物学过程中... 皮肤鳞状细胞癌(cSCC)是角质形成细胞来源的恶性肿瘤之一。近年来,生物信息学方法在cSCC相关研究中的应用非常广泛,包括基因组学、转录组学和蛋白组学等研究手段。其中转录组学是从整体水平研究基因的功能和结构,揭示特定生物学过程中的分子机制,目前以微阵列(基因芯片)分析方法研究得较为深入。该文就转录组学研究中比较常用的基因芯片表达数据库选择与处理流程,在线分析平台和相关软件,以及基因表达芯片在cSCC中最新的研究进展进行综述。 展开更多
关键词 转录组学 微阵列 皮肤肿瘤 鳞状细胞 研究策略 研究进展
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卡铂对肝癌HepG2细胞影响的基因芯片分析 预览
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作者 岳萍 陈琳 +3 位作者 黄文竹 胡祖权 王赟 邱炜 《贵州医科大学学报》 CAS 2019年第3期279-282,288共5页
目的:分析卡铂对肝癌HepG2细胞基因转录水平的影响。方法:用50mg/L卡铂处理HepG2细胞48h后,Trizol法抽提总RNA,利用基因芯片检测HepG2细胞基因在转录水平上的表达变化,分析获得差异基因;采用基因本体论(GO)分析差异转录基因分子功能、... 目的:分析卡铂对肝癌HepG2细胞基因转录水平的影响。方法:用50mg/L卡铂处理HepG2细胞48h后,Trizol法抽提总RNA,利用基因芯片检测HepG2细胞基因在转录水平上的表达变化,分析获得差异基因;采用基因本体论(GO)分析差异转录基因分子功能、细胞组成及参与的生物过程,采用京都基因与基因组百科全书(KEGG)分析差异转录基因涉及的相关信号通路。结果:差异转录的基因共有1474个(与对照组相比,变化倍数>3),其中上调基因有520个,下调基因有954个;这些差异转录基因参与了酶结合、腺嘌呤核苷酸结合等相关功能,并与内质网、高尔基体、细胞骨架、锚定连接及细胞外间隙等有关;差异转录基因涉及淀粉和蔗糖代谢、抗坏血酸和醛酸代谢、MAPK通路、类固醇激素生物合成、补体与凝血级联途径等信号通路。结论:卡铂影响HepG2细胞中多个基因的转录,这些基因调控细胞多种功能。 展开更多
关键词 肝肿瘤 卡铂 HEPG2细胞 基因芯片 差异基因 GO分析 KEGG分析
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基于最小二乘支持向量机微阵列基因特征分类 预览
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作者 高振斌 《计算机应用与软件》 北大核心 2019年第8期288-292,共5页
基因表达分析中的微阵列数据具有高维、高冗余的特点,给基因表达数据分类带来很大的困难。机器学习中的最小二乘支持向量机算法具有计算效率高的优势,从而为数据挖掘提供了一条有效途径。针对两类典型的癌症微阵列数据集(结肠癌集和白... 基因表达分析中的微阵列数据具有高维、高冗余的特点,给基因表达数据分类带来很大的困难。机器学习中的最小二乘支持向量机算法具有计算效率高的优势,从而为数据挖掘提供了一条有效途径。针对两类典型的癌症微阵列数据集(结肠癌集和白血病集),进行归一化预处理并且计算其相关系数矩阵;使用主成分分析法进行降维处理,得到用于特征选取和分类的信息基因集(各取 10个基因);采用最小二乘支持向量机分类器对信息基因集进行分类。实验结果表明,该算法在两类癌症数据集上的留一交叉检验的准确率分别为97.5%和100%,具有比其他分类器都高的测试准确率,为进一步医学临床应用提供可靠的诊断依据。 展开更多
关键词 微阵列 特征分类 降维 最小二乘支持向量机
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MicroRNA expression in the hippocampal CA1 region under deep hypothermic circulatory arrest 预览
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作者 Xiao-Hua Wang Dong-Xu Yao +7 位作者 Xiu-Shu Luan Yu Wang Hai-Xia Liu Bei Liu Yang Liu Lei Zhao Xun-Ming Ji Tian-Long Wang 《中国神经再生研究:英文版》 SCIE CAS CSCD 2019年第11期2003-2010,共8页
Using deep hypothermic circulatory arrest, thoracic aorta diseases and complex heart diseases can be subjected to corrective procedures. However, mechanisms underlying brain protection during deep hypothermic circulat... Using deep hypothermic circulatory arrest, thoracic aorta diseases and complex heart diseases can be subjected to corrective procedures. However, mechanisms underlying brain protection during deep hypothermic circulatory arrest are unclear. After piglet models underwent 60 minutes of deep hypothermic circulatory arrest at 14°C, expression of microRNAs(miRNAs) was analyzed in the hippocampus by microarray. Subsequently, TargetScan 6.2, RNA22 v2.0, miRWalk 2.0, and miRanda were used to predict potential targets, and gene ontology enrichment analysis was carried out to identify functional pathways involved. Quantitative reverse transcription-polymerase chain reaction was conducted to verify miRNA changes. Deep hypothermic circulatory arrest altered the expression of 35 miRNAs. Twenty-two miRNAs were significantly downregulated and thirteen miRNAs were significantly upregulated in the hippocampus after deep hypothermic circulatory arrest. Six out of eight targets among the differentially expressed miRNAs were enriched for neuronal projection(cyclin dependent kinase, CDK16 and SLC1 A2), central nervous system development(FOXO3, TYRO3, and SLC1 A2), ion transmembrane transporter activity(ATP2 B2 and SLC1 A2), and interleukin-6 receptor binding(IL6 R)– these are the key functional pathways involved in cerebral protection during deep hypothermic circulatory arrest. Quantitative reverse transcription-polymerase chain reaction confirmed the results of microarray analysis. Our experimental results illustrate a new role for transcriptional regulation in deep hypothermic circulatory arrest, and provide significant insight for the development of miRNAs to treat brain injuries. All procedures were approved by the Animal Care Committee of Xuanwu Hospital, Capital Medical University, China on March 1, 2017(approval No. XW-INI-AD2017-0112). 展开更多
关键词 nerve REGENERATION cerebral protection deep hypothermic circulatory ARREST gene ontology enrichment analysis microRNA hippocampus POST-TRANSCRIPTIONAL expression MICROARRAY BIOINFORMATICS neural REGENERATION
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Profiling and bioinformatics analysis of differentially expressed circular RNAs in human intervertebral disc degeneration
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作者 Shunmin Wang Jingchuan Sun +5 位作者 Haisong Yang Weiguo Zou Bing Zheng Yu Chen Yongfei Guo Jiangang Shi 《生物化学与生物物理学报:英文版》 SCIE CAS CSCD 2019年第6期571-579,共9页
The functional changes of nucleus pulposus (NP) cells are considered to be the initiating factors of intervertebral disc degeneration (IDD), and the differentially expressed circRNAs in NP cells may play an important ... The functional changes of nucleus pulposus (NP) cells are considered to be the initiating factors of intervertebral disc degeneration (IDD), and the differentially expressed circRNAs in NP cells may play an important role in the process of IDD. To identify circular RNAs (circRNAs) associated with human IDD, we isolated the NP cells from human degenerated and non-degenerated intervertebral disc and identified NP cells by microscopy and cell proliferation. CircRNA microarray expression profiles were obtained from NP cells of degenerated and non-degenerated intervertebral disc and further validated by quantitative reverse transcription PCR (qRTPCR). The expression data were analyzed by bioinformatics. Microarray analysis identified 7294 circRNAs differentially expressed in degenerated human IDD NP cells. Among them, 3724 circRNAs were up-regulated and 3570 circRNAs were down-regulated by more than 2 folds. After validating by qRT-PCR, we predicted the possible miRNAs of the top dysregulated circRNAs using TargetScan, and miRanda. Furthermore, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis showed that the most modulated circRNAs regulate the viability, degradation, apoptosis and oxidative stress in NP cells, and the possible mechanism underlying IDD was discussed. These results revealed that circRNAs may play a role in IDD and might be a promisi ng can didate molecular target for gene therapy. 展开更多
关键词 IDD nucleus pulposus DEGENERATION CIRCULAR RNA MICROARRAY
唇腭裂在胎儿期发育异常的染色体核型和微阵列分析 预览
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作者 陈科谚 余蕙君 +8 位作者 张瑚 何海洪 崔胜金 柯娟玉 陈泽衍 刘欣桐 王静 韦唯 周义文 《广东医学》 CAS 2019年第20期2880-2885,共6页
目的探讨染色体G显带和微阵列分析(chromosomal microarray a-nalysis)在唇腭裂发育异常胎儿的结果关系。方法回顾性研究200例孕妇资料的产前诊断、胎儿染色体G显带和微阵列分析的关系,这些孕妇资料均为产前超声筛查发现胎儿期存在唇腭... 目的探讨染色体G显带和微阵列分析(chromosomal microarray a-nalysis)在唇腭裂发育异常胎儿的结果关系。方法回顾性研究200例孕妇资料的产前诊断、胎儿染色体G显带和微阵列分析的关系,这些孕妇资料均为产前超声筛查发现胎儿期存在唇腭裂。唇裂根据嘴唇裂开类型不同分为3组,分别是唇裂(上唇部不同程度的裂开)、腭裂(腭裂存在软组织畸形,可伴骨组织缺损和畸形)和唇裂合并腭裂(整个上唇直至鼻底都会裂以上唇裂伴有牙槽嵴裂和腭裂为特征的先天性畸形),同时,又根据结构或者超声指标异常方面分为单纯组和合并组。将这200例病例进行微阵列分析和染色体G显带分析,通过用x^2检验比较唇腭裂在胎儿期发育异常与染色体核型之间的关系。结果(1)染色体检测出异常的有67例,异常率为33.5%(67/200)。数目异常57例占85.07%(57/67),21-三体28例占41.79%(28/67),18-三体18例占26.87%(18/67),13-三体8例占11.94%(8/67),性染色体异常3例占4.48%(3/67);结构异常10例占14.93%(10/67),在结构异常中的平衡易位2例占2.99%(2/67),不平衡易位8例占11.94%(8/67)。(2)唇裂85例,染色异常19例,异常比例为22.35%(19/85)。腭裂36例,染色体异常15例,异常比例占41.67%(15/36)。唇裂合并腭裂79例,染色体异常33例,异常比例占41.77%(33/79),多组x^2检验的两两比较,差异无统计学意义(x^2=2.211、2.864、2.658,P=0.105、0.110、0.108)。单纯组97例中检出胎儿染色体异常26例占26.80%(26/97),合并组103例中检出胎儿染色体异常41例占39.81%(41/103),两组差异有统计学意义(x^2=4.115,P=0.045)。结论染色体的异常与胎儿唇裂、腭裂及唇裂合并腭裂的关系非常密切。唇裂、腭裂及唇裂合并腭裂三者差异不大,如果超声检查合并了其他结构异常或者超声软指标的问题,建议进行介入性的产前诊断检查。 展开更多
关键词 胎儿唇腭裂 染色体 超声 产前诊断 微阵列
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循环miRNAs分析检测方法研究进展
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作者 王晓军 周殿明 《环境与健康杂志》 CAS 北大核心 2019年第1期72-77,共6页
循环miRNAs是重要的毒性标志分子,其含量极低、序列多样和长度较短的特性给分析检测带来挑战,成为决定其应用于新化学物质和材料的毒理学研究和临床应用的关键。该文综述了目前可用于循环miRNA分析检测的方法,包括传统微阵列法、测序法... 循环miRNAs是重要的毒性标志分子,其含量极低、序列多样和长度较短的特性给分析检测带来挑战,成为决定其应用于新化学物质和材料的毒理学研究和临床应用的关键。该文综述了目前可用于循环miRNA分析检测的方法,包括传统微阵列法、测序法、RT-PCR法和生物传感方法,并对这些方法的技术特点和检测中存在的主要问题进行论述。 展开更多
关键词 循环miRNA 毒性标志物 微阵列法 测序法 RT-PCR法 生物传感
多重PCR结合基因芯片技术检测5种猪繁殖障碍性病毒病方法的研究 预览
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作者 刘胜利 刘玲玲 +2 位作者 吕玉金 吴凤笋 李文刚 《中国畜牧兽医》 CAS 北大核心 2019年第5期1532-1540,共9页
为建立运用多重PCR和基因芯片技术同时检测5种猪繁殖障碍性病毒病的方法。本研究根据GenBank中登录的猪瘟病毒(CSFV)、猪细小病毒(PPV)、猪繁殖与呼吸综合征病毒(PRRSV)、猪日本乙型脑炎病毒(JEV)及猪圆环病毒2型(PCV2)的基因序列设计... 为建立运用多重PCR和基因芯片技术同时检测5种猪繁殖障碍性病毒病的方法。本研究根据GenBank中登录的猪瘟病毒(CSFV)、猪细小病毒(PPV)、猪繁殖与呼吸综合征病毒(PRRSV)、猪日本乙型脑炎病毒(JEV)及猪圆环病毒2型(PCV2)的基因序列设计特异性引物与探针,制备相应的寡核苷酸芯片,检测了5种猪繁殖障碍性疾病病毒的标准毒株,并对16份临床样品进行检测。通过多重PCR扩增出带有荧光标记的5种病毒的特异性基因片段,并与固定有特异性探针的基因芯片杂交。结果显示,本研究建立的多重PCR结合基因芯片检测方法特异性强、稳定性好,灵敏度可达102拷贝/μL。16份临床样品检测结果显示阳性率达87.5%(14/16)。以上结果表明该方法特异性好、灵敏度高,可高效检测以上5种病毒,为其临床诊断及流行病学调查提供了有效的检测方法。 展开更多
关键词 多重PCR 基因芯片 CSFV PPV PRRSV JEV PCV2
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高通量数字化毛细管微阵列芯片 预览
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作者 邱亚军 李金泽 +2 位作者 李传宇 张芷齐 周连群 《光学精密工程》 EI CAS CSCD 北大核心 2019年第6期1237-1244,共8页
针对数字PCR体系样品的分割方式,开发了一款数字PCR体系样品分割芯片,用于微量生物样品检测。利用微机电系统(MEMS)制备阵列化的硅基片,采用硅片高效低损伤超精密磨削减薄工艺对硅基片进行减薄,结合化学改性方法,成功制备了表面疏水孔... 针对数字PCR体系样品的分割方式,开发了一款数字PCR体系样品分割芯片,用于微量生物样品检测。利用微机电系统(MEMS)制备阵列化的硅基片,采用硅片高效低损伤超精密磨削减薄工艺对硅基片进行减薄,结合化学改性方法,成功制备了表面疏水孔壁亲水的毛细管微阵列芯片。通过扫描电子显微镜(SEM)对芯片结构进行表征,SEM结果显示,芯片结构为通孔微阵列。通过接触角表征芯片表面的疏水性,对比化学处理前后芯片表面的接触角,结果表明化学处理后芯片表面疏水,接触角为118°。通过能谱(EDS)表征芯片孔壁的亲水性,结果表明,芯片孔壁只有Si,O两种元素,形成亲水基团,因此,芯片孔壁亲水。通过测量显微镜和荧光显微镜表征芯片的样品分割性能,结果表明芯片将样品分割为均一的独立单元。通过激光共聚焦扫描仪表征,直观地反应了芯片的整体样品分割效果,通过计算芯片的样品填孔率为93.8%。本文成功制备了表面疏水孔壁亲水的毛细管微阵列芯片,该芯片具有优异的样品分割性能,在生物医学领域具有广阔的应用前景。 展开更多
关键词 微阵列芯片 高通量 数字化 毛细管 化学改性 亲疏水
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长链非编码RNA在心房颤动大鼠心房组织中的差异表达
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作者 郑武扬 刘会霞 +4 位作者 黄峥嵘 黄红浪 万晓群 谢强 李卫华 《中国医药》 2019年第6期835-837,共3页
目的筛选心房颤动大鼠与正常大鼠心房组织长链非编码RNA(Lnc RNA)差异表达谱。方法选取基线水平相似的雄性野生型SD大鼠40只,应用随机数字表法分为对照组与心房颤动组,各20只。心房颤动组大鼠每天静脉注射心房颤动诱导药液0. 1 ml/100 g... 目的筛选心房颤动大鼠与正常大鼠心房组织长链非编码RNA(Lnc RNA)差异表达谱。方法选取基线水平相似的雄性野生型SD大鼠40只,应用随机数字表法分为对照组与心房颤动组,各20只。心房颤动组大鼠每天静脉注射心房颤动诱导药液0. 1 ml/100 g,连续给药7 d;对照组静脉注射0. 1 ml/100 g的0. 9%氯化钠注射液。心电图监测大鼠心房颤动情况。采用Lnc RNA基因芯片实验筛选2组大鼠左心房组织差异表达的Lnc RNA,并采用实时荧光定量聚合酶链反应法检测筛选出的Lnc RNA在2组大鼠心房组织中的实际表达情况。结果心房颤动组均造模成功。Lnc RNA基因芯片实验检测显示,与正常大鼠心房组织相比,心房颤动组大鼠心房组织Lnc RNA表达谱系发生显著变化,其中表达上调的Lnc RNA分别为TMEM252、USP18、CXCL10、OTOF与IFI27,表达下调的Lnc RNA分别为GRASP、LAMB3、PLAU与SEMG1。心房颤动组大鼠心房组织TMEM252、USP18、CXCL10、OTOF与IFI27表达水平均高于对照组[(4. 32±0. 54)比(0. 49±0. 13)、(16. 42±3. 46)比(2. 31±0. 51)、(7. 83±1. 32)比(1. 18±0. 33)、(25. 97±5. 13)比(4. 52±1. 92)、(10. 09±2. 12)比(1. 36±0. 63)],GRASP、LAMB3、PLAU与SEMG1表达水平均低于对照组[(0. 92±0. 33)比(2. 49±0. 82)、(1. 03±0. 41)比(5. 13±1. 12)、(2. 86±0. 42)比(14. 38±1. 93)、(1. 63±0. 44)比(10. 42±2. 19)],差异均有统计学意义(均P <0. 05),且趋势与芯片结果相符。结论心房颤动大鼠心房组织存在显著Lnc RNA差异表达谱变化。 展开更多
关键词 心房颤动 长链非编码RNA 基因芯片
艾灸对胃荷瘤大鼠瘤体内Th1、Th2类细胞因子表达的影响
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作者 谭静 林亚平 +4 位作者 赵欢 彭卓隽 欧阳里知 陈欲攀 石俊林 《免疫学杂志》 CAS CSCD 北大核心 2019年第12期1061-1066,共6页
目的观察艾灸对胃荷瘤大鼠瘤体内Th1、Th2类细胞因子表达的影响。方法 40只体质量200~240 g SPF级SD大鼠适应性喂养1周后,采用手术胃部移植Walker-256瘤组织建立胃荷瘤模型。7 d后随机选取10只验证造模成功,剩余30只随机分入模型组、艾... 目的观察艾灸对胃荷瘤大鼠瘤体内Th1、Th2类细胞因子表达的影响。方法 40只体质量200~240 g SPF级SD大鼠适应性喂养1周后,采用手术胃部移植Walker-256瘤组织建立胃荷瘤模型。7 d后随机选取10只验证造模成功,剩余30只随机分入模型组、艾灸组及红外组,每组10只。自入组当日起,艾灸组第1日悬灸中脘、关元、双侧足三里,第2日悬灸双侧脾俞及胃俞;红外组第1日红外线照射胃脘部,第2日照射背部T12-T13棘突间区域;模型组第1日仰卧位固定,第2日俯卧位固定。各组每次干预20 min,每日1次,连续21 d。干预期间密切观察动物摄食量、体质量,对生存状态进行积分。干预结束后,处死动物,测量胃部瘤体体积,测算生长抑制率。利用细胞因子微阵列芯片对瘤体中Th1、Th2类细胞因子进行筛查,ELISA法测定其含量。结果干预结束后,与模型组比较,艾灸组动物生存状态改善,摄食量及体质量增加(均P<0.01),胃部瘤体增长受限(P<0.01),抑制率达41.89%,瘤体内Th1类细胞因子TNF-α、INF-γ含量增加(P<0.01,P<0.05),Th2类细胞因子IL-6、IL-22含量减少(P<0.01,P<0.05);与模型组比较,红外组动物生存状态、体质量稍改善(均P<0.05),胃部瘤体增长稍受限,抑制率为28.09%,瘤体内TNF-α含量增加(P<0.05),IL-6含量减少(P<0.01);与红外组比较,艾灸组动物摄食量、生存状态积分改善更明显(P<0.01,P<0.05),胃部瘤体体积更小(P<0.05),瘤体内INF-γ含量更高(P<0.05)。结论艾灸及红外治疗能不同程度地改善荷瘤动物的生存状态,抑制瘤体生长,其作用可能与增加瘤体内Th1类细胞因子TNF-α、INF-γ,减少Th2类细胞因子IL-6、IL-22有关。 展开更多
关键词 艾灸 胃癌 微阵列芯片 TH1细胞因子 TH2细胞因子
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