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21241“…Target genes of miR-361-3p were predicted by gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, and the expression of apoptosis- and metastasis-related proteins were assessed by Western blot assay. …”
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21242por Wang, Shi-shuo, Huang, Zhi-guang, Wu, Hua-yu, He, Rong-quan, Yang, Li-hua, Feng, Zhen-bo, Dang, Yi-wu, Lu, Hui-ping, Fang, Ye-ying, Chen, Gang“…The potential targets of miR-193a-3p were then predicted using miRWalk 2.0 and subjected to enrichment analyses, including Gene Ontology (GO) annotation, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and Protein-Protein Interaction (PPI) network analysis. …”
Publicado 2020
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21243por Zheng, Peng-Fei, Liao, Fu-Jun, Yin, Rui-Xing, Chen, Lu-Zhu, Li, Hui, Nie, Rong-Jun, Wang, Yong, Liao, Pei-Juan“…The online tool Database for Annotation, Visualization and Integrated Discovery (DAVID) (version 6.8; david.abcc.ncifcrf.gov) was used to annotate the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) enrichment analyses of the DEGs. A protein-protein interaction (PPI) network was constructed by Cytoscape software, and then Molecular Complex Detection (MCODE) analysis was used to screen for hub genes. …”
Publicado 2020
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21244por Yokoyama-Kokuryo, Waka, Yamazaki, Hayato, Takeuchi, Tsutomu, Amano, Koichi, Kikuchi, Jun, Kondo, Tsuneo, Nakamura, Seiji, Sakai, Ryoko, Hirano, Fumio, Nanki, Toshihiro, Koike, Ryuji, Harigai, Masayoshi“…RESULTS: Gene expression analysis revealed that the expression levels of 218 genes were significantly higher and those of 392 genes were significantly lower in the responders compared to the non-responders. Gene ontology analysis of the 218 genes identified “response to type I interferon (IFN)” with 24 type I IFN-related genes. …”
Publicado 2020
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21245por Chen, Zhao, Zhang, Kaiying, Qiu, Wei, Luo, Yifei, Pan, Yuhua, Li, Jianjia, Yang, Yeqing, Wu, Buling, Fang, Fuchun“…Bioinformatics analyses including Gene Ontology (GO) analysis, pathway analysis, and binding site prediction were performed for functional annotation of lncRNA. miRNA/odontogenesis-related gene networks and lncRNA-associated ceRNA networks were constructed. …”
Publicado 2020
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21246“…METHODS: We used vascular transcriptomics to identify differentially expressed genes (DEGs) in high fat/cholesterol (HFC) diet-fed Tibetan minipig atherosclerosis models, analyzed the DEGs gene ontology (GO) terms, pathways and protein-protein interactions (PPI) networks, and identified hub genes and key modules using molecular complex detection (MCODE), Centiscape and CytoHubba plugin. …”
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21247“…Next, we conducted bioinformatic analysis of gene ontology terms and Kyoto Encyclopedia of Genes and Genomes pathways to discover the enriched gene sets and pathways associated with DEGs. …”
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21248por Maghuly, Fatemeh, Deák, Tamás, Vierlinger, Klemens, Pabinger, Stephan, Tafer, Hakim, Laimer, Margit“…RESULTS: A total of 793,875 high-quality reads were assembled into 19,382 unique full-length contigs, of which 13,507 could be annotated with Gene Ontology (GO) terms. Microarray data analysis identified 9111 probes (out of 57,842 probes), which were differentially expressed between the six maturation stages. …”
Publicado 2020
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21249por Feng, Xinyu, Zhu, Lingqian, Qin, Zhiqiang, Mo, Xiaojin, Hao, Yuwan, Jiang, Ying, Hu, Wei, Li, Shizhu“…In total, 6032 gene ontology terms and 149 KEGG pathways were enriched. …”
Publicado 2020
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21250por Li, Lin, Feng, Fan, Zhao, Minying, Li, Tengyan, Yue, Wentao, Ma, Xu, Wang, Binbin, Yin, Chenghong“…Vector construction and plasmids transfection were performed, and subsequently RNA-sequencing (RNA-seq) was carried out in each group to dissect the differentially expressed genes in wild-type (WT) and D1853H NOTCH2 mutant expressing groups. Gene Ontology analysis was also used to analyze the enriched biological processes or pathways among the differentially expressed genes. …”
Publicado 2020
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21251por van Bilsen, Jolanda H. M., Dulos, Remon, van Stee, Mariël F., Meima, Marie Y., Rouhani Rankouhi, Tanja, Neergaard Jacobsen, Lotte, Staudt Kvistgaard, Anne, Garthoff, Jossie A., Knippels, Léon M. J., Knipping, Karen, Houben, Geert F., Verschuren, Lars, Meijerink, Marjolein, Krishnan, Shaji“…These causal early life immune networks were denoised using GeneMania, enriched with data from the gene-disease association database DisGeNET and Gene Ontology resource tools (GO/GO-SLIM), inferred missing relationships and added expert knowledge to generate information-dense early life immune networks. …”
Publicado 2020
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21252por Geng, Linyu, Xu, Xue, Zhang, Huayong, Chen, Chen, Hou, Yayi, Yao, Genhong, Wang, Shiying, Wang, Dandan, Feng, Xuebing, Sun, Lingyun, Liang, Jun“…Bioinformatic analysis suggested several gene ontology (GO) terms and signal pathways may play important roles in NPSLE development. …”
Publicado 2020
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21253por Alzaman, Naweed, Shamsi, Monis Bilal, Samad, Firoz abdul, Imam, Syed Nazar, Alharbi, Ghadeer, Zaitooni, Deema“…Functional prediction by Gene Ontology term analysis suggested that immune functions of CD40LG are compromised by this genetic change. …”
Publicado 2020
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21254“…After validating the RNA, miRNA and gene expressions, using integrated three RNA expression profiles (GSE18520, GSE27651, GSE54388) and miRNA profile (GSE47841) from the Gene Expression Omnibus (GEO) database, we performed Gene Ontology (GO) and Kyoto Encyclopedia of Gene and Genome (KEGG) pathway analyses through ClusterProfiler. …”
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21255por Wei, Ruqiong, Rodrìguez, Raquel Alarcòn, Mullor, Marìa del Mar Requena, Tan, Zhibiao, Gui, Yuchang, Hu, Jincui, Zhu, Tingpei, Huang, Xiaoxiao, Zhu, Yanyan, Xu, Jianwen“…Meanwhile, the related functional networks of DKK1 were analyzed by using the GeneMANIA interactive tool and Cytoscape software. Furthermore, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis was conducted using the Metascape online website, and we used the cBioPotartal database to explored DKK1 expression, aberrant information, and the co-expression genes in the subgroups of lung cancer. …”
Publicado 2020
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21256por Chen, Kuikui, Ma, Zhaochen, Yan, Xiaoning, Liu, Jie, Xu, Wenjuan, Li, Yueting, Dai, Yihang, Zhang, Yinhuan, Xiao, Hongbin“…A systems pharmacology approach incorporating target prediction and network construction, gene ontology (GO) enrichment and pathway analysis was performed to predict the active compounds and map the compounds-targets-disease network. …”
Publicado 2020
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21257por Wang, Sining, Chen, Huihua, Zheng, Yufan, Li, Zhenyu, Cui, Baiping, Zhao, Pei, Zheng, Jiali, Lu, Rong, Sun, Ning“…RESULTS: Among serum metabolites, the contents of PC and glucose were significantly increased, while the contents of various amino acids, lipids and their metabolites were significantly decreased in mice after RPA administration. Based on the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases, differential analysis showed that the liver was the site where RPA exerted a significant effect, which confirmed the rationality of “meridian tropism” in the theory in TCM. …”
Publicado 2020
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21258por Jhamat, Naveed, Niazi, Adnan, Guo, Yongzhi, Chanrot, Metasu, Ivanova, Elena, Kelsey, Gavin, Bongcam-Rudloff, Erik, Andersson, Göran, Humblot, Patrice“…Differential methylation analysis revealed that effects of LPS treatment were associated with methylation changes for genes involved in regulation of immune and inflammatory responses, cell adhesion, and external stimuli. Gene ontology and pathway analyses showed that most of the differentially methylated genes (DMGs) were associated with cell proliferation and apoptotic processes; and pathways such as calcium-, oxytocin- and MAPK-signaling pathways with recognized roles in innate immunity. …”
Publicado 2020
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21259por Howlader, Jewel, Robin, Arif Hasan Khan, Natarajan, Sathishkumar, Biswas, Manosh Kumar, Sumi, Kanij Rukshana, Song, Cheon Young, Park, Jong–In, Nou, Ill–Sup“…These 28 universally expressed DEGs were found to encode different types of proteins and enzymes those might regulate heterosis by modulating growth, development and stress–related functions in lily. In addition, gene ontology (GO) analysis of 260 annotated DEGs revealed that biological process might play dominant role in heterotic expression. …”
Publicado 2020
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21260por van Reij, Roel R. I., Voncken, Jan Willem, Joosten, Elbert A. J., van den Hoogen, Nynke J.“…Biological contextualisation of genetic marker, overlap between CPSP and chronic pain syndromes, was assessed through Gene Ontology (GO), using Pathway Scoring Algorithm (PASCAL) and REVIGO. …”
Publicado 2020
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