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20261“…Metascape database platform was used to enrich and analyze the GO (Gene ontology) annotation and KEGG pathway of the targets. …”
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20262por Cruz-Saavedra, Lissa, Muñoz, Marina, Patiño, Luz Helena, Vallejo, Gustavo A., Guhl, Felipe, Ramírez, Juan David“…Chromosome analysis indicated that chromosome 1 harbored the highest number of changes for both DTUs for all thermal treatments. Finally, gene ontology (GO) analyses showed a decrease in the coding RNAs involved in the regulation of processes related to the metabolism of lipids and carbohydrates, the evasion of oxidative stress, and proteolysis and phosphorylation processes, and a decrease in RNAs coding to ribosomal proteins in TcI and TcII, along with an increase in the expression of surface metalloprotease GP63 in TcII. …”
Publicado 2020
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20263por Wang, Mu-Lan, Yang, Qin-Qin, Ying, Xu-Hui, Li, Yuan-Yuan, Wu, Yang-Sheng, Shou, Qi-Yang, Ma, Quan-Xin, Zhu, Zi-Wei, Chen, Min-Li“…We then performed gene ontology (GO) enrichment analyses and KEGG signaling pathway analyses for the action targets, and constructed networks of active component–target and active component–target–pathway for GXNT. …”
Publicado 2020
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20264por Kang, Sang-Ho, Kim, Byeollee, Choi, Beom-Soon, Lee, Hyun Oh, Kim, Nam-Hoon, Lee, Seung Jae, Kim, Hye Sik, Shin, Myung Ju, Kim, Hyo-Won, Nam, Kyunghyun, Kang, Kyoung Dae, Kwon, Soo-Jin, Oh, Tae-Jin, Lee, Sang-Choon, Kim, Chang-Kug“…Transcriptome profiling revealed 3,988 genes that are differentially expressed in seeds relative to other tissues, of which 1,470 genes were strongly up-regulated in seeds and the most enriched Gene Ontology terms were assigned to carbohydrate and protein metabolism. …”
Publicado 2020
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20265por Chen, Jian, Wang, Yong-kui, Gao, Yuan, Hu, Ling-San, Yang, Jiang-wei, Wang, Jian-ru, Sun, Wen-jie, Liang, Zhi-qiang, Cao, Ye-min, Cao, Yong-bing“…The corresponding common targets of the five FUs were all significantly enriched in Go Ontology (oxidoreductase activity, lipid metabolic process, homeostatic process, etc.), KEGG pathways (steroid biosynthesis, PPAR signaling pathway, adipocytokine signaling pathway, etc.), TTD diseases (chronic inflammatory diseases, asthma, chronic obstructive pulmonary Disease, etc.), miRNA (MIR183), kinase (CDK7) and TF (LXR). …”
Publicado 2020
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20266por Qu, Yan-Jie, Zhen, Rong-Rong, Zhang, Li-Min, Gu, Chao, Chen, Lei, Peng, Xiao, Hu, Bing, An, Hong-Mei“…Subsequently, gene enrichment in Gene Ontology (GO) and KEGG pathways were conducted using the David 6.8 online tool. …”
Publicado 2020
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20267por Li, Chang, Zou, Han, Xiong, Zujian, Xiong, Yi, Miyagishima, Danielle F., Wanggou, Siyi, Li, Xuejun“…Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Ontology (GO), and protein–protein interaction (PPI) analyses were performed. …”
Publicado 2020
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20268por Wang, Cheng, Xu, Xiang, Chen, Jing, Kang, Yu, Guo, Jiahe, Duscher, Dominik, Yang, Xiaofan, Guo, Guojun, Ren, Sen, Xiong, Hewei, Yuan, Meng, Jiang, Tao, Machens, Hans-Günther, Chen, Zhenbing, Chen, Yanhua“…METHODS: Whole-transcriptome sequencing technology was applied to systematically analyze the differentially expressed mRNAs, lncRNAs and miRNAs in SCs from DPN rats and control rats. Gene ontology (GO) and KEGG pathway enrichment analyses were used to investigate the potential functions of the differentially expressed genes. …”
Publicado 2020
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20269por Qiu, Chensheng, Wu, Xiaolin, Bian, Jiang, Ma, Xuexiao, Zhang, Guoqing, Guo, Zhu, Wang, Yan, Ci, Yandong, Wang, Qizun, Xiang, Hongfei, Chen, Bohua“…Bioinformatic analyses, including Gene Ontology (GO) annotation, domain annotation, pathway annotation, subcellular localization and functional enrichment analyses, were used to interpret the potential significance of the protein alterations in the mechanism of IVDD. …”
Publicado 2020
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20270por Domingo-Relloso, Arce, Riffo-Campos, Angela L., Haack, Karin, Rentero-Garrido, Pilar, Ladd-Acosta, Christine, Fallin, Daniele M., Tang, Wan Yee, Herreros-Martinez, Miguel, Gonzalez, Juan R., Bozack, Anne K., Cole, Shelley A., Navas-Acien, Ana, Tellez-Plaza, Maria“…Enrichment analyses of these DMPs displayed enrichment of 58 and 6 Gene Ontology and Kyoto Encyclopedia of Genes and Genomes gene sets, respectively, including biological pathways for cancer and cardiovascular disease. …”
Publicado 2020
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20271por Yu, Xiang, Fang, Xibi, Gao, Ming, Mi, Jiaqi, Zhang, Xiuqi, Xia, Lixin, Zhao, Zhihui, Albrecht, Elke, Maak, Steffen, Yang, Runjun“…According to KEGG pathway and Gene Ontology (GO) analyses, multiple predicted target genes were associated with lipid metabolism. …”
Publicado 2020
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20272por Parkes, Joanna E., Thoma, Anastasia, Lightfoot, Adam P., Day, Philip J., Chinoy, Hector, Lamb, Janine A.“…METHODS: mRNA and miRNA in whole blood samples from 7 polymyositis (PM), 7 dermatomyositis (DM), 5 inclusion body myositis and 5 non-myositis controls was profiled using next generation RNA sequencing. Gene ontology and pathway analyses were performed using GOseq and Ingenuity Pathway Analysis. …”
Publicado 2020
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20273por Chen, Chen, Geng, Linyu, Xu, Xue, Kong, Wei, Hou, Yayi, Yao, Genhong, Feng, Xuebing, Zhang, Huayong, Liang, Jun“…The TMT-LC-MS/MS-based proteomics approach was used to identify the differential proteome among the three matched groups, and the data were analyzed by bioinformatics tools, including Gene Ontology (GO) categories, Kyoto Encyclopedia of Genes and Genomes enrichment analysis, to explore canonical pathways and networks involved in the pathogenesis of NPSLE. …”
Publicado 2020
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20274“…These genes were enriched in several gene ontology terms. Genes related to p53-signaling consisted of CDK2, CDK1, RRM2, CCNB1, and CHEK1. …”
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20275por Kulus, Magdalena, Kranc, Wiesława, Sujka-Kordowska, Patrycja, Celichowski, Piotr, Konwerska, Aneta, Jankowski, Maurycy, Jeseta, Michal, Skowroński, Mariusz T., Piotrowska-Kempisty, Hanna, Bukowska, Dorota, Zabel, Maciej, Bruska, Małgorzata, Mozdziak, Paul, Kempisty, Bartosz, Antosik, Paweł“…Primary in vitro culture of porcine GCs was employed to examine the changes in the transcriptomic profile of genes belonging to “cell cycle”, “cell division”, “cell cycle process”, “cell cycle phase transition”, “cell cycle G1/S phase transition”, “cell cycle G2/M phase transition” and “cell cycle checkpoint” ontology groups. During the analysis, microarrays were employed to study the transcriptome of GCs, analyzing the total RNA of cells from specific periods of in vitro cultures. …”
Publicado 2020
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20276“…Furthermore, almost as much genes were inversely regulated as co-regulated by a 24 h long 4 °C cold treatment and exposure to heat-filtered high light (800 μmol quanta m(− 2) s(− 1)). Gene ontology enrichment analysis revealed that cold priming preferentially supports expression of genes involved in the defence against plant pathogens upon cold triggering. …”
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20277por Zhou, Zengyuan, Zhao, Xue, Chen, Liang, Li, Yuzheng, Chen, Zhao, Wang, Yuanyuan, Zhou, Zihao, Chu, Xia“…The potential functions of the DE lncRNAs were predicted by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses of target genes. …”
Publicado 2020
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20278por Guo, Lingyun, Wang, Zhenjiang, Du, Yuanyuan, Mao, Jie, Zhang, Junqiang, Yu, Zeyuan, Guo, Jiwu, Zhao, Jun, Zhou, Huinian, Wang, Haitao, Gu, Yanmei, Li, Yumin“…Differentially expressed genes (DEGs) were selected. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment were conducted to discover biological functions of DEGs. …”
Publicado 2020
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20279“…RESULTS: Two subtypes associated with energy metabolism was determined using the “NFM” algorithm, and significant modules related to energy metabolism were identified by WGCNA. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) suggested that the genes in the significant modules were enriched in kinase, immune metabolism processes, and metabolism-related pathways. …”
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20280por Mukai, Chinatsu, Choi, Eunju, Sams, Kelly L., Klampen, Elena Zu, Anguish, Lynne, Marks, Brooke A., Rice, Edward J., Wang, Zhong, Choate, Lauren A., Chou, Shao-Pei, Kato, Yukinari, Miller, Andrew D., Danko, Charles G., Coonrod, Scott A.“…Computational analysis was then used to identify differentially expressed genes and these factors were subjected to gene ontology analysis. ChRO-seq analysis revealed over a thousand differentially expressed genes in HSA tissue compared with normal splenic tissue (FDR < 0.005). …”
Publicado 2020
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