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18541por Huang, Yan, Chen, Chun-lan, Yuan, Jing-jing, Li, Hui-min, Han, Xiao-rong, Chen, Rong-chang, Guan, Wei-jie, Zhong, Nan-shan“…Bronchiectasis patients were stratified into PA and non-PA colonization groups based on sputum culture findings. We applied Gene Ontology and Kyoto Encyclopedia of Genes and Genome pathway enrichment analysis to explore biological pathways corresponding to the differentially expressed microRNAs (DEMs) associated with PA colonization. …”
Publicado 2019
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18542por Ge, Pan, Zhang, Jian, Zhou, Liang, Lv, Mo-qi, Li, Yi-xin, Wang, Jin, Zhou, Dang-xia“…Bioinformatics analyses including the circRNA/miRNA/mRNA interaction network, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were used to predict the functions of differentially expressed circRNAs. …”
Publicado 2019
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18543por Li, Yuwei, Chen, Xia, Huang, Hengliu, Li, Guangyao, Liao, Ling, Yuan, Tao, Deng, Shaoli“…METHODS: To examine the differentially expressed profiles of lncRNAs and mRNAs using microarray analysis, we collected 15 specimens: five HBV-associated HCC tissues, five paired adjacent peritumoral liver tissues (APLT), and five distant peritumoral liver tissues (DPLT). Then, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to predict the biological roles and potential signaling pathways of these dysregulated mRNAs. …”
Publicado 2019
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18544“…The overlapping DEGs were enriched in 46 Gene Ontology terms and one KEGG pathway. A total of 60 PPI pairs were identified for the overlapping DEGs and 12 negative miRNA-gene pairs were identified for the DEMs. …”
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18545por Bjorkman, Kristen K., Buvoli, Massimo, Pugach, Emily K., Polmear, Michael M., Leinwand, Leslie A.“…We monitored effects on differentiation by measuring fusion index, myotube area, and myogenic gene expression during time course differentiation experiments. RESULTS: Gene ontology analysis revealed a strongly enriched set of putative miR-1 and miR-206 targets associated with RNA metabolism. …”
Publicado 2019
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18546“…The most significant Gene Ontology terms identified with K-CPGC are shown consistent with the controlled conditions of each dataset. …”
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18547por Niu, Xiaowei, Zhang, Jingjing, Zhang, Lanlan, Hou, Yangfan, Pu, Shuangshuang, Chu, Aiai, Bai, Ming, Zhang, Zheng“…Methods: Genes exhibiting the most (top 50%) variation in expression levels across samples in a GSE59867 dataset were imported to the WGCNA. Gene Ontology and pathway enrichment analyses were performed on genes identified in the key module by Metascape. …”
Publicado 2019
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18548“…Among them, 58362 unigenes were annotated through searches of five public databases (Nr: NCBI non-redundant protein sequences, Swiss-Prot: A manually annotated and reviewed protein sequence database, GO: Gene Ontology, KOG/COG: Clusters of Orthologous Groups of proteins, and KEGG: the Kyoto Encyclopedia of Genes and Genomes database), which led to association of unigenes with 44 GO terms. …”
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18549por Sun, Chun-Qing, Chen, Fa-Di, Teng, Nian-Jun, Yao, Yue-Mei, Shan, Xi, Dai, Zhong-Liang“…Using label-free analysis, 75 (2 vs 0 HAP) proteins (43 increased and 32 decreased), nine (6 vs 2 HAP) proteins (three increased and six decreased), and 90 (6 vs 0 HAP) proteins (52 increased and 38 decreased) were defined as differentially expressed proteins (DEPs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses revealed that the DEGs and DEPs were mainly involved in cell wall organization or biogenesis, S-adenosylmethionine (SAM) metabolism, hydrogen peroxide decomposition and metabolism, reactive oxygen species (ROS) metabolism, secondary metabolism, secondary metabolite biosynthesis, and phenylpropanoid biosynthesis. …”
Publicado 2019
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18550por Rahimi, Yousef, Bihamta, Mohammad Reza, Taleei, Alireza, Alipour, Hadi, Ingvarsson, Pär K.“…Association mapping under two tested environments yielded a total of 313 and 394 significant (−log(10) P >3) MTAs for the original and imputed SNP data sets, respectively. Gene ontology results showed that 27 and 27.5% of MTAs of SNPs in the original set were located in protein-coding regions for well-watered and rain-fed conditions, respectively. …”
Publicado 2019
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18551“…In addition, a circRNA-miRNA-mRNA interaction network was constructed. Gene Ontology analysis of the upregulated genes revealed that these genes were enriched in biological processes, including ‘flavonoid metabolic process’, ‘cellular glucuronidation’ and ‘T cell activation’. …”
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18552por Guha, Debjani, Lorenz, David R., Misra, Vikas, Chettimada, Sukrutha, Morgello, Susan, Gabuzda, Dana“…Functional annotation was performed by gene ontology (GO) mapping and expression annotation using Biobase Transfac and PANTHER software. …”
Publicado 2019
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18553“…RESULTS: RNA-seq differential expression analysis of M. smegmatis wild-type (WT), ΔprrAB mutant, and complementation strains revealed that during in vitro exponential growth, PrrAB regulates 167 genes (q < 0.05), 57% of which are induced in the WT background. Gene ontology and cluster of orthologous groups analyses showed that PrrAB regulates genes participating in ion homeostasis, redox balance, metabolism, and energy production. …”
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18554por Yang, Yi‐ran, Li, Chun‐wen, Wang, Jun‐hua, Huang, Xiao‐sheng, Yuan, Yi‐feng, Hu, Jiong, Liu, Kang, Liang, Bo‐cheng, Liu, Zhong, Shi, Xiao‐lin“…To examine the ubiquitylome data, we performed enrichment analysis using an ubiquitylated amino acid motif, Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway. …”
Publicado 2019
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18555por Wei, Shuai, Liang, Xue-Zhen, Hu, Qian, Wang, Wei-Shan, Xu, Wen-Jing, Cheng, Xiao-Qing, Peng, Jiang, Guo, Quan-Yi, Liu, Shu-Yun, Jiang, Wen, Ding, Xiao, Han, Gong-Hai, Liu, Ping, Shi, Chen-Hui, Wang, Yu“…All identified proteins were analyzed using the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis of bioinformatics, and the presence of several key proteins closely related to Wallerian degeneration were tested and verified using quantitative real-time polymerase chain reaction analyses. …”
Publicado 2019
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18556por Zhang, Keqiang, Yang, Lu, Wang, Jinhui, Sun, Ting, Guo, Yuming, Nelson, Rebecca, Tong, Tommy R., Pangeni, Rajendra, Salgia, Ravi, Raz, Dan J.“…In terms of underlying mechanisms, RNA sequencing and gene ontology enrichment analysis demonstrated that USP22 knockout significantly suppressed angiogenesis, proliferation, EMT, RAS, c-Myc pathways, concurrently enhanced oxidative phosphorylation and tight junction pathways in A549 and H1299 NSCLC cells. …”
Publicado 2019
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18557“…Moreover, analysis of gene ontology in the AD brain revealed that important signaling pathways and processes related to AD pathogenesis such as translational regulation, oxidative stress, cytoskeleton reorganization, and small GTPase signal transduction were altered in APP/PS1 Tg/sEH(−/−) mice compared with APP/PS1 Tg mice. …”
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18558por Kumar, Parameet, Sen, Chaitali, Peters, Kathryn, Frizzell, Raymond A., Biswas, Roopa“…In silico analyses of the cellular processes that are impacted by these LncRNAs was performed using Gene Ontology (GO). A selected subset of LncRNAs were validated by quantitative real-time PCR. …”
Publicado 2019
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18559“…Hub genes were identified from the modules associated with clinical traits using gene significance >0.2 and module membership >0.8 as the cut-off criteria. Gene Ontology and pathway analyses were subsequently performed on the hub genes and a protein-protein interaction network (PPI) was constructed. …”
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18560por Yang, Q., Soltis, A. R., Sukumar, G., Zhang, X., Caohuy, H., Freedy, J., Dalgard, C. L., Wilkerson, M. D., Pollard, H. B., Pollard, B. S.“…Shared functional gene ontology themes for genes suppressed by both digitoxin and gene therapy included inflammation (84 gene signature), and cell-cell interactions and fibrosis (49 gene signature), while genes elevated by both were enriched for epithelial differentiation (82 gene signature). …”
Publicado 2019
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