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19281por Liu, Fuqiang, Wei, Tao, Liu, Lin, Hou, Fangxia, Xu, Cuixiang, Guo, Hua, Zhang, Wei, Ma, Meijuan, Zhang, Yulian, Yu, Qi, Wang, Junkui“…The STRING database and Cytoscape software were used to establish and visualize protein-protein interaction (PPI) networks and identify the key functional modules of NRDEGs. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of NRDEGs were also performed. …”
Publicado 2022
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19282por Han, Qianguang, Zhang, Xiang, Ren, Xiaohan, Hang, Zhou, Yin, Yu, Wang, Zijie, Chen, Hao, Sun, Li, Tao, Jun, Han, Zhijian, Tan, Ruoyun, Gu, Min, Ju, Xiaobing“…Then a predictive model of BPAR was established based on logistic regression of which key transcripts involved in the predictive model were further explored using functional enrichment analyses including Gene Ontology analysis (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and Gene Set Enrichment Analysis (GSEA). …”
Publicado 2022
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19283por Xia, Yiming, Huang, Xiaoling, Mo, Lidong, Wang, Chen, Fan, Weijia, Huang, Huiling“…RESULTS: There were total of 8275 proteins found, but only 35 differentially expressed proteins were identified (27 up-regulated and 8 down-regulated), and gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to predict the biological pathways and functional classification of the proteins. …”
Publicado 2022
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19284“…The results of gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) pathway analyses of the KDM5 family and its 800 co-expressed genes showed that many gene terms related to cell proliferation, migration and many carcinogenic pathways. …”
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19285por Moradi, Sharif, Kamal, Aryan, Aboulkheyr Es, Hamidreza, Farhadi, Farnoosh, Ebrahimi, Marzieh, Chitsaz, Hamidreza, Sharifi-Zarchi, Ali, Baharvand, Hossein“…The predicted gene targets were obtained using TargetScan, miRanda, and miRDB and then subjected to gene ontology analysis using Enrichr. Only GO terms with an adjusted p < 0.05 were considered statistically significant. …”
Publicado 2022
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19286“…Functional analysis for the obtained mRNAs was performed via Gene Ontology (GO) in Metascape database. Integrated bioinformatics analysis was conducted to further characterize the circRNA–miRNA–mRNA regulatory network and identify the functions of distinct circRNAs. …”
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19287“…Next, differentially expressed genes (DEGs) between circANRIL-OE cells and control cells were detected. Subsequently, Gene Ontology (GO) biological process (BP) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to explore the principal functions of the significant DEGs. …”
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19288por Wu, Rong, Dou, Xiaojie, Li, Haidong, Sun, Zhenguo, Li, Heng, Shen, Yuxin, Weng, Wei, Min, Jikang“…Single-cell transcriptomic analysis of osteosarcoma tissues was performed by using the Seurat R package, the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of differentially expressed genes was performed by using the clusterProfiler R package, and the cell–cell interaction analysis was performed by using the CellPhoneDB package. …”
Publicado 2022
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19289por Cummings, Jeffrey, Lee, Garam, Nahed, Pouyan, Kambar, Mina Esmail Zadeh Nojoo, Zhong, Kate, Fonseca, Jorge, Taghva, Kazem“…We use the Common Alzheimer's Disease Research Ontology (CADRO) to classify drug targets and mechanisms of action of drugs in the pipeline. …”
Publicado 2022
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19290por Nabergoj Makovec, Urska, Goetzinger, Catherine, Ribaut, Janette, Barnestein-Fonseca, Pilar, Haupenthal, Frederik, Herdeiro, Maria Teresa, Grant, Sean Patrick, Jácome, Cristina, Roque, Fatima, Smits, Dins, Tadic, Ivana, Dima, Alexandra L.“…Definitions of medication adherence technologies and their attributes were developed iteratively through literature review, discussions within the steering committee and ENABLE Action members, following ontology development recommendations. Three domains (product and provider information (D1), medication adherence descriptors (D2) and evaluation and implementation (D3)) branching in 13 attribute groups are proposed: product and provider information, target use scenarios, target health conditions, medication regimen, medication adherence management components, monitoring/measurement methods and targets, intervention modes of delivery, target behaviour determinants, behaviour change techniques, intervention providers, intervention settings, quality indicators and implementation indicators. …”
Publicado 2022
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19291por Cheng, Yuan, Kou, Fushun, Zhang, Xiaosi, Dai, Yi, Shi, Lei, Xie, Chune, Li, Xiaohong, Li, Junxiang“…The protein–protein interaction (PPI) network was constructed to screen the core coincident targets. Then, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed. …”
Publicado 2022
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19292por Wang, Mingbo, Huang, Chao, Gao, Wenda, Zhu, Yonggang, Zhang, Fan, Li, Zhenhua, Tian, Ziqiang“…Gene expression profiles in combination with gene ontology (GO) and KEGG pathway analysis revealed that MAP2K1 (MEK1) gene and ERK-MMP pathway were implicated in ESCC progression. …”
Publicado 2022
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19293por Liu, Xin-Yuan, Zhang, Tian-Qi, Zhang, Qi, Guo, Jing, Zhang, Peng, Mao, Tao, Tian, Zi-Bin, Zhang, Cui-Ping, Li, Xiao-Yu“…We also predicted the target mRNAs of the differentially expressed lncRNAs through bioinformatics analysis and analyzed targeting correlations between three differentially co-expressed lncRNAs and mRNAs (lncRNA H19, LINC00895, and lnc-SRGAP2C-16). Gene Ontology and Kyoto Encyclopedia of Genes and Genomes databases were used to explore the functions of target mRNAs of differentially expressed lncRNAs. …”
Publicado 2022
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19294“…These bacteria were systematically modeled and analyzed using the NCBI Taxonomy ontology. Ten species, including 6 enriched species (e.g., Bacteroides fragilis, Fusobacterium nucleatum and Streptococcus equinus) and 4 depleted species (e.g., Bacteroides uniformis and Streptococcus thermophilus) were chosen for follow-up comparative genomics analysis. …”
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19295“…R software was used to screen differentially expressed genes (DEGs), Gene Ontology (GO) functional enrichment, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. …”
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19296por Ni, Li-Ping, Sun, Hua-Ting, Wang, Ping, Wang, Juan, Zhou, Jin-Hua, Cao, Ruo-Qi, Yue, Ling, Chen, You-Guo, Shen, Fang-Rong“…Samples were then collected for tandem mass tag (TMT) labeling, high-performance liquid chromatography fractionation, and MS-based quantitative proteomics for analysis The differentially expressed proteins were quantitatively compared and identified, and Gene Ontology (GO) assessment and cluster analyses were performed. …”
Publicado 2022
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19297por Chen, Yongjie, Zhang, Runxiang, Ding, Susu, Nian, Haoyang, Zeng, Xiangyin, Liu, Honggui, Xing, Houjuan, Li, Jianhong, Bao, Jun, Li, Xiang“…Compared with the control group, 244 genes were significantly upregulated, and 96 genes were significantly downregulated in the ammonia gas group. Some genes in Gene Ontology (GO) terms were verified and showed significant differences by qRT-PCR. …”
Publicado 2022
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19298“…Differentially expressed genes (DEGs) were identified, and the Database for Annotation, Visualization, and Integrated Discovery (DAVID) was used for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. …”
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19299“…Out of 12,385 differentially expressed genes (DEGs), 330 significant DEGs (75 upregulated, 225 downregulated) were subjected to KEGG functional pathway annotation, gene ontology enrichment, STRING network analyses and manual querying of DEGs for meaningful molecular mechanisms. …”
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19300por Wang, Zhijun, Li, Yanjun, Zhu, Qianhao, Tian, Liwen, Liu, Feng, Zhang, Xinyu, Sun, Jie“…Genes differentially expressed between the MC and mock treatments of XLZ74 (6252) and SD1068 (6163) were subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses to compare the enriched GO terms and KEGG pathways between the two varieties. …”
Publicado 2022
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