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21581“…Transcriptomics analysis revealed 167 differentially expressed genes (DEGs), of which 64 were upregulated and 103 were downregulated between the H and L groups. Gene ontology analysis showed that the DEGs were enriched in multiple biological processes and pathways that are related to adipocyte differentiation, lipid synthesis, and neutral lipid metabolism. …”
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21582por Guo, Ruiming, Dai, Jia, Xu, Hao, Zang, Suhua, Zhang, Liang, Ma, Ning, Zhang, Xin, Zhao, Lixuan, Luo, Hong, Liu, Donghai, Zhang, Jian“…Random forest (RF) was used to figure out key genes from AD and healthy shared differentially expressed genes (DEGs) and two AD subgroups after gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. …”
Publicado 2022
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21583por Davoudi, Pourya, Do, Duy Ngoc, Rathgeber, Bruce, Colombo, Stefanie M., Sargolzaei, Mehdi, Plastow, Graham, Wang, Zhiquan, Karimi, Karim, Hu, Guoyu, Valipour, Shafagh, Miar, Younes“…RESULTS: A total of 164,733 CNVs (144,517 deletions and 20,216 duplications) were identified representing 5378 CNV regions (CNVR) after merging overlapping CNVs, covering 47.3 Mb (1.9%) of the mink autosomal genome. Gene Ontology and KEGG pathway enrichment analyses of 1391 genes that overlapped CNVR revealed potential role of CNVs in a wide range of biological, molecular and cellular functions, e.g., pathways related to growth (regulation of actin cytoskeleton, and cAMP signaling pathways), behavior (axon guidance, circadian entrainment, and glutamatergic synapse), lipid metabolism (phospholipid binding, sphingolipid metabolism and regulation of lipolysis in adipocytes), and immune response (Wnt signaling, Fc receptor signaling, and GTPase regulator activity pathways). …”
Publicado 2022
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21584“…To further screen the target mRNAs, the differential mRNAs were subjected to a functional enrichment analysis based on the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. …”
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21585“…Based on C-BioPortal analysis, we speculated that amplification was the most common copy of CDK6 CNV in DLBCL. Through Gene Ontology (GO) analysis of these genes, it was found that the proteins were mainly located in the nucleus and cytoplasm. …”
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21586por He, Bin, Quan, Li-Ping, Cai, Chun-Yu, Yu, Dian-You, Yan, Wei, Wei, Qin-Jiang, Zhang, Zhen, Huang, Xian-Nan, Liu, Li“…Then, Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment pathway analysis and Gene Ontology (GO) analysis were conducted on the obtained differential genes. …”
Publicado 2022
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21587por Zhao, Jing, He, Kaiying, Du, Hongxuan, Wei, Guohua, Wen, Yuejia, Wang, Jiaqi, Zhou, Xiaochun, Wang, Jianqin“…Next, the co-expression genes expressed in the three groups of DEGs were obtained by constructing a Venn diagram. In addition, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were further analyzed the related functions and enrichment pathways of these co-expression genes. …”
Publicado 2022
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21588por Li, Meng, Wang, Yueyao, Qi, Zhongwen, Yuan, Zhuo, Lv, Shichao, Zheng, Yawei, Yan, Zhipeng, Wang, Mingyang, Fu, Huanjie, Fan, Xinbiao, Ji, Nan, Liu, Ming, Fang, Zhuyuan“…The protein-protein interaction network, Gene ontology and KEGG pathway enrichment analysis were carried out to screen the key compounds, target genes, functional annotation and pivotal pathways. …”
Publicado 2022
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21589por Zheng, Hao, Hua, Jing, Li, Hongpeng, He, Wenjuan, Chen, Xiangyu, Ji, Yingqun, Li, Qiang“…The target DEGs of m6A regulators in ECs, SMCs, fibroblasts, and Tregs were functionally annotated using the Gene Ontology (GO) functional analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. …”
Publicado 2022
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21590“…Results: Totally, 67 DE_lncRNAs and 1197 DE_mRNAs were identified, of which 130 DE_mRNAs (91 downregulated and 39 upregulated) were lncRNA-related. The gene ontology enrichment analysis showed that those down- and upregulated genes were involved in dephosphorylation and regulation of translation, respectively. …”
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21591por Qin, Jia-Xin, Liu, Xing, Wang, Xin-Lei, Wang, Guang-Yue, Liang, Qing, Dong, Yang, Pang, Kun, Hao, Lin, Xue, Liang, Zhao, Yan, Hu, Zheng-Xiang, Li, Rui, Lv, Qian, Chao, Liu, Meng, Fan-Lai, Shi, Zhen-Duo, Han, Cong-Hui“…Furthermore, we identified the differentially expressed genes (DEGs) in recurrent bladder cancer. The Gene Ontology (GO) functional enrichment analyses on DEGs and gene set enrichment analysis were performed. …”
Publicado 2022
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21592por You, Jianbin, Yang, Guoliu, Wu, Yi, Lu, Xuan, Huang, Shuyu, Chen, Qianshun, Huang, Chen, Chen, Falin, Xu, Xunyu, Chen, Liangyuan“…The results of Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses further indicated that tRF-1:29-Pro-AGG-1-M6 and tRF-55:76-Tyr-GTA-1-M2 are widely distributed and apparently enriched in several tumor-related signaling pathways. …”
Publicado 2022
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21593por Zhao, Kaiyue, Zeng, Li, Cai, Zhongdi, Liu, Mimin, Sun, Ting, Li, Zhuorong, Liu, Rui“…Five miRNAs (miR-5132-5p, miR-764-3p, miR-223-3p, miR-145-5p, and miR-122-5p), ten TFs (Mxi1, Nfatc4, Rxrg, Zfp523, Foxj2, Nkx6-1, Klf4, Klf5, Csrnp1, and Prdm6), and seven target genes (Serpine1, Nedd4l, Pxn, Col1a1, Plec, Trip12, and Tpm1) were chosen as the significant nodes to construct feed-forward loops (FFLs). Gene Ontology and pathway enrichment analysis revealed that these miRNA and TF-associated genes are mostly involved in the PI3K/Akt, neuroactive ligand–receptor interaction, calcium signaling, and Wnt signaling pathways, along with central locations around the cell membrane. …”
Publicado 2022
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21594por Xue, Sheng, Guo, Hanxu, Wei, Shibo, Song, Yuan, Huang, Junfeng, Deng, Shuo, Li, Qingwen, Li, Wenyong“…Furthermore, a 4-lncRNA signature (FIRRE, MANCR, AC103706.1, and AC018648.1) model was obtained that showed good performance in the prognosis of ccRCC. Gene Ontology (GO) analysis showed that these protein-coding genes (PCGs) were mainly enriched in ATPase activity, catalytic activity, and acting on RNA protein serine/threonine kinase activity. …”
Publicado 2022
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21595por Li, Lingfei, Si, Xiaoli, Ruan, Jie, Ni, Zhumei, Li, Xiaoqin, Sang, Hongfei, Xia, Wenqing, Huang, Jinyu, Liu, Keqin, Lu, Shan, Jiang, Lin, Shao, Anwen, Yin, Congguo“…Afterwards, a validation cohort (31 NCs versus 48 patients with ICAS-stroke) was performed by quantitative polymerase chain reaction (qPCR). Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and CircRNA–microRNA-mRNA interaction network was performed to identify potential interactions with microRNAs and pathway-deregulated circRNAs. …”
Publicado 2022
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21596por Yuan, Jianlong, Cheng, Lixiang, Li, Huijun, An, Congcong, Wang, Yuping, Zhang, Feng“…A total of 257 differentially expressed proteins (DEPs) were identified by iTRAQ, which provided a comprehensive overview on the functional protein profile changes of tuber development regulated by JA. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis indicated that low JA concentration (especially 5 μM) exhibited the promotion effects on tuber development in various cellular processes. …”
Publicado 2022
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21597por Gao, Chao, Li, Li, Jin, Xixin, Song, Xinyu, Li, Huiling, Xu, Xiaoli, Dong, Chao, Ma, Binlin“…The most enriched gene ontology (GO) terms of up-regulated differentially expressed genes are protein binding and cell membrane and of down-regulated differentially expressed genes they are ion binding, cytoplasm, and response to virus. …”
Publicado 2022
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21598“…Differentially expressed genes (DEGs) were screened using the limma package in RStudio (version 4.1.0). Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Reactome enrichment analyses of DEGs were conducted. …”
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21599por Wang, Wenjun, Liang, Qian, Zhao, Jingyu, Pan, Hong, Gao, Zhen, Fang, Liwei, Zhou, Yuan, Shi, Jun“…Subsequently, based on the median SLC25A21 expression level, patients in the TCGA-LAML cohort were divided into low- and high-expression groups. Gene ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of DEGs highlighted growth factor binding, extracellular structure organization, cytokine‒cytokine receptor interaction, etc. …”
Publicado 2022
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21600“…In the proposed method, first, we construct three feature vectors for each gene using terms from the Gene Ontology (GO) database. Then, we train a graph convolution network on these vectors using protein–protein interaction (PPI) network data to identify disease candidate genes. …”
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