Identification of the Transcriptional Networks and the Involvement in Angiotensin II-Induced Injury after CRISPR/Cas9-Mediated Knockdown of Cyr61 in HEK293T Cells by Junjie Wang, Dongdong Fu, Soulixay Senouthai, Yan Jiang, Rentong Hu, Yanwu You

“…HEK293T cells were cultured, and Cyr61 knockdown was achieved by transfection of the CRISPR/Cas9 KO plasmid. lncRNA and mRNA microarrays were used to identify differentially expressed genes (DEGs). Gene ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to determine biofunctions and signaling pathways. …”
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Adjunctive diagnostic tool for histopathological classification of congenital mesoblastic nephroma based in molecular genetic findings by Hiroshi Hamada, Kenichi Kohashi, Takeshi Iwasaki, Mikiko Hashisako, Yuko Hino, Masahiro Fukuhara, Amane Kamouchi, Naonori Kawakubo, Tatsuro Tajiri, Yoshinao Oda

“…Results PCA revealed differences in mutation patterns between the EGFR-ITDs and NTRK fusion tumor groups. Gene ontology analysis of the highly expressed genes in the EGFR-ITDs tumor group revealed enrichment related to the mitogen-activated protein kinase (MAPK) signaling pathway. p-Mek1/2 and p-Erk1/2 immunoreactivity was significantly increased in the EGFR-ITDs tumor group (p = 0.018 and p = 0.017, respectively). …”
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Decreased Spp1 Expression in Acute Myocardial Infarction after Ischemia and Reperfusion Injury by Ling Li, Jungang Huang, Zongkai Zhao, Zhuzhi Wen, Kang Li, Tianjiao Ma, Lisui Zhang, Junmeng Zheng, Shi Liang

“…We used the GSE83472 dataset from the Gene Expression Omnibus (GEO) database to find differential RNA expression between ischemia-reperfusion tissue and control samples. In addition, Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to find the biological property of 449 RNAs from GSE83472 via the Database for Annotation, Visualization, and Integrated Discovery (DAVID). …”
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Age-related changes in DNA methylation in a sample of elderly Brazilians by Hayley Welsh, Caio M. P. F. Batalha, Weili Li, Nadja C. Souza-Pinto, Yeda A. O. Duarte, Michel S. Naslavsky, Esteban J. Parra

“…Differentially methylated regions (DMRs) were also identified using DMRcate. Gene ontology (GO) pathway enrichment analyses were performed to explore the functional significance of identified DMPs and DMRs. …”
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Aberrant Expression of JAM2 Inhibits Invasion and Migration in Lung Adenocarcinoma by Jun Chen, Yuan Cui, Zhimeng Chen, Hao Ding, Chang Li, Sheng Ju, Cheng Ding, Chun Xu, Jun Zhao, Xin Tong

“…Materials Immunohistochemistry (IHC) was performed on 37 pairs of LUAD tissues. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were conducted among co‐expression genes in different JAM2 subgroups. …”
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Transcriptome, miRNA, and degradome sequencing reveal the leaf stripe (Pyrenophora graminea) resistance genes in Tibetan hulless barley by Yue Wang, Qian Hu, Youhua Yao, Yongmei Cui, Yixiong Bai, Likun An, Xin Li, Baojun Ding, Xiaohua Yao, Kunlun Wu

“…The results showed a total of 7,669 and 5,943 differentially expressed genes (DEGs) were found in resistant and susceptible Kunlun 14 and Z1141, respectively, with 8,916 DEGs found between Kunlun 14 and Z1141. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of the 8,916 DEGs identified many significantly enriched categories and pathways, of which a plant–pathogen interaction pathway, containing a total of 102 genes (100 known genes and two novel genes), was found, that was very important for the study of the leaf stripe resistance mechanism. …”
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Identification of Potential miRNA-mRNA Regulatory Network Contributing to Parkinson’s Disease by Xi Yin, Miao Wang, Wei Wang, Tong Chen, Ge Song, Yixuan Niu, Ziying Jiang, Zhongbao Gao, Zhenfu Wang

“…Target genes of the DEmis were selected when they were predicted by three or four online databases and overlapped with DEGs from GSE100054. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were then conducted by Database for Annotation, Visualization and Integrated Discovery (DAVID) and Metascape analytic tools. …”
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TOM40 as a prognostic oncogene for oral squamous cell carcinoma prognosis by Lifei Deng, Hong Ran, Dunhui Yang, Zhen Wang, Peng Zhao, Hengjie Huang, Yongjin Wu, Peng Zhang

“…A network of genes co-expressed with TOM40 was constructed and functionally annotated by gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. …”
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Comprehensive bioinformatics analysis identifies hub genes associated with immune cell infiltration in early-onset schizophrenia by Shasha Wu, Tailian Xue, Yilin Li, Weikang Chen, Yan Ren

“…These genes were subjected to genome enrichment analysis (GSEA) and gene ontology (GO) analysis. Hub genes were identified through protein-protein interactions (PPIs) and the GeneMANIA database. …”
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Identification and Analysis of Potential Immune-Related Biomarkers in Endometriosis by Yanan He, Jixin Li, Yanjun Qu, Liyuan Sun, Xibo Zhao, Han Wu, Guangmei Zhang

“…To explore potential therapeutic targets for endometriosis, the Gene Expression Omnibus (GEO), Immunology Database and Analysis Portal (ImmPort), and TF databases were used to obtain data related to the recognition of differentially expressed genes (DEGs), differentially expressed IRGs (DEIRGs), and differentially expressed TFs (DETFs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed on the DETFs and DEIRGs. …”
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CircRNA-miRNA-mRNA regulatory network in high-altitude hypobaric hypoxia-induced hearing impairment and hearing acclimatization by Danzeng Awang, Kanzi Danzeng, Tianheng Wang, Quzong Deji, Mengting Huang, Hailong Ren, Xinzhu Liu, Binghan Zhao, Lanzi Gongga

“…The DEmRNAs in this network were functionally annotated using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses based on Metascape. …”
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Discovery of mutated oncodriver genes associated with glioblastoma originated from stem cells of subventricular zone through whole exome sequence profile analysis, and drug repurpo... by Arnob Sarker, Burhan Uddin, Reaz Ahmmed, Sabkat Mahmud, Alvira Ajadee, Md. Al Amin Pappu, Md. Abdul Aziz, Md. Nurul Haque Mollah

“…Then molecular mechanisms of GBM development were investigated by these three overexpressed driver genes through gene ontology (GO), KEGG-pathways, Gene regulatory network (GRN) and mutation analysis. …”
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Identification of novel cytoskeleton protein involved in spermatogenic cells and sertoli cells of non-obstructive azoospermia based on microarray and bioinformatics analysis by Danial Hashemi Karoii, Hossein Azizi, Maryam Darvari, Ali Qorbanee, Dawan Jamal Hawezy

“…A combined analysis of Gene Ontology (GO) and STRING, were used to predict proteins’ molecular interactions and then to recognize master pathways. …”
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Network pharmacology-based screening of the active ingredients and mechanisms of Cymbaria daurica against diabetes mellitus by Ruyu Shi, Dongxue Chen, Mingyue Ji, Baochang Zhou, Ziyan Zhang, Chunhong Zhang, Minhui Li

“…Based on data mining techniques involving topological parameters, gene ontology, and pathway enrichment, we established a compound-target, protein-protein interaction, and target-pathway network to identify central targets and pathways. …”
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THE SOLANUM TUBEROSUM KNOWLEDGE BASE: THE SECTION ON MOLECULAR-GENETIC REGULATION OF METABOLIC PATHWAYS by T. V. Ivanisenko, O. V. Saik, P. S. Demenkov, V. K. Khlestkin, E. K. Khlestkina, N A. Kolchanov, V. А. Ivanisenko

“…SOLANUM TUBEROSUM is a computer platform for complex intellectual processing of large data bodies, including (1) automatic analysis of scientific publications and databases for extraction of information on genetics, markers, breeding, diagnostics, protection and storage technologies for potato, (2) formalized representation of extracted information in the knowledge base, (3) user access to these data, (4) analysis and visualization of query results. The ontology of the SOLANUM TUBEROSUM knowledge base contains dictionaries of molecular genetic objects (proteins, genes, metabolites, microRNAs, biomarkers); phenotypic characteristics of potato varieties; potato diseases and pests; biotic/abiotic environmental factors; potato agrobiotechnologies. …”
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Transcriptome responses to Ralstonia solanacearum infection in tetraploid potato by Zhuo Chen, Shunwei Shao, Xi Zhu, Yu Zhang, Zhendong Lan, Hui Jin

“…Transcriptome sequencing reveals 659 differentially expressed genes between the two varieties, with the ethylene responsive factor family containing the most differentially expressed genes. Gene ontology and KEGG analyses provided further insights into the genetic basis and molecular mechanisms underlying plant defense against R. solanacearum disease. …”
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Identification of Anoikis-Related Genes in Chronic Kidney Disease Based on Bioinformatics Analysis Combined with Experimental Validation by Liu H, Mei M, Zhong H, Lin S, Luo J, Huang S, Zhou J

“…We aimed to establish the Anoikis-related gene signature in CKD by bioinformatics analysis.Methods: We retrieved 3 datasets from the Gene Expression Omnibus (GEO) database to obtain differentially expressed genes (DEGs), followed by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) of them, which were intersected with Anoikis-related genes (ARGs) to derive Anoikis-related differentially expressed genes (ARDEGs). …”
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Transcriptomic, histological and biochemical analyses of Macrobrachium nipponense response to acute heat stress by Xiao Wu, Yaoran Fan, Jianbin Feng, Keyi Ma, Jiale Li

“…These DEGs were significantly involved in the regulation of transcription, proteolysis, nucleus, cytoplasm, metal ion binding, and ATP binding by Gene ontology (GO) enrichment analysis. Furthermore, the DEGs in the hepatopancreas were significantly enriched in KEGG pathways including neuroactive ligand-receptor interaction, thyroid hormone synthesis, and ECM-receptor interaction. …”
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Deciphering the Transcriptional Metabolic Profile of Adipose-Derived Stem Cells During Osteogenic Differentiation and Epigenetic Drug Treatment by Giulia Gerini, Alice Traversa, Fabrizio Cece, Matteo Cassandri, Paola Pontecorvi, Simona Camero, Giulia Nannini, Enrico Romano, Francesco Marampon, Mary Anna Venneri, Simona Ceccarelli, Antonio Angeloni, Amedeo Amedei, Cinzia Marchese, Francesca Megiorni

“…<i>In silico</i> annotation and gene ontology analysis highlighted the activation of ethanol oxidation, ROS regulation, retinoic acid metabolism, and steroid hormone metabolism, as well as in the metabolism of lipids, amino acids, and nucleotides, and pinpointed potential new osteogenic drivers like AOX1 and ADH1A. …”
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Microarray Analysis Reveals a Potential Role of lncRNA Expression in 3,4-Benzopyrene/Angiotensin II-Activated Macrophage in Abdominal Aortic Aneurysm by Yingying Zhou, Jiaoni Wang, Yangjing Xue, Aili Fang, Shaoze Wu, Kaiyu Huang, Luyuan Tao, Jie Wang, Yigen Shen, Jinsheng Wang, Lulu Pan, Lei Li, Kangting Ji

“…The function of differential mRNAs was determined by pathway and Gene Ontology analysis. Eight pathways associated with inflammation were upregulated, and seven pathways including cell apoptosis were downregulated. …”
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