Showing 541 - 560 results of 1,128 for search '"ontology"', query time: 0.05s Refine Results
  1. 541

    Bioinformatics Analysis of Genes and Mechanisms in Postherpetic Neuralgia by Yong Qiu, Meng-Lei Hao, Xu-Tao Cheng, Zhen Hua

    Published 2020-01-01
    “…Differentially expressed genes (DEGs) were identified and analyzed by Gene Ontology. Protein-protein interaction (PPI) network was constructed. …”
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    Article
  2. 542

    Cuproptosis related lncRNA signature as a prognostic and therapeutic biomarker in osteosarcoma immunity by Ziwei Gao, Siqi Chen, Wei Ye

    Published 2025-01-01
    “…The ESTIMATE algorithm, Gene Ontology and Kyoto Encyclopaedia of Genes and Genomes were applied to explore the underlying mechanisms in the immune landscape of osteosarcoma. …”
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    Article
  3. 543

    Multiomics Integrated Analysis Identifies SLC24A2 as a Potential Link between Type 2 Diabetes and Cancer by Qin Bian, Haijun Li, Xiaoyi Wang, Tingting Liang, Kai Zhang

    Published 2022-01-01
    “…Then, overlapped differentially expressed genes (DEGs) between T2D verse control and SLC24A2-high verse SLC24A2-low were extracted and imported into weighted correlation network analysis. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and gene set enrichment analysis were used for functional enrichment analysis of DEGs. …”
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    Article
  4. 544

    Identification of retinol dehydrogenase 10 as a shared biomarker for metabolic dysfunction-associated steatotic liver disease and type 2 diabetes mellitus by Fangyu Li, Rui Li, Hongjun Deng

    Published 2025-01-01
    “…We also analyzed the enriched pathways of shared genes using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. …”
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    Article
  5. 545

    Identification of Iron Homeostasis Genes Dysregulation Potentially Involved in Retinopathy of Prematurity Pathogenicity by Microarray Analysis by Xian-qiong Luo, Chun-yi Zhang, Jia-wen Zhang, Jing-bo Jiang, Ai-hua Yin, Li Guo, Chuan Nie, Xu-zai Lu, Hua Deng, Liang Zhang

    Published 2015-01-01
    “…The one-class algorithm in significance analysis of microarray (SAM) software was used to screen the differentially expressed genes (DEGs) and quantitative RT-PCR (qRT-PCR) was conducted to validate the results. Gene Ontology was employed for functional enrichment analysis. …”
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    Article
  6. 546

    Analysis of the circadian rhythm of biological processes in mouse liver and kidney by I. N. Podkolodnyy, N. N. Tverdokhleb, O. A. Podkolodnaya

    Published 2018-01-01
    “…A statistical analysis of enrichment of Gene Ontology terms in these twelve gene groups in the liver and kidneys was perform ed.  …”
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    Article
  7. 547

    Single cell transcriptomics in blood of patients with chronic obstructive pulmonary disease by Yeonjeong Heo, Jeeyoung Kim, Seok-Ho Hong, Woo Jin Kim

    Published 2025-01-01
    “…Functional analyses were performed using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses. …”
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    Article
  8. 548

    High β-sitosterol-D-glucoside content in sweet potato varieties and its anti-breast cancer potential through multiple metastasis-associated signals by Jinyin Zhang, Lu Huang, Xiang Tang, Miao Pan, Xiaoli Ye, Xuegang Li, Hang Ma

    Published 2024-09-01
    “…Proteomic analysis of tumor tissues revealed that 127 of these proteins were upregulated and 80 were downregulated. Gene ontology and network analysis showed that regulatory proteins were mainly associated with epithelial-mesenchymal transition (EMT), myogenesis, cholesterol homeostasis, oxidative phosphorylation and reactive oxygen pathways, while Vimentin, NDUF, VDAC1, PPP2CA and SNx9 were the most significant 5 node degree genes. …”
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    Article
  9. 549

    Identification and mechanistic insights of cell senescence-related genes in psoriasis by Guiyan Deng, Cheng Xu, Dunchang Mo

    Published 2025-01-01
    “…Protein-protein interaction networks, Gene Ontology, and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted to explore the functions and pathways of these genes. …”
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    Article
  10. 550

    The Intersection of Quranic Studies and Modern Technology: A Bibliometric Analysis of Academic Publications from 2000 to 2024 by Andri Nirwana AN, Mahmudulhassan Mahmudulhassan, Mohamad Ali, Muthoifin Muthoifin, Waston Waston, Abdul Rahman Bin S. Senathirajah

    Published 2024-12-01
    “…Important phrases like “Quran,” "ontology,” and “engineering education” became crucial to narrowly targeted study projects. …”
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    Article
  11. 551

    Ginsenoside Rh2 regulates triple-negative breast cancer proliferation and apoptosis via the IL-6/JAK2/STAT3 pathway by Rumeng Ding, Quancheng Kan, Ting Wang, Ran Xiao, Yanan Song, Duolu Li

    Published 2025-01-01
    “…Additionally, ELISA, Western blot, and quantitative real-time PCR were used to further investigate the mechanisms of ginsenoside Rh2-induced apoptosis in TNBC cells.ResultsThrough network analysis, 47 common targets were identified, and Gene Ontology (GO) enrichment analysis suggested that ginsenoside Rh2 may exert therapeutic effects in TNBC by influencing apoptosis, cell proliferation, and protein kinase activity. …”
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  12. 552

    Differences in gene expression profile between vocal cord Leukoplakia and normal larynx mucosa by gene chip by Jianhua Peng, He Li, Jun Chen, Xianming Wu, Tao Jiang, Xiaoyun Chen

    Published 2018-02-01
    “…In this study, we used microarrays to investigate the aberrantly expressed lncRNAs and mRNAs in vocal cord leukoplakia and adjacent non-neoplastic tissues. Methods Gene Ontology and pathway analyses were performed to determine the significant function and pathways of the differentially expressed mRNAs. qRT-PCR was performed to further validate the expression of selected lncRNAs and mRNAs in vocal cord leukoplakia. …”
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  13. 553

    A Network-Based Approach to Explore the Mechanism and Bioactive Compounds of Erzhi Pill against Metabolic Dysfunction-Associated Fatty Liver Disease by Shaojie Huang, Fei Mu, Fei Li, Wenjun Wang, Haixia Chen, Lu Lei, Yang Ma, Yi Ding, Jingwen Wang

    Published 2020-01-01
    “…This was carried out through target prediction, protein-protein interaction (PPI) network construction, gene ontology, KEGG pathway enrichment, and molecular docking. …”
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  14. 554

    Transcriptomics reveals substance biosynthesis and transport on membranes of Listeria monocytogenes affected by antimicrobial lipopeptide brevilaterin B by Yangliu Liu, Yawei Ning, Zhou Chen, Panpan Han, Tongxin Zhi, Siting Li, Aijin Ma, Yingmin Jia

    Published 2023-07-01
    “…Transcriptomic analysis showed 1779 difference expressed genes, including 895 up-regulated and 884 down-regulated genes. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis indicated that brevilaterin B influenced multiple pathways of L. monocytogenes, including peptidoglycan biosynthesis, membrane transport (ATP-binding cassette transports, ion transport), cellular metabolism (amino acid and lipid metabolism), ATP synthesis, and activation of the stress response (quorum sensing and bacterial chemotaxis). …”
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  15. 555

    Elevated LIF and JAK-STAT activation drive severe COVID-19 in myeloma patients receiving the BCMA-CD3 bispecific antibody Elranatamab by Ziping Li, Fujing Zhang, Xianghong Jin, Junling Zhuang

    Published 2025-01-01
    “…Principal component analysis and clustering showed distinct protein expression profiles between the BiTe and PI groups. Gene Ontology (GO) analysis revealed that DEPs between the BiTe and PI groups were related to cytokine activity and leukocyte migration. …”
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  16. 556

    An Integrated Approach Exploring the Synergistic Mechanism of Herbal Pairs in a Botanical Dietary Supplement: A Case Study of a Liver Protection Health Food by Liang Chen, Chun Hu, Molly Hood, Juntao Kan, Xiaona Gan, Xue Zhang, Yi Zhang, Jun Du

    Published 2020-01-01
    “…A total of sixteen chemical constituents of White Peony and Licorice were isolated and identified, which interact with 73 liver protection-related targets. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were then performed along with network analysis. …”
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    Article
  17. 557

    Regulation of reactive oxygen species and the role of mitochondrial apoptotic-related genes in rheumatoid arthritis by Conghui Gao, Chengqiang Zhang, Lixing Wen, Gailian Zhang, Xiaoping Liu, Jie Wang, Luping Cui, Rui Li, Tingting Nie, Jiaoniu Duan, Yingying Guo

    Published 2025-01-01
    “…Urgent exploration of RA-related mitochondrial apoptosis biomarkers is needed. Gene Expression Ontology (GEO)-derived RA datasets were used to identify differentially expressed genes (DEGs) compared to normal controls, intersected with MARGs to obtain differentially expressed mitochondrial apoptosis-related genes (DE-MARGs). …”
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  18. 558

    Integrative single-cell and multi-omics analyses reveal ferroptosis-associated gene expression and immune microenvironment heterogeneity in gastric cancer by Shupeng Zhang, Zhaojin Li, Gang Hu, Hekai Chen

    Published 2025-01-01
    “…Subsequent analyses, including gene set intersection and functional enrichment, pinpointed genes implicated in ferroptosis and conducted comprehensive Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses to elucidate their biological roles. …”
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    Article
  19. 559

    circRNA Expression Profile in Dental Pulp Stem Cells during Odontogenic Differentiation by Ming Chen, Yeqing Yang, Junkai Zeng, Zilong Deng, Buling Wu

    Published 2020-01-01
    “…Based on microarray data from this study and available in the database, a ceRNA network was constructed to investigate the potential function of circRNAs during odontogenesis. In addition, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to investigate the potential correlation between signaling pathways and circRNAs. …”
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    Article
  20. 560

    Prioritization of genes associated with the pathogenesis of leukosis in cattle by N. S. Yudin, N. L. Podkolodnyy, T. A. Agarkova, E. V. Ignatieva

    Published 2019-01-01
    “…The following criteria were used to prioritize 446 genes from the catalog: (1) the gene is associated with leukemia according to a genome-wide association study; (2) the gene is associated with leukemia according to a case-control study; (3) the role of the gene in leukemia development has been studied using knockout mice; (4) protein-protein interactions exist between the gene-encoded protein and either viral particles or individual viral proteins; (5) the gene is annotated with Gene Ontology terms that are overrepresented for a given list of genes; (6) the gene participates in biological pathways from the KEGG or REACTOME databases, which are over-represented for a given list of genes; (7) the protein encoded by the gene has a high number of protein-protein interactions with proteins encoded by other genes from the catalog. …”
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