Mostrando 20,201 - 20,220 Resultados de 23,929 Para Buscar '"Ontology"', tiempo de consulta: 0.52s Limitar resultados
  1. 20201
    “…Focusing on gene expression we found several significant messenger RNAs (mRNAs) between tumor and normal tissue and a Gene Ontology (GO) analysis revealed that these changes were mainly related to cell cycle and metabolism. …”
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  2. 20202
    “…FT3 value served as an independent predictor for neurological outcomes for which the cut-off value of FT3 was 4.38 pmol/l. Gene ontology (GO) analysis showed that the biological function of DEGs was mainly enriched in multicellur organism, neuron differentiation and cellular response to hypoxia. …”
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  3. 20203
  4. 20204
    “…Here, using an affinity purification-coupled mass spectrometry (AP-MS) strategy, 591 host proteins were identified as interactors of LASV GP. Gene ontology analysis was performed to functionally annotate these proteins, and the oligosaccharyltransferase (OST) complex was highly enriched. …”
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  5. 20205
    por Song, Wei, Fu, Tao
    Publicado 2019
    “…The R package “clusterProfiler” was used to evaluate the Gene Ontology (GO) annotations of the differentially expressed mRNAs and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. …”
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  6. 20206
    “…Three hundred forty-nine differentially expressed genes (DEGs) were screened between OC tissues and OV tissues via GEO2R and online Venn software, followed by KEGG pathway and gene ontology (GO) enrichment analysis. The enriched functions and pathways of these DEGs contain male gonad development, cellular response to transforming growth factor beta stimulus, positive regulation of transcription from RNA polymerase II promoter, calcium independent cell-cell adhesion via plasma membrane cell adhesion molecules, extracellular matrix organization, pathways in cancer, cell cycle, cell adhesion molecules, PI3K-AKT signaling pathway, and progesterone mediated oocyte maturation. …”
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  7. 20207
    “…In order to predict the potential biological functions of five-miRNA signature, target genes of these five miRNAs were analyzed by Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway and Gene Ontology (GO) enrichment analysis. The top 10 hub genes (ESR1, ADCY9, MEF2C, NRXN1, ADCY5, FGF2, KITLG, GATA1, GRIA1, KAT2B) of target genes in protein protein interaction (PPI) network were screened by string database and Cytoscape 3.6.1 (plug-in cytoHubba). …”
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  8. 20208
    “…Analysis through a protein-protein interaction (PPI) network and the Gene Ontology database was performed by using the Cytoscape and DAVID online tools, respectively. …”
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  9. 20209
    “…Differentially expressed genes were further characterized for global responses using the GEDI tool, gene networks and for Gene Ontology (GO) enrichment. Results: Differential gene expression analysis revealed only one differentially expressed gene (AT4G21560, VPS28-1 a vacuolar protein) across all gravity conditions using FDR correction (q < 0.05). …”
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  10. 20210
    “…Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was performed using the “clusterProfiler” package. Gene ontology and protein–protein interaction (PPI) networks were analyzed for the differentially expressed mRNAs using the “STRING” database. …”
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  11. 20211
    “…IMPC-specific gene expression profiles were explored using microarrays data from the Gene Expression Omnibus (GEO) database. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses were performed. …”
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  12. 20212
    “…Additionally, we also conducted analyses of gene ontology, and expression profiles in silico, allowing identification of F-box gene members potentially involved in hormone signal transduction. …”
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  13. 20213
    “…The identified proteins were annotated and analyzed by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and protein-protein interaction (PPI) networks analysis. …”
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  14. 20214
    “…RESULTS: A total of 418 differentially expressed genes (DEGs) were identified specifically in the CGN18423 response process. Gene Ontology (GO) analysis revealed that GO terms including “plasma membrane (GO_Component)”, “histidine decarboxylase activity (GO_Function)”, and “carboxylic acid metabolic process (GO_Process)”, as well as other 10 GO terms, were significantly enriched. …”
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  15. 20215
    “…Functional annotation of PHI genes was carried out using Web Gene Ontology Annotation Plot (WEGO) and was used for selecting candidate PHI genes related to cell wall degradation of G. boninense NJ3. …”
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  16. 20216
    “…Among them, 38,905 unigenes had homology with known genes, 18,239 were assigned to 54 gene ontology (GO) categories and 18,909 were assigned to 25 clusters of orthologous groups (COG) categories. …”
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  17. 20217
    “…Arginine biosynthesis was found to be the most significant pathway involved in the AIH process. During the Gene Ontology (GO) analysis, most DEPs were found to be involved in the binding, cellular, and metabolic processes. …”
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  18. 20218
    “…The selection of new potential drug targets was made by methods of NetP (DIAMOnD algorithm, enrichment analysis of KEGG pathways and biological processes of Gene Ontology) and manual expert analysis. The structures of 1976 phytomolecules from the 573 Indian medicinal plants traditionally used for the treatment of dementia and vascular diseases were used for computational estimation of their interactions with new predicted VaD-related drug targets by RevP approach based on PASS (Prediction of Activity Spectra for Substances) software. …”
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  19. 20219
    por McLean, Samuel A., Ressler, Kerry, Koenen, Karestan Chase, Neylan, Thomas, Germine, Laura, Jovanovic, Tanja, Clifford, Gari D., Zeng, Donglin, An, Xinming, Linnstaedt, Sarah, Beaudoin, Francesca, House, Stacey, Bollen, Kenneth A., Musey, Paul, Hendry, Phyllis, Jones, Christopher W., Lewandowski, Christopher, Swor, Robert, Datner, Elizabeth, Mohiuddin, Kamran, Stevens, Jennifer S., Storrow, Alan, Kurz, Michael Christopher, McGrath, Meghan E., Fermann, Gregory J., Hudak, Lauren A., Gentile, Nina, Chang, Anna Marie, Peak, David A., Pascual, Jose L., Seamon, Mark J., Sergot, Paulina, Peacock, W. Frank, Diercks, Deborah, Sanchez, Leon D., Rathlev, Niels, Domeier, Robert, Haran, John Patrick, Pearson, Claire, Murty, Vishnu P., Insel, Thomas R., Dagum, Paul, Onnela, Jukka-Pekka, Bruce, Steven E., Gaynes, Bradley N., Joormann, Jutta, Miller, Mark W., Pietrzak, Robert H., Buysse, Daniel J., Pizzagalli, Diego A., Rauch, Scott L., Harte, Steven E., Young, Larry J., Barch, Deanna M., Lebois, Lauren A. M., van Rooij, Sanne J. H., Luna, Beatriz, Smoller, Jordan W., Dougherty, Robert F., Pace, Thaddeus W. W., Binder, Elisabeth, Sheridan, John F., Elliott, James M., Basu, Archana, Fromer, Menachem, Parlikar, Tushar, Zaslavsky, Alan M., Kessler, Ronald
    Publicado 2019
    “…These limitations in classification and ontology slow the discovery of pathophysiologic mechanisms, biobehavioral markers, risk prediction tools, and preventive/treatment interventions. …”
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  20. 20220
    “…Gene set enrichment analysis for different diet-tissue combinations revealed a diverse set of pathways and gene ontology (GO) terms (two-sample t-test, FDR < 0.05). …”
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