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  1. 22161
    “…Among them, 29 DEGs were annotated to the gene ontology (GO) database, and the most genes were involved in the GO Biological Process. …”
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    Transcriptome and Metabonomic Analysis of Tamarix ramosissima Potassium (K(+)) Channels and Transporters in Response to NaCl Stress
  2. 22162
    “…Predicted miRNA targets were investigated by Gene Ontology enrichment analysis and validated by comparing network metrics to differentially expressed mRNA data. …”
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    Disease- and headache-specific microRNA signatures and their predicted mRNA targets in peripheral blood mononuclear cells in migraineurs: role of inflammatory signalling and oxidative stress
  3. 22163
    por Zhang, Hao, Feng, Ting
    Publicado 2022
    “…Based on the DEGs, Gene Ontology (GO) functional and pathway enrichment analyses were performed using the Enrichr web tool. …”
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    Network-Based Data Analysis Reveals Ion Channel-Related Gene Features in COVID-19: A Bioinformatic Approach
  4. 22164
    “…The largest and most significant module (marked in black_M6) was selected for further analysis. Gene Ontology (GO) analysis of the module exhibited several key biological processes associated with liver regeneration such as complement activation, IL-6 production, Wnt signaling pathway, autophagy, etc. …”
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    Identification of crucial lncRNAs and mRNAs in liver regeneration after portal vein ligation through weighted gene correlation network analysis
  5. 22165
    “…Functional analyses indicated that some DEGs were involved in the transcriptional regulation of nutrient transportation (SLC15A1, SLC5A1, and SLC3A1), cell differentiation (LGR5, HOXA5 and KLF4), cell proliferation (PLK2 and TGFB3), transcriptional regulation (JUN, FOS and ATF3), and signaling transduction (WNT10B and BMP1), suggesting that these genes were related to intestinal epithelial cell maturation and cell renewal. Gene Ontology (GO) enrichment analysis showed that the DEGs were mainly associated with binding, catalytic activity, enzyme regulator activity, and molecular transducer activity. …”
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    Transcriptome Profile Analysis of Intestinal Upper Villus Epithelial Cells and Crypt Epithelial Cells of Suckling Piglets
  6. 22166
    “…The Limma package in R was used to identify lncRNAs, circRNAs, and mRNAs. Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses, protein-protein interaction (PPI) network creation, and module generation were performed for differentially expressed mRNAs. …”
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    Identification of potential biomarkers and pathways associated with carotid atherosclerotic plaques in type 2 diabetes mellitus: A transcriptomics study
  7. 22167
    “…We collected and reviewed 106 individuals with IDDAM, including 36 individuals not previously published, thus enabling thorough genotype–phenotype analyses, involving the CHD8 mutation spectrum, characterization of the CHD8 DNA methylation episignature, and the systematic analysis of phenotypes collected in Human Phenotype Ontology (HPO). We identified 29 unique nonsense, 25 frameshift, 24 missense, and 12 splice site variants. …”
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    The phenotypic spectrum and genotype-phenotype correlations in 106 patients with variants in major autism gene CHD8
  8. 22168
    “…METHODS: Microarray dataset for blood was obtained from the Gene Expression Omnibus (GEO) database of GSE63060 to conduct differentially expressed genes (DEGs) analysis by R software limma. Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and Gene set enrichment analysis (GSEA) were conducted. …”
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    Bioinformatics analysis of diagnostic biomarkers for Alzheimer's disease in peripheral blood based on sex differences and support vector machine algorithm
  9. 22169
    “…The target genes of dysregulated tsRNAs were predicted and the biological effects and potential signaling pathways of these target genes were explored by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. …”
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    RNA‐sequencing reveals the expression profiles of tsRNAs and their potential carcinogenic role in cholangiocarcinoma
  10. 22170
    “…Although we did not find enriched gene ontology (GO) categories directly related to meiosis, we found that GO categories in membrane, localization, proteolysis, energy processes were up-regulated in CML228, while chromatin remodeling, epigenetic regulation, and cell cycle related processes including meiosis related cell cycle processes were down-regulated in CML228. …”
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    Comparison of meiotic transcriptomes of three maize inbreds with different origins reveals differences in cell cycle and recombination
  11. 22171
    “…Potential pathways and upstream regulators were identified via Gene Ontology (GO) and Ingenuity Pathway Analysis (IPA). …”
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    Transcriptomes of Clusterin- and S100B-transfected neuronal cells elucidate protective mechanisms against hypoxia and oxidative stress in the hooded seal (Cystophora cristata) brain
  12. 22172
    “…Analyses of differentially expressed genes (DEG), gene ontology (GO), and interferon-stimulated gene (ISG) score were also conducted. …”
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    Blood transcriptomics to facilitate diagnosis and stratification in pediatric rheumatic diseases – a proof of concept study
  13. 22173
    “…Chisq.test, Fisher.test, Wilcoxon-Mann-Whitney test and logistic regression were used to analyze the relationship of clinical characteristics with SELENBP1 expression. Then Gene ontology/ Kyoto encyclopedia of genes and genomes (GO/KEGG), Gene set enrichment analysis (GSEA) enrichment analysis to clarify bio-processes and signaling pathways. …”
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    Tumor microenvironment-related gene selenium-binding protein 1 (SELENBP1) is associated with immunotherapy efficacy and survival in colorectal cancer
  14. 22174
    “…The lncRNA-miRNA-mRNA regulatory network was visualized with Cytoscape v3.4.0. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was performed using DAVID v6.8. …”
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    Prognostic value of lncRNAs related to fatty acid metabolism in lung adenocarcinoma and their correlation with tumor microenvironment based on bioinformatics analysis
  15. 22175
    “…The miRNAs, miR150, miR196a-2, miR7b, miR652, miR146, miR10b, miR379, miR122a, miR27a, miR127 and miR328 were upregulated, which negatively regulate the spermatid differentiation. Gene ontology analysis revealed that the majority of downregulated miRNAs belong to regulation of gene expression. …”
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    LBMON272 Chromatoid Bodies In The Regulation Of Spermatogenesis: Novel Role Of Grth
  16. 22176
    “…The computational workflow was focused on investigating differential gene expression (Salmon and DESeq2) and its association with sets of enriched biological processes (EBP)(Gene Ontology and KEGG) of cells exposed to the FSH glycoforms and the NAMs. …”
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    PMON183 Impact of Small Negative Allosteric Modulators (NAM) of the Follicle-stimulating Hormone (FSH) Receptor on the Dynamics of the Transcriptome in Rat Granulosa Cells Exposed to Different FSH Glycosylation Variants.
  17. 22177
    “…Similarities between samples were determined using Spearman Correlation and degree of similarity was visualized considering the first three Principal Components. Gene Ontology terms were identified to classify gene properties. …”
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    Gene Transcription in End Stage Ankle Osteoarthritis Differs Markedly From Knee Arthritis and Non- Arthritic Ankles
  18. 22178
    “…The global transcriptomic changes in JAK1-depleted KLE cells were investigated using RNA-Seq. Gene Ontology (GO) Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were used to identify the most significant pathways that were altered in JAK1-depleted KLE cells. …”
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    JAK1 inactivation promotes proliferation and migration of endometrial cancer cells via upregulating the hypoxia-inducible factor signaling pathway
  19. 22179
    “…Genes involved in tryptophan metabolism and lysine degradation KEGG pathways, and those with Gene Ontology (GO) annotations related to the organization of the extracellular matrix, cell adhesion, and positive regulation of synaptic transmission were upregulated. …”
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    Neuroinflammation regulates the balance between hippocampal neuron death and neurogenesis in an ex vivo model of thiamine deficiency
  20. 22180
    “…Calibration curves, decision curve analysis (DCA), and clinical impact curve (CIC) were used to improve the clinical applicability of the prognostic signature. Gene Ontology (GO) and KEGG pathway enrichment analyses of DEGs in the high- and low-risk groups were performed. …”
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    Construction of a novel choline metabolism-related signature to predict prognosis, immune landscape, and chemotherapy response in colon adenocarcinoma
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