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Showing 541 - 560 results of 21,342 for search '(( significant decrease decrease ) OR ( ((significant green) OR (significant genes)) decrease ))', query time: 0.63s Refine Results
  1. 541
    Transcriptome analysis.

    Transcriptome analysis. by Jiahao Zheng (807470)

    Published 2024
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  2. 542
    The targeting strategies, qRT-PCR, and western bolt to verify BY-02 cells.

    The targeting strategies, qRT-PCR, and western bolt to verify BY-02 cells. by Jiahao Zheng (807470)

    Published 2024
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  3. 543
    Intracellular retention, but not shedding of NKp65 molecules containing threonine at amino acid position 131 causes decreased surface expression.

    Intracellular retention, but not shedding of NKp65 molecules containing threonine at amino acid position 131 causes decreased surface expression. by Julian Leonard Lino Heller (22049674)

    Published 2025
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  4. 544
    CaSki cells functionally express VDR and RXR.

    CaSki cells functionally express VDR and RXR. by Euclides Avila (41023)

    Published 2025
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  5. 545
    Genomic downregulation of TGF β1 production in monocytes obtained after RZV administration. Panel A. The heatmap shows 16 genes on the y axis whose accessibility significantly changed between Days 0 and 90 after vaccination (FDR p < 0.1) in 8 participants shown on the x axis. Note decreased accessibility of the <i>TGFβ1</i> gene. Panel B. The heatmap shows <i>TGFβ1</i> pseudobulk gene expression. Y-axis indicates myeloid lineage cell type (also see S10B Fig). Heatmap displays the z-score of log<sub>10</sub> [counts per million] for pseudobulked <i>TGFβ1</i> transcripts. Each donor/timepoint is a separate column, with timepoints grouped together (left: day 0; right: day 90). Panel C. Decreased secretion of TGFβ1 in culture supernatants of purified monocytes o

    Genomic downregulation of TGF β1 production in monocytes obtained after RZV administration. Panel A. The heatmap shows 16 genes on the y axis whose accessibility significantly changed between Days 0 and 90 after vaccination (FDR p < 0.1) in 8 participants shown on the x axis. Note decreased accessibility of the <i>TGFβ1</i> gene. Panel B.... by Michael J. Johnson (5818168)

    Published 2025
    “…Note decreased accessibility of the <i>TGFβ1</i> gene. Panel B. …”
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  6. 546
    Table 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  7. 547
    Table 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  8. 548
    Table 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  9. 549
    Table 8_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 8_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  10. 550
    Table 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  11. 551
    Table 6_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 6_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  12. 552
    Table 5_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 5_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  13. 553
    Table 7_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 7_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  14. 554
    Table 9_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 9_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  15. 555
    Image 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif

    Image 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  16. 556
    Image 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif

    Image 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  17. 557
    Image 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif

    Image 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  18. 558
    Image 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif

    Image 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  19. 559
    Specific primer sequences of human gut epithelial TJs and apoptosis-related genes for qPCR.

    Specific primer sequences of human gut epithelial TJs and apoptosis-related genes for qPCR. by Qi Qi Lu (17721401)

    Published 2025
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  20. 560
    Seasonal spatial-temporal trend of NDVI in burned areas across Africa (2001–2020). Percentages (%) of increases or decreases (%) based on the Mann-Kendall test and statistically significant (<i>p</i> < 0.05) and non-significant (p > 0.05) values.

    Seasonal spatial-temporal trend of NDVI in burned areas across Africa (2001–2020). Percentages (%) of increases or decreases (%) based on the Mann-Kendall test and statistically significant (<i>p</i> < 0.05) and non-significant (p > 0.05) values. by Oswaldo Maillard (20660661)

    Published 2025
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