Showing 64,461 - 64,480 results of 99,862 for search '(( 5 ((ppm decrease) OR (a decrease)) ) OR ( 5 ((we decrease) OR (nn decrease)) ))', query time: 1.33s Refine Results
  1. 64461

    Data Sheet 1_Bifidobacterium depletion promotes goiter via gut-thyroid axis: evidence from Mendelian randomization and experimental validation.xls by Wenyong Liao (21669332)

    Published 2025
    “…Experimental validation included: (1) establishing a propylthiouracil (PTU)-induced goiter rat model with 16S rRNA sequencing of fecal samples, (2) targeted SCFAs quantification, (3) thyroid/serum iodine measurement, (4) thyroid hormone assays, and (5) sodium-iodide symporter (NIS) protein expression analysis.…”
  2. 64462

    Baseline predictors of short-term visual outcomes after intravitreal conbercept injection for neovascular age-related macular degeneration by Peng Zhang (2071)

    Published 2022
    “…Methods: We conducted a retrospective review of 58 patients with neovascular age-related macular degeneration who were treated with intravitreal injections of conbercept 0.5 mg in routine clinical practice. …”
  3. 64463

    Effect of maternal BMI and maternal age on the fetal fraction. by Juraj Gazdarica (4780389)

    Published 2024
    “…<p>(A) Decrease in fetal fraction with increasing maternal BMI (Pearson’s correlation coefficient = -0.36, p = 1.2e - 168). …”
  4. 64464
  5. 64465

    Table1_Multi-omic data integration for the study of production, carcass, and meat quality traits in Nellore cattle.XLSX by Francisco José de Novais (12373348)

    Published 2022
    “…A total of 14 latent variables were identified: five for phenotype, three for miRNA, four for protein, and two for mRNA data. …”
  6. 64466

    Table2_Multi-omic data integration for the study of production, carcass, and meat quality traits in Nellore cattle.XLSX by Francisco José de Novais (12373348)

    Published 2022
    “…A total of 14 latent variables were identified: five for phenotype, three for miRNA, four for protein, and two for mRNA data. …”
  7. 64467

    Table3_Multi-omic data integration for the study of production, carcass, and meat quality traits in Nellore cattle.XLSX by Francisco José de Novais (12373348)

    Published 2022
    “…A total of 14 latent variables were identified: five for phenotype, three for miRNA, four for protein, and two for mRNA data. …”
  8. 64468

    DataSheet1_Multi-omic data integration for the study of production, carcass, and meat quality traits in Nellore cattle.CSV by Francisco José de Novais (12373348)

    Published 2022
    “…A total of 14 latent variables were identified: five for phenotype, three for miRNA, four for protein, and two for mRNA data. …”
  9. 64469

    Table4_Multi-omic data integration for the study of production, carcass, and meat quality traits in Nellore cattle.XLS by Francisco José de Novais (12373348)

    Published 2022
    “…A total of 14 latent variables were identified: five for phenotype, three for miRNA, four for protein, and two for mRNA data. …”
  10. 64470

    Maximal long-term growth rate depends on the frequency of signals and stress. by Markus Arnoldini (141879)

    Published 2012
    “…<p>In (<b>A</b>), we show the long-term growth rate of a genotype as a function of its rate of responsive switching, , for different values of , as predicted by the analytical model given by <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002627#pcbi.1002627.e031" target="_blank">equation (3</a>). …”
  11. 64471

    Data_Sheet_1_Determination of Pleiotropic Effect of Warfarin in VKORC1 and CYP2C9 Genotypes in Patients With Heart Valve Replacement.PDF by Huma Shafique (12855593)

    Published 2022
    “…However, a lower concentration (1.0 mg/ml) was observed with decreased warfarin dose (<5 mg/day). …”
  12. 64472

    DataSheet_10_Extracellular vesicles secreted by 3D tumor organoids are enriched for immune regulatory signaling biomolecules compared to conventional 2D glioblastoma cell systems.x... by Martina Schuster (18440214)

    Published 2024
    “…Moreover, we identified four miRNAs (miR-323a-3p, miR-382-5p, miR-370-3p, miR-134-5p) located within the DLK1-DIO3 domain, a cancer-associated genomic region, suggesting a possible importance of this region in glioblastoma progression. …”
  13. 64473

    DataSheet_6_Extracellular vesicles secreted by 3D tumor organoids are enriched for immune regulatory signaling biomolecules compared to conventional 2D glioblastoma cell systems.xl... by Martina Schuster (18440214)

    Published 2024
    “…Moreover, we identified four miRNAs (miR-323a-3p, miR-382-5p, miR-370-3p, miR-134-5p) located within the DLK1-DIO3 domain, a cancer-associated genomic region, suggesting a possible importance of this region in glioblastoma progression. …”
  14. 64474

    DataSheet_4_Extracellular vesicles secreted by 3D tumor organoids are enriched for immune regulatory signaling biomolecules compared to conventional 2D glioblastoma cell systems.xl... by Martina Schuster (18440214)

    Published 2024
    “…Moreover, we identified four miRNAs (miR-323a-3p, miR-382-5p, miR-370-3p, miR-134-5p) located within the DLK1-DIO3 domain, a cancer-associated genomic region, suggesting a possible importance of this region in glioblastoma progression. …”
  15. 64475

    DataSheet_9_Extracellular vesicles secreted by 3D tumor organoids are enriched for immune regulatory signaling biomolecules compared to conventional 2D glioblastoma cell systems.xl... by Martina Schuster (18440214)

    Published 2024
    “…Moreover, we identified four miRNAs (miR-323a-3p, miR-382-5p, miR-370-3p, miR-134-5p) located within the DLK1-DIO3 domain, a cancer-associated genomic region, suggesting a possible importance of this region in glioblastoma progression. …”
  16. 64476

    DataSheet_7_Extracellular vesicles secreted by 3D tumor organoids are enriched for immune regulatory signaling biomolecules compared to conventional 2D glioblastoma cell systems.xl... by Martina Schuster (18440214)

    Published 2024
    “…Moreover, we identified four miRNAs (miR-323a-3p, miR-382-5p, miR-370-3p, miR-134-5p) located within the DLK1-DIO3 domain, a cancer-associated genomic region, suggesting a possible importance of this region in glioblastoma progression. …”
  17. 64477

    DataSheet_1_Extracellular vesicles secreted by 3D tumor organoids are enriched for immune regulatory signaling biomolecules compared to conventional 2D glioblastoma cell systems.xl... by Martina Schuster (18440214)

    Published 2024
    “…Moreover, we identified four miRNAs (miR-323a-3p, miR-382-5p, miR-370-3p, miR-134-5p) located within the DLK1-DIO3 domain, a cancer-associated genomic region, suggesting a possible importance of this region in glioblastoma progression. …”
  18. 64478

    DataSheet_3_Extracellular vesicles secreted by 3D tumor organoids are enriched for immune regulatory signaling biomolecules compared to conventional 2D glioblastoma cell systems.xl... by Martina Schuster (18440214)

    Published 2024
    “…Moreover, we identified four miRNAs (miR-323a-3p, miR-382-5p, miR-370-3p, miR-134-5p) located within the DLK1-DIO3 domain, a cancer-associated genomic region, suggesting a possible importance of this region in glioblastoma progression. …”
  19. 64479

    DataSheet_8_Extracellular vesicles secreted by 3D tumor organoids are enriched for immune regulatory signaling biomolecules compared to conventional 2D glioblastoma cell systems.xl... by Martina Schuster (18440214)

    Published 2024
    “…Moreover, we identified four miRNAs (miR-323a-3p, miR-382-5p, miR-370-3p, miR-134-5p) located within the DLK1-DIO3 domain, a cancer-associated genomic region, suggesting a possible importance of this region in glioblastoma progression. …”
  20. 64480

    DataSheet_2_Extracellular vesicles secreted by 3D tumor organoids are enriched for immune regulatory signaling biomolecules compared to conventional 2D glioblastoma cell systems.pd... by Martina Schuster (18440214)

    Published 2024
    “…Moreover, we identified four miRNAs (miR-323a-3p, miR-382-5p, miR-370-3p, miR-134-5p) located within the DLK1-DIO3 domain, a cancer-associated genomic region, suggesting a possible importance of this region in glioblastoma progression. …”