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Showing 13,321 - 13,340 results of 13,522 for search '(( significant ((spatial decrease) OR (small decrease)) ) OR ( significantly increased decrease ))', query time: 0.50s Refine Results
  1. 13321
    Data Sheet 1_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx

    Data Sheet 1_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx by Shengyou Song (22391068)

    Published 2025
    “…In vivo, lathyrol suppressed the mRNA and protein expression of TGF-β1, TGF-βR1, Smad2, Smad3, Smad4, and Smad9 in RCC xenografts; promoted the protein expression of Smad6; and decreased the protein expression of cyclin D1, cyclin B1, cyclin A1, cyclin E1, CDK6, CDK4, and CDK1 while increasing the expression of P16, P21, and P27.…”
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  2. 13322
    Data Sheet 5_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx

    Data Sheet 5_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx by Shengyou Song (22391068)

    Published 2025
    “…In vivo, lathyrol suppressed the mRNA and protein expression of TGF-β1, TGF-βR1, Smad2, Smad3, Smad4, and Smad9 in RCC xenografts; promoted the protein expression of Smad6; and decreased the protein expression of cyclin D1, cyclin B1, cyclin A1, cyclin E1, CDK6, CDK4, and CDK1 while increasing the expression of P16, P21, and P27.…”
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  3. 13323
    Supplementary file 1_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.pdf

    Supplementary file 1_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.pdf by Shengyou Song (22391068)

    Published 2025
    “…In vivo, lathyrol suppressed the mRNA and protein expression of TGF-β1, TGF-βR1, Smad2, Smad3, Smad4, and Smad9 in RCC xenografts; promoted the protein expression of Smad6; and decreased the protein expression of cyclin D1, cyclin B1, cyclin A1, cyclin E1, CDK6, CDK4, and CDK1 while increasing the expression of P16, P21, and P27.…”
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  4. 13324
    Supplementary file 2_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.pdf

    Supplementary file 2_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.pdf by Shengyou Song (22391068)

    Published 2025
    “…In vivo, lathyrol suppressed the mRNA and protein expression of TGF-β1, TGF-βR1, Smad2, Smad3, Smad4, and Smad9 in RCC xenografts; promoted the protein expression of Smad6; and decreased the protein expression of cyclin D1, cyclin B1, cyclin A1, cyclin E1, CDK6, CDK4, and CDK1 while increasing the expression of P16, P21, and P27.…”
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  5. 13325
    Data Sheet 9_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx

    Data Sheet 9_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx by Shengyou Song (22391068)

    Published 2025
    “…In vivo, lathyrol suppressed the mRNA and protein expression of TGF-β1, TGF-βR1, Smad2, Smad3, Smad4, and Smad9 in RCC xenografts; promoted the protein expression of Smad6; and decreased the protein expression of cyclin D1, cyclin B1, cyclin A1, cyclin E1, CDK6, CDK4, and CDK1 while increasing the expression of P16, P21, and P27.…”
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  6. 13326
    Data Sheet 6_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx

    Data Sheet 6_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx by Shengyou Song (22391068)

    Published 2025
    “…In vivo, lathyrol suppressed the mRNA and protein expression of TGF-β1, TGF-βR1, Smad2, Smad3, Smad4, and Smad9 in RCC xenografts; promoted the protein expression of Smad6; and decreased the protein expression of cyclin D1, cyclin B1, cyclin A1, cyclin E1, CDK6, CDK4, and CDK1 while increasing the expression of P16, P21, and P27.…”
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  7. 13327
    Data Sheet 8_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx

    Data Sheet 8_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx by Shengyou Song (22391068)

    Published 2025
    “…In vivo, lathyrol suppressed the mRNA and protein expression of TGF-β1, TGF-βR1, Smad2, Smad3, Smad4, and Smad9 in RCC xenografts; promoted the protein expression of Smad6; and decreased the protein expression of cyclin D1, cyclin B1, cyclin A1, cyclin E1, CDK6, CDK4, and CDK1 while increasing the expression of P16, P21, and P27.…”
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  8. 13328
    Data Sheet 1_Transcriptome analysis of historic olives reveals stress-specific biomarkers.docx

    Data Sheet 1_Transcriptome analysis of historic olives reveals stress-specific biomarkers.docx by Hamad A. Alkhatatbeh (21488114)

    Published 2025
    “…Introduction<p>Water scarcity and soil salinization are increasingly becoming limiting factors in food production, including olives, a major fruit crop in several parts of the world. …”
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  9. 13329
    Data Sheet 1_Global burden, trends and inequalities of maternal hypertensive disorders among reproductive-age women of advanced maternal age, 1990–2021: a population-based study.pdf

    Data Sheet 1_Global burden, trends and inequalities of maternal hypertensive disorders among reproductive-age women of advanced maternal age, 1990–2021: a population-based study.pd... by Xuanyu Zhao (5881895)

    Published 2025
    “…</p>Conclusion<p>Despite overall declines in MHD burden, significant disparities persist, particularly in low SDI regions. …”
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  10. 13330
    Quantifying bactericidal effects of cold Ar-CAPP against diverse <i>E. coli</i> strains.

    Quantifying bactericidal effects of cold Ar-CAPP against diverse <i>E. coli</i> strains. by Elanie F. Briggs (22103678)

    Published 2025
    “…<p><b>(A)</b> Increasing the gas flow rate and time durations of exposure of cells yields more killing by cold Ar-CAPP when applying 6 kV. …”
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  11. 13331
    Data Sheet 3_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.xlsx

    Data Sheet 3_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.xlsx by Xuefei Yang (2300221)

    Published 2025
    “…Geographically, mortality trends diverged: metropolitan areas experienced a significant decline (AAPC: −1.09*), whereas non-metropolitan areas experienced a significant increase (AAPC: 0.48*). …”
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  12. 13332
    Image 1_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif

    Image 1_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif by Xuefei Yang (2300221)

    Published 2025
    “…Geographically, mortality trends diverged: metropolitan areas experienced a significant decline (AAPC: −1.09*), whereas non-metropolitan areas experienced a significant increase (AAPC: 0.48*). …”
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  13. 13333
    Image 2_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif

    Image 2_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif by Xuefei Yang (2300221)

    Published 2025
    “…Geographically, mortality trends diverged: metropolitan areas experienced a significant decline (AAPC: −1.09*), whereas non-metropolitan areas experienced a significant increase (AAPC: 0.48*). …”
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  14. 13334
    Image 5_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif

    Image 5_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif by Xuefei Yang (2300221)

    Published 2025
    “…Geographically, mortality trends diverged: metropolitan areas experienced a significant decline (AAPC: −1.09*), whereas non-metropolitan areas experienced a significant increase (AAPC: 0.48*). …”
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  15. 13335
    Image 6_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif

    Image 6_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif by Xuefei Yang (2300221)

    Published 2025
    “…Geographically, mortality trends diverged: metropolitan areas experienced a significant decline (AAPC: −1.09*), whereas non-metropolitan areas experienced a significant increase (AAPC: 0.48*). …”
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  16. 13336
    Image 3_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif

    Image 3_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif by Xuefei Yang (2300221)

    Published 2025
    “…Geographically, mortality trends diverged: metropolitan areas experienced a significant decline (AAPC: −1.09*), whereas non-metropolitan areas experienced a significant increase (AAPC: 0.48*). …”
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  17. 13337
    Data Sheet 1_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.xlsx

    Data Sheet 1_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.xlsx by Xuefei Yang (2300221)

    Published 2025
    “…Geographically, mortality trends diverged: metropolitan areas experienced a significant decline (AAPC: −1.09*), whereas non-metropolitan areas experienced a significant increase (AAPC: 0.48*). …”
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  18. 13338
    Image 4_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif

    Image 4_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.tif by Xuefei Yang (2300221)

    Published 2025
    “…Geographically, mortality trends diverged: metropolitan areas experienced a significant decline (AAPC: −1.09*), whereas non-metropolitan areas experienced a significant increase (AAPC: 0.48*). …”
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  19. 13339
    Data Sheet 2_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.xlsx

    Data Sheet 2_Esophageal cancer mortality trends in the United States: a comprehensive longitudinal study (1999–2023) using CDC WONDER data.xlsx by Xuefei Yang (2300221)

    Published 2025
    “…Geographically, mortality trends diverged: metropolitan areas experienced a significant decline (AAPC: −1.09*), whereas non-metropolitan areas experienced a significant increase (AAPC: 0.48*). …”
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  20. 13340
    Modulation of renal inflammation and tubular injury by calcitriol in patients with early diabetic kidney disease: a randomized controlled trial

    Modulation of renal inflammation and tubular injury by calcitriol in patients with early diabetic kidney disease: a randomized controlled trial by Pringgodigdo Nugroho (15460802)

    Published 2025
    “…Although UACR decreased more in the calcitriol group, the difference was not statistically significant (<i>p</i> = 0.099). …”
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