Showing 18,501 - 18,520 results of 19,568 for search '(( significant ((anti decrease) OR (a decrease)) ) OR ( significantly increased decrease ))', query time: 0.62s Refine Results
  1. 18501

    Multifaceted roles of NADPH oxidases in the growth and pathogenicity of <i>Beauveria bassiana</i> by Shengan Zhu (19817727)

    Published 2024
    “…Knockout strains of single BbNoxA, BbNoxB, BbNoxR, and double BbNoxA and BbNoxB were constructed via homologous recombination, and their phenotypic characteristics were examined. …”
  2. 18502

    Table 2_Proteomic profiling of peripheral blood mononuclear cells reveals immune dysregulation and metabolic alterations in kidney transplant recipients with COVID-19.xlsx by Giuseppe G. F. Leite (18186056)

    Published 2024
    “…Recently, mass spectrometry-based proteomics has emerged as a powerful tool to shed light on a broad spectrum of dysregulated biological processes in KTRs with COVID-19. …”
  3. 18503

    Image 1_Uncovering the heterogeneity of NK cells on the prognosis of HCC by integrating bulk and single-cell RNA-seq data.jpeg by Jiashuo Li (7865036)

    Published 2025
    “…Background<p>The tumor microenvironment (TME) plays a critical role in the development, progression, and clinical outcomes of hepatocellular carcinoma (HCC). …”
  4. 18504

    Image 1_Detection of fusion events by RNA sequencing in FFPE versus freshly frozen colorectal cancer tissue samples.pdf by Maxim Sorokin (4379848)

    Published 2025
    “…The known fusion KANSL1-ARL17A/B occurred with a high frequency in 69% of the patients. …”
  5. 18505

    Digitized maps of vascular plant species distributions in Denmark in the early 20th century by Ditte Marie Christiansen (12182972)

    Published 2025
    “…<p dir="ltr"><b>Historic data are essential for quantifying changes in biodiversity and drivers thereof. A large part of such legacy data are stored undigitized in archives at e.g., natural history museums, and make up significant untapped resources for insights into past biodiversity patterns. …”
  6. 18506

    Data Sheet 1_How low can you go? Antibiotic use in Swedish dogs with gastroenteritis.pdf by Ditte Ljungquist (20446670)

    Published 2024
    “…</p>Conclusion<p>This study revealed a low level and a significantly declining trend of antibiotic use in canine gastroenteritis in Sweden, implicating a high level of awareness and compliance to antibiotic guidelines among Swedish veterinarians. …”
  7. 18507

    Data Sheet 3_How low can you go? Antibiotic use in Swedish dogs with gastroenteritis.pdf by Ditte Ljungquist (20446670)

    Published 2024
    “…</p>Conclusion<p>This study revealed a low level and a significantly declining trend of antibiotic use in canine gastroenteritis in Sweden, implicating a high level of awareness and compliance to antibiotic guidelines among Swedish veterinarians. …”
  8. 18508

    Data Sheet 2_How low can you go? Antibiotic use in Swedish dogs with gastroenteritis.pdf by Ditte Ljungquist (20446670)

    Published 2024
    “…</p>Conclusion<p>This study revealed a low level and a significantly declining trend of antibiotic use in canine gastroenteritis in Sweden, implicating a high level of awareness and compliance to antibiotic guidelines among Swedish veterinarians. …”
  9. 18509

    Ciliated sensory neurons and the insulin-like pathway mediated FEDUS. by Meiyu Ruan (19929335)

    Published 2024
    “…The seam cell division was significantly decreased in mutants that block the function of ciliated sensory neurons such as <i>daf-6(e1377)</i>, <i>xbx-1(ok279)</i>, or <i>osm-6(m201)</i>. …”
  10. 18510

    Data Sheet 1_# Language processing characteristics in normal pressure hydrocephalus: insights from eye-tracking analysis of incorrect responses.docx by Ji-Yeong Kim (3390539)

    Published 2025
    “…Also, correlation analysis was performed to examine the relationship between LRT scores and eye-tracking scores. A two-way mixed ANOVA was conducted to assess the significance of eye-tracking metrics depending on response type (correct/incorrect). …”
  11. 18511

    Data Sheet 1_Isobavachalcone ameliorates Alzheimer disease pathology by autophagy-mediated clearance of amyloid beta and inhibition of NLRP3 inflammasome in primary astrocytes and... by Dilpreet Kour (10872766)

    Published 2025
    “…Subsequent brain tissue analysis revealed that IBC upregulated autophagic proteins to reduce the brain’s amyloid beta levels, resulting in decreased expression of neuroinflammation markers.</p>Conclusion<p>IBC effectively ameliorates AD pathology through autophagy-mediated clearance of Aβ and suppressing neuroinflammation in 5x-FAD mice.…”
  12. 18512

    Table2_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

    Published 2024
    “…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”
  13. 18513

    Table13_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

    Published 2024
    “…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”
  14. 18514

    Table12_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

    Published 2024
    “…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”
  15. 18515

    Table3_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

    Published 2024
    “…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”
  16. 18516

    Table9_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

    Published 2024
    “…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”
  17. 18517

    Image1_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.tif by Yifang He (18126257)

    Published 2024
    “…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”
  18. 18518

    Table7_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

    Published 2024
    “…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”
  19. 18519

    Table6_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

    Published 2024
    “…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”
  20. 18520

    Table11_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

    Published 2024
    “…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”