Showing 18,021 - 18,040 results of 21,342 for search '(( significance ((step decrease) OR (a decrease)) ) OR ( significant decrease decrease ))', query time: 0.55s Refine Results
  1. 18021

    Data Sheet 2_Divergent profiles of rhizosphere soil carbon and nitrogen cycling in Pinus massoniana provenances with different types of carbon storage.xlsx by Zichen Huang (6587885)

    Published 2025
    “…</p>Results<p>Our findings revealed a significant increase in the relative abundance of Acidobacteriota and Ascomycota by 23 and 61%, respectively, whereas Basidiomycota significantly decreased by 8% in the rhizosphere of P. massoniana provenances with high carbon storage compared with those with low carbon storage. …”
  2. 18022

    Table 1_Long-term oyster shell powder applications increase crop yields and control soil acidity and cadmium in red soil drylands.docx by Hao Li (31608)

    Published 2025
    “…Meanwhile, available Cd content was extracted using 0.1 M CaCl<sub>2</sub> and measured with a flame atomic absorption spectrophotometer. While all treatments showed an annual decline in peanut yield from 2013 to 2018, but oyster shell applications significantly reduced the rate of crop yield decline. …”
  3. 18023

    Data Sheet 1_PitNET tissue deconvolution: tracing normal tissue residues and immune dynamics.pdf by Mattia Dalle Nogare (22696022)

    Published 2025
    “…However, its limited ability to resolve cellular heterogeneity – particularly in samples containing residual non-tumor pituitary cells – remains a significant challenge.</p>Objective<p>We developed and validated a tissue deconvolution framework using a reference dataset derived from single-nucleus RNA sequencing (snRNA-seq) of normal pituitary tissue, aimed at estimating cellular composition in PitNETs from bulk RNA-seq data and characterizing the tumor microenvironment (TME).…”
  4. 18024

    Data Sheet 2_Uncovering the heterogeneity of NK cells on the prognosis of HCC by integrating bulk and single-cell RNA-seq data.csv 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). …”
  5. 18025

    Image 2_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). …”
  6. 18026

    Code. by Hongliang Chen (538815)

    Published 2025
    “…<div><p>Immune dysregulation is a pathogenic factor in ulcerative colitis (UC), in which mitochondrial involvement is increasingly recognized. …”
  7. 18027

    Image 4_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). …”
  8. 18028

    Image 3_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). …”
  9. 18029

    Image 1_The replication protein of duck circovirus unwinds dsDNA in an ATP-driven and metal ion-dependent manner from 3′ to 5′.pdf by Lihan Tao (20888465)

    Published 2025
    “…The results indicated that Rep had a 3′–5′ unwinding directionality, and Rep was capable of unwinding dsDNA with a 3′-overhang of not less than 1 nt. …”
  10. 18030

    Data Sheet 1_The protective effects and mechanisms of rosmarinic acid against Pseudomonas aeruginosa infection in Caenorhabditis elegans.doc by Ying Zhang (40767)

    Published 2025
    “…Introduction<p>Pseudomonas aeruginosa poses a significant risk to both the environment and organisms. …”
  11. 18031

    Data Sheet 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. …”
  12. 18032

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

    Published 2025
    “…The known fusion KANSL1-ARL17A/B occurred with a high frequency in 69% of the patients. …”
  13. 18033

    Image 5_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). …”
  14. 18034

    Data Sheet 2_PitNET tissue deconvolution: tracing normal tissue residues and immune dynamics.pdf by Mattia Dalle Nogare (22696022)

    Published 2025
    “…However, its limited ability to resolve cellular heterogeneity – particularly in samples containing residual non-tumor pituitary cells – remains a significant challenge.</p>Objective<p>We developed and validated a tissue deconvolution framework using a reference dataset derived from single-nucleus RNA sequencing (snRNA-seq) of normal pituitary tissue, aimed at estimating cellular composition in PitNETs from bulk RNA-seq data and characterizing the tumor microenvironment (TME).…”
  15. 18035

    Table 2_PitNET tissue deconvolution: tracing normal tissue residues and immune dynamics.xlsx by Mattia Dalle Nogare (22696022)

    Published 2025
    “…However, its limited ability to resolve cellular heterogeneity – particularly in samples containing residual non-tumor pituitary cells – remains a significant challenge.</p>Objective<p>We developed and validated a tissue deconvolution framework using a reference dataset derived from single-nucleus RNA sequencing (snRNA-seq) of normal pituitary tissue, aimed at estimating cellular composition in PitNETs from bulk RNA-seq data and characterizing the tumor microenvironment (TME).…”
  16. 18036

    Hesperetin attenuates ischemia/reperfusion-induced acute kidney injury by regulating ferroptosis in mice by Xiaoyu Xie (2568607)

    Published 2025
    “…Ferroptosis markers showed that hesperetin decreased levels of ACSL4 while increasing GPX4, FTH1, and SLC7A11, suggesting an anti-ferroptotic effect. …”
  17. 18037

    Raw Data. by Hongliang Chen (538815)

    Published 2025
    “…<div><p>Immune dysregulation is a pathogenic factor in ulcerative colitis (UC), in which mitochondrial involvement is increasingly recognized. …”
  18. 18038

    Table 2_Detection of fusion events by RNA sequencing in FFPE versus freshly frozen colorectal cancer tissue samples.xlsx by Maxim Sorokin (4379848)

    Published 2025
    “…The known fusion KANSL1-ARL17A/B occurred with a high frequency in 69% of the patients. …”
  19. 18039

    Table 1_DKK3 and SERPINB5 as novel serum biomarkers for gastric cancer: facilitating the development of risk prediction models for gastric cancer.docx by Yan-Yu Liu (9562262)

    Published 2025
    “…Significant biomarkers in GC patients were identified by DIA combined ELISA, including elevated Keratin 7 (KRT7) and Mammary fibrostatin (SERPINB5) (P<0.001) and decreased Dickkopf-associated protein 3 (DKK3) (P<0.001). …”
  20. 18040

    Table 1_PitNET tissue deconvolution: tracing normal tissue residues and immune dynamics.xlsx by Mattia Dalle Nogare (22696022)

    Published 2025
    “…However, its limited ability to resolve cellular heterogeneity – particularly in samples containing residual non-tumor pituitary cells – remains a significant challenge.</p>Objective<p>We developed and validated a tissue deconvolution framework using a reference dataset derived from single-nucleus RNA sequencing (snRNA-seq) of normal pituitary tissue, aimed at estimating cellular composition in PitNETs from bulk RNA-seq data and characterizing the tumor microenvironment (TME).…”