Showing 18,001 - 18,020 results of 18,676 for search 'significantly ((((((lower decrease) OR (a decrease))) OR (nn decrease))) OR (mean decrease))', query time: 0.67s Refine Results
  1. 18001

    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. …”
  2. 18002

    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. …”
  3. 18003

    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. …”
  4. 18004

    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). …”
  5. 18005

    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).…”
  6. 18006

    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).…”
  7. 18007

    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. …”
  8. 18008

    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. …”
  9. 18009

    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. …”
  10. 18010

    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). …”
  11. 18011

    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).…”
  12. 18012

    Table 1_Evolving landscape of female cancers along with attributable risk factors in China from 1990 to 2021, and projections to 2040.xlsx by Yali Han (4676677)

    Published 2025
    “…Background<p>Female cancers pose a significant health burden in China, and this study identified and projected epidemiological trends of these cancers.…”
  13. 18013

    Data Sheet 1_Evolving landscape of female cancers along with attributable risk factors in China from 1990 to 2021, and projections to 2040.pdf by Yali Han (4676677)

    Published 2025
    “…Background<p>Female cancers pose a significant health burden in China, and this study identified and projected epidemiological trends of these cancers.…”
  14. 18014

    Data Sheet 1_Genome-wide development of SSR molecular markers for modern sugarcane cultivars.docx by Yi Xu (131145)

    Published 2025
    “…In this study, We searched for and identified SSR loci within the genomes of 14 Poaceae plants. Notably, a significant positive correlation (r = 0.958) was detected between genome size and the number of SSRs. …”
  15. 18015

    Table 2_Evolving landscape of female cancers along with attributable risk factors in China from 1990 to 2021, and projections to 2040.xlsx by Yali Han (4676677)

    Published 2025
    “…Background<p>Female cancers pose a significant health burden in China, and this study identified and projected epidemiological trends of these cancers.…”
  16. 18016

    Table 3_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).…”
  17. 18017

    Data Sheet 1_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). …”
  18. 18018

    Dynamic visualization of DNA methylation in cell cycle genes during iPSC cardiac differentiation by Ning Li (45258)

    Published 2024
    “…<p>Existing analyses with conventional assays have generated significant insights into static states of DNA methylation but were unable to visualize the dynamics of epigenetic regulation.…”
  19. 18019

    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. …”
  20. 18020

    Aquaporin and red cell O2 permeability by S. Al-Samir (20965502)

    Published 2025
    “…The permeability of human and mouse red cell membranes for oxygen”</p><p dir="ltr">Abstract It has been demonstrated that aquaporin-1 (AQP1), one of the most abundant red cell membrane proteins, constitutes a functionally important channel for CO2 in red cell membranes. …”