Showing 5,721 - 5,740 results of 5,845 for search '(( significant decrease decrease ) OR ( significant ((we decrease) OR (a decrease)) ))~', query time: 0.61s Refine Results
  1. 5721

    Table 2_Comparative proteomic analysis of the telogen-to-anagen transition in cashmere goat secondary hair follicles.pdf by Xiaoyu Han (550622)

    Published 2025
    “…Histological analysis showed that telogen-phase SHFs exhibit a reduced volume, decreased dermal papilla cell (DPC) and hair matrix cell (HMC) activity, compact structure, and superficial localization in the dermis. …”
  2. 5722

    Table 5_Comparative proteomic analysis of the telogen-to-anagen transition in cashmere goat secondary hair follicles.csv by Xiaoyu Han (550622)

    Published 2025
    “…Histological analysis showed that telogen-phase SHFs exhibit a reduced volume, decreased dermal papilla cell (DPC) and hair matrix cell (HMC) activity, compact structure, and superficial localization in the dermis. …”
  3. 5723

    Table 3_Comparative proteomic analysis of the telogen-to-anagen transition in cashmere goat secondary hair follicles.pdf by Xiaoyu Han (550622)

    Published 2025
    “…Histological analysis showed that telogen-phase SHFs exhibit a reduced volume, decreased dermal papilla cell (DPC) and hair matrix cell (HMC) activity, compact structure, and superficial localization in the dermis. …”
  4. 5724

    Table 4_Comparative proteomic analysis of the telogen-to-anagen transition in cashmere goat secondary hair follicles.csv by Xiaoyu Han (550622)

    Published 2025
    “…Histological analysis showed that telogen-phase SHFs exhibit a reduced volume, decreased dermal papilla cell (DPC) and hair matrix cell (HMC) activity, compact structure, and superficial localization in the dermis. …”
  5. 5725

    Table 1_Comparative proteomic analysis of the telogen-to-anagen transition in cashmere goat secondary hair follicles.pdf by Xiaoyu Han (550622)

    Published 2025
    “…Histological analysis showed that telogen-phase SHFs exhibit a reduced volume, decreased dermal papilla cell (DPC) and hair matrix cell (HMC) activity, compact structure, and superficial localization in the dermis. …”
  6. 5726

    Table 1_Association of magnesium depletion score with serum anti-aging protein Klotho in the middle-aged and older populations.docx by Zhijie Zhuang (17669958)

    Published 2025
    “…</p>Results<p>The weighted average serum Klotho concentrations decreased significantly across MDS groups (low: 864.50, middle: 805.67, high: 755.02 pg.…”
  7. 5727

    Raw data for quantitative real-time PCR analysis. by Hyerim Park (303433)

    Published 2025
    “…Mice on prenatal day 21 were fed a protein-malnourished (P-MAL) diet with or without Lp<sup>WJL</sup> supplementation for six weeks. …”
  8. 5728

    Raw data for body and muscle weights. by Hyerim Park (303433)

    Published 2025
    “…Mice on prenatal day 21 were fed a protein-malnourished (P-MAL) diet with or without Lp<sup>WJL</sup> supplementation for six weeks. …”
  9. 5729

    Raw data for micro-CT analysis of the femur. by Hyerim Park (303433)

    Published 2025
    “…Mice on prenatal day 21 were fed a protein-malnourished (P-MAL) diet with or without Lp<sup>WJL</sup> supplementation for six weeks. …”
  10. 5730

    Image 4_Behavioral alterations in antibiotic-treated mice associated with gut microbiota dysbiosis: insights from 16S rRNA and metabolomics.tiff by Asma Bibi (12057986)

    Published 2025
    “…The KEGG enrichment analysis of serum and brain samples showed that amino acid metabolism pathways, such as tryptophan metabolism, threonine metabolism, serotonergic synapsis, methionine metabolism, and neuroactive ligand-receptor interaction, were significantly decreased in antibiotic-treated mice. Our study demonstrates that long-term antibiotic use induces gut dysbiosis and alters metabolic responses, leading to the dysregulation of brain signaling molecules and anxiety-like behavior. …”
  11. 5731

    Image 3_Behavioral alterations in antibiotic-treated mice associated with gut microbiota dysbiosis: insights from 16S rRNA and metabolomics.tif by Asma Bibi (12057986)

    Published 2025
    “…The KEGG enrichment analysis of serum and brain samples showed that amino acid metabolism pathways, such as tryptophan metabolism, threonine metabolism, serotonergic synapsis, methionine metabolism, and neuroactive ligand-receptor interaction, were significantly decreased in antibiotic-treated mice. Our study demonstrates that long-term antibiotic use induces gut dysbiosis and alters metabolic responses, leading to the dysregulation of brain signaling molecules and anxiety-like behavior. …”
  12. 5732

    Image 1_Behavioral alterations in antibiotic-treated mice associated with gut microbiota dysbiosis: insights from 16S rRNA and metabolomics.tif by Asma Bibi (12057986)

    Published 2025
    “…The KEGG enrichment analysis of serum and brain samples showed that amino acid metabolism pathways, such as tryptophan metabolism, threonine metabolism, serotonergic synapsis, methionine metabolism, and neuroactive ligand-receptor interaction, were significantly decreased in antibiotic-treated mice. Our study demonstrates that long-term antibiotic use induces gut dysbiosis and alters metabolic responses, leading to the dysregulation of brain signaling molecules and anxiety-like behavior. …”
  13. 5733

    Real-time PCR primer sequences. by Hyerim Park (303433)

    Published 2025
    “…Mice on prenatal day 21 were fed a protein-malnourished (P-MAL) diet with or without Lp<sup>WJL</sup> supplementation for six weeks. …”
  14. 5734

    Table 1_Behavioral alterations in antibiotic-treated mice associated with gut microbiota dysbiosis: insights from 16S rRNA and metabolomics.xlsx by Asma Bibi (12057986)

    Published 2025
    “…The KEGG enrichment analysis of serum and brain samples showed that amino acid metabolism pathways, such as tryptophan metabolism, threonine metabolism, serotonergic synapsis, methionine metabolism, and neuroactive ligand-receptor interaction, were significantly decreased in antibiotic-treated mice. Our study demonstrates that long-term antibiotic use induces gut dysbiosis and alters metabolic responses, leading to the dysregulation of brain signaling molecules and anxiety-like behavior. …”
  15. 5735

    Molecular basis for phenotype observed in <i>Cgulp2</i>Δ and STUbLs in <i>C</i>. <i>glabrata</i>. by Dipika Gupta (204889)

    Published 2024
    “…<p>In the presence of CgUlp2, SUMO chains are removed from the target protein whereas, in its absence, polySUMOylated proteins are accumulated and targeted for protein degradation via STUbL, primarily CgUls1. This is a key contributor to the homeostasis of the target proteins. …”
  16. 5736

    Image 2_Behavioral alterations in antibiotic-treated mice associated with gut microbiota dysbiosis: insights from 16S rRNA and metabolomics.tif by Asma Bibi (12057986)

    Published 2025
    “…The KEGG enrichment analysis of serum and brain samples showed that amino acid metabolism pathways, such as tryptophan metabolism, threonine metabolism, serotonergic synapsis, methionine metabolism, and neuroactive ligand-receptor interaction, were significantly decreased in antibiotic-treated mice. Our study demonstrates that long-term antibiotic use induces gut dysbiosis and alters metabolic responses, leading to the dysregulation of brain signaling molecules and anxiety-like behavior. …”
  17. 5737

    Table 4_Interactions between the intestinal microbiome and host genes in regulating vibriosis resistance in Cynoglossus semilaevis.xlsx by Weiwei Zheng (140828)

    Published 2025
    “…</p>Results<p>Obvious histopathological differences were observed between the resistant and susceptible groups in terms of inflammatory cells infiltration, and tissue dissociation of mucosal layer. 16S rRNA sequencing analysis indicated that Vibrio increased but Stenotrophomonas, Chryseobacterium, Delftia, and Salinivibrio decreased in the susceptible group. Compared to the control group, 1,986 differentially expressed genes (DEGs) were detected in the susceptible group, significantly more than the 310 DEGs found in the resistant group. …”
  18. 5738

    Table 5_Interactions between the intestinal microbiome and host genes in regulating vibriosis resistance in Cynoglossus semilaevis.xlsx by Weiwei Zheng (140828)

    Published 2025
    “…</p>Results<p>Obvious histopathological differences were observed between the resistant and susceptible groups in terms of inflammatory cells infiltration, and tissue dissociation of mucosal layer. 16S rRNA sequencing analysis indicated that Vibrio increased but Stenotrophomonas, Chryseobacterium, Delftia, and Salinivibrio decreased in the susceptible group. Compared to the control group, 1,986 differentially expressed genes (DEGs) were detected in the susceptible group, significantly more than the 310 DEGs found in the resistant group. …”
  19. 5739

    Table 2_Interactions between the intestinal microbiome and host genes in regulating vibriosis resistance in Cynoglossus semilaevis.xlsx by Weiwei Zheng (140828)

    Published 2025
    “…</p>Results<p>Obvious histopathological differences were observed between the resistant and susceptible groups in terms of inflammatory cells infiltration, and tissue dissociation of mucosal layer. 16S rRNA sequencing analysis indicated that Vibrio increased but Stenotrophomonas, Chryseobacterium, Delftia, and Salinivibrio decreased in the susceptible group. Compared to the control group, 1,986 differentially expressed genes (DEGs) were detected in the susceptible group, significantly more than the 310 DEGs found in the resistant group. …”
  20. 5740

    Table 1_Interactions between the intestinal microbiome and host genes in regulating vibriosis resistance in Cynoglossus semilaevis.xlsx by Weiwei Zheng (140828)

    Published 2025
    “…</p>Results<p>Obvious histopathological differences were observed between the resistant and susceptible groups in terms of inflammatory cells infiltration, and tissue dissociation of mucosal layer. 16S rRNA sequencing analysis indicated that Vibrio increased but Stenotrophomonas, Chryseobacterium, Delftia, and Salinivibrio decreased in the susceptible group. Compared to the control group, 1,986 differentially expressed genes (DEGs) were detected in the susceptible group, significantly more than the 310 DEGs found in the resistant group. …”