Showing 1,261 - 1,280 results of 105,872 for search '(( 12 mean decrease ) OR ( 5 ((((point decrease) OR (fold decrease))) OR (a decrease)) ))', query time: 0.91s Refine Results
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    Anti-TGFβ antibody treatment decreases tumor burden in tumor-bearing mice. by Swati Biswas (73661)

    Published 2013
    “…<p><b>Panel a:</b> Representative H&E sections (5×) of tibia from tumor-bearing mice treated with control antibody (13C4) or anti-TGFβ antibody (1D11). …”
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    DTG mice have significantly decreased troponin I phosphorylation and Serca2 expression. by Sarah N. Cilvik (495882)

    Published 2013
    “…<p>(A) Representative Western blots depicting no changes in the expression of phosphorylated protein kinase A (P-PKA) and decreased expression of phosphorylated troponin I (P-TnI) and Serca2. ß-tubulin was used as a loading control. …”
  11. 1271

    SPRY4 transcript decreases for IDCs compared to normal tissue in the TCGA Breast dataset. by Ethan J. Brock (10892372)

    Published 2021
    “…<p>Data mining of the TCGA Breast dataset revealed a 1.53-fold decrease in SPRY4 mRNA expression in IDCs (n = 389) compared to non-cancerous breast tissue (n = 61). …”
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    DHT increases whereas orchidectomy decreases the weight and cross sectional area of hindlimb muscles. by Young-Eun Yoo (323357)

    Published 2013
    “…<b>A:</b> In WT mice, DHT increased the GN weight by 7% (212.4±8.8 mg), whereas orchidectomy decreased it by 14% (171.4±9.0 mg) compared with control WT mice (198.4±5.5 mg). …”
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    Quantitation demonstrates the overlap of WFA ‘patches’ and striosomes decreases during early postnatal development. by Hyunchul Lee (52763)

    Published 2013
    “…Although ‘patches’ remain overwhelmingly associated with striosomes (Student's <i>t</i>-test; P = 2.1063×10<sup>−5</sup>), the absolute area of overlap with both neostriatal subcompartments has dropped significantly by this time compared with P4 (note difference in scale for A and B; Two-way ANOVA, age and subregion as factors; F(1, 32) = 96.65, P = 3.4327×10<sup>−11</sup> across ages; F(1, 32) = 119.2, P = 2.5329×10<sup>−12</sup> across subregions; F(1, 32) = 52.2, P = 3.3113×10<sup>−8</sup> for interactions between age and subregion). …”
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