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point decrease » point increase (Expand Search)
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12 mean » 12 men (Expand Search), 2012 mean (Expand Search)
point decrease » point increase (Expand Search)
fold decrease » fold increase (Expand Search), fold increased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
12 mean » 12 men (Expand Search), 2012 mean (Expand Search)
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1261
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1262
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1263
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1264
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1265
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1266
Anti-TGFβ antibody treatment decreases tumor burden in tumor-bearing mice.
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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1267
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1268
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1269
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1270
DTG mice have significantly decreased troponin I phosphorylation and Serca2 expression.
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. …”
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1271
SPRY4 transcript decreases for IDCs compared to normal tissue in the TCGA Breast dataset.
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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1272
DHT increases whereas orchidectomy decreases the weight and cross sectional area of hindlimb muscles.
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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1273
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1274
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1275
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1276
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1277
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1278
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1279
Quantitation demonstrates the overlap of WFA ‘patches’ and striosomes decreases during early postnatal development.
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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1280