Search alternatives:
mean decrease » a decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), gy decreased (Expand Search)
n decrease » _ decrease (Expand Search), a decrease (Expand Search), _ decreased (Expand Search)
g decrease » _ decrease (Expand Search), a decrease (Expand Search), gy decreased (Expand Search)
5 g » 5 mg (Expand Search)
mean decrease » a decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), gy decreased (Expand Search)
n decrease » _ decrease (Expand Search), a decrease (Expand Search), _ decreased (Expand Search)
g decrease » _ decrease (Expand Search), a decrease (Expand Search), gy decreased (Expand Search)
5 g » 5 mg (Expand Search)
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FTY720 treatment decreased tumor growth in a xenograft model of hepatoblastoma.
Published 2019“…When tumors reached an average of 150 mm<sup>3</sup>, mice were randomized to receive vehicle (ORA-Plus, 50 μL, n = 7) or FTY720 (10 mg/kg body weight/day in ORA-Plus, 50 μL, n = 7) by oral gavage for 16 days. …”
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CNP decrease mitochondrial membrane potential and induce mitochondrial fragmentation in melanoma cells.
Published 2020“…Experiments were performed in triplicate (n = 3) with analysis of 50 cells each treatment and each experiment.…”
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Alternative bounded and monotonically decreasing functions do not accurately fit the bias in the naïve SI.
Published 2022“…(E-H) Fitting the naïve SI (blue) of real data using different types of bounded and monotonically decreasing functions with three free parameters. BAE (green; G) exhibits higher fit accuracy compared to an exponential function (red; E) or a power law (magenta; F). …”
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Exposure to low CO<sub>2</sub> levels decreases ER cholesterol levels.
Published 2023“…<b>(F)</b> qPCR analysis for cholesterogenic genes from NIH3T3 cells exposed to cholesterol (50 μm) or 25-hydroxycholesterol (10 μm) under 5% or 1% CO<sub>2</sub> for 4 h (mean ± SE, <i>n</i> = 3 biological replicates per condition, ***<i>P</i> < 0.001, nonsignificant (ns), two-way ANOVA with Bonferroni’s multiple comparisons test). …”
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