Search alternatives:
wt decrease » _ decrease (Expand Search), nn decrease (Expand Search), awd decreased (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), teer decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
50 mean » 20 means (Expand Search)
wt decrease » _ decrease (Expand Search), nn decrease (Expand Search), awd decreased (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), teer decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
50 mean » 20 means (Expand Search)
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The correlation of the mitochondrial dynamics–related genes with Klf5 in mouse VSMCs.
Published 2020Subjects: -
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Klf5 expression is down-regulated in the ruptured human and experimental AAA.
Published 2020Subjects: -
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Stability parameters for SpGrx3 WT and mutants.
Published 2023“…Hydrophilic-to-hydrophobic substitutions were made in the aromatic cluster, in β1 (E5V and Y7F), adjacent β2 (Y32F and Y32L), both β1 and β2 (E5V/Y32L), and short α2 (R47F). …”
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Kinetic parameters of SpGrx3 WT and mutants.
Published 2023“…Hydrophilic-to-hydrophobic substitutions were made in the aromatic cluster, in β1 (E5V and Y7F), adjacent β2 (Y32F and Y32L), both β1 and β2 (E5V/Y32L), and short α2 (R47F). …”
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Alternative bounded and monotonically decreasing functions do not accurately fit the bias in the naïve SI.
Published 2022“…<p>(A-D) Fitting the naïve SI (blue) of simulated data using different types of bounded and monotonically decreasing functions with three free parameters. …”
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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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