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d decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
ng decrease » nn decrease (Expand Search), _ decrease (Expand Search), we decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
d decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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81981
Calcium overloading upregulates RCAN1 isoform 4 expression through activation of NFAT signaling pathway.
Published 2014“…<p>(<b>A</b>) Calcium ionophore A23187 increased <i>RCAN1</i> isoform 4 mRNA expression in HEK293 cells. …”
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81982
Table_1_The fatal contribution of serine protease-related genetic variants to COVID-19 outcomes.docx
Published 2024“…</p>Results<p>According to our codominant model, the GA genotype of rs2227667 (OR=0.55; 95% CI = 0.36-0.84; p=0.006) and the AG genotype of rs2227667 (OR=0.59; 95% CI = 0.38-0.91; p=0.02) of SERPINE1 played a protective role against disease. However, the rs2227692 T allele and TT genotype SERPINE1 (OR=1.45; 95% CI = 1.11-1.91; p=0.006; OR=2.08; 95% CI = 1.22-3.57; p=0.007; respectively) were associated with a decreased risk of death. …”
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81983
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81984
Effect of exposure to JC1 and Hoechst on proliferation of cultured transformed and primary tissue cells.
Published 2017“…<p><b>A.</b> Adherent cells at a ~ 40% density were treated with 250 nM JC1 or 5 μg/ml Hoechst for 90 min in triplicates or left untreated (Control). …”
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81985
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81986
Table2_MAP3K1 Variant Causes Hyperactivation of Wnt4/β-Catenin/FOXL2 Signaling Contributing to 46,XY Disorders/Differences of Sex Development.DOCX
Published 2022“…Functional assays demonstrated that the MAP3K1<sup>R186G</sup> variant was associated with significantly decreased affinity to ubiquitin (Ub; 43–49%) and increased affinity to RhoA, which was 3.19 ± 0.18 fold, compared to MAP3K1. …”
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81987
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81988
Table1_MAP3K1 Variant Causes Hyperactivation of Wnt4/β-Catenin/FOXL2 Signaling Contributing to 46,XY Disorders/Differences of Sex Development.DOCX
Published 2022“…Functional assays demonstrated that the MAP3K1<sup>R186G</sup> variant was associated with significantly decreased affinity to ubiquitin (Ub; 43–49%) and increased affinity to RhoA, which was 3.19 ± 0.18 fold, compared to MAP3K1. …”
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81989
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81990
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81991
Machine-Learning-Assisted Synthesis of Polar Racemates
Published 2020“…Machine learning models were trained on reaction parameters to gain unbiased insight into the underlying statistical trends in each composition space. A human-interpretable decision tree shows that phase selection is driven primarily by the bpy:CuO molar ratio for reactions containing Zr or Hf, and predicts that formation of the Ti-NCS compound requires that the amount of HF present be decreased to raise the pH, which we verified experimentally. …”
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81992
Markers of osteoclast-mediated bone remodeling is reactivated in ColI(2.3)<sup>+</sup>/Rs1<sup>+</sup> cochlea.
Published 2014“…(<b>B</b>) <i>Rankl</i>, a marker for osteoclast differentiation and activity was significantly increased in ColI(2.3)<sup>+</sup>/Rs1<sup>+</sup> severe cochlea when compared to WT and moderate ColI(2.3)<sup>+</sup>/Rs1<sup>+</sup> cochlea (*, p<0.05; **, p<0.01). …”
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81993
Machine-Learning-Assisted Synthesis of Polar Racemates
Published 2020“…Machine learning models were trained on reaction parameters to gain unbiased insight into the underlying statistical trends in each composition space. A human-interpretable decision tree shows that phase selection is driven primarily by the bpy:CuO molar ratio for reactions containing Zr or Hf, and predicts that formation of the Ti-NCS compound requires that the amount of HF present be decreased to raise the pH, which we verified experimentally. …”
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81994
Replication is not required for loss of H3K4 methylation.
Published 2010“…(D) Schematic of alternative system for replication-independent erasure. …”
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81995
Machine-Learning-Assisted Synthesis of Polar Racemates
Published 2020“…Machine learning models were trained on reaction parameters to gain unbiased insight into the underlying statistical trends in each composition space. A human-interpretable decision tree shows that phase selection is driven primarily by the bpy:CuO molar ratio for reactions containing Zr or Hf, and predicts that formation of the Ti-NCS compound requires that the amount of HF present be decreased to raise the pH, which we verified experimentally. …”
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81996
Machine-Learning-Assisted Synthesis of Polar Racemates
Published 2020“…Machine learning models were trained on reaction parameters to gain unbiased insight into the underlying statistical trends in each composition space. A human-interpretable decision tree shows that phase selection is driven primarily by the bpy:CuO molar ratio for reactions containing Zr or Hf, and predicts that formation of the Ti-NCS compound requires that the amount of HF present be decreased to raise the pH, which we verified experimentally. …”
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81997
DataSheet1_Potential hepatoprotective effects of Cistanche deserticola Y.C. Ma: Integrated phytochemical analysis using UPLC-Q-TOF-MS/MS, target network analysis, and experimental...
Published 2022“…In addition, the real-time quantitative polymerase chain reaction (RT-qPCR) and Western blot indicated that ECH notably reduced the levels of interleukin 6 (IL-6) and tumor necrosis factor alpha (TNF-α), as well as the mRNA expression of TLR4, TNF-α, and IL-6, and decreased the high expression of the TLR4 protein, which in turn downregulated the myeloid differentiation factor 88 (MyD88), p-P65 and TNF-α proteins in the inflammatory model. …”
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81998
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81999
Machine-Learning-Assisted Synthesis of Polar Racemates
Published 2020“…Machine learning models were trained on reaction parameters to gain unbiased insight into the underlying statistical trends in each composition space. A human-interpretable decision tree shows that phase selection is driven primarily by the bpy:CuO molar ratio for reactions containing Zr or Hf, and predicts that formation of the Ti-NCS compound requires that the amount of HF present be decreased to raise the pH, which we verified experimentally. …”
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82000
Machine-Learning-Assisted Synthesis of Polar Racemates
Published 2020“…Machine learning models were trained on reaction parameters to gain unbiased insight into the underlying statistical trends in each composition space. A human-interpretable decision tree shows that phase selection is driven primarily by the bpy:CuO molar ratio for reactions containing Zr or Hf, and predicts that formation of the Ti-NCS compound requires that the amount of HF present be decreased to raise the pH, which we verified experimentally. …”