Showing 81,981 - 82,000 results of 82,552 for search '(( 50 ((ng decrease) OR (((a decrease) OR (mean decrease)))) ) OR ( a d decrease ))', query time: 1.59s Refine Results
  1. 81981

    Calcium overloading upregulates RCAN1 isoform 4 expression through activation of NFAT signaling pathway. by Xiulian Sun (573264)

    Published 2014
    “…<p>(<b>A</b>) Calcium ionophore A23187 increased <i>RCAN1</i> isoform 4 mRNA expression in HEK293 cells. …”
  2. 81982

    Table_1_The fatal contribution of serine protease-related genetic variants to COVID-19 outcomes.docx by Laura Edith Martínez-Gómez (18260398)

    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. …”
  3. 81983
  4. 81984

    Effect of exposure to JC1 and Hoechst on proliferation of cultured transformed and primary tissue cells. by J. Mario Wolosin (465629)

    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). …”
  5. 81985
  6. 81986

    Table2_MAP3K1 Variant Causes Hyperactivation of Wnt4/β-Catenin/FOXL2 Signaling Contributing to 46,XY Disorders/Differences of Sex Development.DOCX by Hong Chen (108084)

    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. …”
  7. 81987
  8. 81988

    Table1_MAP3K1 Variant Causes Hyperactivation of Wnt4/β-Catenin/FOXL2 Signaling Contributing to 46,XY Disorders/Differences of Sex Development.DOCX by Hong Chen (108084)

    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. …”
  9. 81989
  10. 81990
  11. 81991

    Machine-Learning-Assisted Synthesis of Polar Racemates by Matthew L. Nisbet (8703195)

    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. …”
  12. 81992

    Markers of osteoclast-mediated bone remodeling is reactivated in ColI(2.3)<sup>+</sup>/Rs1<sup>+</sup> cochlea. by Omar Akil (558393)

    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). …”
  13. 81993

    Machine-Learning-Assisted Synthesis of Polar Racemates by Matthew L. Nisbet (8703195)

    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. …”
  14. 81994

    Replication is not required for loss of H3K4 methylation. by Marta Radman-Livaja (152581)

    Published 2010
    “…(D) Schematic of alternative system for replication-independent erasure. …”
  15. 81995

    Machine-Learning-Assisted Synthesis of Polar Racemates by Matthew L. Nisbet (8703195)

    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. …”
  16. 81996

    Machine-Learning-Assisted Synthesis of Polar Racemates by Matthew L. Nisbet (8703195)

    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. …”
  17. 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... by Haichao Wang (36078)

    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. …”
  18. 81998
  19. 81999

    Machine-Learning-Assisted Synthesis of Polar Racemates by Matthew L. Nisbet (8703195)

    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. …”
  20. 82000

    Machine-Learning-Assisted Synthesis of Polar Racemates by Matthew L. Nisbet (8703195)

    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. …”