Showing 78,681 - 78,700 results of 108,424 for search '(( 5 ((ppm decrease) OR (a decrease)) ) OR ( a ((nn decrease) OR (point decrease)) ))', query time: 1.53s Refine Results
  1. 78681
  2. 78682

    Fbxw8 is essential for morphogenesis of the Golgi apparatus in neurons. by Nadia Litterman (221903)

    Published 2011
    “…<p>(A) Granule neurons transfected at DIV2 with the U6/fbxw8-1, U6/fbxw8-2, or control U6 RNAi plasmid together with the GFP expression plasmid were fixed at DIV5 and were subjected to immunocytochemistry with the GFP and GM130 antibodies. …”
  3. 78683

    Time dependent transgenic Fas ligand (FasL) mRNA expression in human synovium by Haidi Zhang (60632)

    Published 2011
    “…Transgenic FasL mRNA was highly expressed on days 2–10 (lanes 2–5), and obviously decreased on day 20 (lane 6), indicated by the ratio of luminosity between transgenic FasL cDNA and the endogenous β-actin cDNA.…”
  4. 78684

    Ezh2 SET domain depletion caused blockade of the cellular differentiation in embryonic liver. by Hiroyuki Koike (158631)

    Published 2014
    “…<p>A: Western blot analysis for Albumin (hepatocyte marker) in the CD45<sup>−</sup> TER119<sup>−</sup> non-hematopoietic liver cells from control (Rosa26::CreER(T2)<sup>−/−</sup>;Ezh2<sup>F/F</sup> mouse) and Ezh2 KO (Ezh2 SET domain depleted mouse; Rosa26::CreER(T2)<sup>+/−</sup>;Ezh2<sup>F/F</sup> mouse) at ED 18.5 after 3 days TAM injection (TAM; ED 10.5–12.5). …”
  5. 78685

    Salinomycin inhibits HepG2 and Huh7 autophagic flux. by Johannes Klose (562050)

    Published 2014
    “…<p>HepG2 and Huh7 cells were exposed to different concentrations of Salinomycin (0.5, 2 and 8 µM) for different time points and analyzed for activity of autophagy. …”
  6. 78686

    NLaz antagonizes IIS in larvae. by Julie Hull-Thompson (264740)

    Published 2009
    “…(A) <i>NLaz<sup>CNW14/CNW14</sup></i>. (B) <i>NLaz<sup>NW5/NW5</sup></i>. …”
  7. 78687

    Table_1_Increasing planting density can improve the yield of Tartary buckwheat.docx by Qiuyue Zhou (11732108)

    Published 2023
    “…The yield of Tartary buckwheat first increased and then decreased with the increase in planting density. The yield under 14 × 10<sup>5</sup> plants·ha<sup>−1</sup> treatment increased by 68.61%, 44.82%, 11.00%, and 22.36%, respectively, relative to that under 8 × 10<sup>5</sup>, 10 × 10<sup>5</sup>, 12 × 10<sup>5</sup>, and 16 × 10<sup>5</sup> plants·ha<sup>−1</sup>treatments. …”
  8. 78688

    Supplemental Figure 3 by Lipschutz (18506103)

    Published 2024
    “…B) Relative levels of lignoceroylcarnitine and behenoylcarnitine are shown for the MDCK cell lines (Control/WT, Exoc5 KD, Exoc5 OE, and Exoc5 CTS-mut). Lignoceroylcarnitine and behenoylcarnitine are significantly decreased in Exoc5 KD and Exoc5 CTS-mut cell lines, and increased in Exoc5 OE, compared to WT cells. …”
  9. 78689

    DataSheet1_The pharmacokinetic study of tacrolimus and Wuzhi capsule in Chinese liver transplant patients.docx by Jinlong Qu (6893951)

    Published 2022
    “…We found that 1) WZC could influence the metabolism of tacrolimus, which shortened the Tmax of tacrolimus and decreased V/F and CL/F. 2) Moreover, our results showed that, in donors, the CL/F of tacrolimus were significantly lower in CYP3A5 (CYP3A5*1) expressers (decreased from 24.421 to 12.864) and non-expressers (decreased from 23.532 to 11.822) when co-administration with WZC. …”
  10. 78690

    DataSheet2_The pharmacokinetic study of tacrolimus and Wuzhi capsule in Chinese liver transplant patients.docx by Jinlong Qu (6893951)

    Published 2022
    “…We found that 1) WZC could influence the metabolism of tacrolimus, which shortened the Tmax of tacrolimus and decreased V/F and CL/F. 2) Moreover, our results showed that, in donors, the CL/F of tacrolimus were significantly lower in CYP3A5 (CYP3A5*1) expressers (decreased from 24.421 to 12.864) and non-expressers (decreased from 23.532 to 11.822) when co-administration with WZC. …”
  11. 78691

    Partial Agonist, Telmisartan, Maintains PPARγ Serine 112 Phosphorylation, and Does Not Affect Osteoblast Differentiation and Bone Mass by Vipula Kolli (561234)

    Published 2014
    “…TEL decreased <sup>S273</sup>pPPARγ and did not affect <sup>S112</sup>pPPARγ levels in a model of marrow MSC differentiation, U-33/γ2 cells. …”
  12. 78692

    Results of the SILAC-MS analysis. by Han-Chen Chiu (542985)

    Published 2014
    “…The number of ratios per bin is shown on the <i>y</i>-axis. The cut-off points for 1.5 and 2 fold (log<sub>2</sub> values of ± 0.585 and 1 respectively) increases and decreases from the median values are shown. …”
  13. 78693

    Helium-oxygen mixture: clinical applicability in an intensive care unit by Milena Siciliano Nascimento (5960942)

    Published 2018
    “…Methods This is a retrospective, non-randomized study that included patients diagnosed with bronchospasm, who received a helium-oxygen mixture at three time points (30, 60, and 120 minutes) according to the organization protocol singular, and were admitted to the intensive care unit, from January 2012 to December 2013. …”
  14. 78694

    Table3_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.xlsx by Roberto Martin-Hernandez (3661549)

    Published 2023
    “…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”
  15. 78695

    Table1_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.xlsx by Roberto Martin-Hernandez (3661549)

    Published 2023
    “…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”
  16. 78696

    DataSheet2_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.PDF by Roberto Martin-Hernandez (3661549)

    Published 2023
    “…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”
  17. 78697
  18. 78698

    DataSheet1_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.PDF by Roberto Martin-Hernandez (3661549)

    Published 2023
    “…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”
  19. 78699
  20. 78700

    DataSheet3_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.PDF by Roberto Martin-Hernandez (3661549)

    Published 2023
    “…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”