Search alternatives:
point decrease » point increase (Expand Search)
ppm decrease » _ decrease (Expand Search), pa decreased (Expand Search), 026 decrease (Expand Search)
nn decrease » _ decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
point decrease » point increase (Expand Search)
ppm decrease » _ decrease (Expand Search), pa decreased (Expand Search), 026 decrease (Expand Search)
nn decrease » _ decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
-
78681
-
78682
Fbxw8 is essential for morphogenesis of the Golgi apparatus in neurons.
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. …”
-
78683
Time dependent transgenic Fas ligand (FasL) mRNA expression in human synovium
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.…”
-
78684
Ezh2 SET domain depletion caused blockade of the cellular differentiation in embryonic liver.
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). …”
-
78685
Salinomycin inhibits HepG2 and Huh7 autophagic flux.
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. …”
-
78686
NLaz antagonizes IIS in larvae.
Published 2009“…(A) <i>NLaz<sup>CNW14/CNW14</sup></i>. (B) <i>NLaz<sup>NW5/NW5</sup></i>. …”
-
78687
Table_1_Increasing planting density can improve the yield of Tartary buckwheat.docx
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. …”
-
78688
Supplemental Figure 3
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. …”
-
78689
DataSheet1_The pharmacokinetic study of tacrolimus and Wuzhi capsule in Chinese liver transplant patients.docx
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. …”
-
78690
DataSheet2_The pharmacokinetic study of tacrolimus and Wuzhi capsule in Chinese liver transplant patients.docx
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. …”
-
78691
Partial Agonist, Telmisartan, Maintains PPARγ Serine 112 Phosphorylation, and Does Not Affect Osteoblast Differentiation and Bone Mass
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. …”
-
78692
Results of the SILAC-MS analysis.
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. …”
-
78693
Helium-oxygen mixture: clinical applicability in an intensive care unit
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. …”
-
78694
Table3_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.xlsx
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. …”
-
78695
Table1_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.xlsx
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. …”
-
78696
DataSheet2_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.PDF
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. …”
-
78697
-
78698
DataSheet1_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.PDF
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. …”
-
78699
-
78700
DataSheet3_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.PDF
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. …”