Search alternatives:
point decrease » point increase (Expand Search)
ng decrease » nn decrease (Expand Search), _ decrease (Expand Search), gy decreased (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
5 point » _ point (Expand Search)
point decrease » point increase (Expand Search)
ng decrease » nn decrease (Expand Search), _ decrease (Expand Search), gy decreased (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
5 point » _ point (Expand Search)
-
15221
Image2_Total flavonoids extracted from Penthorum chinense Pursh mitigates CCl4-induced hepatic fibrosis in rats via inactivation of TLR4-MyD88-mediated NF-κB pathways and regulatio...
Published 2023“…Subsequently, rats were randomly assigned to a control group (Control), a carbon tetrachloride (CCl<sub>4</sub>)-induced hepatic fibrosis model group (Model), a positive control group [0.2 mg/(kg∙day)] of Colchicine), and three TFPCP treatment groups [50, 100, and 150 mg/(kg∙day)]. …”
-
15222
Overproduction of ClpX delays growth and cell division of <i>M. tuberculosis</i>.
Published 2010“…<i>M. tuberculosis</i> strains with elevated (ClpX) or decreased ClpX levels (asClpX) were grown in broth in the presence of 100 ng/ml anhydrotetracycline. …”
-
15223
Lack of tau prevents impaired adult hippocampal progenitor cell proliferation in AICD-Tg mice.
Published 2016“…Compared to wild-type (left) there is a significant decrease in the number of DCX+ cells in the SGZ of AICD-Tg mice (right). …”
-
15224
Adult RGC puromycin concentration-response curve after 7 DIV.
Published 2020“…<p>Varying treatment concentrations of puromycin (1, 10, 100, 1,000, 10,000ng/mL) decreased RGC viability in a concentration-dependent manner. …”
-
15225
TGFβ signaling promotes NDR1 turnover.
Published 2013“…TGFβ treatment decreased the protein abundance of NDR1 in NMuMG cells. …”
-
15226
Other glycines substitutions that destabilize BH4-Bcl-2’s
Published 2013“…Both mutant peptides showed a relative decrease in α-helical conformation as assessed by spectra analysis with the CONTIN/LL deconvolution method (see provided change in α-helical percentage for each condition. …”
-
15227
Therapeutic Non-Toxic Doses of TNF Induce Significant Regression in TNFR2-p75 Knockdown Lewis Lung Carcinoma Tumor Implants
Published 2014“…<div><p>Tumor necrosis factor-alpha (TNF) binds to two receptors: TNFR1/p55-cytotoxic and TNFR2/p75-pro-survival. We have shown that tumor growth in p75 knockout (KO) mice was decreased more than 2-fold in Lewis lung carcinoma (LLCs). …”
-
15228
Endogenous SIRT1 regulates macrophage polarization <i>in vitro</i>.
Published 2012“…BMDMs from MSKO or fl/fl mice were treated with IFN-γ (100 u/ml) plus LPS (5 ng/ml) for 24 hours in (B) or treated with IL-4 (10 ng/ml) for 48 hours in (C). …”
-
15229
Effect of apigenin intake on NF-κB activation in the dorsolateral prostate of TRAMP mice.
Published 2015“…A significant decrease in NF-κB/p65 and NF-κB/p50 is observed after apigenin intake. …”
-
15230
Simulation of hypGOI expression study in VK2/E6E7 cells treated with <i>Lactobacillus acidophilus</i> NCFM.
Published 2014“…The most stable gene assessed (<i>RPLP0</i>) was used as the standard for the target fold changes, which were set at two-fold decrease (A), two-fold increase (B), five-fold decrease (C), and five-fold increase (D). …”
-
15231
Simulation of hypGOI expression study in HT-29 cells treated with <i>Lactobacillus acidophilus</i> NCFM.
Published 2014“…The most stable gene assessed (<i>PGK1</i>) was used as the standard for the target fold changes, which were set at two-fold decrease (A), two-fold increase (B), five-fold decrease (C), and five-fold increase (D). …”
-
15232
Influence of Steric and Dispersion Interactions on the Thermochemistry of Crowded (Fluoro)alkyl Compounds
Published 2023“…ConspectusAlkanes play a pivotal role in industrial, environmental, and biological processes. …”
-
15233
Model simulations of feedback induced shift of Ca-current in wild-type and mutant zebrafish.
Published 2011“…The value of was varied from 100% (A) to 10% (C) of the wild-type value <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1001107#pbio.1001107-Fahrenfort1" target="_blank">[6]</a>. …”
-
15234
Activation of AMPK prevented drugs-induced mitochondrial dysfunction.
Published 2016“…Percentages relative to respective controls were calculated. (<b>A</b>) AICAR prevented the decrease in cellular ATP in rat hepatocytes treated with acetaminophen (10mM, 24h) or diclofenac (250μM, 24h). …”
-
15235
Forests to Faucets 2.0
Published 2024“…As developed in Forests to Faucets (USFS 2011), the Important Areas for Surface Drinking Water (IMP) model can be broken down into two parts: IMPn = (PRn) * (Qn)Calculated using R, Updated September 2023IMP_RIMP, Important Areas for Surface Drinking Water (0-100 Quantiles)Calculated using R, Updated September 2023NON_FORESTAcres of non-forestPADUS and NLCDPRIVATE_FORESTAcres of private forestPADUS and NLCDPROTECTED_FORESTAcres of protected forest (State, Local, NGO, Permanent Easement)PADUS, NCED, and NLCDNFS_FORESTAcres of National Forest System (NFS) forestPADUS and NLCDFEDERAL_FORESTAcres of Other Federal forest (Non-NFS Federal)PADUS and NLCDPER_FORPRIPercent Private ForestCalculated using ArcGISPER_FORNFSPercent NFS ForestCalculated using ArcGISPER_FORPROPercent Protected (Other State, Local, NGO, Permanent Easement, NFS, and Federal) ForestCalculated using ArcGISWFP_HI_ACAcres with High and Very High Wildfire Hazard Potential (WHP)Dillon, 2018PER_WFPPercent of HU 12 with High and Very High Wildfire Hazard Potential (WHP)Dillon, 2018PER_IDRISKPercent of HU 12 that is at risk for mortality - 25% of standing live basal area greater than one inch in diameter will die over a 15- year time frame (2013 to 2027) due to insects and diseases.Krist, et Al,. 2014PERDEV_1040_45% Landuse Change 2010-2040 (low)ICLUSPERDEV_1090_45% Landuse Change 2010-2090 (low)ICLUSPERDEV_1040_85% Landuse Change 2010-2040 (high)ICLUSPERDEV_1090_85% Landuse Change 2010-2090 (high)ICLUSPER_Q40_45% Water Yield Change 2010-2040 (low) WASSI , Updated September 2023PER_Q90_45% Water Yield Change 2010-2090 (low) WASSI , Updated September 2023PER_Q40_85% Water Yield Change 2010-2040 (high) WASSI , Updated September 2023PER_Q90_85% Water Yield Change 2010-2090 (high) WASSI , Updated September 2023WFP(APCW_R * IMP_R * PER_WFP )/ 10,000Wildfire Threat to Important Surface Drinking Water Watersheds Calculated using ArcGIS, Updated September 2023IDRISK(APCW_R * IMP_R * PER_IDRISK )/ 10,000Insect & Disease Threat to Important Surface Drinking Water Watersheds Calculated using ArcGIS, Updated September 2023DEV1040_45(APCW_R * IMP_R * PERDEV_1040_45)/ 10,000 Landuse Change in Important Surface Drinking Water Watersheds 2010-2040 (low emissions) Calculated using ArcGIS, Updated September 2023DEV1090_45(APCW_R * IMP_R * PERDEV_1090_45)/ 10,000 Landuse Change in Important Surface Drinking Water Watersheds 2010-2040 (high emissions) Calculated using ArcGIS, Updated September 2023DEV1040_85(APCW_R * IMP_R * PERDEV_1040_85)/ 10,000 Landuse Change in Important Surface Drinking Water Watersheds 2010-2090 (low emissions) Calculated using ArcGIS, Updated September 2023DEV1090_85(APCW_R * IMP_R * PERDEV_1090_85)/ 10,000 Landuse Change in Important Surface Drinking Water Watersheds 2010-2090 (high emissions) Calculated using ArcGIS, Updated September 2023Q1040_45-1 * (APCW_R * IMP_R * PER_Q40_45)/ 10,000 Water Yield Decrease in Important Surface Drinking Water Watersheds 2010-2040 (low emissions) Calculated using ArcGIS, Updated September 2023Q1090_45-1 * (APCW_R * IMP_R * PER_Q90_45)/ 10,000 Water Yield Decrease in Important Surface Drinking Water Watersheds 2010-2040 (high emissions) Calculated using ArcGIS, Updated September 2023Q1040_85-1 * (APCW_R * IMP_R * PER_Q40_85)/ 10,000 Water Yield Decrease in Important Surface Drinking Water Watersheds 2010-2090 (low emissions) Calculated using ArcGIS, Updated September 2023Q1090_85-1 * (APCW_R * IMP_R * PER_Q90_85)/ 10,000 Water Yield Decrease in Important Surface Drinking Water Watersheds 2010-2090 (high emissions) Calculated using ArcGIS, Updated September 2023WFP_IMP_RWildfire Threat to Important Surface Drinking Water Watersheds (0-100 Quantiles)Calculated using R, Updated September 2023IDRISK_RInsect & Disease Threat to Important Surface Drinking Water Watersheds (0-100 Quantiles)Calculated using R, Updated September 2023DEV40_45_RLanduse Change in Important Surface Drinking Water Watersheds 2010-2040 (low emissions) (0-100 Quantiles)Calculated using R, Updated September 2023DEV40_85_RLanduse Change in Important Surface Drinking Water Watersheds 2010-2040 (high emissions) (0-100 Quantiles)Calculated using R, Updated September 2023DEV90_45_RLanduse Change in Important Surface Drinking Water Watersheds 2010-2090 (low emissions) (0-100 Quantiles)Calculated using R, Updated September 2023DEV90_85_RLanduse Change in Important Surface Drinking Water Watersheds 2010-2090 (high emissions) (0-100 Quantiles)Calculated using R, Updated September 2023Q40_45_RWater Yield Decrease in Important Surface Drinking Water Watersheds 2010-2040 (low emissions) (0-100 Quantiles)Calculated using R, Updated September 2023Q40_85_RWater Yield Decrease in Important Surface Drinking Water Watersheds 2010-2040 (high emissions) (0-100 Quantiles)Calculated using R, Updated September 2023Q90_45_RWater Yield Decrease in Important Surface Drinking Water Watersheds 2010-2090 (low emissions) (0-100 Quantiles)Calculated using R, Updated September 2023Q90_85_RWater Yield Decrease in Important Surface Drinking Water Watersheds 2010-2090 (high emissions) (0-100 Quantiles)Calculated using R, Updated September 2023RegionUS Forest Service Region numberUSFSRegionnameUS Forest Service Region nameUSFSHUC_Num_DiffThis field compares the value in column HUC12(circa 2019 wbd) with the value in HUC_12 (circa 2009 wassi)-1 = No equivalent WASSI HUC. …”
-
15236
Effect of Sonication Time on Cell Integrity and DNA Recovery from Human VEC.
Published 2011“…Samples were viewed with phase-contrast light microscopy; images were captured using QCapture Pro51 imaging software (Magnification: 100X). DNA was extracted via PCIA; concentrations were determined using a NanoDrop then graphed as a percentage of the total recovered per sonication time point (<b>B</b>). …”
-
15237
Imaging of Tryptophan Uptake and Exchange with FLIPW-CTYT in Human Oral Carcinoma KB Cells
Published 2007“…<p>(A) Perfusion of KB cells with various concentrations l-tryptophan (L-Trp) and 100 μM l-histidine (L-His) in Tyrode's buffer. …”
-
15238
GSNO alters human fibrin fiber density and fiber diameter.
Published 2012“…Panel C contained abnormal fibrin clusters with numerous thin diameter fibers protruding from a high intensity core. They decreased the average fiber diameter and shifted the expected density-diameter relationship panel F, point C (2.5 mM GSNO). …”
-
15239
NUP-1 is necessary for cell growth and maintenance of nuclear architecture.
Published 2012“…Bar: 5 µm. (D) Nuclei with abnormal extensions (blebbing) and with diffuse boundaries were examined over a time course of NUP-1 RNAi induction in BSF cells. 200 cells were scored for each time point. …”
-
15240
DataSheet_1_Growth and fatty acid distribution over lipid classes in Nannochloropsis oceanica acclimated to different temperatures.docx
Published 2023“…Acclimation to low temperatures triggered a decrease in absorption cross section and photosynthesis rates with a tipping point at 17°C. …”