Activation of AMPK prevented drugs-induced mitochondrial dysfunction. by Sun Woo Sophie Kang (3280878)

“…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). …”

Mouse SPRs by simulation (black) and experiment (red). by Giovanni Caruso (161880)

Forests to Faucets 2.0 by U.S. Forest Service (17476914)

“…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. …”

Stochastic presentation of tumor resistance to apoptosis induction. by Megan Olsen (248910)

“…<p>The rescue protocols are robust, as summarized from 665 random sampled experiments. (a) A system where cancer cells ignore up to 68% of signals still results in 100% success. …”

Analysis of dd-ZFNs. by Shondra M. Pruett-Miller (374440)

“…(G) Toxicity assay for all iterations of dd-modified and unmodified ZFNs tested in the gene targeting assay relative to Sce. A value of <100% indicates decreased cell survival as compared with Sce, and demonstrates a toxic effect. …”

PIAS1 inhibits the ability of TGFβto suppress E-cadherin promoter activity. by Stuart J. Netherton (152258)

“…Lysates of NMuMG cells transfected with the E-cadherin promoter driven luciferase (E-cadherin-p-luciferase) reporter and the β-galactosidase (β-gal) expression construct together with an empty expression vector (−), or one encoding wild type PIAS1 (WT) or SUMO E3 ligase mutant PIAS1 (CS), and left untreated or incubated with 100 pM TGFβ for 48 h, were subjected to luciferase and β-galactosidase assays (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0013971#s4" target="_blank">MATERIALS and METHODS</a>). …”

Supplementary figure 1 by Cass Dedert (12837572)

“…</strong>Primary cortical neurons were incubated in Neurobasal medium containing either 25 mM (control), 50 mM, or 100 mM glucose. After 72 hours of treatment, viability showed a dose-dependent decrease as glucose concentration increased. …”

Disability worsening over two years according to domains of disability, for subjects with knee arthroplasty identified in 1999 (134 subjects) compared to the other participants (11... by Agnes Dechartres (84995)

“…</p>*<p>Worsening walking-distance limitation was defined by the decrease of a class (i.e., <100, 100–300, 300–500, 500–1000) to another.…”

FMNL3 mediates invasion of gonococcal colonies in macrophages. by Stanimir S. Ivanov (3394922)

“…<b>(D and E)</b> The Internalization index for each condition was calculated by dividing the percentage of internalized objects from infections of the knock out U937 MFs cell line by the percentage of internalized objects from infections of the parental U937 MFs, which was then multiplied by 100. Values > 100% indicate increased object internalization by the KO cell line compared to WT cells, whereas values < 100% indicate decreased object internalization by the KO cell line. …”

Effect of SRp20ΔRRM expression on poliovirus yield. by Kerry D. Fitzgerald (214008)

“…Cells expressing the deletion mutant, GFP-SRp20ΔRRM, displayed a two-log decrease in poliovirus yield (C). The observed decrease (∼100 fold) was consistent across three separate experiments, although overall titers for the GFP control between experiments ranged from ∼10⁵ to ∼10⁷ (likely due to the variability of DNA transfection efficiency). …”

The effects of the <i>p_yz</i> strength. by Yong-Jun Shin (184085)

“…<p>(A) As <i>p_yz</i> is decreased, periodic DNA repair-related fluctuation (<i>T</i> = 40 min and amplitude = 100 molecules/cell) is filtered less, so the p53 levels fluctuate more. …”

Synaptic potentiation reduces AP onset, threshold and AHPs. by Sung-Cherl Jung (261358)

“…B. Example traces upon +100 pA current injection before (black) and 30 min (red) after conditioning stimulations. …”

Intravenous injection of mAb c.8B6 does not induce allodynia. by Mickaël Terme (521478)

“…<p>(A) Intraveinous injection of either 1 mg/kg (•) or 3 mg/kg (♦)of mAb c.8B6 in Sprague-Dawley rats did not result in a decrease in mechanical thresholds. …”

OUTPATIENT ANALYTIC ASSESSMENT OF ANOREXIA NERVOSA — THE IMPORTANCE OF VENOUS BLOOD GASES by Sofia Alexandra Pereira Pires (6800096)

“…Respiratory acidosis was present in 91% in t1, 100% in t2 and 94% in t3. There was a significant decrease between t2 and t3 in mean pCO2 (57.2 versus 53.6 mmHg; p=0.009) and mean HCO3 (30.0 versus 28.8 mEq/L; p=0.023). …”

In vitro 14.7T MR T1-map images and the relative T1 values of SMCs incubated with MGd at various concentrations. by Han Wang (254423)

“…Measurement of T1 value further confirms the findings in <b>a</b>, demonstrating a linear decrease of T1 value from 0–100 ug/mL MGd, followed by a platform pattern of T1 values from 100–150 ug/mL MGd (b).…”

Analysis of ES clones by multiplex ligation-dependent probe amplification (MLPA). by Guo Ling Zhou (488153)

“…The relative peak areas of 5wt and 3wt were decreased by approximately half in target ES clones (4G02) but not in non-target ES clones (12F12). …”

Gemcitabine and ATR inhibitor synergism and effects on the cell cycle and DNA damage in U-CHCF365 and UM-Chor1 (Batch 1) by Chordoma Foundation (4391989)

“…</p><p><br></p><p dir="ltr">The following panels were treated according to panel A. The concentrations of gemcitabine and elimusertib used for U-CHCF365 were 5nM and 100nM, respectively, with those doses combined in the combination. …”

Gemcitabine and ATR inhibitor synergism and effects on the cell cycle and DNA damage in CH22 and U-CH17PII (Batch 2) by Chordoma Foundation (4391989)

“…</p><p><br></p><p dir="ltr">The following panels were treated according to panel A. The concentrations of gemcitabine and elimusertib used for CH22 were 5nM and 100nM, respectively, with those doses combined in the combination. …”

Examples of rtPCR Data Generated Using Quantified or Unquantified DNA from Specific ChIP Reactions. by Pamela D. Schoppee Bortz (199468)

“…The results illustrate three different scenarios affecting the interpretation of how PDGF-BB impacts <i>ACTA2</i> gene expression: in the first experiment (<b>A</b>) there was no effect of method (a 40% decrease in SRF interaction was detected with both methods); in the second experiment, using quantified DNA magnified the detected degree of change (a 92% versus a 50% decrease) in SRF interaction with the CArG-box region of the <i>ACTA2</i> promoter following PDGF-BB treatment (<b>B</b>) and actually reversed the results (<b>C</b>) and thus the interpretation of how PDGF-BB impacts histone 4 acetylation (a 74% decrease versus a 49% increase).…”

The metabotropic receptors linked to PLC-β4 in the LGNd were analyzed using Ca²⁺ imaging techniques. by Masayuki Ikeda (252072)

“…<p>A. Orexin-A (300 nM) and orexin-B (300 nM) failed to mobilize intracellular Ca²⁺ in the LGNd of wild-type mice. …”