<i>NUAK</i> and <i>stv</i> genetically interact in muscle tissue. by David Brooks (5369636)

“…Areas that lack phalloidin staining (white dotted outlines) in <i>NUAK-/-</i> (J) are rescued upon the reintroduction of full length <i>NUAK cDNA</i> in muscle tissue (<i>NUAK-/-; mef2>NUAK</i>) (K). Expression of a V5-tagged Stv protein rescues <i>NUAK-/-</i> phenotypes (L), while overexpression of CG14207-V5 fails to rescue (M). …”

Impaired Myosin IIB recruitment at the growth cone of <i>TTL^−/−</i> neurons. by Séverine Marcos (265144)

“…(C, D) When cultured in the presence of 5 µM of Rac1 inhibitor, MIIB-HC still accumulated distally in wt. …”

Effect of apigenin intake on NF-κB activation in the dorsolateral prostate of TRAMP mice. by Sanjeev Shukla (106046)

“…A significant decrease in NF-κB/p65 and NF-κB/p50 is observed after apigenin intake. …”

Disrupting autophagy in <i>tti^s450</i> larvae results in the death of IECs and a reduced lifespan. by Yeliz Boglev (280342)

“…The horizontal line represents untreated WT embryos (maroon squares), vehicle-injected WT embryos (green triangles) and <i>atg5</i> MO-injected WT embryos (blue triangles). …”

c-Fos is induced in opposite directions in stathmin KO and GRPR KO mice during extinction of cued fear conditioning. by Guillaume Martel (169332)

“…<p>(<b>A</b>) and (<b>D</b>), c-Fos induction is decreased in the basolateral amygdala of stathmin KO mice (5 WT and 5 KO) whereas it is increased in GRPR KO mice (6 WT and 6 KO) compared to WT mice. …”

<i>Fmr1</i> knockout mice exhibit increased social anxiety-related behaviors during social interaction. by Marjelo A. Mines (366542)

“…Dashed lines represent median grooming times, 8.5 sec and 11 sec for WT and FX mice, respectively. …”

ADAP is indispensable for the full activation of TBK1-IRF3 for IFN-β production downstream of RIG-I in macrophages. by Yan Wang (15435)

“…<p>(A) WT and <i>Adap</i>^-/- iBMMs were either left unstimulated or stimulated with 1 μg/ml LPS or infected with SeV for 12 h. …”

<i>Irs2</i> is required for the amelioration of liver injury during DDC feeding. by Fátima Manzano-Núñez (6273674)

“…Dotted lines indicate statistically significant decrease with time. ALT, alanine transaminase; AST, aspartate transaminase; Cont, control; DDC, 3.5-diethoxycarbonyl-1.4-dihydrocollidine; Fgf7, fibroblast growth factor 7; <i>Irs2</i>, insulin receptor substrate 2; LPC, liver progenitor cell; mRNA, messenger RNA; RT-qPCR, reverse transcriptase-quantitative PCR; RU, relative unit; TBIL, total bilirubin; WT, wild type.…”

A GATA3 extension mutant cell line model is sensitive to G9A/GLP inhibition. by Barbara Mair (3097941)

“…<b>(F)</b> Western blot shows decrease of histone 3 lysine 9 dimethylation (H3K9me2) upon treatment of MCF10A control and GATA3-ext cells with BIX01294 for 2 or 5 days. …”

S1 Data - by Syed Salman Shahid (16625097)

“…The MRS based results in the ARTE10 mice showed significant decrease in glutamate (Glu) and glutamate-total creatine (Glu/tCr) ratio, compared to WT animals. …”

Heart graft rejection in Lew.1a recipients is significantly influenced by the presence of NK cells. by Oliver Beetz (6786137)

“…(B) Infiltration of allogeneic grafts of Lew wt recipients without further treatment and after NK cell depletion or NK cell injection after graft rejection. …”

Model simulations of feedback induced shift of Ca-current in wild-type and mutant zebrafish. by Lauw J. Klaassen (213346)

“…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>. …”

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). …”

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. …”

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

RSK2 deficiency increases cell vulnerability to genotoxic stress. by Han Chi Lim (439624)

“…WST1 assay indicated the cell viability decreases in RSK2 WT and KO MEFs treated with AD (0.5 µM) at indicated time scale (0–24 h). n≥8. …”

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.…”

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. …”