Fig 5 - by Pierre Bauvin (18154818)

LD- and haplotype-based measures of epistasis identify a narrow time window of epistasis detectability. by Gabriele Pedruzzi (5753792)

Detection of epistasis is confined in a time window whose width is controlled by the mean selection coefficient. by Gabriele Pedruzzi (5753792)

Cyclosporine Inhibits a Direct Interaction between Cyclophilins and Hepatitis C NS5A by Fiona Fernandes (251389)

“…Mutations in NS5A alone conferred decreased CsA susceptibility regardless of NS5B mutations.…”

Hypoxia induced decreases in dendritic spine density, length, soma size and volume of the apical and basal branches of CA1 and CA3 pyramidal neurons. by Chun-Sing Lam (695733)

Mutation of four arginine residues in P34 leads to a decrease in binding between P34 and L5. by Anyango D. Kamina (4034165)

Plasma DEX concentrations in C57BL/6 VD₃ sufficient and deficient mice on a discontinuous DEX regimen. by Kavya Annu (11587215)

Induction of duodenal and hepatic Cyps in VD₃ deficient mice after DEX treatment. by Kavya Annu (11587215)

Dasatinib oral gavage PK raw data. by Kavya Annu (11587215)

Overview of study procedures. by Matthew G. Vinson (22593374)

“…VIDEO and CONTROL were associated with a similar rise in intent to decrease OTC NSAID use (1.92 (SD: 4.41) vs. 1.36 (SD: 3.46), p = 0.150) and a similar decrease in NSAIDs exposure (−32.8% in VIDEO and −36.5% in CONTROL, p = 0.520) 4 weeks post-intervention. …”

AUC statistics as calculated from simulated time series. Each statistical metric was calculated within sliding windows, throughout the pre-critical interval. We considered five-, fifteen-, and thirty-day sliding windows. Given that the temperature of the system increased to 12°C on day sixty, we also considered three pre-critical intervals: Days 1 to 60, Days 20 to 60, and Days 30 to 60. To evaluate trends in these metrics, we calculated Kendall’s rank correlation coefficient during the pre-critical interval, and compared control (constant temperature, non-epidemic) and warming (warming treatment, epidemic emergence) coefficients across simulations and experimental populations by calculating the area under the curve (AUC) statistic. Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger tre by Madeline Jarvis-Cross (22394247)

“…Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger tre</p>…”

Serum 25(OH)VD3 levels in VD₃ sufficient and deficient mice. by Kavya Annu (11587215)

Proportion of VD₃ sufficient vs. deficient mice surviving from BCR-ABL ALL when treated with dexamethasone. by Kavya Annu (11587215)

DEX oral gavage PK raw data. by Kavya Annu (11587215)

Discontinuous DEX PK raw data from repeated study. by Kavya Annu (11587215)

Cartoon depicting dexamethasone and dasatinib metabolism and efflux transport in intestine and liver. by Kavya Annu (11587215)

Gene expression (qPCR) data from livers of C57BL/6 mice before and after DEX treatment. by Kavya Annu (11587215)

Raw data from survival study in VD₃ sufficient vs. deficient male mice from BCR-ABL ALL when treated with dexamethasone. by Kavya Annu (11587215)

Gene expression (qPCR) data from VD3 sufficient and deficient hCYP3A4 12-week-old mice liver and kidney. by Kavya Annu (11587215)

Gene expression (qPCR) data from VD3 sufficient and deficient C57BL/6 mice duodenum. by Kavya Annu (11587215)