Results 181 to 190 of about 421,329 (326)
Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee +8 more
wiley +1 more source
On the Use of Auxiliary Variables in Multilevel Regression and Poststratification. [PDF]
Si Y.
europepmc +1 more source
Accurate Variable Control System for Boom Sprayer Based on Auxiliary Antidrift System [PDF]
Jun Fu +3 more
openalex +1 more source
The PI3Kδ inhibitor roginolisib (IOA‐244) preserves T‐cell function and activity
Identification of novel PI3K inhibitors with limited immune‐related adverse effects is highly sought after. We found that roginolisib and idelalisib inhibit chronic lymphocytic leukemia (CLL) cells and Treg suppressive functions to similar extents, but roginolisib affects cytotoxic T‐cell function and promotion of pro‐inflammatory T helper subsets to a
Elise Solli +7 more
wiley +1 more source
Small area estimation based on M-quantile models in presence of outliers in auxiliary variables
Stefano Marchetti +3 more
openalex +2 more sources
Correlation of the differential expression of PIK3R1 and its spliced variant, p55α, in pan‐cancer
PIK3R1 undergoes alternative splicing to generate the isoforms, p85α and p55α. By combining large patient datasets with laboratory experiments, we show that PIK3R1 spliced variants shape cancer behavior. While tumors lose the protective p85α isoform, p55α is overexpressed, changes linked to poorer survival and more pronounced in African American ...
Ishita Gupta +10 more
wiley +1 more source
Analyses using multiple imputation need to consider missing data in auxiliary variables. [PDF]
Madley-Dowd P +5 more
europepmc +1 more source
A convergent stochastic scalar auxiliary variable method
Abstract We discuss an extension of the scalar auxiliary variable approach, which was originally introduced by Shen et al. (2018, The scalar auxiliary variable (SAV) approach for gradient flows. J. Comput. Phys., 353, 407–416) for the discretization of deterministic gradient flows.
openaire +2 more sources

