Hepatocyte hopping is the hepatocyte-to-sinusoid-to-hepatocyte shuttling that increases the efficiency of hepatic elimination of xenobiotics. This phenomenon is mediated efflux of hepatic metabolites by Mrp3 and reuptake by Oatp transporters in sequential hepatocytes until eventual biliary efflux by Mrp2. Sorafenib-glucuronide (SFB-G), the major metabolite of sorafenib (SFB), undergoes hepatocyte hopping, leading to efficient biliary elimination.
View Article and Find Full Text PDFCross-case study research was used to explore the school readiness of four 5-year-old children entering kindergarten during the 2020-2021 school year after three or more years of play-based early childhood education at a Reggio Emilia-inspired early childhood education center. Data included a series of three 1-h individual interviews with four mothers and three kindergarten teachers, field visits during remote learning, and artifact collection over the course of the school year. Themes describing the children's school readiness were developed through cross-case analysis.
View Article and Find Full Text PDFThe role of ER Ca release via ryanodine receptors (RyR) in pancreatic β-cell function is not well defined. Deletion of RyR2 from the rat insulinoma INS-1 (RyR2) enhanced IP receptor activity stimulated by 7.5 mM glucose, coincident with reduced levels of the protein IP Receptor Binding protein released with Inositol 1,4,5 Trisphosphate (IRBIT).
View Article and Find Full Text PDFBackground And Purpose: This was a preliminary investigation to investigate potential benefits of group yoga, as past work has indicated that one-on-one yoga can improve functional deficits in adults with brain injury.
Materials And Methods: Participants served as their own controls. Nine participants with chronic brain injury were recruited, and seven (four female) completed the study.
The ability to predict the impact of cis-regulatory sequences on gene expression would facilitate discovery in fundamental and applied biology. Here we combine polysome profiling of a library of 280,000 randomized 5' untranslated regions (UTRs) with deep learning to build a predictive model that relates human 5' UTR sequence to translation. Together with a genetic algorithm, we use the model to engineer new 5' UTRs that accurately direct specified levels of ribosome loading, providing the ability to tune sequences for optimal protein expression.
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