Willis Viborg (cutdenim0)

igarettes received minimal news coverage. The high volume in 2018 was driven in large part by coverage of the e-cigarette brand JUUL; over half of news articles in 2018 referenced JUUL specifically. © The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved.For permissions, please e-mail journals.permissions@oup.com.OBJECTIVE Maternal depression is associated with infant and child sleep patterns, and with infant temperament. Here, we examine whether infant temperament mediated an association between maternal antenatal depression and toddler sleep. METHOD Within the prebirth longitudinal cohort Growing Up in New Zealand, symptoms of antenatal and postnatal depression were measured in 5,568 women using the Edinburgh Postnatal Depression Scale (EPDS). Infant temperament was measured at age 9 months using the Very Short Form of Infant Behavior Questionnaire-Revised (IBQ-R VSF). Sleep duration and nighttime awakenings were reported by parents when children were 2 years old. RESULTS Independent associations of maternal depression with child sleep patterns at age 2 years, adjusted for maternal demographics, physical health, family relationships, and child health and feeding, were determined using multivariate logistic regression analysis. The odds of having ≥2 nighttime awakenings were increased for children whose mothers had antenatal (1.36, 1.07-1.73) but not postnatal (1.22, 0.88-1.68) or both antenatal and postnatal depression (0.89, 0.56-1.36). There was no association of maternal depression with shorter sleep duration. Two of five dimensions of infant temperament (fear and negative affect) were associated with both antenatal depression scores and increased nighttime awakenings. Mediation analyses controlling for postnatal depression and other predictors of child sleep supported an indirect pathway of antenatal depression to child sleep through infant temperamental negative affectivity. CONCLUSION Antenatal depression is independently associated with more frequent nighttime awakenings in early childhood. Findings support an indirect pathway through infant negative affect characteristics. © The Author(s) 2020. Published by Oxford University Press on behalf of the Society of Pediatric Psychology. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.MOTIVATION Batch effect is a frequent challenge in deep sequencing data analysis that can lead to misleading conclusions. Existing methods do not correct batch effects satisfactorily, especially with single cell RNA sequencing (RNA-seq) data. RESULTS We present scBatch, a numerical algorithm for batch effect correction on bulk and single cell RNA-seq data with emphasis on improving both clustering and gene differential expression analysis. scBatch is not restricted by assumptions on the mechanism of batch effect generation. As shown in simulations and real data analyses, scBatch outperforms benchmark batch effect correction methods. AVAILABILITY The R package is available at github.com/tengfei-emory/scBatch. The code to generate results and figures in this paper is available at github.com/tengfei-emory/scBatch-paper-scripts. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online. © The Author(s) (2020). Published by Oxford University Press. All rights reserved. For Permissions, please email journals.permissions@oup.com.AIM In cardiomyocytes, transverse tubules (T-tubules) associate with the sarcoplasmic reticulum (SR), forming junctional membrane complexes (JMCs) where L-type calcium channels (LTCCs) are juxtaposed to Ryanodine receptors (RyR). Junctophilin-2 (JPH2) supports the assembly of JMCs by tethering T-tubules to the SR membrane. T-tubule remodeling in cardiac diseases is associated with down-regulation of JPH2 expression suggesting that JPH2 plays a crucial role in T-tubule stability. Furthermore, increasing evidence indicate that JPH2 mi