Regional gene repression by DNA double-strand breaks in G1 phase cells

DNA damage responses (DDR) to double-strand breaks (DSBs) alter cellular transcription programs at the genome-wide level. Through processes that are less well understood, DSBs also alter transcriptional responses locally, which may be important for efficient DSB repair. Here, we developed an approach to elucidate th

How do instrumental and expressive network positions relate to turnover? A meta-analytic investigation

Although social network methods have proven valuable for predicting employee turnover, an informed use of network methods for turnover management requires an integration and extension of extant networks-turnover research. To that end, this article addresses two relatively neglected issues in the networks-turnover literature: the lack of integration of turnover process models into networks-turnover research and the differential influence of “network content” (i.e., instrumental vs. expressive network resources) on turnover processes. To address these issues, we draw from social capital and turnover theories as a basis for investigating how turnover antecedents (i.e., work attitudes, job alternatives, and job performance) mediate the associations between instrumental and expressive degree centrality and turnover. We test a theoretical model using meta-analytic path analysis based on the results of random-effects meta-analyses (64 independent samples of working adults) of instrumental and expressive degree centrality in relation to job satisfaction, organizational commitment, job alternatives, job performance, and employee turnover. We found that both instrumental and expressive degree centrality relate to employee turnover, but through different mediating processes; instrumental degree centrality decreased the likelihood of turnover via job performance and organizational commitment, whereas expressive degree centrality decreased the likelihood of turnover via job satisfaction and organizational commitment. Furthermore, expressive degree centrality (as compared to instrumental degree centrality) had a negative association with turnover after accounting for these prominent turnover antecedents. These findings illustrate the importance of distinguishing between instrumental and expressive network positions in the turnover process as well as the value of leveraging employee networks for employee retention

DNA double-strand breaks induce H2Ax phosphorylation domains in a contact-dependent manner

Formation of γH2Ax serves as a checkpoint for double-strand break (DSB) repair pathways. Here the authors reveal via integrated chromatin analysis that γH2Ax domains are established by chromosomal contacts with the DSB site

Obesity and Diabetes Cause Cognitive Dysfunction in the Absence of Accelerated β-Amyloid Deposition in a Novel Murine Model of Mixed or Vascular Dementia

Mid-life obesity and type 2 diabetes mellitus (T2DM) confer a modest, increased risk for Alzheimer\u27s disease (AD), though the underlying mechanisms are unknown. We have created a novel mouse model that recapitulates features of T2DM and AD by crossing morbidly obese and diabetic db/db mice with APPΔNL/ΔNLx PS1P264L/P264L knock-in mice. These mice (db/AD) retain many features of the parental lines (e.g. extreme obesity, diabetes, and parenchymal deposition of β-amyloid (Aβ)). The combination of the two diseases led to additional pathologies-perhaps most striking of which was the presence of severe cerebrovascular pathology, including aneurysms and small strokes. Cortical Aβ deposition was not significantly increased in the diabetic mice, though overall expression of presenilin was elevated. Surprisingly, Aβ was not deposited in the vasculature or removed to the plasma, and there was no stimulation of activity or expression of major Aβ-clearing enzymes (neprilysin, insulin degrading enzyme, or endothelin-converting enzyme). The db/AD mice displayed marked cognitive impairment in the Morris Water Maze, compared to either db/db or APPΔNLx PS1P264L mice. We conclude that the diabetes and/or obesity in these mice leads to a destabilization of the vasculature, leading to strokes and that this, in turn, leads to a profound cognitive impairment and that this is unlikely to be directly dependent on Aβ deposition. This model of mixed or vascular dementia provides an exciting new avenue of research into the mechanisms underlying the obesity-related risk for age-related dementia, and will provide a useful tool for the future development of therapeutics

Cnidocyte discharge is regulated by light and opsin-mediated phototransduction

Cnidocyte discharge is regulated by light and opsin-mediated phototransduction Plachetzki et al. Plachetzki et al. BMC Biology 2012, 10:1

Attention bias to emotional faces varies by IQ and anxiety in Williams syndrome

Individuals with Williams syndrome (WS) often experience significant anxiety. A promising approach to anxiety intervention has emerged from cognitive studies of attention bias to threat. To investigate the utility of this intervention in WS, this study examined attention bias to happy and angry faces in individuals with WS (N=46). Results showed a significant difference in attention bias patterns as a function of IQ and anxiety. Individuals with higher IQ or higher anxiety showed a significant bias toward angry, but not happy faces, whereas individuals with lower IQ or lower anxiety showed the opposite pattern. These results suggest that attention bias interventions to modify a threat bias may be most effectively targeted to anxious individuals with WS with relatively high IQ

Measuring the predictability of life outcomes with a scientific mass collaboration.

How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the common task method; 160 teams built predictive models for six life outcomes using data from the Fragile Families and Child Wellbeing Study, a high-quality birth cohort study. Despite using a rich dataset and applying machine-learning methods optimized for prediction, the best predictions were not very accurate and were only slightly better than those from a simple benchmark model. Within each outcome, prediction error was strongly associated with the family being predicted and weakly associated with the technique used to generate the prediction. Overall, these results suggest practical limits to the predictability of life outcomes in some settings and illustrate the value of mass collaborations in the social sciences