6 Works

Predicting and Preventing Neglect in Teen Mothers (2001-2007)

John G. Borkowski, Judy Carta, Steven F. Warren, Sharon L. Ramey, Kristi Guest, Bette Keltner, Robin Lanzi, Lorraine Klerman & Craig Ramey
The ‘Predicting And Preventing Child Neglect In Teen Mothers’ project was designed to assess the impact of varying degrees and types of neglect and poor parenting on children’s development during the first 3 years of life, including changes in intelligence and behavior, language, social and emotional well-being, physical growth, and health status. This study included a broad array of assessments related to the construct of childhood neglect, and can be used to test the developmental...

Data from: Is MHC diversity a better marker for conservation than neutral genetic diversity? a case study of two contrasting dolphin populations

Oliver Manlik, Michael Krutzen, Anna M. Kopps, Janet Mann, Lars Bejder, Simon J. Allen, Celine Frere, Richard C. Connor & William B. Sherwin
Genetic diversity is essential for populations to adapt to changing environments. Measures of genetic diversity are often based on selectively neutral markers, such as microsatellites. Genetic diversity to guide conservation management, however, is better reflected by adaptive markers, including genes of the major histocompatibility complex (MHC). Our aim was to assess MHC and neutral genetic diversity in two contrasting bottlenose dolphin (Tursiops aduncus) populations in Western Australia—one apparently viable population with high reproductive output (Shark...

Data from: The prevalence of MS in the United States: a population-based estimate using health claims data

Mitchell T. Wallin, William J. Culpepper, Jonathan D. Campbell, Lorene M. Nelson, Annette Langer-Gould, Ruth Ann Marrie, Gary R. Cutter, Wendy E. Kaye, Laurie Wagner, Helen Tremlett, Stephen L. Buka, Piyameth Dilokthornsakul, Barbara Topol, Lie H. Chen & Nicholas G. LaRocca
Objective: To generate a national multiple sclerosis (MS) prevalence estimate for the United States by applying a validated algorithm to multiple administrative health claims (AHC) datasets. Methods: A validated algorithm was applied to private, military, and public AHC datasets to identify adult cases of MS between 2008 and 2010. In each dataset, we determined the 3-year cumulative prevalence overall and stratified by age, sex, and census region. We applied insurance-specific and stratum-specific estimates to the...

Data from: Ant colonies maintain social homeostasis in the face of decreased density

Andreas P. Modlmeier, Ewan Colman, Ephraim M. Hanks, Ryan Bringenberg, Shweta Bansal & David P. Hughes
Interactions lie at the heart of social organization, particularly in ant societies. Interaction rates are presumed to increase with density, but there is little empirical evidence for this. We manipulated density within carpenter ant colonies of the species Camponotus pennsylvanicus by quadrupling nest space and by manually tracking 6.9 million ant locations and over 3200 interactions to study the relationship between density, spatial organization and interaction rates. Colonies divided into distinct spatial regions on the...

Data from: Quality and quantity of genetic relatedness data affect the analysis of social structure

Vivienne Foroughirad, Alexis Levengood, Janet Mann & Celine H. Frère
Kinship plays a fundamental role in the evolution of social systems and is considered a key driver of group living. To understand the role of kinship in the formation and maintenance of social bonds, accurate measures of genetic relatedness are critical. Genotype-by-sequencing technologies are rapidly advancing the accuracy and precision of genetic relatedness estimates for wild populations. The ability to assign kinship from genetic data varies depending on a species’ or population’s mating system and...

Data from: Tumor suppressor RARRES1- a novel regulator of fatty acid metabolism in epithelial cells

Sara Maimouni, Naiem Issa, Selina Cheng, Chokri Ouaari, Amrita Cheema, Deepak Kumar & Stephen Byers
Retinoic acid receptor responder 1 (RARRES1) is silenced in many cancers and is differentially expressed in metabolism associated diseases, such as hepatic steatosis, hyperinsulinemia and obesity. Here we report a novel function of RARRES1 in metabolic reprogramming of epithelial cells. Using non-targeted LC-MS, we discovered that RARRES1 depletion in epithelial cells caused a global increase in lipid synthesis. RARRES1-depleted cells rewire glucose metabolism by switching from aerobic glycolysis to glucose-dependent de novo lipogenesis (DNL). Treatment...

Registration Year

  • 2019
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Affiliations

  • Georgetown University
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