49 research outputs found

    We Are One: Singing, Sisterhood, and Solidarity in Appleton-Area Women\u27s Choirs

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    Despite its relatively small population, the city of Appleton has a large and thriving women’s choir community. Between the Lawrence Academy of Music Girl Choir, which serves hundreds of girls every year, and Cantala, the women’s choir at Lawrence University, opportunities for involvement in nationally-recognized female-voice ensembles range from second grade all the way through to college graduation. Using the theories of Foucault, Bourdieu, Butler, Green, and Bentham, this project explores the women’s choir culture of Appleton in an attempt to discover the core values of these two influential programs. I accomplished this by conducting ethnographic research in the form of interviews and surveys as well as completing analysis of existing literature. At the end of my research, I determined that there are three key areas that have defined the success of each program: the ways in which community and intimate relationships are fostered, the performance of challenging and meaningful repertoire, and the empowerment of singers. These programs encourage young women to “find their voices” by breaking, discarding, reclaiming, and subverting stereotypes associated with women and women’s choirs

    Introduction:Structuralists of the world unite

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    Supplementary Table S3: Temporally significant metabolites from DMSO treatment as determined by t-test, p<0.05. These tables include all metabolites that were significantly changing from DMSO control treatment between A) 0.5 – 1 h (72 metabolites), B) 0.5 – 4 h (76 metabolites), and C) 1 - 4 h (25 metabolites). Metabolites were included in this table if annotated with either KEGGID or HMDBID. Tables include compound name, KEGGID (if applicable), HMDBID (if applicable), and p-value from t-test (methods described above)

    Metabolite-related dietary patterns and the development of islet autoimmunity

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    The role of diet in type 1 diabetes development is poorly understood. Metabolites, which reflect dietary response, may help elucidate this role. We explored metabolomics and lipidomics differences between 352 cases of islet autoimmunity (IA) and controls in the TEDDY (The Environmental Determinants of Diabetes in theYoung) study. We created dietary patterns reflecting pre-IA metabolite differences between groups and examined their association with IA. Secondary outcomes included IA cases positive for multiple autoantibodies (mAb+). The association of 853 plasma metabolites with outcomes was tested at seroconversion to IA, just prior to seroconversion, and during infancy. Key compounds in enriched metabolite sets were used to create dietary patterns reflecting metabolite composition, which were then tested for association with outcomes in the nested case-control subset and the full TEDDY cohort. Unsaturated phosphatidylcholines, sphingomyelins, phosphatidylethanolamines, glucosylceramides, and phospholipid ethers in infancy were inversely associated with mAb+ risk, while dicarboxylic acids were associated with an increased risk. An infancy dietary pattern representing higher levels of unsaturated phosphatidylcholines and phospholipid ethers, and lower sphingomyelins was protective for mAb+ in the nested case-control study only. Characterization of this high-risk infant metabolomics profile may help shape the future of early diagnosis or prevention efforts

    Metabolite-related dietary patterns and the development of islet autoimmunity

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    The role of diet in type 1 diabetes development is poorly understood. Metabolites, which reflect dietary response, may help elucidate this role. We explored metabolomics and lipidomics differences between 352 cases of islet autoimmunity (IA) and controls in the TEDDY (The Environmental Determinants of Diabetes in theYoung) study. We created dietary patterns reflecting pre-IA metabolite differences between groups and examined their association with IA. Secondary outcomes included IA cases positive for multiple autoantibodies (mAb+). The association of 853 plasma metabolites with outcomes was tested at seroconversion to IA, just prior to seroconversion, and during infancy. Key compounds in enriched metabolite sets were used to create dietary patterns reflecting metabolite composition, which were then tested for association with outcomes in the nested case-control subset and the full TEDDY cohort. Unsaturated phosphatidylcholines, sphingomyelins, phosphatidylethanolamines, glucosylceramides, and phospholipid ethers in infancy were inversely associated with mAb+ risk, while dicarboxylic acids were associated with an increased risk. An infancy dietary pattern representing higher levels of unsaturated phosphatidylcholines and phospholipid ethers, and lower sphingomyelins was protective for mAb+ in the nested case-control study only. Characterization of this high-risk infant metabolomics profile may help shape the future of early diagnosis or prevention efforts

    Vanderll/TIPRA_baseline: v1.0

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    Data and code used for Nature publication titled "Multifaceted Immune Dysregulation in Potentially Modifiable Pathways Characterizes Individuals At-Risk for Rheumatoid Arthritis

    Whole brain and brain regional coexpression network interactions associated with predisposition to alcohol consumption.

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    To identify brain transcriptional networks that may predispose an animal to consume alcohol, we used weighted gene coexpression network analysis (WGCNA). Candidate coexpression modules are those with an eigengene expression level that correlates significantly with the level of alcohol consumption across a panel of BXD recombinant inbred mouse strains, and that share a genomic region that regulates the module transcript expression levels (mQTL) with a genomic region that regulates alcohol consumption (bQTL). To address a controversy regarding utility of gene expression profiles from whole brain, vs specific brain regions, as indicators of the relationship of gene expression to phenotype, we compared candidate coexpression modules from whole brain gene expression data (gathered with Affymetrix 430 v2 arrays in the Colorado laboratories) and from gene expression data from 6 brain regions (nucleus accumbens (NA); prefrontal cortex (PFC); ventral tegmental area (VTA); striatum (ST); hippocampus (HP); cerebellum (CB)) available from GeneNetwork. The candidate modules were used to construct candidate eigengene networks across brain regions, resulting in three "meta-modules", composed of candidate modules from two or more brain regions (NA, PFC, ST, VTA) and whole brain. To mitigate the potential influence of chromosomal location of transcripts and cis-eQTLs in linkage disequilibrium, we calculated a semi-partial correlation of the transcripts in the meta-modules with alcohol consumption conditional on the transcripts' cis-eQTLs. The function of transcripts that retained the correlation with the phenotype after correction for the strong genetic influence, implicates processes of protein metabolism in the ER and Golgi as influencing susceptibility to variation in alcohol consumption. Integration of these data with human GWAS provides further information on the function of polymorphisms associated with alcohol-related traits
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