4 research outputs found

    “She is the Best Female Coach”: Female Swimming Coaches’ Experiences of Sexism

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    Sport participation for women and girls is at an all-time high in the United States, but women are still widely underrepresented in leadership positions and coaching (Acosta & Carpenter, 2014). Women hold approximately 50% of head coaching positions of women’s teams in the National Collegiate Athletic Association, and only 18% of the head coaching positions of women’s swimming and diving teams (LaVoi & Silva-Breen, 2018). Numerous barriers have been identified through previous research on the factors that inhibit upward career mobility for female coaches. Semi-structured interviews were used to examine the career experiences of 21 current or former female swimming coaches at the NCAA Division I level. The theme of sexism in coaching was pervasive and identified in five different categories: (a) misidentification, (b) differential treatment, (c) isolation, (d) tokenism, and (e) motherhood. The sexism that female coaches experience hinders upward career mobility which can lead to career dissatisfaction and early exits from the field, contributing to the underrepresentation of women in the profession

    Experimental annotation of post-translational features and translated coding regions in the pathogen Salmonella Typhimurium

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    <p>Abstract</p> <p>Background</p> <p>Complete and accurate genome annotation is crucial for comprehensive and systematic studies of biological systems. However, determining protein-coding genes for most new genomes is almost completely performed by inference using computational predictions with significant documented error rates (> 15%). Furthermore, gene prediction programs provide no information on biologically important post-translational processing events critical for protein function.</p> <p>Results</p> <p>We experimentally annotated the bacterial pathogen <it>Salmonella </it>Typhimurium 14028, using "shotgun" proteomics to accurately uncover the translational landscape and post-translational features. The data provide protein-level experimental validation for approximately half of the predicted protein-coding genes in <it>Salmonella </it>and suggest revisions to several genes that appear to have incorrectly assigned translational start sites, including a potential novel alternate start codon. Additionally, we uncovered 12 non-annotated genes missed by gene prediction programs, as well as evidence suggesting a role for one of these novel ORFs in <it>Salmonella </it>pathogenesis. We also characterized post-translational features in the <it>Salmonella </it>genome, including chemical modifications and proteolytic cleavages. We find that bacteria have a much larger and more complex repertoire of chemical modifications than previously thought including several novel modifications. Our <it>in vivo </it>proteolysis data identified more than 130 signal peptide and N-terminal methionine cleavage events critical for protein function.</p> <p>Conclusion</p> <p>This work highlights several ways in which application of proteomics data can improve the quality of genome annotations to facilitate novel biological insights and provides a comprehensive proteome map of <it>Salmonella </it>as a resource for systems analysis.</p
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