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Kevin E. Bruce

Researcher at Indiana University

Publications -  24
Citations -  914

Kevin E. Bruce is an academic researcher from Indiana University. The author has contributed to research in topics: FtsZ & Peptidoglycan. The author has an hindex of 15, co-authored 24 publications receiving 760 citations. Previous affiliations of Kevin E. Bruce include Austrian Academy of Sciences.

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Seasonal Variation in Volatile Compound Profiles of Preen Gland Secretions of the Dark-eyed Junco ( Junco hyemalis )

TL;DR: Functionally, the large increase in linear alcohols in male and female preen oil during the breeding season may be an indication of altered lipid biosynthesis, which might signal reproductive readiness, and Linear alcohols might also facilitate junco odor blending with plant volatiles in the habitat to distract mammalian predators.
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Putative Chemosignals of the Ferret (Mustela furo) Associated with Individual and Gender Recognition

TL;DR: It is suggested that ferrets may use urine marking for sex and individual recognitions, and most of the major compounds in anal glands were not present in urine, which suggests that urine may convey specific signals that differ from those of anal glands.
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The CsoR‐like sulfurtransferase repressor (CstR) is a persulfide sensor in Staphylococcus aureus

TL;DR: It is shown that the cst operon is strongly and transiently induced by cellular sulfide stress in an acute phase and specific response and that cst‐encoded genes are necessary to mitigate the effects of sulfide toxicity.
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A new structural paradigm in copper resistance in Streptococcus pneumoniae.

TL;DR: It is shown here that CupA is a novel cell membrane-anchored Cu(I) chaperone, and that aCu(I)-binding competent, membrane-localized CupsA is obligatory for copper resistance, consistent with a primary role of CupA in cytoplasmic Cu( I) sequestration and/or direct delivery to the transmembrane site of CopA for cellular efflux.
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In situ surface sampling of biological objects and preconcentration of their volatiles for chromatographic analysis.

TL;DR: A rolling stir bar sampling procedure for volatile organic compounds (VOCs) present on various biological surfaces using embedded internal standards provides highly reproducible and quantitative results for a wide variety of sampled trace components.