B
Bruce R. Southey
Researcher at University of Illinois at Urbana–Champaign
Publications - 102
Citations - 6067
Bruce R. Southey is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Gene & Prohormone. The author has an hindex of 30, co-authored 94 publications receiving 5438 citations.
Papers
More filters
Journal ArticleDOI
Terpenoid Backbone Biosynthesis among Pig Hippocampal Pathways Impacted by Stressors
TL;DR: The results indicate that weaning and sex can modify the effects of MIA on the offspring hippocampus, which can aid in precise identification of molecular targets to reduce the prolonged effects of pre- and postnatal stressors.
Journal ArticleDOI
Miscanthus Grass as a Novel Functional Fiber Source in Extruded Feline Diets
TL;DR: The data suggest that Miscanthus grass fiber and fiber blends are viable alternatives to the traditional dietary fiber sources used in commercial extruded feline diets, being most comparable to cellulose.
Journal ArticleDOI
Identification of best indicators of peptide-spectrum match using a permutation resampling approach.
Malik Nadeem Akhtar,Bruce R. Southey,Per E. Andrén,Jonathan V. Sweedler,Sandra L. Rodriguez-Zas +4 more
TL;DR: The higher overlap in matches between the database search programs when using end permutations compared to existing approaches confirmed the superiority of the end permutation method to identify peptides.
Journal ArticleDOI
Use of Legumes and Yeast as Novel Dietary Protein Sources in Extruded Canine Diets.
Lauren M Reilly,Fei He,Sandra L. Rodriguez-Zas,Bruce R. Southey,Jolene M Hoke,Gary Mitchell Davenport,Maria R C de Godoy +6 more
TL;DR: Inclusion of these novel, plant-based, protein sources showed no detrimental effects on nutrient digestibility or fecal characteristics and represent viable protein sources in canine diets that can produce beneficial shifts in fecal metabolites.
Proceedings ArticleDOI
Co-expression networks uncover regulation of splicing and transcription markers of disease
TL;DR: A bioinformatics approach was developed to uncover the role of alternative splicing and associated transcriptional networks using RNA-seq profiles and can offer comparable insights into the discovery of biomarkers and therapeutic targets for a wide range of diseases and conditions.