alan-tackett

Alan Tackett, PhD

Resource Co-Director
Professor, Department of Biochemistry and Molecular Biology
University of Arkansas for Medical Sciences

Publications
Research Interests:
• Protein interactions and histone epigenetics on chromatin
• Identification of epigenetic mechanisms driving melanoma progression
Email: IDeAProteomics@uams.edu

MK

Michael Kinter, PhD

Resource Co-Director & Targeted Proteomics Service Line Leader
Associate Member, Aging and Metabolism Research Program
Oklahoma Medical Research Foundation

Publications
Research Interests:
• Development of protein identification using tandem mass spectrometry
• Development of targeted protein quantification using selected reaction monitoring
• Application of targeted protein quantification to novel experimental systems

Mackintosh_Sam_2

Sam Mackintosh, PhD

Resource Manager
Associate Professor, Department of Biochemistry and Molecular Biology
University of Arkansas for Medical Sciences

Publications
Research Interests:
• Design of proteomic experiments for users of Proteomics Core
• Acquisition and analysis of high-quality mass-spectrometric data
Email: IDeAProteomics@uams.edu
Phone: (501) 526-6165

edmondson

Ricky Edmondson, PhD

Discovery Proteomics Service Line Leader
Associate Professor of Medicine
University of Arkansas for Medical Sciences

Publications
Research Interests:
• Improving the sensitivity and efficiency of peptide identification using mass spectrometry-based proteomics
• Improving methods used to investigate low abundance post-translational modifications
• Bridging the gap between results from preclinical samples and clinical isolates, including data from metabolomics, proteomic, and gene expression experiments

Development of interactive systems biology tools

Stephanie Byrum, PhD

Bioinformatics Service Line Leader
Assistant Professor, Department of Biochemistry and Molecular Biology
University of Arkansas for Medical Sciences

Publications
Research Interests:
• Development of state-of-the-art bioinformatics pipelines for proteomics and genomics
• Development of data visualization tools for core users
• Using multi-omics approaches to understand the mechanism of cancer and disease