Michael Rudolph, P.h.D.
Associate Director, Molecular and Cellular Analytical Core
Dr. Rudolph is Assistant Professor in the Division of Endocrinology, Metabolism, and Diabetes, where he investigates how maternal derived fatty acids, especially from obese mothers, condition neonatal adipogenesis and future obesity risk. His lab has developed several methods to elucidate the cellular and molecular diversity of adipocyte stem-like cells in mice to understand the developmental patterning of fat tissue growth. Through conditional knock-out mice, customized flow cytometry, bulk and single cell RNA-sequencing, and lipid mass spectrometry, Dr. Rudolph is beginning to understand the developmental and cellular cues that control early life patterning of adipose tissue via its resident stem-like cells. This includes the potential for differentiation and subtype heterogeneity, particularly during postnatal fat deposition, when metabolic programming is greatly influenced by infant dietary nutrients. Dr. Rudolph has also established several clinical collaborations to leverage ongoing studies of maternal obesity, human infant adipogenesis, milk fat quality, and composition of maternal fatty acid intake to bridge basic and clinical research. In addition, owing to specific expertise in use of global gene expression analyses, he has applied these skills with other collaborators investigating diverse obesity settings, including human exercise interventions, fetal growth restriction in sheep, hematopoietic stem cells in Macaques, and weight loss maintenance in mice and rats. We have worked extensively with multiple researchers at the University of Colorado to develop and apply the software tools and analytical methods needed to quantify meaningful gene expression changes using high resolution RNA sequencing. As the Associate Director of the NORC MCA Bioinformatics Core, my mission is to support and disseminate the utility of high-throughput genomic technologies to basic, translational, and clinical researchers so they can select the right study design, technology, and methodology that ensures their success.