I am interested in how genes are regulated in health and disease. I combine molecular genomics, computational biology, and machine learning approaches to understand how variations in genome sequence can change cellular phenotypes and lead to complex diseases.
My current work is focused on coronary artery disease. Genome wide association studies have identified hundreds of susceptibility loci, however, the vast majority of variants are located in non-coding genomic regions. I am using chromosome conformation capture technologies and machine learning to understand how these genomic variants cause changes in gene expression which lead to disease.
Circadian rhythms in innate immunity and stress responses.
Baxter M. and Ray DW., (2020), Immunology, 161, 261 - 267
The clock gene Bmal1 inhibits macrophage motility, phagocytosis, and impairs defense against pneumonia.
Kitchen GB. et al, (2020), Proc Natl Acad Sci U S A, 117, 1543 - 1551
Cardiac mitochondrial function depends on BUD23 mediated ribosome programming.
Baxter M. et al, (2020), Elife, 9
An improved method for quantitative ChIP studies of nuclear receptor function.
Hunter AL. et al, (2019), J Mol Endocrinol, 62, 169 - 177