Contact information
Matthew Baxter
Postdoctoral Researcher
Research Interests
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.
Recent publications
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Circadian clock function does not require the histone methyltransferase MLL3.
Journal article
Baxter M. et al, (2022), FASEB J, 36
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Chronic inflammatory arthritis drives systemic changes in circadian energy metabolism.
Journal article
Downton P. et al, (2022), Proc Natl Acad Sci U S A, 119
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Circadian rhythms in innate immunity and stress responses.
Journal article
Baxter M. and Ray DW., (2020), Immunology, 161, 261 - 267
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Hypoxia regulates GR function through multiple mechanisms involving microRNAs 103 and 107.
Journal article
Yang N. et al, (2020), Mol Cell Endocrinol, 518
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The clock gene Bmal1 inhibits macrophage motility, phagocytosis, and impairs defense against pneumonia.
Journal article
Kitchen GB. et al, (2020), Proc Natl Acad Sci U S A, 117, 1543 - 1551
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Cardiac mitochondrial function depends on BUD23 mediated ribosome programming.
Journal article
Baxter M. et al, (2020), Elife, 9
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An improved method for quantitative ChIP studies of nuclear receptor function.
Journal article
Hunter AL. et al, (2019), J Mol Endocrinol, 62, 169 - 177