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
-
REnformer, a single-cell ATAC-seq predicting model to investigate open chromatin sites
Preprint
Riva SG. et al, (2025)
-
Pharmacological targeting of BMAL1 modulates circadian and immune pathways.
Journal article
Pu H. et al, (2025), Nat Chem Biol
-
Shift work and evening chronotype are associated with hepatic fat fraction and non-alcoholic fatty liver disease in 282,303 UK biobank participants.
Journal article
Maidstone R. et al, (2023), Endocr Connect
-
CATCH-UP: A High-Throughput Upstream-Pipeline for Bulk ATAC-Seq and ChIP-Seq Data.
Journal article
Riva SG. et al, (2023), J Vis Exp
-
The interplay between macronutrients and sleep: focus on circadian and homeostatic processes.
Journal article
Gangitano E. et al, (2023), Front Nutr, 10
-
Circadian clock function does not require the histone methyltransferase MLL3.
Journal article
Baxter M. et al, (2022), FASEB J, 36
-
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