Mary Thompson
Computational Biology Researcher / Trainer
- Trainer for the OBDS training programme
- Postdoctoral computational biologist
I train researchers how to process and interpret their genomics data as part of the Oxford Biomedical Data Science training programme. My research focuses on transcriptional regulation during brain development, with a view to better understanding the effect of genetic variants in neurological disorders.
Transcriptional regulation during brain development
Brain development is a complex process that generates thousands of distinct cell types which are wired together in a precise way. The cerebellum is a distinct region of the brain that has functions in motor control. We are interested in understanding how the non-coding regions of the genome control the development of the cerebellum and how sequence variants in these non-coding regions can disrupt gene regulation and contribute to neurodevelopmental disorders. To identify and characterize the regulatory regions that control cerebellar development, we are analyzing genome-wide datasets collected from bulk and single-cell samples of mammalian cerebellum. In particular, single-cell open chromatin profiles provide a glimpse into the epigenetic remodelling that occurs during cerebellar development. By integrating chromatin accessibility data with other modalities such as single-cell RNA sequencing, chromosome conformation capture, and transcription factor binding sites, we aim to delineate the role of the non-coding genome at different stages of development and in different cell types.
Biography
I obtained my undergraduate degree in biochemistry and cell biology at Rice University, USA. I pursued my PhD at the Massachusetts Institute of Technology, USA, where I worked with Wendy Gilbert on my thesis exploring the functions of specific ribosomal proteins in translational control. I then did a postdoc in the lab of Ilan Davis at the University of Oxford, UK, where I studied the regulation of RNA metabolism during fruit fly brain development and in synaptic plasticity. Throughout my PhD and postdoc, my research combined experimental work with computation, and I developed a passion for genomics data analysis and reproducible research. I have also worked as a bioinformatician in the private sector where I helped support R&D efforts by analyzing genomics data. In my current position, I am helping to train new computational biologists as part of the Oxford Biomedical Data Science Training Programme. My research is focused on regulation driven by non-coding regions of the genome during brain development using single-cell genomics data.
Recent publications
Dynamically regulated transcription factors are encoded by highly unstable mRNAs in the Drosophila larval brain.
Journal article
Thompson MK. et al, (2023), RNA, 29, 1020 - 1032
Systematic analysis of YFP traps reveals common mRNA/protein discordance in neural tissues.
Journal article
Titlow JS. et al, (2023), J Cell Biol, 222
bsolute quantitation of individual SARS-CoV-2 RNA molecules provides a new paradigm for infection dynamics and variant differences.
Journal article
Lee JY. et al, (2022), Elife, 11
Systematic analysis of YFP gene traps reveals common discordance between mRNA and protein across the nervous system
Preprint
Titlow J. et al, (2022)
Ribo-Pop: simple, cost-effective, and widely applicable ribosomal RNA depletion.
Journal article
Thompson MK. et al, (2020), RNA, 26, 1731 - 1742
