Multi-omic analysis of exercise induced changes to mitochondria

Bio21 Molecular Science and Biotechnology Institute
Primary Supervisor Email Number Webpage
Prof David Stroud

Summary The Stroud lab uses advanced systems biology techniques to understand the assembly and function of multi-subunit complexes and how their dysfunction underpins a number of important human diseases. We employ a range of mass-spectrometry techniques, including shotgun proteomics, affinity enrichment and BioID proximity studies, metabolic labelling and multi-omics approaches and combine them with patient derived cell lines, CRISPR/Cas9 gene editing, and classical biochemistry. Our research is aimed at both understanding the primary biology underpinning human disease, as well as developing systems biology tools to improve patient diagnostic outcomes.

Project Details

Mitochondria, better known as the ‘powerhouse of the cell’, are responsible for oxidative phosphorylation, providing the necessary energy the body needs to function. In addition to generating the bulk of cellular ATP, mitochondria direct a vast array of biological functions essential for cellular homeostasis. A long-standing question in biology concerns the biogenesis and regulation of mitochondria in response to stress and the metabolic needs of the cellular environment. Exercise represents a major challenge to both these pathways while also being arguably one of the most ‘natural’ perturbations available. While it is already known that high-intensity exercise alters the transcriptomic regulation of genes within the mitochondria differently compared with low-intensity exercise, there is far less literature on the proteomic, metabolomic and lipidomic changes.

In collaboration with our partners at the Institute of Sport, Exercise and Active Living (ISEAL) we have performed longitudinal multi-omics analyses of skeletal muscle from individuals subjected to increased volumes of exercise. In this ‘dry-lab’ informatics-only project, you will develop new methodologies to analyse this multi-omics dataset and identify the pathways and systems induced or repressed following exercise. You will also be involved in development of an interactive website allowing users to explore the data. As a pre-requisite for this project you will have some experience in programming languages (R, Python or similar) and/or web development frameworks (e.g Django, Flask). As an outcome of this project you will become proficient in the use of bioinformatic packages (e.g Limma, edgeR, mixOmics) as well as interpretation and visualisation of systems biology data.

School Research Themes

Cell Signalling

Key Contact

For further information about this research, please contact a supervisor.

Research Node

Bio21 Molecular Science and Biotechnology Institute

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