Abstract
ABSTRACTFirst Person is a series of interviews with the first authors of a selection of papers published in Disease Models & Mechanisms, helping early-career researchers promote themselves alongside their papers. Gideon Hughes is first author on ‘Machine learning discriminates a movement disorder in a zebrafish model of Parkinson's disease’, published in DMM. Gideon conducted the research described in this article while a PhD student in Betsy Pownall's lab at the University of York, York, UK. He is now a postdoc in the lab of Henry Roehl at the University of Sheffield, Sheffield, UK, using the zebrafish as a model organism to study human disease and tissue regeneration, combining his research with his interest in computer science.
Highlights
Zebrafish are a vertebrate model organism well suited for drug screening, and gene editing can be used in zebrafish to create mutations in genes that cause Parkinson’s disease (PD) in humans
We wanted to know if our fish model of PD showed a movement disorder similar to those seen in patients with PD
We developed a protocol that uses machine learning to recognise movement disorder in adult dj-1 mutants
Summary
What are the main advantages and drawbacks of the model system you have used as it relates to the disease you are investigating? Many labs use zebrafish to model human disease as they share many of the same genes with humans, and mutants are generated. Gideon Hughes is first author on ‘Machine learning discriminates a movement disorder in a zebrafish model of Parkinson’s disease’, published in DMM. He is a postdoc in the lab of Henry Roehl at the University of Sheffield, Sheffield, UK, using the zebrafish as a model organism to study human disease and tissue regeneration, combining his research with his interest in computer science.
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