Probing PAX6-DNA interactions using high-throughput yeast one-hybrid assays and deep mutational scanning
dc.contributor.advisor
Kudla, Grzegorz
dc.contributor.advisor
Fitzpatrick, David
dc.contributor.author
McDonnell, Alexander
dc.date.accessioned
2023-05-24T14:37:18Z
dc.date.available
2023-05-24T14:37:18Z
dc.date.issued
2023-05-24
dc.description.abstract
PAX6 is a highly conserved transcription factor essential for the correct
development of the central nervous system, the pancreas, and the eye.
Heterozygous deletions, nonsense, and frameshift mutations are generally well
characterised as causing aniridia, while most missense variants produce a broad
range of other discrete ocular pathologies. The interplay between PAX6 and its
DNA targets is complicated by multiple functionally distinct subdomains, co-factors, and divergent spectra of disease phenotypes. Knowledge of the
contributions made to binding by each residue and the impact of missense variants
is likely key for understanding the role of PAX6 mutations in disease. Current
methods of exploring this interaction grammar have been limited by relatively low throughput techniques that are resource intensive and can only feasibly be
performed on a handful of residues.
Here I used a combination of yeast one-hybrid and deep mutational scanning in
competitive growth assays to probe the functional consequences of almost all the
possible single amino acid variants in the paired domain of PAX6. The results
showcase the capabilities of the assay to reproducibly generate functional DNA-binding information that correlates with aspects related to PAX6 structure and
proximity to DNA. Numerous variants demonstrated substantial shifts in functional
consequence from gain-of-function to loss-of-function to worse-than-null that
were exquisitely dependent on the DNA target sequence providing a plausible
route for pleiotropic effects on genome-wide PAX6 gene target expression. Among
the PAX6 variants identified in humans, pathogenic and benign variants showed
significantly different fitness scores yet overlapped in their distributions suggesting
mechanisms of pathogenicity exist beyond PAX6-DNA interaction dynamics.
Additionally, no correlation was found between DNA affinity and disease
phenotype. The assay was also able to predict PAX6PD function independent of
the yeast one-hybrid reporter system through suspected promiscuous binding to
regions of the yeast genome.
It is hoped that this deep mutational scan of PAX6 will aid in the modelling of
existing and novel variants, and in the development of in-silico methods for
pathogenicity prediction. The data will also contribute to the growing online protein
variant repositories that are increasingly becoming an invaluable resource for
clinicians and researchers.
en
dc.identifier.uri
https://hdl.handle.net/1842/40614
dc.identifier.uri
http://dx.doi.org/10.7488/era/3379
dc.language.iso
en
en
dc.publisher
The University of Edinburgh
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dc.subject
PAX6
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dc.subject
Deep Mutational Scanning
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dc.subject
DMS
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dc.subject
Saturation Mutagenesis
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dc.subject
Transcription Factor
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dc.subject
High-Throughput Screening
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dc.subject
NGS
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dc.subject
Next Generation Sequencing
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dc.subject
VEP
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dc.subject
Variant Effect Predictor
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dc.subject
FoldX
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dc.subject
ClinVar
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dc.subject
gnomAD
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dc.subject
Eye development
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dc.title
Probing PAX6-DNA interactions using high-throughput yeast one-hybrid assays and deep mutational scanning
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dc.type
Thesis or Dissertation
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dc.type.qualificationlevel
Doctoral
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dc.type.qualificationname
PhD Doctor of Philosophy
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