Welcome to the Butler Group page at University College Dublin.
|The lab is interested in genomic analysis of pathogenic fungi, particularly in relation to virulence. In current projects, we are carrying out large population studies of Candida parapsilosis and Candida tropicalis, including investigating mechanisms associated with drug resistance. In previous work we identified the regulatory pathways controlling the growth of biofilms of Candida parapsilosis on medical devices; investigated the response of pathogenic yeast to hypoxia; and characterised the origin of Candida orthopsilosis. We have developed methods for generating gene knockouts in Candida parapsilosis, including the application of CRISPR, and are have constructed a set of individual knockouts. We use a number of comparative genomics approaches to study evolution of the Candida clade, including genomic sequencing (Illumina and minION) and RNA-seq. We developed a genome browser (the Candida Gene Order Browser) to enable analysis of Candida genomes. We also carry out detailed evolutionary analysis, including characterising the evolution and function of centromeres in Candida species.
The lab was a participant in the OPATHY International Training Network, “From Omics to Patient: Improving Diagnostics of Pathogenic Yeasts”. See the OPATHY video about the beast in yeast (pathogenic Candida) on YouTube, here. or see below. We also collaborate with Prof Tobias Höhl and Dr Bing Zhai the Memorial Sloan Kettering Cancer Center in New York, leading to a characterisation of gut to bloodstream transition of fungal isolates. The lab works closely with Ken Wolfe’s group at UCD.
We welcome both molecular and computational biologists.
Follow the links at the top to people, publications etc.
Butler biography at UCD is available here.
(DNA sculpture in Botanic Gardens, Dublin)
The Candida Gene Order Browser: http://cgob.ucd.ie
Prof Geraldine Butler, School of Biomolecular and Biomedical Science, Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland.
Email: email@example.com Phone: +353-1-7166885
Biology Big Data at The Conway Institute