Luke Joyce - Data Engineer

Luke Joyce

Hello and welcome to my personal website! I am currently working as a data engineer and have a background in bioinformatics.

I am fascinated by the intersection of biology and technology. During my time studying bioinformatics at UCC, I delved into genetic data analysis and virtual drug screening, where I developed a strong foundation in computational biology and statistics.

As my career progressed, I transitioned into the field of data engineering, where I leverage my expertise in handling large-scale data, designing robust data pipelines, and implementing data-driven solutions. My passion lies in harnessing the power of data to unlock new discoveries and drive innovation in healthcare and life sciences.

Links to social media

Published Academic Publication

A systematic computational analysis of the endosomal recycling pathway in glioblastoma

Authors: Luke J. Joyce, Andrew J. Lindsay

Abstract: Glioblastoma (GBM) is the most common and aggressive brain cancer in adults. The standard treatment is brutal and has changed little in 20 years, and more than 85% of patients will die within two years of their diagnosis. There is thus an urgent need to identify new drug targets and develop novel therapeutic strategies to increase survival and improve quality of life. Using publicly available genomics, transcriptomics and proteomics datasets, we compared the expression of endosomal recycling pathway regulators in non-tumour brain tissue with their expression in GBM. We found that key regulators of this pathway are dysregulated in GBM and their expression levels can be linked to survival outcomes. Further analysis of the differentially expressed endosomal recycling regulators allowed us to generate an 8-gene prognostic signature that can distinguish low-risk from high-risk GBM and potentially identify tumours that may benefit from treatment with endosomal recycling inhibitors. This study presents the first systematic analysis of the endosomal recycling pathway in glioblastoma and suggests it could be a promising target for the development of novel therapies and therapeutic strategies to improve outcomes for patients.

Journal: Biochemistry and Biophysics Reports

Publication Date: April 2024

DOI: DOI Number

Direct Link: View Article on Elsevier

Contact me