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Pint of Science returns to Cardiff for National Postdoc Appreciation Week 2022! (NPAW2022). Come along and celebrate some of Cardiff's fantastic postdocs as they take us through some of their research. Postdocs are an essential part of our institute as they share their knowledge, skills and advise. This event will showcase their excellence and is kindly sponsored by Proteintech who will provide refreshments and goodies on the day!
#NPAW2022 #CelebratePostdocs @proteintech @pintofscience
#NPAW2022 #CelebratePostdocs @proteintech @pintofscience
Contracting expanded CAG/CTG repeats using the Cas9 nickase
Dr Alvaro Murillo
(Postdoctoral Researcher)
Alvaro started his scientific career focusing on autophagy activation as a new treatment to remove huntingtin aggregates that drive Huntington’s disease pathogenesis and obtained a bachelor and master’s degree from Salamanca University. After that, he enrolled in Isabel Perez-Otano’s lab in 2015, where he continued to study Huntington’s disease. He helped developed a RNAi-Based silencing treatment against GluN3A, which prevents and reverses disease phenotypes in a mouse model. His further work on temporal and neuronal specificity of GluN3A mRNA expression will open new paths towards understanding neuronal circuits.
After finishing his PhD, Dr Alvaro joined Vincent Dion’s group in 2020 at Cardiff University where he is interested in the efficacy and safety of inducing contractions using the CRISPR/Cas9 nickase as a treatment in tandem repeat disorders.
After finishing his PhD, Dr Alvaro joined Vincent Dion’s group in 2020 at Cardiff University where he is interested in the efficacy and safety of inducing contractions using the CRISPR/Cas9 nickase as a treatment in tandem repeat disorders.
Investigating Alzheimer’s disease using patient-derived stem cell models of the brain
Dr Nina Stoberl
(Research Associate)
Alzheimer's disease (AD) is a neurodegenerative disorder and the most common cause of dementia, however to date, there is no disease-modifying treatment available. All currently used AD models use single-gene mutations linked to early-onset AD, rather than attempting to model the much more common, but more complex late-onset AD. Genome-wide association studies have identified over 50 genetic mutations contributing to late-onset AD and the effect of these genes on an individual can be calculated. Samples from patients with a high genetic risk of AD and controls with low risk were identified and we generated stem cells from these individuals. We are now able to investigate the effect of AD on different brain cells using complex 2D and 3D models.
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