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Presented By: Mathew H. Horrocks, PhD Speaker Biography: Mathew was born and brought up in Halifax, West Yorkshire, before studying Chemistry at Oriel College, University of Oxford. He did his Master's project with Professor Mark Wallace, where he was first introduced to single-molecule techniques. Following this, he moved to the University of Cambridge to work with Professor David Klenerman, developing microscopy techniques to study the protein aggregates formed in neurodegenerative disorders, such as Parkinson’s and Alzheimer’s disease. Following a brief stint researching in New South Wales, Australia, Mathew returned to Cambridge in 2016 to take up a Junior Research Fellowship at Christ’s College, and a Herchel Smith Fellowship at the University of Cambridge. He moved to the University of Edinburgh to start his independent lab group in 2018. He was promoted to Senior Lecturer (Associate Professor) in 2022, and is the recipient of the Royal Society of Chemistry’s Joseph Black Award (2022) for Analytical Chemistry. Webinar: Visualizing Protein Aggregates at the Single-Molecule Level Webinar Abstract: Protein misfolding and aggregation are key features observed in numerous neurodegenerative conditions, such as Alzheimer's and Parkinson's disease. The oligomers formed during the aggregation process likely play a significant role in the development of these diseases and represent promising candidates for biomarkers. Nevertheless, due to their small size and low concentrations, there is a current lack of specific tools for quantifying and characterizing these aggregates in complex biological samples. In this presentation, I will introduce our recently devised single-molecule techniques, designed to overcome this obstacle by investigating immobilized proteins using detection antibodies labeled in an orthogonal manner. Through the analysis of colocalized signals, we can eliminate monomeric protein, and accurately quantify aggregated proteins. Using the aggregation-prone alpha-synuclein protein as a model, we illustrate that this approach can selectively identify aggregates with a detection limit of 5 picomolar. Furthermore, we demonstrate its applicability across various samples, including human biofluids. Our method is versatile and can be applied to protein aggregates associated with diverse disorders, contributing to the identification of crucial biomarkers for improved diagnostic efforts in these diseases. Earn PACE Credits: 1. Make sure you’re a registered member of Labroots (https://www.labroots.com/) 2. Watch the webinar on YouTube or on the Labroots Website (https://www.labroots.com/ms/webinar/v...) 3. Click Here to get your PACE credits (Expiration date – March 06, 2026): (https://www.labroots.com/credit/pace-... Labroots on Social: Facebook: / labrootsinc Twitter: / labroots LinkedIn: / labroots Instagram: / labrootsinc Pinterest: / labroots SnapChat: labroots_inc