Bioinformatics Seminar
Time: 11AM
Venue: Davis Auditorium and Teams
8 November 2022
Scaling proteomics to population size cohorts: Early insights and opportunities from ASPREE proteomics
Ahmed MohamedWEHI Bioinformatics
Proteomics analysis of biofluids has a demonstrated potential to be a rich source of disease biomarkers. Despite the numerous case-control studies in biofluid proteomics, clinical translation from bench to bedside remains poor. While large-scale population proteomics offer greater potential for clinical translation, technical challenges and inherent variability of LC-MS systems have hindered further progress in the field. In this seminar, I present our journey to develop a robust pipeline for scalable proteomics using highly controlled sample and data processing workflows. Using a data-driven experimental design, we are in the process of producing the largest proteomics dataset ever-generated, profiling two timepoints of >12,000 urine samples from the ASPREE cohort with an average over 10,000 peptides per sample. I present an exploratory analysis of a data subset, focusing on consistency, coverage, within and across batch variability. I describe opportunities for statistical and machine-learning model development, harnessing the sophisticated experimental design and extensive clinical metadata curated by ASPREE.