Bioinformatics Seminar
Time: 11AM
Venue: Davis Auditorium and Online
26 September 2023
Guided by Design: Navigating the Complexities of the Large-Scale ASPREE Proteomics Data
Ahmed MohamedWEHI Bioinformatics
The analysis of proteomics in biofluids offers immense promise for the identification of disease biomarkers. Yet, despite numerous investigations, its transition from the realm of research to practical clinical application remains elusive. While large-scale population proteomics possesses a transformative potential for clinical utility, progress has been limited by technical challenges and the inherent variability of LC-MS systems. We previously presented a robust protocol for comprehensive proteomics profiling, anchored by consistent sampling and data processing techniques. Utilising data-centric experimental design, we generated the most expansive LC-MS proteomics dataset to date, boasting 30,000 runs and profiling over 12,000 urine samples from the ASPREE cohort across two timepoints. In this seminar, I will delve into the complexities and resolutions surrounding the management of this large-scale dataset, which includes sensitive clinical data. I will spotlight how our sophisticated experimental design not only verified the dataset's consistency, comprehensiveness, and variability – both intra and inter-batch – but also guided our data processing and analytical strategies. Finally, I will highlight the vast potential to combine the dataset with extensive clinical metadata for biomarker discovery.