98 Proteomic Throughput And Depth Are Improving Exponentially Advances in mass spectrometry and bioinformatics have improved proteomic analysis dramatically over the past decade, increasing resolution, accuracy, and the capacity to analyze multiple samples simultaneously. Not only have these developments enabled detailed exploration of the proteome in health and disease, but they also have accelerated the discovery of cancer biomarkers and the development of targeted therapies. Y G O 100,000 Throughput (LHS) 10,000 L 120% CAGR O Depth (RHS) HN r C u 1,000 e E o l T H p D r 10,000 am N e ) S P t A u 100 / d h) S e ins t L yz ghp e p O u t e O o o T 10 r (D Analhr P C 1,000 (T 40% CAGR e MI ins u e O t 1 niq I o T r U L P MU 100 0 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 SRM XL-MS Parallel Real-Time Single ITRAQ SWATH-MS Reaction Ion-Mobility Real-Time AI/ML*** Single-Cell Molecule Proteomic TMT* HRAM** Monitoring Mass Spec Search Techniques Proteomics Sequencing *SRM: Single reaction monitoring; XL-MS: cross-linking mass-spectrometry; ITRAQ: isobaric tagging; TMT: tandem mass spectrometry. **SWATH-MS: sequential window acquisition of all theoretical fragment ion spectra mass spectrometry. ***AI/ML: Artificial Intelligence/Machine Learning. Sources: ARK Investment Management LLC, 2024. This ARK analysis is based on a range of external sources, including Peters-Clarke et al. 2023, and Zhang and Cui 2022, which may be provided upon request. Forecasts are inherently limited and cannot be relied upon. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security. Past performance is not indicative of future results.