Leading Scientists Demonstrate How Seer's Proteograph Product Suite Advances Cardiovascular and Neurodegenerative Research at US HUPO 2026
SeerSeer(US:SEER) Globenewswire·2026-02-19 12:00

Core Insights - Seer, Inc. is participating in the 2026 U.S. Human Proteome Organization Annual Conference, showcasing its Proteograph Product Suite which addresses complex questions in major disease areas and supports clinical and population health applications [1][2] Company Participation and Presentations - Seer will be featured in over a dozen scientific presentations at the conference, highlighting the adoption of nanoparticle-enabled proteomics in translational and population-scale research [2][7] - The company will host a breakfast symposium on February 24, where Dr. Sasha A. Singh will present findings on using the Proteograph Product Suite to profile plasma in a mouse model of atherosclerosis, achieving a tenfold increase in proteome depth compared to conventional methods [5] Technological Advancements - The Proteograph Product Suite is enabling deeper, scalable, and reproducible mass spectrometry measurements of the human proteome, which is crucial for advancing translational research [4][10] - The technology allows for the quantification of over 5,000 proteins from just 75 µL of plasma, addressing challenges in detecting low-abundance proteins [5] Research Focus Areas - Presentations at the conference will cover various disease areas including cardiovascular disease, neurodegeneration, aging biology, and oncology, demonstrating the broad application of deep, scalable proteomics [2][7] - Nathan Basisty will discuss the translation of aging biology into biomarkers and therapeutic strategies during a plenary session, emphasizing the role of proteomic technologies [6] Industry Impact - The conference reflects a broader shift in proteomics towards high-throughput workflows that enhance biological insights across multiple disease areas [10] - Seer's technology is positioned as a key player in advancing the field of proteomics, supporting reproducible research at scale [4][11]