Online Webiner - From Proteome to Complexome: Unveiling the Next Frontier in Proteogenomics

Abstract

Protein complexes orchestrate nearly all biological functions, yet their systemic roles and genetic regulation in human health remain largely elusive due to the limitations of traditional proteomics in capturing subunit-level interactions. Dr. Xia Shen describes a novel AI-based protein complex deconvolution framework, enabling quantification of protein complexes using large-scale affinity proteomics data. These protein complex analyses offer stronger and more interpretable links to disease phenotypes than conventional protein markers. Notably, complex-specific markers prioritized by genetics are substantially more likely to align with known therapeutic mechanisms. 

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In this webinar, you will: 

• Learn how AI-based deconvolution turns Olink/SomaScan–scale datasets into quantitative readouts of protein complexes, exposing biology invisible to single-protein views.
• See how complex-level signals integrate with pQTLs, colocalization, and MR (Mendelian randomization) to move from association to mechanism and nominate actionable biomarkers.
• Learn why genetics-prioritized complex markers align better with known therapeutic mechanisms than conventional markers, improving hit-to-lead decisions.
• Have practical guidance for teams working with affinity proteomics who want to extract complex-aware insights for discovery and translational pipelines.

Speaker

Dr. Xia Shen, PI

Greater Bay Area Institute of Precision Medicine, Fudan University (Guangzhou)

Department of Medical Epidemiology & Biostatistics, Karolinska Institutet

Usher Institute, University of Edinburgh.

November 18^th 9AM – 10AM Eastern Time.

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Selected publications

1. Repetto L, Chen J, Yang Z, Zhai R, Li T, Richmond A, et al. The genetic landscape of neuro-related proteins in human plasma. Nat Hum Behav. 2024;8:2222-2234. doi:10.1038/s41562-024-01963-z.
2. Yang Z, Macdonald-Dunlop E, Chen J, Zhai R, Li T, Richmond A, et al. Genetic landscape of the ACE2 coronavirus receptor. Circulation. 2022;145(18):1398-1411. doi:10.1161/CIRCULATIONAHA.121.057888.
3. Li T, Ning Z, Yang Z, Zhai R, Xu W, Ying K, et al. Total genetic contribution assessment across the human genome. Nat Commun. 2021;12(1):2845. doi:10.1038/s41467-021-23124-w.
4. Ning Z, Pawitan Y, Shen X. High-definition likelihood inference of genetic correlations across human complex traits. Nat Genet. 2020;52(8):859-864. doi:10.1038/s41588-020-0653-y.
5. Ning Z, Lee Y, Joshi PK, Wilson JF, Pawitan Y, Shen X. A selection operator for summary association statistics reveals allelic heterogeneity of complex traits. Am J Hum Genet. 2017;101(6):903-912. doi:10.1016/j.ajhg.2017.09.027.
6. Shen X, Klarić L, Sharapov S, Mangino M, Ning Z, Wu D, et al. Multivariate discovery and replication of five novel loci associated with immunoglobulin G N-glycosylation. Nat Commun. 2017;8(1):447. doi:10.1038/s41467-017-00453-3.

Agenda

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