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Prof Jochen Schwenk – SciLifeLab | KTH Royal Institute of Technology

30/01/2024 2:00 pm - 30/01/2024 3:00 pm
Location
Davis Auditorium

WEHI Special Proteomics Facility Seminar hosted by Dr Laura Dagley

Professor Jochen Schwenk
Division of Affinity Proteomics, SciLifeLab and KTH Royal Institute of Technology, Sweden
 

Dynamic archetypes of the circulating proteome

 

Davis Auditorium

Join via TEAMS

Including Q&A session

 

Jochen M Schwenk is a Professor in Translational Proteomics at the KTH Royal Institute of Technology in Stockholm, Sweden. Located at the Science for Life Laboratory, his research focuses on innovative aspects to investigate circulating biomarkers in blood. His team studies different human phenotypes, covering aspects from study designs, pre-analytical variables, micro-sampling, assay development, and data integration to testing translational possibilities. Jochen has made significant contributions to various interdisciplinary and multi-omics research projects. Beyond this, he is the chair of HUPO’s Plasma Proteome Project, an elected member of HUPO’s Council, and a scientific director of SciLifeLab’s Affinity Proteomics Unit and the Human Protein Atlas. 

 

Recent technological advances in proteomics have enabled us to study the proteins circulating in the human blood of healthy and diseased donors at unprecedented depth, precision, and scale. The key to understanding and using the proteome’s dynamic architecture will require new learnings about possible sources of bias and pleiotropy across heterogeneous phenotypes. Over the last decade, we continuously developed validation schemes for (primarily) affinity proteomics efforts and included various data types to create knowledge from the analysis of clinical samples. More recently, we started to explore the potential of remote self-sampling of the general population outside the hospital. The challenge is to decompose the combinatorial dynamic and variability induced by pre-analytical, genetic, lifestyle, and clinical parameters and learn how these affect the dynamic architecture of the circulating proteomes. Despite improving our capabilities to profile human health and diseases, the blood sample collected for the analyses will remain a proxy and correlate of the phenotype. Besides longitudinal multi-omics efforts to describe person-specific proteomes, I will discuss the challenges and opportunities offered by deep profiling of self-sampling blood and data-driven analysis strategies to identify molecular archetypes. 

All welcome!

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