From Discovery to Clinical Insights – the power of integrating proteomics and genomics data

The value of adding high-plex proteomics to existing genomics data and how proteogenomic approaches accelerate drug target discovery and repurposing

From Discovery to Clinical Insights – the power of integrating proteomics and genomics data

Recent advancements in the field of proteomics have revolutionized the field of multiomics. The SomaScan® Assay from SomaLogic is the only proteomic technology capable of high-plex (measuring over half of the human proteome – 11,000 proteins), high-throughput (rapid processing time and data turnaround), and high sensitivity (measuring both high- and low-abundant proteins) from a single biological sample. Please join us to learn the value of adding high-plex proteomics to existing genomics data and how proteogenomic approaches accelerate drug target discovery and repurposing.

Maik Pietzner, PhD

Maik Pietzner, PhD

Berlin Institute of Health at Charité
Universitätsmedizin Berlin, Berlin, Germany

Maik co-leads the group for Computational Medicine at the Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Germany and holds a chair for Health Data Modelling at the Precision Healthcare University Research Institute (PHURI), Queen Mary University of London, UK. He has co-led multiple efforts to associate human genetic variation at scale with intermediate molecular layers, such as proteomics and metabolomics, among various population-based studies that have identified novel pathophysiological pathways and possible treatment targets. His work on protein quantitative trait loci is spearheading the field and he has recently embarked on the integration of electronic health records to systematically augment the space of diagnosis and diseases amendable to in silico prioritisation of novel treatment targets, drug repurposing, or de-risking anchored on rare and common variation in the human genome. His influence on the field is demonstrated by an outstanding track record with publications in Science and the Nature family. Maik obtained his training and PhD in biomathematics at the University of Greifswald graduating with distinction.

From Discovery to Clinical Insights – the power of integrating proteomics and genomics data

A presentation by Maik Pietzner, PhD

Share with colleagues

More webinars

WebinarBoutique Webinar Aptamers with protein-like side chains as a versatile tool for high-content proteomics

Proteins, encoded in 20,000 genes in humans, do much of the work in biology. Measuring proteins, which change in response to various perturbations and represent targets for almost all drugs, offers insights about the health status of an organism. Since proteins operate in complex networks rather than in isolation, measuring multiple proteins simultaneously offers richer insights compared to single protein measurements.

Learn more

WebinarUsing Proteomics To Advance Understanding of Alzheimer’s Disease 

Limited understanding due to its complex pathophysiology and lack of definitive biomarkers currently constrains the diagnosis and treatment of Alzheimer’s disease (AD). But new research is uncovering dynamic brain changes during Alzheimer’s progression, offering potential therapeutic targets. This webinar explores how proteomics and systems biology can be integrated to elucidate AD pathology.

Learn more

WebinarPredictive modeling and reliable biomarker discovery in clinical omics studies 

High-content omic technologies coupled machine learning methods have transformed the biomarker discovery process. However, the translation of computational results into scalable clinical biomarkers remains challenging. A rate-limiting step is the rigorous selection of reliable biomarker candidates among a host of biological features. Drawing examples from real-world clinical omics studies, I will introduce Stabl, a general machine learning framework that identifies a sparse, reliable set of biomarkers by integrating noise injection and a data-driven signal-to-noise threshold into multivariable predictive modeling.

Learn more

Explore webinars in our interactive viewer