WEBINAR

A Multi-Omics View of Histone Modifications and Metabolism in Acute Myeloid Leukemia (AML)

Watch the webinar to discover how correlation-based multi-omics analysis with Omics Playground reveals molecular insights into AML stemness and disease variability.

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Maarten Dhaenens
Scientific Director ProGenTomics

Axel Martinelli
Head of Biology
BigOmics Analytics

About

The phenotype is not simply a direct manifestation of the genome (Noble, 2024; Philip Ball, 2023). In fact, attributing functions, traits or diseases solely on the basis of genetic aberrations has proven to be an oversimplification. Even protein function alters drastically as a product of its highly dynamic environment, i.e subcellular localization and cellular context, and therefore cannot be solely encoded in the genomic sequence. More specifically, the complex interactions with neighboring proteins and metabolites together lead to higher-level molecular networks, i.e. macroscales, that boost biological resilience, most notably in Eukaryotes (Klein et al., 2021).

Stemness is a phenotypic manifestation that is equally a driver mechanism in many cancers (Loh & Ma, 2024), like in Acute Myeloid Leukemia (AML), a heterogeneous hematologic disease that is characterized by unrestricted proliferation of abnormal myeloid precursor cells within the bone marrow, which results in impaired hematopoiesis. In this webinar, Prof. Maarten Dhaenens will present a multi-omics molecular phenotyping study of 18 AML cell lines, demonstrating how correlation-based analysis of the histone epigenome, metabolome, and proteome reveals molecular associations underlying AML stemness.

Using Omics Playground, he will show how data-driven exploration moves beyond traditional differential analysis to uncover actionable therapeutic insights.

This session is ideal for researchers, bioinformaticians, and life-science professionals interested in:

Next-generation analytics for multi-omics data
Network- and correlation-based biomarker discovery
Translational applications in leukemia and cancer research

Speakers

Dr. Maarten Dhaenens received a Master’s degree in Zoology from Ghent University, Belgium, in 2002, where he was chasing East-African millipedes for his master’s dissertation. Following an additional masters in Medical Molecular Biotechnology, he joined the lab of Pharmaceutical Biotechnology where he first encountered mass spectrometry and later became executive principle investigator of the proteomics department when he finished his PhD in 2011.

In 2017 he founded ProGenTomics, a proteomics service lab specialized in histone analysis, which became the official proteomics core facility of Ghent University in 2023. Maarten was founding president of the European Young Proteomics Investigators Club (YPIC) in 2016 and became president of the Belgian Proteomics Association (BePA) in 2018. I 2024, he resigned from the latter and became Chair of the Industry Committee at EuPA.

Dr. Axel Martinelli is Head of Biology at BigOmics Analytics, a Swiss startup building intuitive platforms for omics data visualization and analysis. He holds a Ph.D. in molecular biology and a Master in bioinformatics. His research background spans parasitic genomics at the Wellcome Trust Sanger Institute and malaria-focused studies as an Assistant Professor at Hokkaido University. At BigOmics, he bridges lab and computational expertise to make advanced omics analysis accessible to researchers worldwide.

References

Klein, B., Hoel, E., Swain, A., Griebenow, R., & Levin, M. (2021). Evolution and emergence: higher order information structure in protein interactomes across the tree of life. Integrative Biology, 13(12), 283–294. https://doi.org/10.1093/intbio/zyab020

Loh, J.-J., & Ma, S. (2024). Hallmarks of cancer stemness. Cell Stem Cell, 31(5), 617–639. https://doi.org/10.1016/j.stem.2024.04.004

Noble, D. (2024). It’s time to admit that genes are not the blueprint for life. Nature, 626(7998), 254–255. https://doi.org/10.1038/d41586-024-00327-x

Philip Ball. (2023). How Life Works. The University of Chicago Press.

About Omics Playground

Omics Playground is user-friendly centralized data discovery platform for RNA-Seq and proteomics data that allows you to store and interactively visualize data from your experiments.

Easy-to-use and interactive solution
With more than 100 HQ plots for your publications
Unified biodata management & analytics
With highly interactive dashboards in more than 18 modules
Robust and reproducible results
Best-in class algorithm and co-analysis with more than 6000 public dataset
Analytics anywhere. Anytime
The cloud-based platform allows you to share data with your collaborators 24/7