About the Talk
Presenter
Dr. Evangelia Petsalaki
Dr. Evangelia Petsalaki was born in Athens. She completed her undergraduate studies in Biology at the University of Athens, writing a thesis on using neural networks to predict the subcellular localisation of proteins. She then moved to EMBL Heidelberg for a PhD (2009) in structural bioinformatics under the supervision of Rob Russell, focusing on predicting peptide binding in protein structures. She carried out her postdoctoral research under Tony Pawson and Fritz Roth, working on projects spanning Rho signalling, proteomics, phosphoproteomics and yeast genetics. Since 2017 she has been a research group leader at EMBL-EBI, where her group studies the principles underlying context-specific cell signalling responses in humans, primarily using network-based approaches.
Abstract
Our work focuses on understanding the organising principles of cell signalling that drive diverse and context-specific cellular responses. Traditional linear pathways often fall short of capturing the complexity of these networks, particularly when factors such as tissue type and genetic background are taken into account.
In this talk I will present the network-based methods our group has developed for extracting active network signatures from omics datasets. These methods make it possible to study condition-specific signalling networks and their phenotypic effects.
I will also introduce CEN-tools, an integrated web server and Python package designed to explore gene essentiality across different contexts, and discuss the linear model we developed to disentangle the effects of tissue types and cancer mutations on context-specific essentiality.
Date: July 16th, 2024 – 4:00 PM (GMT+3)
Venue: Zoom
Language: English