Thesis supervisor: Péter Csermely
Location of studies (in Hungarian): Semmelweis Egyetem Abbreviation of location of studies: SE
Description of the research topic:
Network science is a rapidly developing interdisciplinar segment which allows to investigate such complex systems as tumorigenesis and tumor progression. The biological datasets become effectively analyseable using network scientific tools, therefore otherwise hidden targets and correlations can be identified.
The aim of the research is to analyze multiomics datasets of various cancer types (such as prostate, esophageal, gastric, pancreatic cancer) along with experimental verification of the results. The project focuses on the process of oncogenesis, the signs of cancer progression (e.g. EMT) and drug resistance mechanisms. We apply transcriptomics (RNASeq, microarray) and proteomics (LC-MS/MS) data on human signaling and protein-protein interaction (PPi) networks for this purpose. Therefore, even cancer-specific network models can be created.
Research plan includes:
• Investigation of network structure, focusing on modules, hubs, intermodular bridges and overlaps. Finding nodes having critical role in the adaptive responses to environmental perturbations of networks, which might be considered as potential drug targets.
• We are searching for newly evolving specific links on the network periphery, as they possibly create shortcuts between formerly distant nodes, referring to alternative signalling pathways (’cross-talks’).
• Further examination of the identified genes with potential role in cancer progression might be validated using in vitro experiments.
Deadline for application: 2022-10-10
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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