GBM cells display strong intrinsic plasticity and adapt reversibly to changing microenvironmental stimuli, forming a dynamic ecosystem. The role of tumour plasticity in creating treatment-resistant states is currently less understood. Here we will leverage existing and novel single cell RNA-Seq datasets to investigate transcriptomic changes in treatment-naive and treated tumours. We will apply advanced computational algorithms, including reference-free deconvolution methods, to reveal treatment-resistant states, their molecular signatures and regulators.
|CANBIO2 (Hamed Allahverdi)
|Effective start/end date
|1/12/23 → 30/11/27
- FNR - Fonds National de la Recherche: €170,000.00
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