Identification of novel anti-leukemic T cellreceptors for development of cell therapies using patient blood samples and cutting-edge computational modeling.

The aim of this project is to develop a robust workflow and to identify promising T-cell receptors (TCRs) for the development of T cell-based immunotherapies, focusing on the leukemia-associated antigen Wilms' tumor-1 (WT1). For this, a unique collection of blood samples is available from acute myeloid leukemia (AML) patients in the context of our academic clinical trials investigating WT1-loaded dendritic cell (DC) vaccination, a cellular immunotherapy designed to activate WT1-specific T cells. By combining specialized cell sorting techniques with in-house developed bioinformatic tools, single-cell TCR and RNA sequencing will be integrated with cutting-edge computational models to link the specificity and transcriptomic profile of these T cells with patients' clinical responses.

Keywords:T CYTOTOXIC LYMPHOCYTE, CANCER THERAPY, BIOINFORMATICS, SEQUENCING

Disciplines:Computational biomodelling and machine learning, Development of bioinformatics software, tools and databases, Single-cell data analysis, Applied immunology, Cancer therapy