M2 Bioinformatics & Modelling, Sorbonne Université
Integration of multi-level single cell molecular data to unravel the mechanisms of oncogene activation effect on cellular phenotypes.
We investigate oncogene effects on cancer cells driving the shift from wild-type to malignant phenotype using single-cell data. Getting rid of patient-specific information among several cancer datasets is a crucial consideration to answer this question, as it blurs tumoral signal of interest. Furthermore, developing methods allowing for information integration between several data acquisition techniques (RNA-seq, ATAC-seq…) may yield very insightful and relevant results for investigating systems biology of cancers.