Secrier Lab
Computational Cancer Biology @ UCL Genetics Institute
The Secrier lab at the UCL Genetics Institute addresses fundamental questions on somatic evolution using cancer as a primary system of investigation, along two main axes:
(1) How mutational processes shape cellular plasticity and intrinsic adaptation to stress;
(2) How cells co-evolve with their microenvironmental niche to evade therapy and persist in the tissue.
We are interested in understanding the mutational processes underlying cancer development and the cell state transitions that enable progression to advanced malignancy, as well as the role of the tumour microenvironment in this process. To address such questions, we develop and apply cutting edge statistical modelling, data integration and machine learning methods to link bulk, single cell, spatial transcriptomics and digital pathology data. The lab has been awarded a UKRI Future Leaders Fellowship to explore the mutational processes and spatial context of tumour dormancy.
(1) How mutational processes shape cellular plasticity and intrinsic adaptation to stress;
(2) How cells co-evolve with their microenvironmental niche to evade therapy and persist in the tissue.
We are interested in understanding the mutational processes underlying cancer development and the cell state transitions that enable progression to advanced malignancy, as well as the role of the tumour microenvironment in this process. To address such questions, we develop and apply cutting edge statistical modelling, data integration and machine learning methods to link bulk, single cell, spatial transcriptomics and digital pathology data. The lab has been awarded a UKRI Future Leaders Fellowship to explore the mutational processes and spatial context of tumour dormancy.
Jacobson et al, Genome Med 2023.
Pan and Secrier. iScience 2023.
Wiecek et al, Genome Biol 2023.
Tagliazucci et al, Nat Commun 2023.
Secrier et al, Nat Genet 2016.
Misc