Logical model of the regulatory network underlying Retinoic Acid resistance in Acute Promyelocytic Leukaemia

Taxon: Mammal
Process: Cancer
Submitter: Pedro Monteiro

Supporting paper: Sánchez-Villanueva J and N'Guyen L and Poplineau M and Duprez E and Remy É and Thieffry D (2024). Dynamical modelling of the regulatory network underlying Retinoic Acid resistance in Acute Promyelocytic Leukaemia. . 10.5281/ZENODO.10901795

Model file(s)	Description(s)
SanchezVillanueva_RA_APL_model_19Nov2024.zginml	APL model file in zginml format, to be open with GINsim 3.0
SanchezVillanueva_RA_APL_model_19Nov2024.sbml	APL model in SBML qual format (level3)
Jupyter_Notebook_for_APL_model_7Dec2024.ipynb	Python notebook containing all the code necessary to reproduce the analyses reported in the manuscript, to be run using the CoLoMoTo environment, available as a conda package or as a Docker container from https://colomoto.github.io/

Summary:
This logical network model integrate signalling, transcriptional and epigenetic regulatory mechanisms underlying the Acute Promyelocytic Leukaemia cell responses to RA treatment depending on their genetic background. The explicit inclusion of the histone methyltransferase EZH2 allowed us to assess its role in the maintenance of the resistant phenotype, distinguishing between its canonical and non-canonical activities. Ultimately, this model offers a solid basis to assess the roles of novel regulatory mechanisms, as well as to explore novel therapeutical approaches in silico.