biomodeling talk on Friday: Denis Thieffry
Chetan Gadgil
Dear colleagues,
You are invited for a talk by Prof. Denis Thieffry, a pioneer in the use of discrete state logic models for biological regulatory networks. There will be time for an informal interaction with the speaker over tea after the talk.
Title: " Reproducible computational modelling of Acute Promyelocytic Leukaemia resistance to Retinoic Acid therapy"
Speaker: Prof. Denis Thieffry, Ecole Normale Supérieure & Institut Curie, PSL University, Paris, France
Time: 31st October 2025, Friday 4:00 - 5:30pm
Venue: CEPD lecture Hall, CSIR-NCL
Abstract:
Acute Promyelocytic Leukaemia (APL) arises from an aberrant chromosomal translocation involving the Retinoic Acid Receptor Alpha (RARA) gene, predominantly with the Promyelocytic Leukaemia (PML) or Promyelocytic Leukaemia Zinc Finger (PLZF) genes. The resulting oncoproteins block the haematopoietic differentiation program promoting aberrant proliferative promyelocytes. Retinoic Acid (RA) therapy is successful in most of the PML::RARA patients, while PLZF::RARA patients frequently become resistant and relapse. Recent studies pointed to various underlying molecular components, but their precise contributions remain to be deciphered. In this respect, we have integrated the main underlying signalling, transcriptional and epigenetic regulatory mechanisms into a mechanistic network model. Using a logical formalism, we have demonstrated that this model captures key features of the APL cell responses to RA depending on the genetic background. The explicit inclusion of the histone methyltransferase EZH2 allowed the assessment of its role in the resistance mechanism, distinguishing between its canonical and non-canonical activities. The model dynamics was thoroughly analysed using tools integrated in the public software suite maintained by the CoLoMoTo consortium (https://colomoto.github.io/). The model serves as a solid basis to assess the roles of novel regulatory mechanisms, as well as to explore novel therapeutical approaches in silico.
Regards,
Chetan
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Chetan Gadgil, PhD
Scientist, Chemical Engineering Division,
National Chemical Laboratory, Pune 411008
Dean, Engineering Sciences, AcSIR
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Chetan Gadgil
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