Contexte et atouts du poste
A postdoctoral position is open in the Inria Dracula team. The position is to be funded by an ANR grant (MEMOIRE project).
Partners of the project are Inria Dracula, Inserm Immunology team (Head Dr. J. Marvel), AltraBio (private company). While other partners will focus on single cell data analysis, our work will focus on the modeling part : inference of a gene regulatory network, integration into a multiscale model, and validation of the model by comparison with experimental data.
The position is an opportunity to be involved in a strongly interdisciplinary consortium, and to strengthen experience in computational immunology or computational biology by working on single cell data modeling.
The Inria Dracula team focuses on the development of methods and tools for the multiscale modeling of physiological processes, with applications, among others, in immunology (description of the immune response, vaccine design).
Dr. Olivier Gandrillon and Dr. Fabien Crauste will co-supervise the postdoc, they have a jointly experience of interdisciplinary works and have already co-supervised several postdocs on computational immunology-related projects.
The specific CD8+ T cell immune response is based on complex interactions between CD8+ T cells and other immune cells as well as target cells.
These interactions are either direct cell-to-cell interactions, relying on cell membrane contact, or cytokine mediated. In each case, surface proteins integrate signals that influence CD8+ T cell gene regulatory networks (GRN) that code for cell survival, differentiation, proliferation, and death.
Our group previously introduced a multi-scale model of the CD8+ T cell immune response based on the description and dynamical interaction of a CD8+ T cell dynamics model and a GRN model 1,2,3 .
The later, however, was focused on the interactions of only 6 genes, whose roles were identified in the literature.
The aim of this post-doctoral position is
1st / to implement in C++ / Python a GRN inferred from single cell data and described by a piecewise deterministic Markov model 4 , and
2nd / to couple the GRN with an existing cell dynamics model 2,3 , in order to
3rd / use the multiscale model to describe experimental data and to investigate the dynamics of CD8+ T cells.
The postdoctoral research will be part of an ANR-funded project, MEMOIRE, and the work will be performed in close collaboration with immunologists, located in Lyon.
It will require skills in interdisciplinary communication and computational biology.
1 S. Prokopiou, L. Barbarroux, S. Bernard, J. Mafille, Y. Leverrier, C. Arpin, J. Marvel, O. Gandrillon, F. Crauste (2014) Multiscale modeling of the early CD8 T cell immune response in lymph nodes : an integrative study.
Computation, 2(4), 159-181.
2 X. Gao, C. Arpin, J. Marvel, S. Prokopiou, O. Gandrillon, F. Crauste (2016) IL-2 sensitivity and exogenous IL-2 concentration gradient tune the productive contact duration of CD8+ T cell-APC : a multiscale modeling study.
BMC Systems Biology 10, 77.
3 S. Girel, C. Arpin, J. Marvel, O. Gandrillon, F. Crauste (2019) Model-based assessment of the role of uneven partitioning of molecular content on heterogeneity and regulation of differentiation in CD8 T-cell immune responses.
Front. Immunol. 10, 230.
4 A. Bonnaffoux, U. Herbach, A. Richard, A. Guillemin, S. Gonin-Giraud, PA. Gros, O. Gandrillon (2019) WASABI : a dynamic iterative framework for gene regulatory network inference.
BMC Bioinformatics 20 , 220.
In addition, the usage of various (deterministic, stochastic) mathematical formalisms and an experience in parameter estimation with experimental data will be considered as a plus.
Good ability for team playing will be appreciated.