Dynamic videonanoscopy of the interactions between T cells and thymic epithelial cells
T-cell acute lymphoblastic leukemia (T-ALL) result from the malignant transformation of developing T cells. Having a poor prognosis, they lead to relapse due to resistance to chemotherapy. Thymic epithelial cells (TEC) and leukemic cells stimulate each other by unknown signals. Our preliminary data show a gradual overexpression of the cytokine RANKL by leukemic cells in a spontaneous mouse model of T-ALL. Furthermore, the addition of an anti-RANKL blocking antibody to a coculture of leukemic cells and TECs expressing the RANK receptor inhibits leukemia growth. Although its role in leukemogenesis is unknown, the RANK/RANKL axis, involved in several tumors, is a promising therapeutic target. The challenge of this project is to study RANK/RANKL interactions between TECs and T-ALL cells by fast videonanoscopy, determining the spatiotemporal entanglement of the RANK and TCR pathways at the immunological synapse and their deregulation in T-ALLs.
Single molecule tracking, super-resolution, videonanoscopy, diffusion, membrane dynamics, leukemia, thymic crosstalk, immune synapse, T cell, medullary thymic epithelial cell, RANK/RANKL
Our hypothesis is that the signals exchanged between TECs and T-ALL cells play a key role in leukemogenesis. The objective is to determine the spatiotemporal organization of RANK and RANKL at the immunological synapse and to evaluate its impact on leukemogenesis. We will attempt to disrupt these dynamics using an anti-RANKL blocking antibody, to test new therapeutic strategies for T-ALL.
Proposed approach (experimental / theoretical / computational)
In the context of this biophysical project, we will use fast videonanoscopy to measure diffusion within cell membranes. Ligand/receptor interactions will be studied using physiological and leukemic cell models and innovative tools for the analysis of molecular trajectories, reconstructed by a proprietary algorithm, Multi-Target Tracing. We will develop a pipeline of Matlab functions dedicated to the characterization of these measurements. We will identify ligand/receptor interactions at contacts between TECs and T-ALL cells. We will extend our measurements to the simultaneous tracking of TCR, MHCII, RANK and RANKL, and then to primary normal or leukemic T cells, from healthy donors or patients.
This interdisciplinary project targets the interactions between leukemic and stromal cells in the thymus by single-molecule tracking. The aim of this PhD project, at the interface between immunology, biophysics, and image analysis, is to characterization molecular dynamics at contacts between TECs and T-ALL cells. The project addresses on one side the Brownian motion of membrane receptors and its repercussions on the organization of cell contacts, with a need to develop innovative imaging techniques and analysis software. On the other side, it concerns the biology of cellular and molecular interactions during leukemogenesis, with a need for tools to improve single molecule labeling.
We are seeking for an interdisciplinary profile in biophysics, with a strong background in immunology. Knowledge in cell and molecular biology would be an asset. Concerning the biophysical side of the project, we are looking for a candidate with good experience in programming, in Matlab or equivalent, for image analysis and basic knowledge in optics. Background in statistics would also be appreciated. Language: good level in English, French would be a plus.
Is this project the continuation of an existing project or an entirely new one? In the case of an existing project, please explain the links between the two projects
We have already started to investigate the dynamics of the immune synapse. We are setting up the protocols for TECs and T-ALL cells labeling and videonanoscopy measurements. We are further developing the analysis codes to extend our analyses to any number of molecular populations, in terms of colocalizations and combined distribution of relevant parameters.
2 to 5 references related to the project
- Ahern, E., et al. (2018). Nat. Rev. Clin. Oncol.
- Neve-Oz, Y. et al. (2015). Biochim Biophys Acta
- Passaro, D. et al. (2016). Immunol. Rev.
- Paszek, M.J. et al. (2014). Nature
- Sergé, A. et al. (2008). Nat Methods
- Sergé, A. et al. (2008). Nat Methods
- Sergé, A. et al. (2008). Dynamic multiple-target tracing to probe spatiotemporal cartography of cell membranes. Nature Method
3 main publications from each PI over the last 5 years
- Gorshkova, O., Cappaï, J., Maillot L.. and Sergé, A. (2021). Analyzing and destabilizing leukemic stem cell adhesion to bone-marrow stromal cells by single molecule tracking nanoscopy. J Cell Sci
- Sergé, A. (2016). The Molecular Architecture of Cell Adhesion: Dynamic Remodeling Revealed by Videonanoscopy. Front Cell Dev Biol
- Irla, M. (2021). RANK Signaling in the Differentiation and Regeneration of Thymic Epithelial Cells. Front Immunol
- Lopes, N., Vachon, H., Marie, J. and Irla, M. (2017). Administration of RANKL boosts thymic regeneration upon bone marrow transplantation. EMBO Mol Med
Arnauld Sergé & Magali Irla
- Maillot L, Irla M, Sergé A. (2022 )Single Molecule Tracking Nanoscopy Extended to Two Colors with MTT2col for the Analysis of Cell- Cell Interactions in Leukemia. Bio-Protocol
- McCarron MJ*, Irla M*, Sergé A, Soudja SM, Marie JC. (2019) Transforming Growth Factor-beta signaling in thymocytes promotes negative selection. Nature Communications *Equal contribution