Description of the thesis topic

Cells adopt different fates and single cell RNA sequencing revealed that this occurs via 'cell trajectories', in which the transcriptome of a cell evolves from a one epigenetic state to another, and this in a cell-defined manner. This dynamic view is reconstructed a posteriori from snapshots of multiple cells located at different points along the trajectories. How a single cell makes choices and moves in real time along such trajectories is therefore not known. Here, the PhD candidate will address this key issue by developing novel methods enabling the visualization of gene transcription in single cells and real time. Mouse Embryonic Stem cells (mES) differentiating in neurons will be used as a model. The project will be done in close collaboration with an applied mathematics team, where another PhD student will model the gene regulatory networks involved.

Work Context

Team Edouard Bertrand at IGH/CNRS (Team Cell Biology of RNA).
https://www.igh.cnrs.fr/en/research/departments/genetics-development/biologie-cellulaire-de-larn

The position is located in a sector under the protection of scientific and technical potential (PPST), and therefore requires, in accordance with the regulations, that your arrival is authorized by the competent authority of the MESR.

Constraints and risks

Few hours of work on week-end for the maintenance of stem cells.