Dr Elise Laruelle Research Portfolio

Research Interests

I am interested in understanding the cellular patterning, quantifying and modelling how they are emerging during development and what factors are regulating them, in order to find the role of the cell organization in the realization of the tissue function.

As a biologist by training, I have developed computational expertise during my research experiences by analyzing tissue organization at the cell level with image analysis and modelling methods.

I have a bachelor degree in biology and a masters in cellular systems biology. For my PhD I studied the cellular organization of the Arabidopsis thaliana embryo. During my previous postdoc I worked on the spatial organization of cells in epithelia.

In the group of Sarah Robinson at the Sainsbury Laboratory, I am studying the relation between plant cell wall stiffness and cellular growth with modelling and image analysis methods.

Leaf epidermal cell shape shuffling, simulation done with the dmSET algorithm (Laruelle and Genovesio, ISBI, 2022)

Previous Experience

2020-2022: Postdoc in August Genovesio’s group, IBENS, Paris, France.

2018-2020: Postdoc under the supervision of August Genovesio and Nathalie Spassky, IBENS, Paris, France.

2013-2017: PhD Student under the supervision of Jean-Christophe Palauqui, Alain Trubuil and Phillipe Andrey, INRAE, Versailles and Jouy-en-josas, France.

Key Publications

Laruelle, E., Palauqui, J. C., Andrey, P., & Trubuil, A. (2023). TreeJ: an ImageJ plugin for interactive cell lineage reconstruction from static images. Plant Methods, 19(1), 128.https://doi.org/10.1186/s13007-023-01106-x

Laruelle, E., Belcram, K., Trubuil, A., Palauqui, J. C., & Andrey, P. (2022). Large-scale analysis and computer modeling reveal hidden regularities behind variability of cell division patterns in Arabidopsis thaliana embryogenesis. Elife, 11, e79224.https://doi.org/10.7554/eLife.79224

Laruelle, E., & Genovesio, A. (2022, March). Non-Convex Cell Epithelial Modeling Unveils Cellular Interactions. In 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (pp. 1-5). IEEE. 10.1109/ISBI52829.2022.9761452

Laruelle, E., Spassky, N., & Genovesio, A. (2020). Unraveling spatial cellular pattern by computational tissue shuffling. Communications Biology, 3(1), 605.https://doi.org/10.1038/s42003-020-01323-3