Regensburg 2019 – scientific program
BP 6.45: Poster
Monday, April 1, 2019, 17:30–19:30, Poster B2
Cross-talk between cell shape and state during cell fate transitions — •Wolfram Pönisch1, Irene Aspalter1, Agathe Chaigne1, and Ewa Paluch1,2 — 1MRC Laboratory for Molecular Biology, University College London, London, UK — 2Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
The development of an organism is characterized by a series of cellular fate transitions where cells acquire increasingly specialized phenotypes. Such fate transitions are often accompanied by cellular shape changes and there are strong indications of a coupling between cell shape and fate. Here, we present a pipeline to quantify and analyze cell shapes as cells undergo fate transitions. We will present how the morphometric features of cell shapes can be quantified and how the high dimensional dataset can be analyzed with the help of dimensional reduction methods such as PCA and tSNE. To identify clusters of cells and classify cells based on those clusters, we use a variety of machine learning algorithms. To apply our analysis pipeline, we study the coupling between cell shape and fate during the exit from naïve pluripotency in mouse embryonic stem cells. We find that cells can be classified into two unambiguously distinguishable clusters: While cells possess a spherical shape before exiting naïve pluripotency, they spread on a substrate after exiting. Furthermore, cell shape change appears to be essential for the associated fate change.