MorphoGraphX: A platform for quantifying morphogenesis in 4D

Author:

Barbier de Reuille Pierre1,Routier-Kierzkowska Anne-Lise2,Kierzkowski Daniel2,Bassel George W3,Schüpbach Thierry4,Tauriello Gerardo5,Bajpai Namrata2,Strauss Sören2,Weber Alain1,Kiss Annamaria67,Burian Agata18,Hofhuis Hugo2,Sapala Aleksandra2,Lipowczan Marcin8,Heimlicher Maria B9,Robinson Sarah1,Bayer Emmanuelle M10,Basler Konrad9,Koumoutsakos Petros5,Roeder Adrienne HK11ORCID,Aegerter-Wilmsen Tinri9,Nakayama Naomi112,Tsiantis Miltos2,Hay Angela2,Kwiatkowska Dorota8,Xenarios Ioannis4,Kuhlemeier Cris1,Smith Richard S12

Affiliation:

1. Institute of Plant Sciences, University of Bern, Bern, Switzerland

2. Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany

3. School of Biosciences, University of Birmingham, Birmingham, United Kingdom

4. Swiss Institute of Bioinformatics, Lausanne, Switzerland

5. Chair of Computational Science, ETH Zurich, Zurich, Switzerland

6. Reproduction et Développement des Plantes, Ecole Normale Supérieure de Lyon, Lyon, France

7. Laboratoire Joliot Curie, Ecole Normale Supérieure de Lyon, Lyon, France

8. Department of Biophysics and Morphogenesis of Plants, University of Silesia, Katowice, Poland

9. Institute of Molecular Life Sciences, Zurich, Switzerland

10. Laboratory of Membrane Biogenesis, University of Bordeaux, Bordeaux, France

11. Weill Institute for Cell and Molecular Biology and School of Integrative Plant Science, Section of Plant Biology, Cornell University, Ithaca, United States

12. Institute of Molecular Plant Sciences, University of Edinburgh, Edinburgh, United Kingdom

Abstract

Morphogenesis emerges from complex multiscale interactions between genetic and mechanical processes. To understand these processes, the evolution of cell shape, proliferation and gene expression must be quantified. This quantification is usually performed either in full 3D, which is computationally expensive and technically challenging, or on 2D planar projections, which introduces geometrical artifacts on highly curved organs. Here we present MorphoGraphX (www.MorphoGraphX.org), a software that bridges this gap by working directly with curved surface images extracted from 3D data. In addition to traditional 3D image analysis, we have developed algorithms to operate on curved surfaces, such as cell segmentation, lineage tracking and fluorescence signal quantification. The software's modular design makes it easy to include existing libraries, or to implement new algorithms. Cell geometries extracted with MorphoGraphX can be exported and used as templates for simulation models, providing a powerful platform to investigate the interactions between shape, genes and growth.

Funder

Schweizerische Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Human Frontier Science Program (HFSP)

European Research Council (ERC)

Biotechnology and Biological Sciences Research Council (BBSRC)

University Of Birmingham

Universitat Zurich

Narodowe Centrum Nauki

Deutsche Forschungsgemeinschaft

Max-Planck-Gesellschaft

The Swiss Initiative in Systems Biology

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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