Figures
Transport of the plant hormone auxin in a virtual meristem: A comparison between simulations and experimental data.
Top: observed distribution of auxin transporters (PIN proteins) in shoot apical meristem cells of Arabidopsis. The image was obtained by immunolabelling of the PIN1 auxin-carrier using confocal microscopy. Bottom left: Digitized version of the top image where the efflux carriers have been manually positioned. Bottom right: simulated distribution of efflux carriers (in red) emerging from a flux-based polarization hypothesis of auxin transport. This type of virtual experiment makes it possible to test in silico different hypotheses on mechanisms that are not fully accessible experimentally and to assess their plausibility by comparing predictions with experimental data (see Stoma et al., doi:10.1371/journal.pcbi.1000207).
Image Credit: Szymon Stoma (INRIA, Virtual Plants project team), Christophe Godin (INRIA, Virtual Plants project team), Jan Traas (ENS-Lyon, RDP)
Citation: (2008) PLoS Computational Biology Issue Image | Vol. 4(10) October 2008. PLoS Comput Biol 4(10): ev04.i10. https://doi.org/10.1371/image.pcbi.v04.i10
Published: October 31, 2008
Copyright: © 2008 Stoma et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Top: observed distribution of auxin transporters (PIN proteins) in shoot apical meristem cells of Arabidopsis. The image was obtained by immunolabelling of the PIN1 auxin-carrier using confocal microscopy. Bottom left: Digitized version of the top image where the efflux carriers have been manually positioned. Bottom right: simulated distribution of efflux carriers (in red) emerging from a flux-based polarization hypothesis of auxin transport. This type of virtual experiment makes it possible to test in silico different hypotheses on mechanisms that are not fully accessible experimentally and to assess their plausibility by comparing predictions with experimental data (see Stoma et al., doi:10.1371/journal.pcbi.1000207).
Image Credit: Szymon Stoma (INRIA, Virtual Plants project team), Christophe Godin (INRIA, Virtual Plants project team), Jan Traas (ENS-Lyon, RDP)