Dataset underlying publication: CarboTag: a modular approach for live and functional imaging of plant cell walls

doi:10.4121/3464fadd-ccb8-4a6c-9463-e3014bcdf984.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/3464fadd-ccb8-4a6c-9463-e3014bcdf984
Datacite citation style:
Besten, Maarten; Hendriksz, Milan; Michels, Lucile; Charrier, Benedicte; Smakowska-Luzan, Elwira et. al. (2024): Dataset underlying publication: CarboTag: a modular approach for live and functional imaging of plant cell walls. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/3464fadd-ccb8-4a6c-9463-e3014bcdf984.v1
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Dataset
Wageningen University and Research logo
geolocation
Wageningen University and research
lat (N): 51.984
lon (E): 5.6615
view on openstreetmap
time coverage
2022-2024
licence
cc-by.png logo CC BY 4.0

Plant cells are contained inside a rigid network of cell walls. Cell walls are highly dynamic structures that act both as a structural material and as a hub for a wide range of signaling processes. Despite its crucial role in all aspects of the plant life cycle, live dynamical imaging of the cell wall and its functional properties has remained challenging. Here, we introduce CarboTag, a modular toolbox for live functional imaging of plant walls. CarboTag relies on a small molecular motif, a pyridine boronic acid, that targets its cargo to the cell wall, is non-toxic and ensures rapid tissue permeation. We designed a suite of cell wall imaging probes based on CarboTag in any desired color for multiplexing. Moreover, we created new functional reporters for live quantitative imaging of key cell wall features: network porosity, cell wall pH and the presence of reactive oxygen species. CarboTag opens the way to dynamical and quantitative mapping of cell wall responses at subcellular resolution.

history
  • 2024-12-11 first online, published, posted
publisher
4TU.ResearchData
funding
  • Joris Sprakel and Maarten Besten are funded by the European Research Council (ERC) project CoG-CATCH (grant code CoG-CATCH) European Research Council (ERC)
organizations
Laboratory of Biochemistry, Wageningen University and Research;
Institute of Functional Genomics in Lyon (IGFL)

DATA

files (9)