Research data in support of: A modular, dynamic, DNA-based platform for regulating cargo distribution and transport between lipid domains
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Authors
Eizagirre Barker, Simone
Cicuta, Pietro
Di Michele, Lorenzo
Publication Date
2021-03-16Type
Dataset
Metadata
Show full item recordCitation
Rubio Sanchez, R., Eizagirre Barker, S., Walczak, M., Cicuta, P., & Di Michele, L. (2021). Research data in support of: A modular, dynamic, DNA-based platform for regulating cargo distribution and transport between lipid domains [Dataset]. https://doi.org/10.17863/CAM.64579
Description
Confocal micrographs of phase-separated Giant Unilamellar Vesicles functionalised with DNA nanostructures featuring different anchoring platforms.
Data analysis platform (MATLAB Codes and function)
Format
Tif images can be opened and analysed in most image visualisation softwares. Channels, in order of appearance as the files are opened, are: Alexa488 (DNA signal), TexasRed (lipid signal), and brightfield.
Data analysis codes include a README.txt file with guidance/instructions.
Keywords
DNA nanotechnology, Lipid phase separation, Lipid domains, Partitioning, Artificial cells, Synthetic membranes, Biomimicry
Relationships
Publication Reference: https://doi.org/10.1021/acs.nanolett.0c04867
Sponsorship
R.R.S also acknowledges funding support from the Mexican National Council for Science and Technology (CONACYT, Grant No. 472427) and the Cambridge Trust. L.D.M. also acknowledges funding from the European Research Council (ERC) under the Horizon 2020 Research and Innovation Programme (ERC-STG No 851667 NANOCELL)
Funder references
EPSRC (1949809)
Royal Society (UF160152)
Engineering and Physical Sciences Research Council (EP/L015978/1)
Engineering and Physical Sciences Research Council (EP/S022953/1)
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.64579
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Licence URL: https://creativecommons.org/licenses/by-nc-nd/4.0/
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.