Research Data Leeds Repository

Citation

Cross, Laura L. and Paudyal, Rupesh and Kamisugi, Yasuko and Berry, Alan and Cuming, Andrew C. and Baker, Alison and Warriner, Stuart L. (2017) Dataset associated with 'Towards designer organelles by subverting the peroxisomal import pathway'. University of Leeds. [Dataset] https://doi.org/10.5518/218

Dataset description

This data is associated with a research project concerning development of tools to develop ‘designer’ organelles, a potential strategy to enable foreign pathways to be efficiently controlled within eukaryotic biotechnology. A fundamental component of any such system will be the implementation of a bespoke protein import pathway that can selectively deliver constituent proteins to the new compartment in the presence of existing endogenous trafficking systems. In the associated manuscript we show that the protein-protein interactions that control the peroxisomal protein import pathway can be manipulated to create a pair of interacting partners that still support protein import in moss cells but are orthogonal to the naturally occurring pathways. In addition to providing a valuable experimental tool to give new insights into peroxisomal protein import, the variant receptor-signal sequence pair forms the basis of a system in which normal peroxisomal function is downregulated and replaced with an alternative pathway, an essential first step in the creation of a designer organelle.

Subjects:	F000 - Physical sciences > F100 - Chemistry > F160 - Organic chemistry > F165 - Biomolecular chemistry C000 - Biological sciences > C700 - Molecular biology, biophysics & biochemistry > C750 - Plant biochemistry
Divisions:	Faculty of Biological Sciences > School of Biology Faculty of Biological Sciences > School of Molecular and Cellular Biology Faculty of Engineering and Physical Sciences > School of Chemistry
Related resources:	Location Type https://eprints.whiterose.ac.uk/118669/ Publication https://doi.org/10.1038/s41467-017-00487-7 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	06 Jul 2017 16:20
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/165
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Cross, Laura L. https://orcid.org/0000-0002-8167-1329 University of Leeds https://ror.org/024mrxd33 ror Paudyal, Rupesh https://orcid.org/0000-0002-1849-7313 University of Leeds https://ror.org/024mrxd33 ror Kamisugi, Yasuko https://orcid.org/0000-0002-5265-3658 University of Leeds https://ror.org/024mrxd33 ror Berry, Alan https://orcid.org/0000-0003-3502-0426 University of Leeds https://ror.org/024mrxd33 ror Cuming, Andrew C. https://orcid.org/0000-0003-2562-2052 University of Leeds https://ror.org/024mrxd33 ror Baker, Alison https://orcid.org/0000-0003-2181-4057 University of Leeds https://ror.org/024mrxd33 ror Warriner, Stuart L. https://orcid.org/0000-0002-7589-6011 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: Leverhulme Trust, BBSRC, Wellcome Trust Grant numbers: RPG-2012-516, BB/I006710/1, WT104918MA Publication date: 2017 Resource language: English Metadata language: English Research project title: Synthetic organelles: manipulating peroxisome protein import to create designer compartments., Understanding the mechanism of homologous recombination mediated gene targeting in Physcomitrella patens., Multifunctional imaging of living cells for biomedical sciences. Publisher: University of Leeds Last Modified: 15 Aug 2024 12:08

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Readme [1kB] Readme [1kB] Readme [1kB] Security: Anyone File name: ReadMe.txt Content type: Documentation Description: Description of files Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1kB

Data

Microscopy Images [4GB] Microscopy Images [4GB] Microscopy Images [4GB] Security: Anyone File name: MicroscopyImages.zip Content type: Data Description: Collection of microscopy images used in classification (gives results in Supplementary Table 7) Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 4GB

PEX11 mutant images [8MB] PEX11 mutant images [8MB] PEX11 mutant images [8MB] Security: Anyone File name: PEX11mutant_PEX5_RFP-PTS1_GFP-PTS1star.zip Content type: Data Description: collection of microscopy images of PEX11 mutant shown in Supplementary Fig 10 Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 8MB

Confocal Images [37MB] Confocal Images [37MB] Confocal Images [37MB] Security: Anyone File name: Confocal_Images.zip Content type: Data Description: Collection of confoncal microscopy images used in Figure 3 Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 37MB

MSData [2GB] MSData [2GB] MSData [2GB] Security: Anyone File name: MSData.zip Content type: Data Description: collection of MS data and processed data used in Figure 2 Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 2GB

MSdata-SI - Vol 1 of 2 [6GB] MSdata-SI - Vol 1 of 2 [6GB] MSdata-SI - Vol 1 of 2 [6GB] Security: Anyone File name: MSdata_SI_Vol1.zip Content type: Data Description: collection of dMS data and processed data for pull down assays of mutant proteins listed in the SI Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 6GB

MSdata-SI - Vol 2 of 2 [6GB] MSdata-SI - Vol 2 of 2 [6GB] MSdata-SI - Vol 2 of 2 [6GB] Security: Anyone File name: MSdata_SI_Vol2.zip Content type: Data Description: collection of dMS data and processed data for pull down assays of mutant proteins listed in the SI Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 6GB

FAresults [24kB] FAresults [24kB] FAresults [24kB] Security: Anyone File name: FA_results.csv Content type: Data Description: Fluorescence Anisotropy raw data Mime-Type: text/csv License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 24kB