Towards designer organelles by subverting the peroxisomal import pathway

Cross, LL, Paudyal, R, Kamisugi, Y et al. (4 more authors) (2017) Towards designer organelles by subverting the peroxisomal import pathway. Nature Communications, 8. 454.

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © The Author(s) 2017. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Molecular engineering in plants; Protein design; Protein trafficking in plants; Synthetic biology
Dates:
  • Published: 6 September 2017
  • Accepted: 3 July 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biology (Leeds)
The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Molecular and Cellular Biology (Leeds) > Plant Cell & Cellular Biology (Leeds)
The University of Leeds > Faculty of Maths and Physical Sciences (Leeds) > School of Chemistry (Leeds) > Organic Chemistry (Leeds)
Funding Information:
FunderGrant number
BBSRCBB/I006710/1
Leverhulme TrustRPG-2012-516
Depositing User: Symplectic Publications
Date Deposited: 06 Jul 2017 09:14
Last Modified: 06 Oct 2017 12:24
Status: Published
Publisher: Nature Publishing Group
Identification Number: https://doi.org/10.1038/s41467-017-00487-7
Related URLs:

Share / Export

Statistics