Rowe, J.H. orcid.org/0000-0002-3523-4347, Josse, M., Tang, B. et al. (1 more author) (2025) Quantifying plant biology with fluorescent biosensors. Annual Review of Plant Biology, 76. ISSN 1543-5008
Abstract
Plant biology is undergoing a spatial omics revolution, but these approaches are limited to snapshots of a plant's state. Direct, genetically encoded fluorescent biosensors complement the omics approaches, giving researchers tools to assess energetic, metabolic, and signaling molecules at multiple scales, from fast subcellular dynamics to organismal patterns in living plants. This review focuses on how biosensors illuminate plant biology across these scales and the major discoveries to which they have contributed. We also discuss the core principles and common pitfalls affecting biosensor engineering, deployment, imaging, and analysis to help aspiring biosensor researchers. Innovative technologies are driving forward developments both biological and technical with implications for synergizing biosensor research with other approaches and expanding the scope of in vivo quantitative biology.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2025 by the author(s). Except as otherwise noted, this author-accepted version of a journal article published in Annual Review of Plant Biology is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Genetically-encoded Fluorescence Biosensors; quantitative plant biology; live imaging; 19 molecular dynamics |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Biosciences (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 02 Apr 2025 08:08 |
Last Modified: | 02 Apr 2025 08:08 |
Status: | Published |
Publisher: | Annual Reviews |
Refereed: | Yes |
Identification Number: | 10.1146/annurev-arplant-061824-090615 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:225081 |