Fluorescent in vivo imaging of reactive oxygen species and redox potential in plants
Entity
UAM. Departamento de Biología; UAM. Departamento de Física de MaterialesPublisher
ElsevierDate
2018-07-01Citation
10.1016/j.freeradbiomed.2018.04.005
Free Radical Biology and Medicine 122 (2018): 202-220
ISSN
1873-4596 (online); 0891-5849 (print)DOI
10.1016/j.freeradbiomed.2018.04.005Funded by
This work was funded by a grant from the Spanish Ministry of Economy and Competitiveness ( AGL2014–53771-R ). Alfonso Blázquez-Castro acknowledges funding under the Marie Skłodowska-Curie Action COFUND 2015 (EU project 713366 – InterTalentum)Project
Gobierno de España. AGL2014–53771-R; info:eu-repo/grantAgreement/EC/H2020/713366/EU//InterTalentumEditor's Version
https://doi.org/10.1016/j.freeradbiomed.2018.04.005Subjects
Fluorescent probes; Plant; Protein biosensors; Reactive Oxygen Species (ROS); Redox signalling; In vivo detection; BotánicaRights
© 2018 Elsevier Inc.
Esta obra está bajo una licencia de Creative Commons Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional.
Abstract
Reactive oxygen species (ROS) are by-products of aerobic metabolism, and excessive production can result in oxidative stress and cell damage. In addition, ROS function as cellular messengers, working as redox regulators in a multitude of biological processes. Understanding ROS signalling and stress responses requires methods for precise imaging and quantification to monitor local, subcellular and global ROS dynamics with high selectivity, sensitivity and spatiotemporal resolution. In this review, we summarize the present knowledge for in vivo plant ROS imaging and detection, using both chemical probes and fluorescent protein-based biosensors. Certain characteristics of plant tissues, for example high background autofluorescence in photosynthetic organs and the multitude of endogenous antioxidants, can interfere with ROS and redox potential detection, making imaging extra challenging. Novel methods and techniques to measure in vivo plant ROS and redox changes with better selectivity, accuracy, and spatiotemporal resolution are therefore desirable to fully acknowledge the remarkably complex plant ROS signalling networks
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Google Scholar:Ortega Villasante, Cristina
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Burén, Stefan
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Blázquez-Castro, Alfonso
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Barón-Sola, Ángel
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Hernández, Luis E.
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