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- Ultrasensitive Genetically Encoded Indicator for Hydrogen Peroxide Identifies Roles for the Oxidant in Cell Migration and Mitochondrial Function.
Ultrasensitive Genetically Encoded Indicator for Hydrogen Peroxide Identifies Roles for the Oxidant in Cell Migration and Mitochondrial Function.
Citation | “Ultrasensitive Genetically Encoded Indicator For Hydrogen Peroxide Identifies Roles For The Oxidant In Cell Migration And Mitochondrial Function.”. Cell Metabolism, pp. 642-653.e6. . |
Center | Boston Area |
Author | Valeriy Pak V, Daria Ezeriņa, Olga G Lyublinskaya, Brandán Pedre, Pyotr A Tyurin-Kuzmin, Natalie M Mishina, Marion Thauvin, David Young, Khadija Wahni, Santiago Agustín Martínez Gache, Alexandra D Demidovich, Yulia G Ermakova, Yulia D Maslova, Arina G Shokhina, Emrah Eroglu, Dmitry S Bilan, Ivan Bogeski, Thomas Michel, Sophie Vriz, Joris Messens, Vsevolod Belousov V |
Keywords | D-amino acid oxidase, H(2)O(2), H(2)O(2) gradients, HyPer7, cell migration, chemogenetics, genetically encoded probes, Hydrogen peroxide, mitochondria, Redox signaling |
Abstract |
Hydrogen peroxide (HO) is a key redox intermediate generated within cells. Existing probes for HO have not solved the problem of detection of the ultra-low concentrations of the oxidant: these reporters are not sensitive enough, or pH-dependent, or insufficiently bright, or not functional in mammalian cells, or have poor dynamic range. Here we present HyPer7, the first bright, pH-stable, ultrafast, and ultrasensitive ratiometric HO probe. HyPer7 is fully functional in mammalian cells and in other higher eukaryotes. The probe consists of a circularly permuted GFP integrated into the ultrasensitive OxyR domain from Neisseria meningitidis. Using HyPer7, we were able to uncover the details of HO diffusion from the mitochondrial matrix, to find a functional output of HO gradients in polarized cells, and to prove the existence of HO gradients in wounded tissue in vivo. Overall, HyPer7 is a probe of choice for real-time HO imaging in various biological contexts. |
Year of Publication |
2020
|
Journal |
Cell metabolism
|
Volume |
31
|
Issue |
3
|
Number of Pages |
642-653.e6
|
Date Published |
12/2020
|
ISSN Number |
1932-7420
|
DOI |
10.1016/j.cmet.2020.02.003
|
Alternate Journal |
Cell Metab
|
PMID |
32130885
|
PMCID |
PMC7088435
|
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