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dc.contributor.authorAltun, Hamza Yusuf
dc.contributor.authorErdoğan, Yusuf Ceyhun
dc.contributor.authorSeçilmiş, Melike
dc.contributor.authorEroğlu, Emrah
dc.date.accessioned2023-06-16T08:52:07Z
dc.date.available2023-06-16T08:52:07Z
dc.date.issued2023en_US
dc.identifier.citationAltun, H. Y., Erdoğan, Y. C., Seçilmiş, M. ve Eroğlu, E. (2023). Chemogenetic tools and genetic biosensors in redox biology: Probing Hyper7 signals in specific cellular locales. 1st International Conference on the Future of Redox Biology içinde (S1-S1. ss.). Italy, 17-19 June 2022. https://doi.org/10.1016/j.freeradbiomed.2022.12.017en_US
dc.identifier.issn0891-5849
dc.identifier.issn1873-4596
dc.identifier.urihttps://doi.org/10.1016/j.freeradbiomed.2022.12.017
dc.identifier.urihttps://hdl.handle.net/20.500.12511/11098
dc.description.abstractH2O2 is one of the most studied reactive oxygen species (ROS) in redox biology because of its critical role in oxidant-dependent signaling pathways. Conventional approaches apply exogenous H2O2 on cells and tissues, which barely recapitulates intracellular redox signaling events. An alternative approach is D-amino acid oxidase (DAAO)-based chemogenetic tools that permit intracellular H2O2 generation by D-amino acid catalysis. Exploiting the targetability of the DAAOs to cellular ultralocales allow precise manipulation of the redox tone with high spatial and temporal resolution. DAAOs have been utilized in several redox studies, yet due to the incomplete characterization and the lack of fine-tuned protocol on how to employ DAAOs, the potential of this multiparametric imaging technology could not be fully exploited. Using the ultra-sensitive genetically encoded H2O2 biosensor (HyPer), we tested the performance of a modified version of DAAO (mDAAO) under hypoxic and hyperoxic conditions. Our multiparametric imaging approach unveiled that cell type, cellular locales, pericellular oxygen concentrations, D-amino acid type, and its concentrations are critical and modulatable factors that permit fine-tuned H2O2 generation with high precision. These findings and fine-tuned protocols provide practical approaches for redox scientists to spatiotemporally control oxidative stress-dependent signaling pathways in different cultured cell model systems.en_US
dc.language.isoengen_US
dc.publisherElsevier Science Inc.en_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectHydrogen Peroxideen_US
dc.subjectChemogeneticsen_US
dc.subjectGenetically Encoded Biosensorsen_US
dc.titleChemogenetic tools and genetic biosensors in redox biology: Probing Hyper7 signals in specific cellular localesen_US
dc.typeconferenceObjecten_US
dc.relation.ispartof1st International Conference on the Future of Redox Biologyen_US
dc.departmentİstanbul Medipol Üniversitesi, Rektörlük, Sağlık Bilim ve Teknolojileri Araştırma Enstitüsüen_US
dc.authorid0000-0002-9373-0808en_US
dc.identifier.volume198en_US
dc.identifier.issueSupplement: 1en_US
dc.identifier.startpageS1en_US
dc.identifier.endpageS1en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1016/j.freeradbiomed.2022.12.017en_US
dc.institutionauthorEroğlu, Emrah
dc.identifier.wosqualityQ1en_US
dc.identifier.wos000994915800003en_US


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