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Imaging Approaches to Assessments of Toxicological Oxidative Stress Using Genetically-encoded Fluorogenic Sensors
Published on: February 7, 2018
Genetically encoded redox sensors
Wai Kan Chiu1, Atif Towheed1, Michael J Palladino1
1Department of Pharmacology & Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA; Pittsburgh Institute for Neurodegenerative Diseases, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Genetically encoded redox sensors monitor cellular redox balance, offering advantages over traditional probes for studying diseases like cancer and neurodegeneration. These sensors provide better resolution for tracking reactive oxygen species (ROS) in living animals.
Area of Science:
- Cellular Biology
- Biochemistry
- Biomedical Engineering
Background:
- Endogenous redox sensors maintain cellular homeostasis by detecting redox equilibrium.
- Genetically encoded sensors have been engineered to monitor intracellular reactive oxygen species (ROS).
- Previous limitations in temporal/spatial resolution hindered in-vivo applications.
Purpose of the Study:
- To review genetically encoded redox sensors.
- To present their applications in biomedical research, including oncometabolism.
- To discuss limitations and future directions.
Main Methods:
- Review of existing literature on genetically encoded redox sensors.
- Analysis of sensor applications in disease research (e.g., neurodegeneration, cancer).
- Discussion of technical challenges and advancements.
Main Results:
- Genetically encoded redox sensors offer superior advantages over conventional ROS probes.
- Recent technical improvements enhance temporal and spatial resolution in animal models.
- These sensors are crucial for understanding ROS dynamics in disease pathogenesis.
Conclusions:
- Genetically encoded redox sensors are powerful tools for studying redox biology and disease.
- Future developments promise wider applications in complex biological systems.
- They offer significant advantages for investigating oncometabolism and neurodegenerative disorders.
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