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Imaging Approaches to Assessments of Toxicological Oxidative Stress Using Genetically-encoded Fluorogenic Sensors
Published on: February 7, 2018
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New tools for redox biology: From imaging to manipulation
Dmitry S Bilan1, Vsevolod V Belousov1
1Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.
Free Radical Biology & Medicine
|December 13, 2016
Summary
Genetically encoded redox indicators allow real-time monitoring of cellular redox states, crucial for understanding biological processes and diseases. This review details these fluorescent protein-based tools, their applications, and limitations in biomedical research.
Area of Science:
- Biomedical Research
- Cellular Biology
- Biochemistry
Background:
- Redox reactions are vital for biological processes, and their dysregulation leads to pathologies.
- Studying intracellular redox state changes in living systems was previously challenging.
- Genetically encoded indicators offer novel ways to investigate cellular redox dynamics.
Purpose of the Study:
- To review all genetically encoded redox indicators developed to date.
- To describe indicator features, including advantages and limitations.
- To guide the selection of appropriate indicators for specific experimental needs.
Main Methods:
- Literature review of genetically encoded redox indicators.
- Analysis of indicator characteristics and applications.
- Summarization of discoveries enabled by these indicators.
Main Results:
- A comprehensive overview of existing genetically encoded redox indicators.
- Discussion of the utility of these indicators in studying embryogenesis, aging, inflammation, regeneration, and disease.
- Identification of key considerations for indicator selection and experimental design.
Conclusions:
- Genetically encoded redox indicators are powerful tools for real-time monitoring of cellular redox states.
- These indicators have significantly advanced biomedical research by enabling new discoveries in various biological processes and diseases.
- Careful selection and application of these indicators are essential for successful research outcomes.
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