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Published on: September 19, 2014
Near-Infrared Fluorescent Proteins and Their Applications.
M M Karasev1,2, O V Stepanenko3, K A Rumyantsev4,5,6
1Institute of Cytology, Russian Academy of Sciences, St. Petersburg, 194064, Russia. maksim.karasev@helsinki.fi.
Near-infrared fluorescent proteins, engineered from bacterial phytochromes, offer advanced in vivo imaging capabilities. These probes utilize biliverdin, a natural mammalian molecule, for enhanced biological and biomedical research applications.
Area of Science:
- Biomedical Imaging
- Molecular Biology
- Biophysics
Background:
- Mammalian tissues exhibit high transparency and low autofluorescence in the near-infrared (NIR) spectrum, enabling deep tissue imaging.
- Bacterial phytochromes have been engineered into NIR fluorescent probes, utilizing biliverdin, a natural mammalian metabolite.
- These probes offer genetically encoded fluorescence, similar to GFP-like proteins, for biological research.
Purpose of the Study:
- To review the properties and applications of NIR fluorescent proteins, reporters, and biosensors.
- To analyze the requirements for expressing these probes in mammalian cells.
- To discuss structural features and molecular engineering of NIR fluorescent probes.
Main Methods:
- Review of photophysical and biochemical properties of NIR fluorescent proteins.
- Analysis of engineering strategies for NIR fluorescent probes.
- Compilation of applications in cellular and whole-body imaging.
Main Results:
- NIR fluorescent proteins demonstrate potential for micro- and macroscale in vivo imaging.
- Engineered probes are suitable for expression in mammalian cells.
- Applications span molecular studies, tissue visualization, and advanced imaging techniques.
Conclusions:
- NIR fluorescent proteins represent a significant advancement for in vivo imaging in biology and biomedicine.
- Their design based on natural chromophores facilitates endogenous expression and imaging.
- Integration with techniques like photoacoustic tomography enhances their utility in complex imaging scenarios.
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