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Imaging Cellular Inorganic Phosphate in Caenorhabditis elegans Using a Genetically Encoded FRET-Based Biosensor
Swayoma Banerjee1, Wayne K Versaw1, L Rene Garcia2
1Department of Biology, Texas A&M University, 3258 TAMU, College Station, TX, 77843-3258, United States of America.
Plos One
|October 21, 2015
Summary
Researchers developed a new sensor to track inorganic phosphate (Pi) in real-time within the nematode C. elegans. This tool reveals how Pi levels change in different cells and under various conditions, offering insights into cellular metabolism.
Area of Science:
- Cellular Biology
- Biochemistry
- Physiology
Background:
- Inorganic phosphate (Pi) is crucial for metabolism, signaling, and energy conversion.
- Precise regulation of Pi distribution is vital due to varying cellular demands and dietary intake.
- A method for real-time, spatially resolved Pi monitoring is needed to understand its transport and recycling.
Purpose of the Study:
- To develop and validate a genetically encoded FRET-based sensor for monitoring intracellular Pi levels in C. elegans.
- To assess cellular Pi dynamics in different tissues and developmental stages.
- To investigate the relationship between Pi concentration and metabolic status.
Main Methods:
- Genetically encoded FRET-based inorganic phosphate (Pi) sensor expressed in C. elegans.
- Ratiometric imaging to monitor cytosolic Pi concentrations in various cells (neurons, muscle, intestine).
- In vivo validation via phosphate buffer injection and perturbation studies (food deprivation, cyanide exposure).
Main Results:
- Demonstrated successful expression and function of the Pi sensor in diverse C. elegans tissues.
- Revealed cell-specific and developmental stage-specific variations in cytosolic Pi concentrations.
- Showed that Pi levels are sensitive to metabolic state, decreasing with food deprivation and cyanide exposure.
Conclusions:
- Live Pi imaging in C. elegans provides a powerful approach to study Pi distribution mechanisms.
- Cellular Pi concentration serves as a sensitive indicator of an organism's metabolic status.
- The developed sensor facilitates a deeper understanding of essential nutrient dynamics in vivo.
