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Updated: May 24, 2025

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Glutamine Flux Imaging Using Genetically Encoded Sensors
Published on: July 31, 2014
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State-dependent motion of a genetically encoded fluorescent biosensor.
Paul C Rosen1,2, Samantha M Horwitz3, Daniel J Brooks1
1Department of Neurobiology, Harvard Medical School, Boston, MA 02115.
Summary
Genetically encoded biosensors like LiLac, used for lactate detection, undergo structural changes. Understanding these dynamics is key to engineering better fluorescent biosensors.
Area of Science:
- Biochemistry
- Structural Biology
- Molecular Imaging
Background:
- Genetically encoded biosensors offer single-cell resolution for measuring biochemical properties in vivo.
- Current biosensors function as "black boxes" with limited understanding of their structural states and dynamics.
- The structural basis for fluorescence changes in biosensors remains largely unexplored.
Purpose of the Study:
- To elucidate the structural mechanisms underlying the function of the LiLac lactate biosensor.
- To characterize the low- and high-fluorescence states of LiLac and the transitions between them.
- To provide insights for the rational design and engineering of novel fluorescent biosensors.
Main Methods:
- Utilized X-ray crystallography to determine the three-dimensional structures of LiLac in different states.
- Employed engineered high-affinity metal bridges to probe structural dynamics.
- Leveraged quantitative fluorescence-lifetime imaging to correlate structural changes with sensor output.
Main Results:
- LiLac exhibits a significant interdomain twist motion correlating with lactate binding.
- The high-lifetime state (low lactate) corresponds to a "sealed" conformation, while the low-lifetime state (high lactate) adopts a "cracked" conformation.
- Structural plasticity and interdomain dynamics are critical for LiLac's fluorescence response.
Conclusions:
- The study reveals the dynamic structural rearrangements in LiLac that enable lactate detection.
- Understanding these structure-dynamics relationships is crucial for advancing the field of genetically encoded biosensors.
- These findings provide a foundation for engineering improved biosensors with tailored properties.
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