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Researchers develop new system to better study behavior, cell function

Posted on September 6, 2013

A team of researchers led by Charles D. Nichols, PhD, Associate Professor of Pharmacology at LSU Health Sciences Center New Orleans, has successfully translated a new technology to better study behaviors and cellular function to fruit flies. This powerful genetic tool – Designer Receptors Exclusively Activated by Designer Drugs – allows scientists to selectively, rapidly, reversibly, and dose-dependently remotely control behaviors and physiological processes in the fly. The fruit fly shares a significant degree of similarity to humans and can be used to model a number of human diseases including Alzheimer’s, Parkinson’s, cancer, obesity, diabetes, heart disease, epilepsy, ALS, mental illness, and more. The research, published on September 5, 2013, is available online in the journal, Cell Reports.

“Significant advantages the fly offers as a model are the advanced genetic tools available for manipulating gene expression, like the ability to selectively express genes in any defined cell or tissue, in combination with its prolific and rapid reproduction cycle and ease of growth,” notes Charles D. Nichols, PhD, Associate Professor of Pharmacology at LSU Health Sciences Center New Orleans.

In order to study behaviors, a common method is to manipulate the activity state of neurons and observe the effects. By and large, current methods are essentially switches to turn the neuron on or off and can produce dramatic changes in neuronal activity that can manifest in significant behavioral changes. One disadvantage with these switch-like approaches is that they can mask more subtle functions of neuronal circuits in regulating behaviors.

Another is that many require expensive specialized equipment like light sources and fiber optics to manipulate neuron function. Designer Receptors Exclusively Activated by Designer Drugs, or DREADD, technology was first developed by one of the co-authors (B.L. Roth) for mammalian systems and overcomes many of the limitations of switch-based approaches.

 

Read more at: Phys.org

   
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