The nationwide experiment will initially include around 100,000 volunteers.
An optical reporter quantitatively measures the ATP demands of presynaptic neurons.
May 1, 2014|
Human brain cells use about one-fifth of the body’s energy. Scientists assume that neurons are energy hogs, but know little about how they manage those energy demands, says Timothy Ryan, a biochemist and neuroscientist at Weill Cornell Medical College. The energy needs of presynaptic nerve terminals must be addressed locally, as the synapse can be as far away as one meter from the cell body. Together with colleagues, Ryan has engineered an optical reporter system called Syn-ATP that, when expressed in neurons, can directly measure the number of ATP molecules specifically located at presynaptic nerve terminals.
“Visualizing cellular biochemical processes is one of the most difficult and exciting areas of neurobiology, and this technique is a successful example of this approach,” says neurobiologist Pietro De Camilli of Yale University. “It’s a powerful new tool.”
Using the reporter in cultured rat hippocampal cells, the researchers found that measured levels of ATP in axon terminals are high when the cell is active, but quickly plummet to zero if ATP synthesis is shut down, indicating a small ATP reserve for the large energy needs of active synapses. “We found that some biological processes at nerve terminals, like synaptic vesicle cycling, are particularly demanding. To meet the needs of such processes, ATP must be made on demand,” says Ryan. His team went on to show that vesicle cycling is a significant driver of the activity-stimulated synthesis of ATP. In retrospect, this is not hugely surprising, says Ryan, as this is probably how muscles maintain their ATP levels, yet no one had made the leap that the same rules would apply to neurons.
Ryan is now using this quantitative system to study synaptic dysfunction that may be occurring in neurodegenerative diseases, such as Parkinson’s and Alzheimer’s. “We are now trying to see the roots of communication of the action potential driving [the] synthesis of ATP and whether this communication is decaying in diseases and in aging.” (Cell, 156:825-35, 2014)
© GEORGE RETSECK
|METHOD||HOW IT WORKS||CELLS ANALYZED||DISADVANTAGES||ADVANTAGES|
|Perceval||GFP fused to a bacterial protein with a higher affinity for ATP compared to ADP results in fluorescent change.||Any cultured cells||Indirect measurement of ATP; saturation at expected physiological ATP levels; sensitive to other nucleotides such as ADP||Strong fluorescence signal allows sub-second exposure microscopy|
|Syn-ATP||Light from luciferase activity at synaptic vesicles provides a quantitative measurement of changing ATP levels.||Disassociated neurons in culture, but can be adapted to others||Longer time (tens of seconds) necessary to measure bioluminescence from luciferase enzymes, compared to using fluorescence probes||Direct measurement of ATP; variations in the amount of ATP can be detected accurately at physiologic pH levels|
May 12, 2014
Great article! Just thought I would add the the plasmid from Dr. Ryan's publication is openly available at Addgene for anyone that wants to try this out. http://www.addgene.org/browse/article/7959/
June 2, 2014
This article fails to compare Syn-ATP and Perceval with
Nano-Lantern ATP from Saito et al 2012 http://www.ncbi.nlm.nih.gov/pubmed/23232392
PercevalHR from Tantama et al 2013
ATeam and GO-ATeam2 see Kioka et al 2014 http://www.ncbi.nlm.nih.gov/pubmed/24344269 and
Vevea et al 2013 http://www.ncbi.nlm.nih.gov/pubmed/23912244
The Syn-ATP paper's introduction mentions these papers but may not have accessed them carefully. For example, the paper disses Nano-Lantern ATP for non-linear response, when (1) a sigmoidal curve is obtained, as expected from simple binding, (2) around the Kd, the response is fairly linear (Saito et al supplemental Fig 12). Saito et al did not require 60 second exposures from an EMCCD camera to get their biosensor data.
I have a PDF inside the zip download at
tabulating 130 fluorescent protein biosensors. Most published FP biosensors are summarized in one or both of:
Wolf Frommer's molecular sensors web page http://biosensor.dpb.carnegiescience.edu/biosensors
* Newman et al 2011 http://www.ncbi.nlm.nih.gov/pubmed/21456512
especially useful is their (free to access) supplemental Excel file