Jul 08, 2024
Synapto-iATPSnFR2-miRFP670nano3 analysis
- Alexandros C Kokotos1,2,
- Tim Ryan1,2
- 1Department of Biochemistry, Weill Cornell Medicine, New York, NY 10065, USA;
- 2Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, USA
Protocol Citation: Alexandros C Kokotos, Tim Ryan 2024. Synapto-iATPSnFR2-miRFP670nano3 analysis. protocols.io https://dx.doi.org/10.17504/protocols.io.n92ld8wk9v5b/v1
Manuscript citation:
Phosphoglycerate kinase is a central leverage point in Parkinson’s Disease driven neuronal metabolic deficits
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
We use this protocol and it's working
Created: July 08, 2024
Last Modified: July 08, 2024
Protocol Integer ID: 103035
Keywords: ASAPCRN, ATP, data analysis, SV recycling, synapse, ATPSnFR, genetic sensor, image analysis
Funders Acknowledgement:
ASAP
Grant ID: 000580
Abstract
This protocol describes how to analyze imaging experiments using Synapto-iATPSnFR2-miRFP670nano3 from primary neurons.
Materials
Software
Microsoft Excel (https://www.microsoft.com/en-us/microsoft-365/excel, version 2308, RRID:SCR_016137)
Synapto-iATPSnFR2-miRFP670nano3 image analysis
Synapto-iATPSnFR2-miRFP670nano3 image analysis
Open the image stacks to by analyzed with ImageJ by drag and drop.
Using the far-red miRFP670nano3 channel and blind to the ATPSnFR2 channel, identify nerve terminals by their appearance as fluorescent puncta.
Place ROIs on the nerve terminals using the Time Series Analyzer plug-in.
We usually use ROIs of width and height 6 pixels each, with the pixel size being 400 nm in our images.
Get the average pixel intensity of each ROI and each image using the "Get Average" function. Save the produced csv results as well as the ROIs selection.
Similarly place background ROIs surrounding the nerve terminals identified. Save the pixel intensity values and background ROIs selection.
Synapto-iATPSnFR2-miRFP670nano3 data analysis
Synapto-iATPSnFR2-miRFP670nano3 data analysis
Open the produced csv files in Microsoft Excel.
For each time point, subtract the average background fluorescence values from every single nerve terminal fluorescence values.
For each time point, calculate the ratio of the iATPSnFR2 signal to the miRFP670nano3 signal, for every nerve terminal. This will yield the Fratio for all single nerve terminals.
Note: Since the miRFP670nano3 signal remains stable throughout the experiment, the iATPSnFR signal can be also normalized to the initial miRFP670nano3 signal before action potential train, to minimize the noise of the produced traces.
Calculate the average Fratio of all the nerve terminals of one single neuron.
The initial Fratio can be used as a reading of the baseline ATP of single cells before the action potential trains.
The data-set can be further normalized to 1, by dividing Fratio to the initial Fratio values, for each individual cell. This normalization allows to specifically observe ATP kinetics during and after action potential trains and is unaffected by the individual cell baseline ATP.
The normalized Fratio at the end of the action potential train as well as the recovery of ATP at a later time point can be calculated for all single cells.
All produced time trace data and subsequent quantifications can be plotted and presented in Graphpad Prism.
Protocol references
Software
Microsoft Excel (https://www.microsoft.com/en-us/microsoft-365/excel, version 2308, RRID:SCR_016137)
GraphPad Prism (http://www.graphpad.com, version 10.0.2, RRID:SCR_002798)
ImageJ (NIH, US, https://imagej.net, version 1.52p, RRID:SCR_003070)