Single Synapse Indicators of Glutamate Release and Uptake in Acute Brain Slices from Normal and Huntington Mice

JoVE Journal

Your institution must subscribe to JoVE's Neuroscience section to access this content.

Fill out the form below to receive a free trial or learn more about access:



We present a protocol to evaluate the balance between glutamate release and clearance at single corticostriatal glutamatergic synapses in acute slices from adult mice. This protocol uses the fluorescent sensor iGluu for glutamate detection, a sCMOS camera for signal acquisition and a device for focal laser illumination.

Cite this Article

Copy Citation | Download Citations | Reprints and Permissions

Dvorzhak, A., Grantyn, R. Single Synapse Indicators of Glutamate Release and Uptake in Acute Brain Slices from Normal and Huntington Mice. J. Vis. Exp. (157), e60113, doi:10.3791/60113 (2020).


Synapses are highly compartmentalized functional units that operate independently on each other. In Huntington's disease (HD) and other neurodegenerative disorders, this independence might be compromised due to insufficient glutamate clearance and the resulting spill-in and spill-out effects. Altered astrocytic coverage of the presynaptic terminals and/or dendritic spines as well as a reduced size of glutamate transporter clusters at glutamate release sites have been implicated in the pathogenesis of diseases resulting in symptoms of dys-/hyperkinesia. However, the mechanisms leading to the dysfunction of glutamatergic synapses in HD are not well understood. Improving and applying synapse imaging we have obtained data shedding new light on the mechanisms impeding the initiation of movements. Here, we describe the principle elements of a relatively inexpensive approach to achieve single synapse resolution by using the new genetically encoded ultrafast glutamate sensor iGluu, wide-field optics, a scientific CMOS (sCMOS) camera, a 473 nm laser and a laser positioning system to evaluate the state of corticostriatal synapses in acute slices from age appropriate healthy or diseased mice. Glutamate transients were constructed from single or multiple pixels to obtain estimates of i) glutamate release based on the maximal elevation of the glutamate concentration [Glu] next to the active zone and ii) glutamate uptake as reflected in the time constant of decay (TauD) of the perisynaptic [Glu]. Differences in the resting bouton size and contrasting patterns of short-term plasticity served as criteria for the identification of corticostriatal terminals as belonging to the intratelencephalic (IT) or the pyramidal tract (PT) pathway. Using these methods, we discovered that in symptomatic HD mice ~40% of PT-type corticostriatal synapses exhibited insufficient glutamate clearance, suggesting that these synapses might be at risk to excitotoxic damage. The results underline the usefulness of TauD as a biomarker of dysfunctional synapses in Huntington mice with a hypokinetic phenotype.


The relative impact of each synaptic terminal belonging to a "unitary connection" (i.e., the connection between 2 nerve cells) is typically assessed by its influence on the initial segment of the postsynaptic neuron1,2. Somatic and/or dendritic recordings from postsynaptic neurons represent the most common and, until now, also the most productive means to clarify information processing under a top-down or vertical perspective3,4,5. However, the presence of astrocytes with their discrete and (in rodents) non-overlapping territories may contribute a horizontal perspective that is based on local mechanisms of signal exchange, integration and synchronization at synaptic sites6,7,8,9,10.

Because it is known that astroglia play, in general, a major role in the pathogenesis of neurodegenerative disease11,12 and, in particular, a role in the maintenance and plasticity of glutamatergic synapses13,14,15,16, it is conceivable that alterations in synaptic performance evolve in accordance with the state of astrocytes in the shared target area of afferent fibers with diverse origin. To further explore the target-/astroglia-derived local regulatory mechanisms in health and disease, it is necessary to evaluate individual synapses. The present approach was worked out to estimate the range of functional glutamate release and clearance indicators and to define criteria that may be used to identify dysfunctional (or recovered) synapses in brain areas most closely related to movement initiation (i.e., first of all in the motor cortex and dorsal striatum).

The striatum lacks intrinsic glutamatergic neurons. Therefore, it is relatively easy to identify glutamatergic afferents of extrastriatal origin. The latter mostly originate in the medial thalamus and in the cerebral cortex (see17,18,19,20 for more). Corticostriatal synapses are formed by the axons of pyramidal neurons localized in cortical layers 2/3 and 5. The respective axons form bilateral intra-telencephalic (IT) connections or ipsilateral connections via a fiber system that more caudally constitutes the pyramidal tract (PT). It has further been suggested that IT- and PT-type terminals differ in their release characteristics and size21,22. In view of these data, one could also expect some differences in the handling of glutamate.

The striatum is the most affected brain area in Huntington's disease (HD)5. Human HD is a severe genetically inherited neurodegenerative disorder. The Q175 mouse model offers an opportunity to investigate the cellular basis of the hypokinetic-rigid form of HD, a state that has much in common with parkinsonism. Starting at an age of about 1 year, homozygote Q175 mice (HOM) exhibit signs of hypokinesia, as revealed by measuring the time spent without movement in an open field23. The present experiments with heterozygote Q175 mice (HET) confirmed the previous motor deficits observed in HOM and, in addition, showed that the observed motor deficits were accompanied by a reduced level of the astrocytic excitatory amino acid transporter 2 protein (EAAT2) in the immediate vicinity of corticostriatal synaptic terminals24. It has therefore been hypothesized that a deficit in astrocytic glutamate uptake could lead to dysfunction or even loss of respective synapses25,26.

Here, we describe a new approach that allows one to evaluate single synapse glutamate clearance relative to the amount of the released neurotransmitter. The new glutamate sensor iGluu was expressed in corticostriatal pyramidal neurons. It was developed by Katalin Török27 and represents a modification of the previously introduced high-affinity but slow glutamate sensor iGluSnFR28. Both sensors are derivatives of the enhanced green fluorescent protein (EGFP). For spectral and kinetic characteristics, see Helassa et al.27. Briefly, iGluu is a low-affinity sensor with rapid de-activation kinetics and therefore particularly well suited to study glutamate clearance at glutamate-releasing synaptic terminals. The dissociation time constant of iGluu was determined in a stopped-flow device, which rendered a Tauoff value of 2.1 ms at 20 °C, but 0.68 ms when extrapolated to a temperature of 34 °C27. Single Schaffer collateral terminals probed at 34 °C with spiral laser scanning in the CA1 region of organotypic hippocampal cultures under a 2-photon microscope exhibited a mean time constant of decay of 2.7 ms.

Subscription Required. Please recommend JoVE to your librarian.


All work has been carried out in accordance with the EU Directive 2010/63/EU for animal experiments and was registered at the Berlin Office of Health Protection and Technical Safety (G0233/14 and G0218/17).

NOTE: Recordings from Q175 wild-type (WT) and heterozygotes (HETs) can be performed at any age and sex. Here we studied males and females at an age of 51 to 76 weeks.

1. Injection of the Glutamate Sensor iGluu for Expression in Corticostriatal Axons

  1. Use the pipette puller (one step mode) to prepare borosilicate glass pipettes for the injection of the virus. After pulling, break the pipette manually to obtain a tip diameter of 30–50 µm. Autoclave the pipette and surgical instruments, including the drill for opening the skull.
  2. Store the virus AAV9-CaMKIIa.iGluu.WPRE-hGH (7.5 x 1013gc/mL) at -80 °C in 10 µL aliquots. If injections are performed shortly after virus production (within 6 months), keep at 5 °C. Before surgery, take out the vial and maintain it at room temperature.
  3. Fill the glass pipette and remove any bubbles.
  4. Anesthetize the animal with an intraperitoneal injection of a solution containing 87.5 mg/kg ketamine and 12.5 mg/kg xylazine. Subcutaneously inject 0.25% bupivacain (8 mg/kg) for additional pain relief. Check the depth of anesthesia by monitoring the muscle tone and observing the absence of pain-induced reflexes.
  5. Shave the skin on the head and sterilize it with 70% alcohol. Fit the mouse into the stereotaxic frame.
  6. Use a scalpel to remove the skin and a high speed (38,000 rpm) drill to make a 1.2 mm hole in the bone above the motor cortex.
  7. Mount the syringe with the attached injection pipette in the holder of a precision manipulator. Insert the vertically oriented pipette into the cortex at 4 different sites. The injection coordinates are, with respect to bregma (in mm): anterior 1.5, lateral 1.56, 1.8, 2.04, 2.28. The depth with respect to dura mater is (in mm): 1.5–1.7.
  8. Using the injection system, inject 0.3 µL per site of the undiluted virus solution with a velocity of 0.05 µL/min. After each injection, leave the pipette in place for 1 min before withdrawing it slowly (1 mm/min).
  9. Finish by closing the surgical wound with a nylon suture.
  10. Leave the mouse for 0.5 to 1 h on a heating pad in a clean cage before returning it to its original cage.
  11. Maintain the mouse on a 12 h day-night cycle for 6 to 8 weeks before the preparation of acute brain slices.
    NOTE: To avoid immune reactions resulting in cell damage and synapse loss, injection of multiple viral constructs must be performed simultaneously or within 2–3 hours after the primary injection. The coordinates for iGluu injection were selected according to the Paxinos and Franklin29 brain atlas. They correspond to the M1 motor cortex. Immunostaining of injected brains visualized numerous but mostly well isolated axons and axon varicosities in the ipsi- and contralateral striatum and in the contralateral M1 and S1 cortices.

2. Search for Glutamatergic Terminals Expressing the Glutamate Sensor iGluu

  1. Calibration mode
    1. Prepare the sCMOS camera and the camera control software with the following settings. On the Readout page set Pixel readout rate: 560 MHz (= fastest readout), Sensitivity/Dynamic Range: bit, Spurious Noise Filter: Yes, Overlap Readout: Yes. On the Binning/ROI page, select Full screen.
    2. Prepare a glass slide containing a drop of 5 mg/mL Lucifer Yellow (LY) under a cover slip.
    3. Place the LY slide under a 63x objective, open the laser shutter and perform a serial acquisition using the following settings: Pixel Binning: 1x1, Trigger mode: Internal, Exposure time: Minimal (to be determined).
    4. Adjust the laser power to produce a fluorescence spot of 4 µm in diameter (the image should not contain saturated pixels).
    5. To perform a calibration of the laser positioning system, select the following settings in the laser positioning software: Spot-size diameter: 10, Scanning velocity: 43.200 kHz. Click the Start image acquisition button on the right panel. Set Runs: 0, Run delay: 0, and select the Run at TTL option on the Sequence page. Click the Calibrate button on the Calibration page and calibrate the laser control software according instructions shown in the top-left corner of the acquisition screen.
    6. If the setup uses independent software for camera and laser control, acquire screenshots from the camera acquisition window and send it to the laser control software for a re-calculation of the XY coordinates. If the software is installed on different computers, then use a video grabber to import the image into the laser control software. The laser control software will need the information on the XY scaling factors and offsets. For this purpose, determine the coordinates of the top-left, bottom-left and bottom-right corners of the image within the acquisition window of the laser control program. Calculate the scaling factors according to the following equations: X factor = (X bottom-right – X bottom-left)/2048, X offset = X bottom-left, Y factor = (Y top-left – Y bottom-left)/2048, Y offset = Y bottom-left.
    7. At the end of the calibration procedure, create a rectangular region of interest (ROI) of 267x460 pixels, move it to the center of the screen and click the Start sequence button.
    8. Return to the following camera control software settings: Binning: 2x2, Trigger mode: External exposure, Exposure time: Minimal (to be determined).
  2. Autofluorescence correction mode
    NOTE: The resting level of [Glu] in the environment of active synaptic terminals is typically below 100 nM14,30,31,32,33,34. Accordingly, any sensor of glutamate, especially a low affinity sensor like iGluu will be rather dim in the absence of synaptic glutamate release. Nevertheless, some iGluu fluorescence can even be detected at rest, but must be distinguished from the tissue autofluorescence. The 473 nm illumination elicits both iGluu fluorescence and autofluorescence (Figure 1A–C). The latter occupies a wide range of wavelengths, while iGluu fluorescence is limited to 480–580 nm (with a maximum at 510 nm). The correction for autofluorescence is based on the acquisition of two images with different high-pass filters.
    1. Prepare brain slices in advance as described elsewhere35. Keep bran slices ready.
    2. Transfer the slices into the recording chamber, submerging them into oxygenized artificial cerebrospinalfluid (ACSF) containing 125 mM NaCl, 3 mM KCl, 1.25 mM NaH2PO4, 25 mM NaHCO3, 2 mM CaCl2, 1 mM MgCl2, 10 mM glucose (pH 7.3, 303 mOsm/L), supplemented with 0.5 mM sodium pyruvate, 2.8 mM sodium ascorbate and 0.005 mM glutathione. Use a flow rate of 1–2 mL/min. Keep the bath temperature at 28–30 °C.
    3. Locate the dorsal striatum under a 20x water immersion objective. Fix the slices with a nylon grid on a platinum harp to minimize the tissue movement. Switch to the 63x /NA 1.0 water immersion objective. Select filters reflecting light at 473 nm (dichroic mirror) and passing light with wavelengths >510 nm (emission filter).
    4. Synchronize illumination, stimulation and image acquisition using an AD/DA board with the respective control software. Set the trigger program to control acquisition with a laser exposure time of 180 ms and an image acquisition time of 160 ms. Use the laser positioning device to send the laser beam to a predetermined number of points and define the settings for Scanning velocity and Spot size.
    5. Acquire an image of both autofluorescence and iGluu-positive structures using a high pass filter at 510 nm ("yellow image").
    6. Acquire an image with autofluorescence alone using a high-pass filter at 600 nm ("red image").
    7. Scale the red and yellow images, using the mean intensities of the 10 brightest and the 10 darkest pixels to define the range. Perform a subtraction "yellow minus red image" and rescale the subtracted image to generate a standard 8-bit tif file for convenient visualization of the bouton of interest (Figure 1D). It contains the bright pixels from the iGluu-positive structures, grey pixels from the background and dark pixels from structures with autofluorescence.
      NOTE: With the given equipment the mean resting fluorescence (F) will be below 700 A.U.
  3. Bouton search mode
    NOTE: iGluu-positive pixels may belong to functionally different elements of the axonal tree, such as axon branches of different order, sites of bifurcation, varicosities after vesicle depletion or fully active varicosities. However, it is almost impossible to identify functional synaptic terminals just by visual inspection. Therefore, each glutamatergic synaptic terminal needs identification by its responsiveness to electrical depolarization. Sites that do not respond to stimulation have to be discarded. The physiological means to induce glutamate release from corticostriatal axons is to elicit an action potential. This can either be achieved by using a channel rhodopsin of appropriate spectral characteristics or by electrical stimulation of an axon visualized by iGluu itself. To avoid accidental opsin activation, we preferred the latter approastep
    1. Use the micropipette puller (in a four-step mode) to produce stimulation pipettes from borosilicate glass capillaries. The internal tip diameter should be about 1 µm. When filled with ACSF, the electrode resistance should be about 10 MΩ.
    2. To induce the action potential-dependent release of glutamate from a set of synaptic boutons attached to the same axon, use 63x magnification, the 510 nm emission filter and the subtracted image to place a glass stimulation electrode next to a fluorescent varicosity. Avoid the proximity of additional axons.
    3. Turn on the stimulator to deliver depolarizing current pulses to the stimulation pipette. Use current intensities around 2 µA (no more than 10 µA).
    4. Turn on the multi-channel bath application system where one channel delivers the standard bath solution and the other channels deliver the necessary blockers of ion channels, transporters or membrane receptors. Control the flow at the site of recording and then switch to the tetrodotoxin (TTX) channel (bath solution plus 1 µM TTX). After 2–3 min, stimulate the bouton of interest again, but now in the absence of action potential generation. The release is directly due to calcium influx through voltage-depended calcium channels.
    5. By turning the intensity key on the stimulator, adjust the stimulation current to obtain responses similar to those elicited via action potentials. Typically, the stimulation current would be around 6 µA for a 0.5 ms depolarization.
    6. For basic testing of the preparation, apply 0.5 mM CdCl2. The presence of this calcium channel blocker glutamate release completely prevents the synaptic glutamate release thereby validating the calcium dependence of the directly evoked glutamate signal.
      NOTE: The following general recommendation may help to increase the success rate of single synapse experiments in the striatum. To select glutamatergic synaptic terminals with intact release machinery, a varicosity should: (i) Have a smooth spindle-like shape; (ii) Not be associated with an axon bifurcation; (iii) Be brighter than other structures on the "yellow image"; (iv) Reside in the striatal neuropil rather than in the fiber tracts; (v) Reside on a very thin axon branch; (vi) Not reside within the deeper parts of the slice.

3. Visualization of Glutamate Release and Clearance

  1. Recording mode
    NOTE: After the subtraction of the autofluorescence (step 2.2) and a few initial tests for responsiveness of the bouton of interest (Step 2.3), data acquisition can begin. The responses to electrical activation of glutamate release from single axon terminals can be observed in the image directly (Figure 2), without applying further analysis tools. However, it proved to be very convenient to immediately extract some basic indicators of synapse performance (Figure 3). This information is needed to make decisions on subsequent course of experiment, such as selection of particular terminal types, rapid assessment of HD-related alterations, the number and frequency of trials or drugs to be applied with the superfusion system. It might also be necessary to deal with eventually appearing artifacts. First, the standard settings for data recording is described.
    1. Using the microscope XY drives, place the tested iGluu-positive bouton close to the viewfield center. Stop the image acquisition with the Abort acquisition button. On the last acquired picture, determine the XY position of the resting bouton center by clicking on it with the left mouse button. The XY coordinates of the set cursor will be shown on the bottom status panel of the acquisition window.
    2. Using the calibration data (step 2.1.6), calculate the coordinates of the site where the laser beam should be sent for the excitation of the iGluu fluorescence. Use the following equations: X laser = X camera * X factor + X offset, Y laser = Y offset – Y camera * Y factor. While performing this recalculation, pay attention to the vertical or horizontal flip settings of the camera.
    3. Create a one-point sequence in the laser control software using the calculated coordinates. For this purpose, select Point in the Add to sequence box on the Sequence page of the laser control software. Select 10 µs for the delay to trigger onset and 180 ms for the laser pulse time. Move the mouse to the calculated coordinates and click left button.
    4. Select the following settings in the laser control software: Runs: 0, Run delay: 0, Sequence: Run at TTL. Then click Start sequence.
    5. In the camera control software, select the following settings: On the Binning/ROI page, set Image Area: Custom, Pixel Binning: 2x2, Height: 20, Width: 20, Left: X-coordinate of the resting iGluu-positive spot minus 10 px, Bottom: Y-coordinate of the resting iGluu-positive spot minus 10 px, Acquisition Mode: Kinetic Series, Kinetic Series Length: 400, Exposure Time: 0.0003744s (minimal value). With such settings, the acquisition rate will be 2.48 kHz.
    6. Select Trigger mode: External. Click Take signal in the camera control software. Initiate the experimental protocol laid down for the trigger device.
    7. Implement the experimental protocol Trial with the following time line: 0 ms – start trial, 1 ms – start laser illumination, 20 ms – start image acquisition with camera, 70 ms – start electrical stimulation 1, 120 – start electrical stimulation 2, 181 ms – end trial (laser and camera off). Thus, during one trial the camera acquires 400 frames with a frequency of 2.48 kHz. See steps 2.3.3 and 2.3.5. for details on electrical stimulation.
    8. To allow for sufficient recovery of presynaptic vesicle pools, apply the protocol Trial with a repetition frequency of 0.1 Hz or lower.
  2. Off-line construction of the glutamate transient and rapid assessment of glutamate release and clearance for the identification of pathological synapses
    1. Turn on the evaluation routines. Here, we use an in-house-written software SynBout v. 3.2. (author: Anton Dvorzhak). The following steps are needed to construct a ΔF/F transient from the pixels with elevated iGluu fluorescence as in the video of Figure 2.
    2. To determinate the bouton size, calculate the mean and standard deviation (SD) of the ROI fluorescence intensity at rest (F), before the onset of stimulation. Determine and box the area occupied by pixels with F>mean + 3 SD (Figure 3A). Determine a virtual diameter (in µm) assuming a circular form of the supra-threshold area.
    3. Determine ΔF as the difference between the peak intensity value and F. Plot the stimulating current and ΔF/F against time (Figure 3B). Calculate the SD of ΔF/F at rest (before the onset of stimulation) and the "Peak amplitude". Use pixel with peak amplitude more than 3 SD of ΔF/F to perform monoexponential fitting for the decay from peak. Determine the time constant of decay TauD of ΔF/F.
    4. To estimate the "Maximal amplitude" at a given synapse, select the pixel with the highest ΔF/F value. It is typically located within or next to the boundaries of the resting bouton iGluu fluorescence. The "Maximal amplitude" would be the best indicator of the glutamate load presented to the clearance machinery of a single synapse.
    5. To estimate the spatial extension of the iGluu signal, determine the diameter of the area of all supra-threshold pixels combined to form a virtual circle. The respective diameter is called "Spread". The term "Peak spread" then refers to the peak value of the averaged spread transient (Figure 3C, difference between dotted red lines).
  3. Corrections for possible artifacts
    NOTE: Electrical depolarization is associated with an outward flow of the intra-pipette solution. This may result in a small tissue displacement. To discriminate between stimulation-induced changes of iGluu and out-of-focus shifts of the image, one could use the following approach to identify and to eliminate displacement artifacts (Figure 4).
    1. Analyze the spatial characteristics of the suprathreshold pixels derived from a ROI with signs of displacement (Figure 4F–H).
    2. Find pixels outside the initially determined boundaries of the bouton at rest (Figure 4F–H, boxed in red).
    3. Identify eventually existing negative pixel intensity values (Figure 4I, J). Any ΔF/F in the negative direction with an amplitude larger than the pre-stimulation mean ± 3 SD should be regarded as artifact, and the record should be discarded.
    4. To avoid out-of-focus artifacts, place the stimulation electrode on the antero-lateral side of the synaptic bouton, use biphasic electrical stimulation and minimize the stimulation intensity/duration.
      NOTE: Out-of-focus artifacts can also be derived from the camera. If the latter is not optimally fixed to the microscope it can produce oscillations, most likely due to small vibrations of the camera cooling system. Such vibrations create a "yin and yang" pattern in the ΔF/F images rotating with a frequency of 50 Hz. The vibrations can be mathematically subtracted from the fluorescence signal, but the final quality of the measurements would then critically depend on the recording time.
    5. Fix the camera to the microscope such that vibrations are absent. If the latter remain, place a rubber gasket between the camera and microscope adapter.
      NOTE: One cannot neglect the possibility that the striatal neuropil around the synapse of interest contains glutamatergic varicosities that do not express iGluu and therefore remain invisible. In the case of their co-activation (more likely in the absence of TTX) the transients obtained from the boutons of interest might be affected by spill-over. The same applies to iGluu-expressing terminals that were out of focus. A characteristic phenomenon would in this case be that fluorescence transients originate from a much wider area. As this response is eliminated by TTX, one can interpret it as an unspecific response induced by unwarranted multi-fiber activation.
    6. To correct for this unspecific multi-fiber response, follow the procedure outlined in Figure 5. Use the fluorescence signal of pixels at the viewfield boundaries. To minimize background response, minimize stimulation intensity and duration or use TTX.

Subscription Required. Please recommend JoVE to your librarian.

Representative Results

Identification of two types of corticostriatal glutamatergic varicosities
IT and PT afferents originate in layer 2/3 and 5, respectively, and exhibit differential ramification and termination patterns in the ipsilateral and contralateral (IT terminals only) striatum. Still little is known about the properties of glutamate release and clearance under repetitive activation conditions as observed during the initiation of movements, but it is well documented that the respective glutamate-releasing varicosities differ in size22. Applying a size criterion, it was found that IT and PT terminals exhibit contrasting forms of short-term plasticity24. At stimulus intervals of 50 ms, the smaller IT terminals were prone to paired pulse depression (PPD) while the larger PT terminals showed paired pulse facilitation. This difference was also observed at shorter intervals (20 ms) and throughout a series of 6 pulses. Figure 3 and Figure 6 illustrate these experiments where synaptic glutamate release was elicited via the action potential mechanism at physiological Ca2+/Mg2+ concentration.

Identification of dysfunctional synapses in mice with advanced Huntington's disease
Neurodegenerative diseases such as Alzheimer's, Parkinson's and Huntington's disease are characterized by an ever progressing loss of glutamatergic synapses36. Novel therapies aim to impede or even reverse this fatal progression. What exactly triggers the disappearance of a synapse, and when, is largely unknown. Further insight can be expected from studies that offer criteria for (a) the vital identification of a particular class of glutamatergic synapses and (b) the detection of dysfunctional versus normally performing contacts. Here it will be shown how the TauD values obtained from PT-type of terminals were used to estimate the fraction of dysfunctional synapses in Q175 heterozygotes with an identified motor phenotype.

Prior to the single synapse imaging experiments, the mice were submitted to a rapid but rather robust test for alterations in their exploratory behaviors. This test is called "step-over test". The animal was placed into the center of a Petri dish (of 185 mm diameter and 28 mm wall height). The test was recorded with a video camera. Using offline analysis, one can determine the time between the take-off of the experimenter's hand and the moment when the animal has all 4 feet out of the dish. Plotting the data from over 100 WT and Q175 HET at ages between 12 and 18 months suggests that mice with a step-over latency of >300 s can be diagnosed as hypokinetic. Figure 7A illustrates a significant positive correlation between the results obtained for the total path run in the open field and the step-over latency.

Single synapse iGluu imaging showed that these symptomatic HD mice exhibited a deficit in the speed of juxtasynaptic glutamate decay as reflected in the TauD values from single (or first in a sequence) stimuli (Figure 7B,C). In WT, such prolongation was only observed after the application of a selective non-transportable inhibitor of glutamate uptake — DL-threo-β-benzyloxyaspartic acid (TBOA, Figure 7D,E). This suggests a role of astrocytic glutamate transporters in the regulation of synaptic glutamate clearance. Changes in the diffusion of Glu in the perisynaptic space have not been found24. But, of course, much more work is needed to actually identify the cause of slowed glutamate clearance in HD as well as in other forms of parkinsonism. Apart from changes in the astrocyte proximity9 and reduced slc1A2 expression37, one may as well consider disease-related instability of EAAT2 in the plasma membrane of the perisynaptic astrocyte processes (PAPs). This might be a result of changes in the EAAT2 interactome. Indeed, recent mass spectroscopy experiments in the lab point to a loss of EAAT2-dystrophin interaction in striatal astrocytes (Hirschberg, Dvorzhak, Kirchner, Mertins and Grantyn, unpublished).

Very little is known regarding the timeline of synaptic dysfunction with progression of HD, but it is very likely that healthy synapses co-exist with already impaired ones. In searching for a classification criterion, we examined the TauD data from different mice. For this purpose, the amplitude and TauD values from 3 consecutive paired trials were normalized to the first response (see Figure 6F for an experimental scheme), and the probability of occurrence of a given TauD value was compared in age-matched WT versus Q175 HET (Figure 6G). It was found that in WT TauD never exceeded 15 ms, while in symptomatic Q175 HET, 40% of the synapses exhibited TauD values between 16 and 58 ms, despite a tendency for a reduction in the amount of released glutamate (Figure 6H,I). TauD might then be regarded as a biomarker for dysfunctional synapses in HD and further be used to verify functional recovery in experiments targeting astrocytic glutamate transport.

Figure 1
Figure 1: Identification of iGluu-positive varicosities. (A) Fluorescence image obtained with a 510 nm high pass filter ("yellow image"). (B) Same view field acquired with a 600 nm high pass filter ("red image"). Note that that the spot marked with black arrowhead has disappeared in (B). Overlay of (A) and (B). White arrow = autofluorescence, black arrow = iGluu-positive varicosity. (D) Image obtained by subtraction of (B) from (A). The autofluorescent spots are dark and the iGluu+ spot is bright. Please click here to view a larger version of this figure.

Figure 2
Figure 2: Movie still from a slow-motion video (slowdown factor 1240x). Upper row: Images from WT (left), Q175 HET (middle) and HOM (right). Lower row: Respective iGluu transients from the pixel with the highest glutamate elevation (Maximal ΔF/F). The red cursor indicates the point on the transient corresponding to the image above the trace. note prolonged elevation of iGluu fluorescence (red pixels and ΔF/F transients). Modified and reprinted with permission from Dvorzhak et al.24 Please click here to view a larger version of this figure.

Figure 3
Figure 3: Extraction of functional indicators from single synapse images of the genetically encoded ultrafast Glu sensor iGluu in corticostriatal neurons. (A, D) Example of a PT (A) and IT (D) bouton with the respective iGluu fluorescence at rest (left) and at the peak of an AP-mediated iGluu response (right). (B, C, E, F) iGluu responses recorded from the bouton shown in (A, D); Experiment in 2 mM Ca2+ and 1 mM Mg2+. (B) Simultaneous recording of the stimulation current (upper trace) and mean intensity of supra-threshold pixels (bottom trace). Same time scale for all traces. Peak amplitudes (between dotted red horizontal lines) and a monoexponential function fitted to the decay from this peak (red overlay). The corresponding TauD (τ) values are shown next to the fitting curves. (E, F) Plot of spread against time. Peak spread: difference between dotted red horizontal lines. Please click here to view a larger version of this figure.

Figure 4
Figure 4: Characteristics of a glutamate-induced iGluu transient (A–E) as opposed to a displacement artifact (F–J). (A, B) and (F, G) show the absolute fluorescence intensity at rest (A, F) and after stimulation (B, G) in arbitrary units (au). (C, H) Fluorescence change in percent of the resting fluorescence prior to stimulation (ΔF/F%). (D, I) Superposition of the iGluu transients from all pixels in arbitrary units. (E, J) Superposition of the iGluu transients from all pixels in ΔF/F %. In the case of synaptic glutamate release, the pixels next to the resting terminal exhibit a fluorescence increase after stimulation, whereas in the case of out-of-focus shifts the brightest pixel at rest merely change their position in the ROI, without an accompanying increase in the over-all fluorescence intensity of the view-field. A displacement artifact can also be recognized by the appearance of negative ΔF/F signals (J). Please click here to view a larger version of this figure.

Figure 5
Figure 5: Correction for unspecific iGluu response. (A–D) Example of paired synaptic response contaminated by an unspecific background response. (E–H) Same after correction. (A, E) Before stimulation. (B, F) During stimulation. (C, G) After stimulation. (D, H) Corresponding superimposed intensity transients (in ΔF/F) from all pixels of the ROI. The timepoint of acquisition of the images is marked by corresponding small letters over the arrowheads. Note that in panel C the background response is very widespread and slowly decaying. Please click here to view a larger version of this figure.

Figure 6
Figure 6: Distinct size and size-related differences in the amplitude paired pulse ratio (PPR) of the iGluu transient. (A) Simplified scheme of the corticostriatal circuitry22, illustrating the concept of preferential projection of pyramidal tract (PT) neurons to indirect pathway striatal projection neurons (iSPNs) and intratelencephalic (IT) neurons to direct pathway SPNs (dSPNs), with size-differences between the IT and PT terminals. (B) Bimodal distribution of bouton diameters as determined by the supra-threshold resting fluorescence before stimulation. Boutons with diameter ≥0.63 µm were defined as "Large" and assumed to be issued by PT axons. For original images and specimen traces from PT- and IT-type of synapses see Figure 3. (C) Significant positive correlation is seen between the PPR of peak amplitudes and the bouton diameters. Each data point represents the average from the first 3 trials of each bouton. *P < 0.05, **P < 0.01, ***P < 0.001. Please click here to view a larger version of this figure.

Figure 7
Figure 7: Identification of dysfunctional synapses in Q175 mice with a hypokinetic phenotype. (A) Results of motor testing on the day of single synapse imaging. Step-over latencies >300 ms were considered as pathological. At the age tested (average 16 months), 17/54 HET exhibited a pronounced phenotype in the step-over test. With regard to hypokinesia, the step-over test seems to be more sensitive than the open field test. Nevertheless, there was a significant correlation between the outcome of the step-over test (time between placement and barrier crossed with all four feet) and the open field test (i.e., total path run in 5 min). Y = -0.01511X + 458,7; P = 0.0044 (simple regression). (B) Average evoked single synapse iGluu transients normalized to same peak amplitude to illustrate HD-related differences in the clearance of synaptically released glutamate. The respective fitting curves highlight the differences in the duration of the glutamate transients. (C) Quantification of the results from wild-type (grey), HET (red) and HOM (magenta). (D, E) Incubation of WT slices in 100 nM of TFB-TBOA simulated the depression of glutamate clearance observed in HOM. (F) Scheme of synapse activation and data organization. (G) Cumulative histograms of #1 TauD values. (H, I) Plots of normalized #2 responses. Data from 31 WT and 30 HET synapses (all of PT type). In the WT sample all TauDmax values were ≤15 ms. In the HET sample, 40% of synapses exhibited TauDmax values exceeding the 15 ms threshold defined by the longest TauDmax in WT. These graphs emphasize the HD-related differences in the ranges of maximal amplitude (i.e., the value from the pixel with the highest iGluu fluorescence increase) and TauDmax (the TauD of the pixel with the highest elevation). TauDmax values exclusively encountered in HET are shown in red, and amplitude values exclusively seen in WT are shown in grey. *P < 0.05, **P < 0.01, ***P < 0.001. The used statistical tests are indicated next to the respective graph. Please click here to view a larger version of this figure.

Subscription Required. Please recommend JoVE to your librarian.


The experiments concern a question of general interest — synapse independency and its possible loss in the course of neurodegeneration, and we describe a new approach to identify affected synapses in acute brain slices from aged (>1 year) mice. Taking advantage of the improved kinetic characteristics of the recently introduced glutamate sensor iGluu the experiments illuminate the relationship between synaptic glutamate release and uptake in a way that has not been possible before.

The influence of glutamate clearance on the function and maintenance of synapses is not very well elucidated, although the hypothesis that glutamate-induced excitotoxicity can cause neuron loss and synapse pruning is mentioned in almost any pertinent review on epilepsy, stroke and neurodegenerative diseases38,39,40,41. However, the available evidence is more limited than possibly anticipated from the literature. Confusion is further added by the fact that the selected experimental tools might be insufficient in view of the problems associated with low spatial and temporal resolution when interpreting the results obtained with gross stimulation and recording techniques42,43. This can lead to false negatives discouraging further research, which is more than unfortunate in view of neurologic disorders as severe as Huntington's disease. The present approach ensures better signal discrimination and therefore stronger support of the idea that in HD a significant fraction of corticostriatal synapses exhibits signs of impaired glutamate clearance.

The present results disclosed differences of short-term plasticity within the corticostriatal pathway. Although the latter had been in the focus of numerous studies17,44, it has not been anticipated that the afferents originating from the upper cortical layers would exhibit frequency-dependent depression, in contrast to pyramidal tract afferents originating in layer 5. The latter preferentially showed a frequency-dependent potentiation of release and may therefore be at higher risk for glutamate uptake insufficiency.

Experiments on acute brain slices from adult mice are important for elucidating synaptic alterations at an appropriate age of life. The age and functional state of the preparation is particularly relevant if astrocytes were involved in the mechanism of interest. Here, it is essential that the astrocytes are mature enough to exhibit adult levels of glutamate transporter activity and related chloride homeostasis45.

Single synapse assays will pave the road towards a better understanding of HD-related changes of glutamatergic synaptic transmission in the intact brain46. It has been shown that single synapse resolution can also be achieved in the intact brain, provided that the synapses of interest are localized in the superficial layers of the cerebral cortex47.

Finally, the present experimental approach has the appeal that it can be used by many followers, since the required equipment is still on the low-cost side.

In short, fluorescence signals reporting glutamate release and the juxtasynaptic changes in the concentration of glutamate in the intact brain can provide data unachievable with any electrophysiological method. But as with any new method, this approach has its limitations and disadvantages that have in part been addressed in steps 2.2 and 3.3. The low resting fluorescence of the fast and high affinity iGluu sensor requires a bit of exercise/experience to identify suitable varicosities for further testing. With co-expression of a genetically encoded calcium indicator (GECI) such as XCaMP-R48 and at least two coordinated lasers illumination systems, the search of functional axon terminals would become much easier. In any case, it is critical to expose the preparation as little as possible to the exciting light before and during iGluu recording.

The use of a 473 nm laser (instead of the regular whole field elimination) to elicit iGluu fluorescence is a prerequisite for obtaining sufficient emission but will also cause bleaching. Under the given conditions, iGluu was fully bleached after 10 stimulation/acquisition trials (10 stimulus pairs at an inter-stimulus interval of 50 ms and a repetition rate of 1/10 s). The maximal total illumination time for steady-state data acquisition with the presently used 1 photon laser system and the described setting was approximately 2 s. The bleaching of iGluu is exponential, being very strong during the first 20 ms after illumination start and much slower thereafter. It is therefore advisable to avoid signal acquisition during the first 20 ms of each trial and to acquire not more than a total of 10 response pairs. Responses to single stimuli could be recorded with exposure times of 60–80 ms instead of the presently used 180 ms.

Another critical issue is the expression level of iGluu. In the pioneering study of Helassa et al.27, the viral constructs were applied by electroporation to cultured neurons27, which produces higher expression levels of the sensor and presumably also less bleaching especially if a two-photon laser scanning device can be used instead of a one-photon microscope. Dürst et al.49 report routine acquisition of postsynaptic expression of iGluu in CA1 pyramidal neurons in ~100 trials (each exposed for only 80 ms). However, cultured brain tissue is not an option when the experiments aim at clarifying astrocyte-dependent synaptic functions in the aged brain. A CaMKII-Cre-dependent expression of iGluu using a stronger promoter may provide preparations with stronger expression in fewer cells, thereby increasing the resolution of the method and allowing for the acquisition of more trials per synapse.

Subscription Required. Please recommend JoVE to your librarian.


The authors have nothing to disclose.


This work was supported by CHDI (A-12467), the German Research Foundation (Exc 257/1 and DFG Project-ID 327654276 – SFB 1315) and intramural Research Funds of the Charité. We thank K. Török, St. George's, University of London, and N. Helassa, University of Liverpool, for the iGluu plasmid and many helpful discussions. D. Betances and A. Schönherr provided excellent technical assistance.


Name Company Catalog Number Comments
Stereo microsope WPI PZMIII Precision Stereo Zoom Binocular Microscope
Stereotaxic frame Stoelting 51500D Digital Lab New Standard stereotaxic frame
High speed drill equipment Stoelting 514439V Foredom K1070 cromoter Kit
Injection system Stoelting 53311 Quintessential Stereotaxic Injector (QSI)
Hamilton syringe 5 µl Hamilton 87930 75RN Syr (26s/51/2)
Laser positioning system Rapp OptoElectronic UGA-40 UGA-40
Blue laser for iGluu excitation Rapp OptoElectronic DL-473-020-S 473 nm laser
Dichroic mirror for 473 nm Rapp OptoElectronic ROE TB-355-405-473 Dichroic
1P upright microscope Carl Zeiss 000000-1066-600 Axioskop 2 FS Plus
Objective 63x/1.0 Carl Zeiss 421480-9900 W Plan-Apochromat
4x objective Carl Zeiss 44-00-20 Achroplan 4x/0,10
Dichroic mirror for iGluu Omega optical XF2030
Emission filter for iGluu Omega optical XF3086
Dichroic mirror Omega optical QMAX_DI580LP
Emission filter for autofluorescence subtr. Omega optical QMAX EM600-650
sCMOS camera Andor ZYLA4.2PCL10 ZYLA 4.2MP Plus
Acqusition software Andor 4.30.30034.0 Solis
AD/DA converter HEKA Elektronik 895035 InstruTECH LIH8+8
Aquisition software HEKA Elektronik 895153 TIDA5.25
Electrode positioning system Sutter Instrument MPC-200 Micromanipulator
Electrical stimulator Charite workshops STIM-26
Slicer Leica VT1200 S Vibrotome
Brown/Flaming-type puller Sutter Instr SU-P1000 P-1000
Glass tubes for injection pipettes WPI 1B100F3
Glass tubes forstimulation pipettes WPI R100-F3
Tetrodotoxin Abcam ab120054 TTX
iGluu plasmid Addgene 106122 pCI-syn-iGluu
Q175 mice Jackson Lab 27410 Z-Q175-KI



  1. Magee, J. C. Dendritic integration of excitatory synaptic input. Nature Reviews Neuroscience. 1, 181-190 (2000).
  2. Thome, C., et al. Axon-carrying dendrites convey privileged synaptic input in hippocampal neurons. Neuron. 83, 1418-1430 (2014).
  3. Larkum, M. E., Petro, L. S., Sachdev, R. N. S., Muckli, L. A Perspective on Cortical Layering and Layer-Spanning Neuronal Elements. Frontiers in Neuroanatomy. 12, 56 (2018).
  4. Spruston, N. Pyramidal neurons: dendritic structure and synaptic integration. Nature Reviews Neuroscience. 9, 206-221 (2008).
  5. Khakh, B. S., et al. Unravelling and exploiting astrocyte dysfunction in Huntington's disease. Trends in Neurosciences. 40, 422-437 (2017).
  6. Perea, G., Navarrete, M., Araque, A. Tripartite synapses: astrocytes process and control synaptic information. Trends in Neurosciences. 32, 421-431 (2009).
  7. Perea, G., Araque, A. Astrocytes potentiate transmitter release at single hippocampal synapses. Science. 317, 1083-1086 (2007).
  8. Savtchenko, L. P., et al. Disentangling astroglial physiology with a realistic cell model in silico. Nature Communications. 9, 3554 (2018).
  9. Octeau, J. C., et al. An optical neuron-astrocyte proximity assay at synaptic distance scales. Neuron. 98, 49-66 (2018).
  10. Verkhratsky, A., Nedergaard, M. Physiology of astroglia. Physiological Reviews. 98, 239 (2018).
  11. Xie, Z., Yang, Q., Song, D., Quan, Z., Qing, H. Optogenetic manipulation of astrocytes from synapses to neuronal networks: A potential therapeutic strategy for neurodegenerative diseases. Glia. 10, (2019).
  12. Verkhratsky, A., Parpura, V., Pekna, M., Pekny, M., Sofroniew, M. Glia in the pathogenesis of neurodegenerative diseases. Biochemical Society Transactions. 42, 1291-1301 (2014).
  13. Dvorzhak, A., Melnick, I., Grantyn, R. Astrocytes and presynaptic plasticity in the striatum: Evidence and unanswered questions. Brain Research Bulletin. 17-25 (2017).
  14. Rose, C. R., et al. Astroglial Glutamate Signaling and Uptake in the Hippocampus. Frontiers in Molecular Neuroscience. 10, 451 (2018).
  15. Scimemi, A., Diamond, J. S. Deriving the time course of glutamate clearance with a deconvolution analysis of astrocytic transporter currents. Journal of Visualized Experiments. (10), (2013).
  16. Theodosis, D. T., Poulain, D. A., Oliet, S. H. Activity-dependent structural and functional plasticity of astrocyte-neuron interactions. Physiological Reviews. 88, 983-1008 (2008).
  17. Reiner, A., Deng, Y. P. Disrupted striatal neuron inputs and outputs in Huntington's disease. CNS Neuroscience & Therapeutics. 24, 250-280 (2018).
  18. Plotkin, J. L., Surmeier, D. J. Corticostriatal synaptic adaptations in Huntington's disease. Current Opinion in Neurobiology. 33, 53-62 (2015).
  19. Villalba, R. M., Smith, Y. Loss and remodeling of striatal dendritic spines in Parkinson's disease: from homeostasis to maladaptive plasticity. Journal of Neural Transmission (Vienna). 125, 431-447 (2018).
  20. Huerta-Ocampo, I., Mena-Segovia, J., Bolam, J. P. Convergence of cortical and thalamic input to direct and indirect pathway medium spiny neurons in the striatum. Brain Structure and Function. 219, 1787-1800 (2014).
  21. Kincaid, A. E., Zheng, T., Wilson, C. J. Connectivity and convergence of single corticostriatal axons. Journal of Neuroscience. 18, 4722-4731 (1998).
  22. Reiner, A., Hart, N. M., Lei, W., Deng, Y. Corticostriatal projection neurons - dichotomous types and dichotomous functions. Frontiers in Neuroanatomy. 4, 142 (2010).
  23. Rothe, T., et al. Pathological gamma oscillations, impaired dopamine release, synapse loss and reduced dynamic range of unitary glutamatergic synaptic transmission in the striatum of hypokinetic Q175 Huntington mice. Neuroscience. 311, 519-538 (2015).
  24. Dvorzhak, A., Helassa, N., Torok, K., Schmitz, D., Grantyn, R. Single synapse indicators of impaired glutamate clearance derived from fast iGluu imaging of cortical afferents in the striatum of normal and Huntington (Q175) mice. Journal of Neuroscience. 39, 3970-3982 (2019).
  25. Rebec, G. V. Corticostriatal network dysfunction in Huntington's disease: Deficits in neural processing, glutamate transport, and ascorbate release. CNS Neuroscience & Therapeutics. 10, (2018).
  26. Friedman, A., et al. Chronic Stress Alters Striosome-Circuit Dynamics, Leading to Aberrant Decision-Making. Cell. 171, 1191-1205 (2017).
  27. Helassa, N., et al. Ultrafast glutamate sensors resolve high-frequency release at Schaffer collateral synapses. Proceedings of the National Academy of Sciences of the United States of America. 115, 5594-5599 (2018).
  28. Marvin, J. S., et al. An optimized fluorescent probe for visualizing glutamate neurotransmission. Nature Methods. 10, 162-170 (2013).
  29. Paxinos, G., Franklin, K. B. J. The Mouse Brain in Stereotaxic Coordinates. Elsevier. (2003).
  30. Marcaggi, P., Attwell, D. Role of glial amino acid transporters in synaptic transmission and brain energetics. Glia. 47, 217-225 (2004).
  31. Bergles, D. E., Diamond, J. S., Jahr, C. E. Clearance of glutamate inside the synapse and beyond. Current Opinion in Neurobiology. 9, 293-298 (1999).
  32. Papouin, T., Dunphy, J., Tolman, M., Foley, J. C., Haydon, P. G. Astrocytic control of synaptic function. Philosophical Transactions of the Royal Society B: Biological Sciences. 372, 20160154 (2017).
  33. Tzingounis, A. V., Wadiche, J. I. Glutamate transporters: confining runaway excitation by shaping synaptic transmission. Nature Reviews Neuroscience. 8, 935-947 (2007).
  34. Nedergaard, M., Verkhratsky, A. Artifact versus reality--how astrocytes contribute to synaptic events. Glia. 60, 1013-1023 (2012).
  35. Octeau, J. C., Faas, G., Mody, I., Khakh, B. S. Making, Testing, and Using Potassium Ion Selective Microelectrodes in Tissue Slices of Adult Brain. Journal of Visualized Experiments. (10), (2018).
  36. Shrivastava, A. N., Aperia, A., Melki, R., Triller, A. Physico-Pathologic Mechanisms Involved in Neurodegeneration: Misfolded Protein-Plasma Membrane Interactions. Neuron. 95, 33-50 (2017).
  37. Langfelder, P., et al. Integrated genomics and proteomics define huntingtin CAG length-dependent networks in mice. Nature Neuroscience. 19, 623-633 (2016).
  38. Pal, B. Involvement of extrasynaptic glutamate in physiological and pathophysiological changes of neuronal excitability. Cellular and Molecular Life Sciences. 75, 2917-2949 (2018).
  39. Pekny, M., et al. Astrocytes: a central element in neurological diseases. Acta Neuropathologica. 131, 323-345 (2016).
  40. Bading, H. Therapeutic targeting of the pathological triad of extrasynaptic NMDA receptor signaling in neurodegenerations. Journal of Experimental Medicine. 214, 569-578 (2017).
  41. Pajarillo, E., Rizor, A., Lee, J., Aschner, M., Lee, E. The role of astrocytic glutamate transporters GLT-1 and GLAST in neurological disorders: Potential targets for neurotherapeutics. Neuropharmacology. 10, (2019).
  42. Jensen, T. P., Zheng, K., Tyurikov, aO., Reynolds, J. P., Rusakov, D. A. Monitoring single-synapse glutamate release and presynaptic calcium concentration in organised brain tissue. Cell Calcium. 64, 102-108 (2017).
  43. Reynolds, J. P., Zheng, K., Rusakov, D. A. Multiplexed calcium imaging of single-synapse activity and astroglial responses in the intact brain. Neuroscience Letters. 10, (2018).
  44. Kuo, H. Y., Liu, F. C. Synaptic Wiring of Corticostriatal Circuits in Basal Ganglia: Insights into the Pathogenesis of Neuropsychiatric Disorders. eNeuro. 6, 19 (2019).
  45. Untiet, V., et al. Glutamate transporter-associated anion channels adjust intracellular chloride concentrations during glial maturation. Glia. 65, 388-400 (2017).
  46. Burgold, J., et al. Cortical circuit alterations precede motor impairments in Huntington's disease mice. Scientific Reports. 9, 6634 (2019).
  47. Jensen, T. P., et al. Multiplex imaging relates quantal glutamate release to presynaptic Ca (2+) homeostasis at multiple synapses in situ. Nature Communications. 10, 1414 (2019).
  48. Inoue, M., et al. Rational Engineering of XCaMPs, a Multicolor GECI Suite for In Vivo Imaging of Complex Brain Circuit Dynamics. Cell. 177, 1346-1360 (2019).
  49. Durst, C. D., et al. High-speed imaging of glutamate release with genetically encoded sensors. Nature Protocols. 14, 1401-1424 (2019).



    Post a Question / Comment / Request

    You must be signed in to post a comment. Please sign in or create an account.

    Usage Statistics