Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity

Hiroyuki Kida; Yuya Sakimoto; Dai Mitsushima

doi:10.3791/55876

JoVE Journal > Neuroscience

Neurowissenschaften

Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity

Published: November 11, 2017

doi:

10.3791/55876

Hiroyuki Kida¹, Yuya Sakimoto¹, Dai Mitsushima¹

¹Department of Physiology,Yamaguchi University Graduate School of Medicine

Summary

The slice patch clamp technique is an effective method for analyzing learning-induced changes in the intrinsic properties and plasticity of excitatory or inhibitory synapses.

Abstract

The slice patch clamp technique is a powerful tool for investigating learning-induced neural plasticity in specific brain regions. To analyze motor-learning induced plasticity, we trained rats using an accelerated rotor rod task. Rats performed the task 10 times at 30-s intervals for 1 or 2 days. Performance was significantly improved on the training days compared to the first trial. We then prepared acute brain slices of the primary motor cortex (M1) in untrained and trained rats. Current-clamp analysis showed dynamic changes in resting membrane potential, spike threshold, afterhyperpolarization, and membrane resistance in layer II/III pyramidal neurons. Current injection induced many more spikes in 2-day trained rats than in untrained controls.

To analyze contextual-learning induced plasticity, we trained rats using an inhibitory avoidance (IA) task. After experiencing foot-shock in the dark side of a box, the rats learned to avoid it, staying in the lighted side. We prepared acute hippocampal slices from untrained, IA-trained, unpaired, and walk-through rats. Voltage-clamp analysis was used to sequentially record miniature excitatory and inhibitory postsynaptic currents (mEPSCs and mIPSCs) from the same CA1 neuron. We found different mean mEPSC and mIPSC amplitudes in each CA1 neuron, suggesting that each neuron had different postsynaptic strengths at its excitatory and inhibitory synapses. Moreover, compared with untrained controls, IA-trained rats had higher mEPSC and mIPSC amplitudes, with broad diversity. These results suggested that contextual learning creates postsynaptic diversity in both excitatory and inhibitory synapses at each CA1 neuron.

AMPA or GABA_A receptors seemed to mediate the postsynaptic currents, since bath treatment with CNQX or bicuculline blocked the mEPSC or mIPSC events, respectively. This technique can be used to study different types of learning in other regions, such as the sensory cortex and amygdala.

Introduction

The patch clamp technique, developed by Neher and Sakmann, has been widely used for electrophysiological experiments¹. The whole-cell patch clamp technique² can be used to record intracellular current or voltage using the gigaohm seal of the cell membrane. The current-clamp technique allows us to analyze differences in membrane properties such as resting potential, resistance, and capacitance³. The voltage-clamp technique allows us to analyze learning-induced synaptic plasticity at both excitatory and inhibitory synapses.

The primary motor cortex (M1) is a central region that is critical for making skilled voluntary movements. Previous electrophysiological studies demonstrated the development of long-term potentiation (LTP)-like plasticity in layer II/III excitatory synapses after skilled motor training⁴. Moreover, in vivo imaging studies further demonstrated the remodeling of M1 dendritic spines after a skilled reaching task⁵^,⁶. However, learning-induced synaptic and intrinsic plasticity has not been shown in M1 neurons.

We recently reported that a rotor rod task promoted dynamic changes in glutamatergic and GABAergic synapses and altered the intrinsic plasticity in M1 layer II/III neurons⁷. Here we used the slice patch clamp technique to investigate learning-induced plasticity. This technique can also be used to investigate other types of experience-dependent plasticity in other brain regions. For example, sensory input into the barrel cortex can strengthen AMPA receptor-mediated excitatory input into layer II/III neurons⁸, and cued fear conditioning strengthens the excitatory inputs onto the lateral amygdala neurons, which is required for fear memory⁹. Moreover, contextual learning creates diversity in terms of excitatory and inhibitory synaptic input into hippocampal CA1 neurons¹⁰^,¹¹.

Protocol

All animal housing and surgical procedures were in accordance with the Guidelines for Animal Experimentation of Yamaguchi University School of Medicine and were approved by the Institutional Animal Care and Use Committee of Yamaguchi University.

1. Animals

Use 4- to 5-week-old male Sprague-Dawley rats (postnatal 28 to 31 days of age).
House the rats in individual plastic cages (40 cm × 25 cm × 25 cm) maintained at a constant temperature (23 °C ± 1 °C) under a 12-h light/dark cycle. Give rats ad libitum access to water and food.

2. Rotor rod test

To investigate motor skill learning, subject each rat to the rotor rod test (rod diameter 7 cm; lane width 8.9 cm; fall height 26.7 cm) for 1 or 2 consecutive days (Figure 1A in Kida et al., 2016⁷). Perform the task in a quiet, temperature-controlled room (23 ± 1 °C). Do not disturb or handle rats prior to the test.
Set the rotor rod to acceleration mode, which increases linearly from 4 rotations/min to 40 rotations/min (8 π/min to 80 π/min) in 5 min.
Put the rat on the resting rotating rod. Confirm that all limbs are on the rod.
Measure the latency to fall from the rotating rod to evaluate motor performance.
Allow each rat 10 attempts (trials) with 30-s intervals.
If the rat falls from the rotating rod, set it on the rod again after a 10-20 s interval.
Sacrifice the rat with an overdose of pentobarbital (400 mg/kg) 30 min after the final trial. Inject untrained control rats with the same dose of anesthesia in their home cages.

3. Inhibitory avoidance test

To investigate contextual learning, subject rats to an inhibitory avoidance (IA) test (Figure 1D in Mitsushima et al., 2011, 2013¹⁰^,¹¹) Avoid any episodic experiences on the day of the experiment such as contact with others, cage changes or cleaning. Perform the task in a quiet, temperature-controlled room (23 ± 1 °C).
NOTE: The IA training apparatus is a two-chambered acrylic box (length 33 cm; width 58 cm; height 33 cm). It has a lighted safe side and a dark shock side that are separated by a trap door (Figure 1D).
Place the rat in the safe (lit) side of the illuminated box. Handle the rat gently without stress.
Wait a short time (10 to 20 s) to acclimate the rat to the environment.
Open the sliding door to allow the rat to enter the dark box at will.
Measure the latency (s) before the rat enters the novel dark side of the box. The latency of the first trial represents the rat's performance before training.
After entry into the dark side, close the door and apply a scrambled electrical foot shock (2 s, 1.6 mA) via electrical steel rods set into the floor of the box. Allow walk-through rats to explore the training apparatus for 1 min without being shocked. House unpaired rats in an illuminated shock cage for several days and suddenly give the shock without episodic experiences. Handle gently without stress in any groups.
Keep each rat in the dark box for 10 s before returning it to the home cage.
At 30 min after the foot shock, again place the rat into the lighted side of the box. Measure the latency to enter the dark side.
Return the rat to the home cage.
At 60 min after the shock, sacrifice the rat with an overdose of pentobarbital (400 mg/kg). Handle the rat gently and inject the anesthesia intraperitoneally. In untrained control rats, inject the anesthesia in their home cages without the experience described above.

4. Dissection buffer

Dissolve crystals of 0.195 g NaH₂PO₄-2H₂O, 0.188 g KCl, 0.074 g CaCl₂, 1.423 g MgCl₂-6H₂O, and 12.579 g choline chloride in ultrapure water (900 mL to 950 mL). See Table 1.
Dissolve crystals of 2.340 g ascorbic acid, 0.342 g pyruvic acid sodium salt, 2.100 g NaHCO₃, and 4.500 g glucose.
Add water up to 1000 mL. The range of osmolality will be between 290 mOsm/L and 300 mOsm/L. Adjust osmolality by adding ultrapure water, if it is over the range.
Bubble the solution with 5% CO₂/95% O₂ gas mixture at ice-cold temperatures for 5 min before use.

5. Artificial cerebrospinal fluid (aCSF)

Dissolve crystals of 0.186 g KCl, 6.700 g NaCl, and 0.156 g NaH₂PO₄-2H₂O in ultrapure water (900 mL to 950 mL). See Table 2.
Bubble with the gas mixture for 5 min.
Dissolve crystals of 1.800 g glucose and 2.184 g NaHCO₃ and then add 4 mL MgCl₂ and 4 mL CaCl₂ from 1 M stock solutions.
Add water up to 1000 mL. The range of osmolality will be between 290 mOsm/L and 295 mOsm/L. Adjust osmolality by adding ultrapure water, if it is over the range.
Bubble with the gas mixture prior to use.

6. Intracellular solutions

For current-clamp recordings (Table 3), dissolve 0.0746 g KCl, 6.089 g K-gluconate, 0.476 g HEPES, 0.0456 g EGTA, and 500 µL MgCl₂ from 1 M stock solution in 180 mL ultrapure water (adjust pH to 7.2 with KOH).
1. Add 0.4408 g Na₂-ATP, 0.0418 g Na₃-GTP, and 0.510 g Na-phosphocreatine. Add water to 200 mL and adjust the pH to 7.35 with KOH.
2. Adjust the osmolality to around 290 mOsm/L by adding ultrapure water.
3. Store as 1-mL aliquots in the freezer (-30 °C).
For voltage-clamp recordings (Table 4), dissolve 5.244 g CsMeSO₃, 0.672 g CsCl, 0.476 g HEPES, 0.0456 g EGTA, and 500 µL MgCl₂ from 1 M stock solutions in 180 mL ultrapure water. Adjust the pH to 7.2 with CsOH. For mEPSP and mIPSP recordings, use modified concentration of 5.814 g CsMeSO₃ and 0.252 g CsCl to adjust the reversal potential of the GABA_A receptor response¹¹.
1. Add 0.4408 g Na₂-ATP, 0.0418 g Na₃-GTP, and 0.510 g Na-phosphocreatine. Add water to 200 mL and adjust the pH to 7.35 with CsOH.
2. Adjust the osmolality to around 290 mOsm/L by adding ultrapure water .
3. Store as 1-mL aliquots in the freezer (-30 °C).

7. Slice preparation

Prior to sacrifice, cool-down all dissection tools with crushed ice (Figure 2A). Add about 500 mL of cold water into the crushed ice container to increase the contact surface area. This procedure was described previously¹⁰^,¹¹^,¹².
NOTE: The tools here are: Large scissors, iris scissors, a spatula, a micro spatula, forceps, tweezers, a stainless steel 200-mL beaker, a blade for brain trimming, a 120-mL cardiac perfusion syringe filled with dissection buffer treated with the gas mixture, a silicone tube (20 cm) connected to a flattened 18-gauge needle, a stainless brain dissection stage (thickness = 3 mm, ϕ = 12 cm), and a mounting stage for the vibratome (ϕ = 5 cm).
Sacrifice the rat 30 min after completing the behavioral paradigm by anesthetizing it with an overdose of pentobarbital (400 mg/kg bodyweight). Perform the slice preparation rapidly to ensure that the slices are as healthy as possible¹⁰^,¹¹^,¹². The brain extraction protocol meets all veterinary standards for our university.
Fill a 120-mL syringe with ice-cold dissection buffer (Table 1) bubbled with a 5% CO₂/95% O₂gas mixture. Remove any air bubbles prior to perfusion.
After exposing the heart, insert the needle into the posterior part of the left ventricle.
Perform transcardial perfusion of the brain manually using the syringe. Larger rats require more dissection buffer for perfusion. Submerge the brain with ice-cold dissection buffer for 5 min. Bubble the buffer continuously during the submersion.
Trim the posterior side of the brain at an angle parallel to the dendritic orientation of the target cortical region using a blade. Since the brain is stand on dissection stage with the cut end bottom, the initial angle determines the angle of all subsequent brain slices. This step is critically important (Figure 2B). An incorrect angle may cut through the target pyramidal neurons.
NOTE: The tools here are: a blade for brain trimming, a filter paper (ϕ = 10 cm), a stainless brain dissection stage (thickness = 3 mm, ϕ = 12 cm), a spatula, a superglue, a dropper, and a mounting stage for the vibratome (ϕ = 5 cm).
Cut 350-µm thick coronal brain slices using a vibratome. Fill the dissection chamber with ice-cold buffer bubbled with a 5% CO₂/95% O₂ gas mixture (Figure 2C). Bubble the buffer continuously during the brain slice.
Trim the periphery of the target area using iris scissors.
Wash the trimmed slices gently in room temperature aCSF bubbled with 5% CO₂/95% O₂(Table 2).
Maintain the trimmed slices in an interface chamber until the recording is performed (Figure 2D and E). Incubation for 1 h in the chamber improves the condition of the cells, but the phenotypes change if the slices are incubated for more than 10 hours. Close the lid of the chamber to enclose the gases and the small liquid drops of aCSF.

8. Whole-cell patch clamp

NOTE: Whole-cell recordings require an amplifier and a low-pass filter that is set to a cutoff frequency of 5 kHz. The signals are digitized and stored in a PC. The stored data are analyzed offline (Figure 3A).

Create glass electrodes using a horizontal puller. Fill the electrodes with a suitable solution (Tables 3 and 4) using a regular polyethylene 1-mL syringe attached to a fine glass tube and a 0.22-µm filter.
Prior to contact with the cell, maintain positive pressure and adjust the pipette current to zero.
After forming a gigaohm seal, apply negative pressure to rupture the cell membrane (whole-cell configuration in Figure 3F).

9. Current-clamp analysis

Properties of the cell membrane
1. Fill the patch recording pipettes with the intracellular solution for current-clamp recordings (Table 3). The resistance of the pipette is between 4 MΩ and 7 MΩ in the aCSF.
2. After the membrane ruptures, hold the membrane voltage at -60 mV in V-CLAMP mode. Then, switch from "bath" mode to "cell" mode in the membrane test using software to measure the intrinsic cell properties such as membrane capacitance, resistance, and time constant.
Current injection study
1. After recording the intrinsic cell properties, switch the mode from V-CLAMP to TRACK (I = 0) /I-CLAMP NORMAL for the current injection. Note that the liquid junction potential should not be corrected¹⁰.
2. Inject current into the cell for 300 ms. Change the intensity of the current stepwise from −100 pA to +550 pA with 50-pA increases. Count the number of spikes (action potentials) elicited by the current injections.
3. Measure the minimum voltage needed to induce an action potential (this is the threshold voltage).
4. Calculate the afterhyperpolarization amplitude as the difference between the voltage at spike initiation and the lowest voltage attained during afterhyperpolarization⁷.

10. Voltage-clamp analysis

The AMPA/NMDA ratio
NOTE: The AMPA/NMDA ratio is a conventional way to evaluate postsynaptic plasticity at glutamatergic excitatory synapses⁷^,⁸^,⁹^,¹⁰^,¹¹. However, note that concomitant increases in both components may not change the ratio¹³.
1. Perfuse the recording chamber with physiological solution bubbled with the gas mixture and maintain the temperature at 22 °C to 25 °C. Add 0.1 mM picrotoxin to the solution to block the GABA_A-mediated response and add 4 µM 2-chloroadenosine to stabilize the evoked neural response¹⁴.
2. Fill the patch recording pipettes with the intracellular solution for voltage-clamp recordings (Table 4). Check the resistance of the recording pipette in the aCSF. The resistance is between 4 MΩ and 7 MΩ.
3. For recording in layer II/III pyramidal neurons in the M1, place a bipolar tungsten stimulating electrode 200 µm to 300 µm lateral to the cells to be recorded, below the pial surface in the region of the forelimb representation (2-mm lateral to the midline)¹⁵^,¹⁶^,¹⁷.
4. For recording in a CA1 pyramidal neuron, place the stimulating electrode 200 µm to 300 µm lateral (Schaffer collateral fiber) or medial (temporoammonic pathway) to the cells that will be recorded (Figure 3B).
5. Increase the stimulus intensity up to the synaptic response > 10 pA.
6. Calculate the AMPA/NMDA ratio as the ratio of the peak current measured at −60 mV to the current measured at +40 mV at 150 msec after the stimulus onset. Note that 50 to 100 traces should be averaged to calculate the ratio.
Miniature postsynaptic current recordings
Note: Miniature excitatory postsynaptic currents (mEPSCs) are thought to correspond to the responses elicited by the presynaptic release of a single vesicle of glutamate¹⁸. In contrast, miniature inhibitory postsynaptic currents (mIPSCs) are thought to correspond to the responses elicited by the presynaptic release of a single vesicle of GABA¹⁸. Increases in the amplitudes of mEPSCs and mIPSCs reflects postsynaptic transmission strengthening, while increases in the event frequency reflect increases in the number of functional synapses or the presynaptic release probability¹¹.
1. Fill the patch recording pipette with modified intracellular solution (Table 4) to adjust the reversal potential of the GABA_A receptor-mediated current to -60 mV.
2. Add 0.5 µM tetrodotoxin to the bath to block spontaneous action potentials.
3. Hold the voltage at -60 mV to record the mEPSC events for 5 min.
4. Change the holding potential to 0 mV to record mIPSC events for 5 min. Because M1 neurons show slightly higher reversal potential for AMPA receptor-mediated currents, the mIPSCs of M1 neurons are recorded at +15 mV with 0.1 mM APV.
5. Wait for a few minutes for the current to stabilize.
6. Record the mIPSC events for 5 min.
7. Detect the miniature events using the software, and use events above 10 pA for the analysis. Count the number of mEPSCs or mIPSCs events for 5 min to determine the frequency. Average the amplitudes of the events to obtain the mean amplitude.
8. Confirm whether bath treatment with 10 µM CNQX or with 10 µM bicuculline methiodide blocks the mEPSCs and mIPSCs events, respectively.
Paired-pulse analysis
NOTE: Presynaptic plasticity can be analyzed using paired-pulse analysis. An increase in the paired-pulse rate suggests a decrease in the presynaptic glutamate or GABA release probability⁷^,¹⁰^,¹¹.
1. To analyze excitatory synapses, add 0.1 mM picrotoxin and record the response at -60 mV. Although we added 4 µM 2-chloroadenosine to the bath, we need to keep in mind that the drug affects the presynaptic release probability¹⁴ .
2. To analyze inhibitory synapses, add 0.1 mM APV and 4 µM 2-chloroadenosine to the bath and record the response at 0 mV. In M1 neurons, record the response at +15 mV.
3. Apply paired pulses with an inter-stimulus interval of 100 ms or 200 ms.
4. Record 50-100 sequential traces at each holding potential and average the values.
5. Calculate the paired pulse ratio as the ratio of the second peak to the first peak of the postsynaptic current.

Representative Results

As we described recently⁷, rotor rod training (Figure 1A) induced dynamic changes in the intrinsic plasticity of the M1 layer II/III pyramidal neurons. Measuring the latency until the rats fall from the rotating rod allows us to estimate the skilled learning performance of the rat. Longer latency indicates better motor performance. On the day 1 of training, the rats improved their rotor rod performance until the trial ended. On day 2, the rats attained nearly asymptotic levels in the averaged session scores (Figure 1B). Compared with the latency at the first trial, post-hoc analysis showed significant improvements at the final trials on the training days (Figure 1C).

Figure 4A shows an example of current-clamp analysis in which the neuronal properties changed after motor skill learning. Injections of 400 pA and 500 pA currents were needed to induce action potentials in the untrained group and in the 1-day trained rats, respectively. In contrast, injection of only a 150 pA current was sufficient to elicit action potentials in the 2-day trained rats. The relationship between the current intensity and the number of action potentials is shown in Figure 4B. As little as 50 pA current was sufficient to elicit spikes in 2-day trained rats; in contrast, 1-day trained rats responded with fewer action potentials than untrained rats to 350 pA and higher currents. Moreover, Figure 4C shows that 1-day trained rats showed lower resting potential, higher spike threshold, and deeper afterhyperpolarization, whereas 2-day trained rats showed higher resting potential (Figure 4C) and membrane resistance (Figure 4D).

As we described previously¹¹, IA training (Figure 1D) induced postsynaptic plasticity at excitatory and inhibitory synapses of the hippocampal CA1 neurons. By measuring the latency in the light box, we could estimate the contextual learning performance of the rat. Figure 1E shows the results of the IA task. After the paired electric shock, the rats learn to avoid the dark side of the box and stay in the lighted side, which usually they would not prefer. The tendency to avoid the dark side therefore indicates the acquisition of contextual memories.

Figure 5 shows an example of voltage-clamp analysis in which miniature postsynaptic currents were dramatically changed after contextual learning. To investigate learning-induced plasticity, spontaneous AMPA-mediated mEPSCs and GABA_A-mediated mIPSCs were sequentially recorded in the presence of 0.5 µM tetrodotoxin (Figure 5A and B). As shown on two-dimensional plots (Figure 5C), each CA1 neuron had different mean amplitudes for mEPSCs and mIPSCs. Although the amplitudes were low and showed a narrow distribution range in untrained, unpaired, and walk-through rats, those were diverse in IA-trained rats (Table 5). ANOVA followed by post-hoc analysis showed a significant increase in the mean amplitudes of mEPSC and mIPSC in IA-trained rats (Figure 5E), suggesting learning-induced postsynaptic plasticity in the CA1 neurons.

Moreover, each CA1 neuron exhibited different mEPSC and mIPSC frequencies (Figure 5D). Although the frequencies were low and showed a narrow distribution range in untrained, unpaired, and walk-through rats, those were diverse in IA-trained rats (Table 6). ANOVA followed by post-hoc analysis showed a significant increase in the frequencies of the mEPSC and mIPSC events in IA-trained rats (Figure 5F). There are two possible interpretations of these results. The first is that contextual learning increased the number of functional synapses of the neurons. The other is that contextual learning increased the presynaptic release probability of glutamate and GABA.

To further examine presynaptic plasticity, we also conducted paired-pulse stimulations, as reported previously¹⁰^,¹¹.

Figure 1: Learning performance after training.
A: The experimental design shows the rotor rod training and coronal brain slice. B: The mean latency to fall from the accelerating rotor rod barrel. C: The mean latency to fall off of the rod on the first and the final trials on training days 1 and 2⁷. **P<0.01 vs. first trial. D: Schema of the inhibitory avoidance (IA) task and coronal brain slice. E: The mean latency to enter the dark box before and after IA training¹¹. **P<0.01 vs. before IA training. The numbers by the coronal sections indicate the distance anterior to the bregma in mm. The number of animals is shown at the bottom of the bars. Error bars indicate SEM. Please click here to view a larger version of this figure.

Figure 2: Slice procedures.
A: Photographs show the preparation of acute brain slices. The dissection tools were cooled in crushed ice prior to use. B: Brain dissection and trimming. Note that the angle of trimming on the posterior side must be oriented in parallel with the dendritic orientation. C: Slicing the brain in a vibratome chamber. The brain is bathed in dissection buffer and bubbled continuously with a 5% CO₂/95% O₂ gas mixture. D: An interface chamber made of two plastic food containers and a silicone tube. The chamber was filled with artificial CSF and bubbled continuously with the gas mixture. E: Brain slices were placed on wet filter paper in the chamber. Bar = 5 mm. Please click here to view a larger version of this figure.

Figure 3: Patch clamp procedures.
A: The patch-clamp system used to record electrical signals from a neuron. The location of the stimulating and recording electrodes in the layer II/III neurons are shown in the rat motor cortex. B: To analyze the Schaffer synapses of a CA1 pyramidal neuron, a stimulating electrode was placed at the stratum radiatum. To analyze temporoammonic synapses, a stimulating electrode was placed at the stratum moleculare. Representative traces of evoked AMPA and NMDA receptor-mediated excitatory postsynaptic currents in the same CA1 neuron are shown. C: A slice anchor was used to stabilize the slice in the recording chamber. D: A representation map in the motor cortex, based on the published papers¹⁵^,¹⁶^,¹⁷. ML = midline. E: IR-DIC micrographs of M1 layer II/III neurons before (upper) and during the recording (lower). Bar = 10 µm. F: Changes in the pipette current before touch (top) and at membrane rupture (bottom). Please click here to view a larger version of this figure.

Figure 4: Representative results of current-clamp analysis⁷.
A: Representative traces of action potentials recorded after induction with current injections. B: Relationships between the mean current input (pA) vs. action potential output (number of spikes) in brain slices from untrained (open bars), 1-day trained (gray bars), and 2-day trained rats (filled bars). C: Resting potential, threshold, and afterhyperpolarization of the layer II/III neurons. D: Membrane resistance and series resistance of the neurons. We used 9 – 10 rats in each group. The number of cells is shown within each bar. Error bars indicate the SEM. *P<0.05, **P<0.01 vs. untrained. Please click here to view a larger version of this figure.

Figure 5: Representative results of the voltage-clamp analysis¹¹.
Representative traces of miniature excitatory and inhibitory postsynaptic currents (mEPSCs and mIPSCs) in untrained (A) and inhibitory avoidance (IA)-trained rats (B). mEPSCs at -60 mV and mIPSCs at 0 mV were measured sequentially in the same CA1 pyramidal neuron in the presence of tetrodotoxin (0.5 µM). Vertical bar = 20 pA, horizontal bar = 200 msec. C: Two-dimensional plots of the mean mE(I)PSC amplitudes in untrained, IA-trained, unpaired, and walk-through rats. D: Two-dimensional plots of the mE(I)PSC frequencies in the 4 groups. Note that each CA1 neuron exhibited different mean mE(I)PSC amplitudes and frequencies. IA training not only strengthened the mean amplitudes (E) but also increased the frequencies of the mE(I)PSC events (F). We used 4 – 6 rats in each group. The number of cells is shown at the bottom of the bars. Red plus signs (C, D) and bars with vertical lines (E, F) indicate the mean ± SEM. **P<0.01 vs. untrained rats. Please click here to view a larger version of this figure.

Dissection buffer (Total 1L)
NaH₂PO₄ • 2H₂O	0.195 g	1.25 mmol/L
KCl	0.188 g	2.5 mmol/L
CaCl₂	0.074 g	0.5 mmol/L
MgCl₂ • 6H₂O	1.423 g	7.0 mmol/L
Choline chloride	12.579 g	90 mmol/L
Ascorbic acid	2.340 g	11.6 mmol/L
Pyruvic acid	0.342 g	3.1 mmol/L
NaHCO₃	2.100 g	25 mmol/L
Glucose	4.500 g	25 mmol/L

Table 1: A recipe for dissection buffer

Artificial CSF (Total 1L)
KCl	0.186 g	2.5 mmol/L
NaCl	6.700 g	114.6 mmol/L
NaH₂PO4 •2H₂O	0.156 g	1 mmol/L
Glucose	1.800 g	10 mmol/L
NaHCO₃	2.184 g	26 mmol/L
1M MgCl₂	4 mL	4 mmol/L
1M CaCl₂	4 mL	4 mmol/L

Table 2: A recipe for artificial cerebrospinal fluid (CSF)

Intracellular solution for current clamp (Total 200 mL)
KCl	0.0746 g	5 mmol/L
K-Gluconate	6.089 g	130 mmol/L
HEPES	0.476 g	10 mmol/L
EGTA	0.0456 g	0.6 mmol/L
1M MgCl₂	500 µL	2.5 mmol/L
Na₂ ATP	0.4408 g	4 mmol/L
Na₃ GTP	0.0418 g	0.4 mmol/L
Na phosphocreatine	0.510 g	10 mmol/L

Table 3: A recipe for an intracellular solution for current clamp recording

Intracellular solution for voltage clamp (Total 200 mL)
CsMeSO₃	5.244 g	(5.814)^*	115 mmol/L	(127.5)^*
CsCl	0.672 g	(0.252)^*	20 mmol/L	(7.5)^*
HEPES	0.476 g		10 mmol/L
EGTA	0.0456 g		0.6 mmol/L
1M MgCl₂	500 µL		2.5 mmol/L
Na₂ ATP	0.4408 g		4 mmol/L
Na₃ GTP	0.0418 g		0.4 mmol/L
Na phosphocreatine	0.510 g		10 mmol/L
* low Cl^– concentration for miniature recordings

Table 4: A recipe for an intracellular solution for voltage clamp recording

Parameters		untrained	IA trained	unpaired	walk through
mEPSC amplitude	Variance	5.8	32.1	4.7	5.9
	Standard deviation	2.4	5.7	2.2	2.4
	Coefficient of variation	0.189	0.326	0.177	0.190
mIPSC amplitude	Variance	17.1	56.7	31.8	20.7
	Standard deviation	4.1	7.5	5.6	4.5
	Coefficient of variation	0.279	0.387	0.367	0.286

Table 5: The diversity of miniature excitatory and inhibitory postsynaptic current (mEPSC and mIPSC) amplitudes in inhibitory avoidance (IA)-trained rats

Parameters		untrained	IA trained	unpaired	walk through
mEPSC frequency	Variance	278	2195	188	195
	Standard deviation	17	47	14	14
	Coefficient of variation	0.902	1.198	0.893	0.874
mIPSC frequency	Variance	3282	27212	1385	5135
	Standard deviation	57	165	37	72
	Coefficient of variation	1.195	1.006	0.955	0.836

Table 6: The diversity of miniature excitatory and inhibitory postsynaptic current (mEPSC and mIPSC) frequencies in inhibitory avoidance (IA)-trained rats

Discussion

The major limitation of the slice patch clamp technique is the recording in slice preparation, which may not reflect what happens in vivo. Although in vivo current-clamp analysis is more reliable, it is technically challenging to get sufficient data from conscious animals. Since each pyramidal neuron has different cellular properties, an adequate number of cells is needed to properly analyze differences in neurons after training. Moreover, voltage-clamp analysis requires continuous drug treatment with CNQX, APV, or bicuculline to determine the nature of the postsynaptic responses. To analyze the miniature responses induced by a single vesicle of glutamate or GABA, continuous treatment with tetrodotoxin is needed to block spontaneous action potentials. Although the recently developed multi-photon imaging technique is powerful for analyzing morphological changes at excitatory synapses¹⁹, a combined patch clamp technique is needed to analyze the function of synapses in vivo. It is currently quite difficult to analyze morphological changes at inhibitory synapses, since most inhibitory synapses do not form spines. At this time, the slice patch clamp would be the most suitable technique to analyze cell properties or the functions of excitatory/inhibitory synapses in trained animals.

Using current-clamp analysis (Figure 4), we recently reported motor learning-induced intrinsic plasticity in layer II/III neurons. Specifically, the 1-day trained rats showed a significant decrease in resting membrane potential and an increase in the spike threshold. The 2-day trained rats showed a significant increase in resting membrane potential that led to increased excitability. These results suggested that there were dynamic changes in the intrinsic plasticity of M1 layer II/III neurons in trained rats. Additional voltage-clamp analysis revealed an increase in the paired-pulse ratio in 1-day trained rats, suggesting that there was a transient decrease in the presynaptic GABA release probability⁷. It is therefore possible that disinhibition from GABA at the layer II/III synapses might trigger the resulting learning-induced plasticity in the M1. In support of this, slice preparation of the M1 requires bath treatment with a GABA_A receptor blocker to induce LTP²⁰.

Analysis of miniature postsynaptic potentials is a powerful way to detect synaptic plasticity in IA-trained animals. Sequential recording of mEPSCs and mIPSCs in a single CA1 neuron allows the analysis of the synaptic excitatory/inhibitory strength of each individual neuron. Since a single mE(I)PSC response is attributed to a single vesicle of glutamate or GABA, an increase in the mE(I)PSC amplitude suggests postsynaptic strengthening. Using mE(I)PSC analysis, we found individual differences in the strength of excitatory/inhibitory input into each CA1 neuron (Figure 5C). IA training clearly promoted diversity in synaptic strength, but this was not observed in other groups (Table 5).

Learning-induced synaptic diversity can be analyzed mathematically. By calculating the appearance probability of each point, data from each neuron can be converted to self-entropy (bit) using the information theory of Claude E. Shannon²¹. A point with high appearance probability (around the mean level) indicates low self-entropy, while a point with very rare probability (a deviated point) indicates high self-entropy. Compared with untrained rats, the self-entropy per neuron was clearly increased in IA-trained rats but not in unpaired or walk-through rats²². This analysis suggests that there was an increase in intra-CA1 information after the contextual learning.

The slice patch clamp technique can also be used for cued fear conditioning studies in the lateral amygdala⁹ and for sensory experience studies in the barrel cortex⁸. Moreover, this technique can be used with various other techniques for further investigations. For instance, the virus-mediated green fluorescent protein (GFP)-tagged gene delivery technique can be combined with the patch clamp technique to analyze the function of specific molecules. In addition, focal microinjection of a retrograde tracer can be used to visualize specific neurons that project to a specific area. Then, using the current-clamp technique, cell-specific properties can be analyzed in the visualized neurons²³. Further, combining two-photon laser-scanning microscopy with two-photon laser uncaging of glutamate has been used to demonstrate spine-specific growth and the EPSC response in mouse cortical layer II/III pyramidal neurons¹⁹. Thus, the slice patch clamp technique is being improved by combining it with novel chemicals, gene delivery, and photo manipulation techniques.

Offenlegungen

The authors have nothing to disclose.

Acknowledgements

We would like to thank Dr. Paw-Min-Thein-Oo, Dr. Han-Thiri-Zin, and Mrs. H. Tsurutani for their technical assistance. This project was supported by Grants-in-Aid for Young Scientists (H.K. and Y.S.), Scientific Research B (D.M.), Scientific Research C (D.M.), and Scientific Research in Innovative Areas (D.M.), from the Ministry of Education, Culture, Sports, Science, and Technology of Japan.

Materials

Rota-Rod Treadmills	Med Associates Inc.	ENV577
inhibitory avoidance box	Shinano Seisakusho
Pentobarbital	Kyoritsu Seiyaku
Blade	Nisshin EM Co., Ltd	LC05Z
Cardiac perfusion syringe	JMS Co., Ltd	JS-S00S
Vibratome	Leica Microsystems	VT-1200
Horizontal puller	Sutter Instrument	Model P97
Microfilm 34 gauge	World Precision Instruments, Inc	MF34G-5
0.22 µm filter	Millipore	SLGVR04NL
Axopatch–1D amplifier	Axon Instruments
Digidata 1440 AD board	Axon Instruments
pCLAMP 10 software	Axon Instruments
Upright Microscope	Olympus	BX51WI
CCD camera	Olympus	U-CMAD3
Camera controller	Hamamatsu Photonics K.K.	C2741
Stimulator	Nihon Kohden	SEN-3301
Isolator	Nihon Kohden	SS-104J
Motorized manipulator	Sutter Instrument	MP-285
Micromanipulator	Narishige	NMN-21
Peristaltic Pump	Gilson, Inc	MINIPULS® 3
Glass capillary	Narishige	GD-1.5
Ag/AgCl electrode	World Precision Instruments, Inc	EP4
Slice Anchor	Warner instruments	64-0252
Stimulus electrode	Unique Medical Co., Ltd	KU201-025B
Materials	Company	Catalog Number	Comments
Dissection buffer/ artificial CSF
NaH₂PO₄ • 2H₂O	Sigma-Aldrich Co.	C1426
KCl	Wako Pure Chemical Industries	163-03545
CaCl₂	Wako Pure Chemical Industries	039-00475
MgCl₂ • 6H₂O	Wako Pure Chemical Industries	135-00165
Choline chloride	Sigma-Aldrich Co.	C7527
Ascorbic acid	Wako Pure Chemical Industries	190-01255
Pyruvic acid Na	Wako Pure Chemical Industries	199-03062
NaHCO₃	Sigma-Aldrich Co.	28-1850-5
Glucose	Sigma-Aldrich Co.	07-0680-5
Materials	Company	Catalog Number	Comments
Intracellular solution
K-Gluconate	Sigma-Aldrich Co.	G4500
HEPES	Wako Pure Chemical Industries	346-01373
EGTA	Wako Pure Chemical Industries	348-01311
Na₂ ATP	Nacalai Tesque	01072-24
Na₃ GTP	Sigma-Aldrich Co.	G-8877
Na phosphocreatine	Sigma-Aldrich Co.	P-7936
CsMeSO₃	Sigma-Aldrich Co.	C1426
CsCl	Wako Pure Chemical Industries	033-01953
Materials	Company	Catalog Number	Comments
Drugs in aCSF
2-Chloroadenosine	Sigma-Aldrich Co.	C5134
Picrotoxin	Sigma-Aldrich Co.	P-1675
Tetrodotoxin	Wako Pure Chemical Industries	207-15901
CNQX	Sigma-Aldrich Co.	C239
APV	Sigma-Aldrich Co.	A5282

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Kida, H., Sakimoto, Y., Mitsushima, D. Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity. J. Vis. Exp. (129), e55876, doi:10.3791/55876 (2017).