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Journal of Virology, August 2007, p. 8833-8837, Vol. 81, No. 16
0022-538X/07/$08.00+0 doi:10.1128/JVI.00612-07
Copyright © 2007, American Society for Microbiology. All Rights Reserved.

Christine M. A. Prat,1,2
Gwendal Le Masson,3
André Garenne,3,
and
Daniel Gonzalez-Dunia1,2*,
INSERM, U563, Centre de Physiopathologie de Toulouse Purpan, Toulouse, France,1 Université Paul-Sabatier, Toulouse, France,2 INSERM, U862, and Université Bordeaux 2, Bordeaux, France3
Received 22 March 2007/ Accepted 24 May 2007
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As a first step to test this hypothesis, we recently showed that BDV specifically interferes with the activity-dependent enhancement of synaptic vesicle recycling, one component of neuronal communication (25). To gain further insight into the consequences of BDV infection on synaptic transmission, electrophysiological recordings of BDV-infected neurons were needed. Since synaptic plasticity is not a static event and is subjected to activity-dependent modulation (18), a real-time analysis of the firing pattern of live BDV-infected neurons would be very informative. However, these studies require intense handling of the neurons and are especially difficult to set up with infected neurons due to biosafety issues. To overcome this difficulty, we took advantage of the recently developed multielectrode arrays (MEA) from Multi Channel Systems (Reutlingen, Germany) (3). MEA consist of a grid of 60 planar electrodes embedded in a culture dish and concentrated on a 1-mm2 square (Fig. 1A and B). As neurons grow directly in the recording chamber, the electrical activity pattern of neurons can be easily stimulated and recorded for a prolonged time. In addition, MEA can be sealed under sterile conditions to avoid any direct contact between the experimenter and the cultures infected with BDV.
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FIG. 1. Use of MEA for analysis of the electrophysiological properties of cortical neurons infected with BDV. (A) View of an MEA culture dish. (B) Cortical neurons cultured in an MEA dish. Electrodes are spaced 200 µm apart; the electrode diameter is 30 µm. Inset, an enlarged view of neurons in contact with an electrode. (C) Representative example of a simultaneous recording of the electrical activity from the 60 electrodes of the MEA. (D) Magnification of one electrode channel. The horizontal bar represents the threshold calculated for spike detection. Each asterisk corresponds to a single spike. Three or more spikes occurring in less than 100 ms are considered a burst.
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Signals corresponding to the electrical activity from the 60 electrodes of the MEA were recorded using MC Rack software (Multi Channel Systems, Reutlingen, Germany) for online visualization and raw data storage (Fig. 1C). Typically, the signal corresponding to the firing of a single action potential by a neuron in the vicinity of an electrode is revealed by a single spike (Fig. 1D). We also detected series of high-frequency spikes, known as bursts, which represent an important parameter of the analysis of neuronal network activity (20). Spikes and bursts were detected by software developed in-house which computes the signal obtained from the electrodes, calculates a threshold, and detects a spike every time the signal crosses this threshold with a negative slope (Fig. 1D). The threshold was set to 4 standard deviations of the average noise amplitude computed for the whole recording and applied using the average value of the signal as a baseline (14). Bursts were defined as sequences of at least three spikes occurring in less than 100 ms (Fig. 1D).
In order to test for the consequences of BDV infection on neuronal communication, we first studied the spontaneous (i.e., nonstimulated) electrical activity, which is a good indicator of the state of the neuronal network (24). Under these conditions, the activity of the network was characterized by a majority of spikes randomly distributed on the electrodes and by very few bursts (Fig. 2). There was no noticeable difference between control and BDV-infected neurons regarding spike and burst frequencies. Next, we stimulated the neurons for 15 min with 50 µM bicuculline (bicuculline methiodide; Tocris Bioscience, Bristol, United Kingdom), a gamma-aminobutyric acid A receptor antagonist. Treatment with this antagonist leads to the removal of the tonic inhibition imposed by gamma-aminobutyric acid-stimulating interneurons on the network. It has been shown that this removal results in an increase in synaptic efficacy at excitatory synapses (2). This increase is associated with changes in network activity, from uncoordinated firing of neurons to a highly organized, periodic, and synchronous burst pattern over the whole neuronal network. Indeed, we observed that the treatment with bicuculline induced an increase in spike frequency and the appearance of a synchronous burst activity, with an interburst interval of between 2 and 5 s (Fig. 2). Here again, there were no differences between the results with control and BDV-infected neurons. Quantitative analysis of spike (Fig. 3A) and burst (Fig. 3B) frequencies from at least four independent experiments showed that under spontaneous conditions and during bicuculline stimulation, control and BDV-infected neurons behaved the same way. Together, these results show that although BDV replicates actively in neurons, it has no impact on spontaneous neuronal activity or on the ability of the neurons to modulate synaptic transmission during stimulation.
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FIG. 2. Representative examples of MEA recordings from noninfected (NI) and BDV-infected neurons before, during, and 1 h after bicuculline (bic.) treatment. For each experimental condition, a 15-s-long portion of the recording is shown (total recording, 180 s). For both the NI and BDV-infected neuron results, a signal from a representative electrode is shown on the left. On the right, a raster plot depicts the signal obtained from the 60 electrodes: each line corresponds to an electrode, and each dot represents a spike. Note that bursts of action potential are induced by bicuculline exposure and occur synchronously. This high level of synchronous activity is maintained only in NI neurons following bicuculline washout.
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FIG. 3. BDV blocks the activity-induced enhancement of neuronal network activity. Quantitative analysis of mean spike frequency (A) and mean burst frequency (B) for noninfected (NI) and BDV-infected neurons is shown. Values are expressed as means ± standard errors of the means. Data were acquired from 240 electrodes from at least four independent experiments; analysis was done using the whole recording for each experimental condition. ***, P < 0.001, using an unpaired, two-tailed Student's t test. spont., spontaneous; bic., bicuculline.
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Signaling by extracellular signal-regulated kinase (ERK)1/2 has been shown to be essential for the development of a long-lasting increase in neuronal network activity, in particular following exposure to bicuculline (2). We therefore tested whether impaired ERK1/2 signaling could play a role in the blockade of the induction of the recurrent synchronous burst activity observed in BDV-infected neurons. Cortical neurons cultured in 35-mm plastic dishes were stimulated for 15 min with bicuculline by using the same protocol used for MEA recordings. Neurons were then rapidly lysed in cold lysis buffer and processed for Western blot analysis according to previously described procedures (25). We observed the same phosphorylation levels of ERK1/2 in control and BDV-infected neurons following bicuculline exposure (Fig. 4A). This suggests that a signaling pathway other than ERK1/2 is likely involved in the BDV-induced blockade of activity-induced enhancement of neuronal network activity. Protein kinase C (PKC) has been reported to be important for the induction of multiple forms of synaptic plasticity (1), and we previously showed that BDV interferes with PKC signaling (25). We therefore analyzed PKC-dependent signaling following exposure to bicuculline by measuring the phosphorylation of myristoylated alanine-rich C kinase substrate (MARCKS), a major PKC substrate in neurons (19). In agreement with our previous results (24), we observed lower levels of bicuculline-induced MARCKS phosphorylation in BDV-infected neurons than in control neurons (Fig. 4B). In addition, a strong inhibition of network activity was observed in control neurons following treatment with a cell-permeable specific PKC peptidic inhibitor (PKC inhibitor 20-28; Calbiochem, VWR, Fontenay-sous-Bois, France) used at 4 µM (data not shown), suggesting that the inhibition of PKC signaling indeed leads to altered neuronal network properties. Altogether, these results suggest that BDV interference with PKC signaling may be involved in the blockade of activity-dependent enhancement of neuronal network activity.
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FIG. 4. PKC signaling is impaired in cortical neurons infected with BDV. Neuronal extracts from noninfected (NI) and BDV-infected neurons stimulated with bicuculline (bic.) were analyzed by Western blotting with specific antibodies for disphosphorylated ERK1/2 (pERK) (A) and phospho-MARCKS (pMARCKS; PKC site at Ser152/156) (B). Total ERK1/2 and ß-tubulin were used to normalize expression. Blots are representative of three independent experiments. Quantification results are expressed as the percentage increase over levels produced by unstimulated neurons. Values are expressed as means ± standard errors of the means. P values (paired Student's t test) are indicated. spont., spontaneous.
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We thank A. Saoudi, R. Liblau, E. Suberbielle, and C. Duval for critical reading of the manuscript and insightful comments.
Published ahead of print on 6 June 2007. ![]()
Present address: UMR1225, INRA, École Nationale Vétérinaire de Toulouse, France. ![]()
A.G. and D.G.-D. codirected this work. ![]()
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