Abstract
Dendritic atrophy, defined as the reduction in complexity of the neuronal arborization, is a hallmark of several neurodevelopmental disorders, including Rett Syndrome (RTT). RTT, affecting 1:10,000 girls worldwide, is mainly caused by mutations in the MECP2 gene and has no cure. We describe here an in vitro model of dendritic atrophy in Mecp2−/y mouse hippocampal primary cultures, suitable for phenotypic drug-screening. Using High-Content Imaging techniques, we systematically investigated the impact of culturing determinants on several parameters such as neuronal survival, total dendritic length, dendritic endpoints, soma size, cell clusterization, spontaneous activity. Determinants included cell-seeding density, glass or polystyrene substrates, coating with poly-Ornithine with/without Matrigel and miniaturization from 24 to 96-half surface multiwell plates. We show that in all plate-sizes at densities below 320 cells/mm2, morphological parameters remained constant while spontaneous network activity decreased according to the cell-density. Mecp2−/y neurons cultured at 160 cells/mm2 density in 96 multiwell plates, displayed significant dendritic atrophy and showed a marked increase in dendritic length following treatment with Brain-derived neurotrophic factor (BDNF) or Mirtazapine. In conclusion, we have established a phenotypic assay suitable for fast screening of hundreds of compounds, which may be extended to other neurodevelopmental diseases with dendritic atrophy.
Subject terms: Cellular neuroscience, Autism spectrum disorders
Introduction
Dendritic atrophy, defined as the reduction in branching complexity of neuronal dendritic processes, is a typical hallmark of several neurodevelopmental disorders1–4. With an incidence of 1:10,000 newborn girls, Rett syndrome (RTT) is one of the most common neurodevelopmental diseases with mental retardation in females5. In 90–95% of cases, the disease is caused by sporadic mutations in the MECP2 gene6. RTT is characterized by a period of early normal development followed by a regression phase, leading to loss of speech and acquired motor skills, presence of stereotypical hand movements, seizures and microcephaly6. Presently, there is no cure for Rett syndrome.
Due to microcephaly, the brains of RTT patients show more closely packed neurons7 and reduced dendritic complexity has been described in cerebral cortex, hypothalamus and hippocampus8–10. The dendritic atrophy observed in the cortex of RTT patients has been related to dysfunctions of neural networks and intellectual disability9, similarly to other neurodevelopmental disorders such as Fragile-X syndrome and Down syndrome1,7. Accordingly, modelling dendritic atrophy for these diseases is extremely important.
Notably, in mouse models for Rett syndrome, reduced brain dimensions and dendritic atrophy has been found in the same brain regions as in humans11,12. We previously showed that in vivo treatment of Mecp2−/y mice with the antidepressant Mirtazapine was able to rescue cortical thickness, neuronal soma area and apical dendrites diameter counteracting breathing abnormalities and restoring normal anxiety behavior13. However, Mirtazapine was unable to fully rescue the phenotype observed in this animal model of RTT, thus prompting the question if there would be other drugs, already approved for human usage, that could be repurposed for treating this syndrome. We previously investigated the development of wild type (WT) and Mecp2−/y hippocampal neurons in cultures in 24 multiwell (MW) plates from days in vitro (DIV) 1 to DIV 15, demonstrating that RTT neurons showed a deficit in neuronal development between DIV 6–15. In particular, Mecp2−/y hippocampal neurons displayed reduced total dendritic length (TDL) and lower complexity of secondary or higher order dendrites, peaking at DIV 1214. However, neuronal cultures grown in 24 MW plates are unsuitable as drug screening assay to test a large library of compounds.
In this study, we aimed to develop an in vitro model of dendritic atrophy in Mecp2−/y mouse hippocampal primary cultures, suitable as a phenotypic drug screening assay. To reach this goal, we used High Content Imaging techniques for automating the process and we systematically investigated how different culture conditions affect morphological and functional parameters within the cultures.
Results
In order to establish a phenotypic drug screening assay specific for the Rett syndrome, we exploited an in vitro model previously established in our laboratory14. This model was originally developed using hippocampal neurons seeded at 640 cells/mm2 on 13 mm diameter glass coverslips, coated with poly-L-Ornithine and Matrigel14. In these conditions, the hippocampi explanted bilaterally from one P0–P1 mouse were sufficient to generate cultures in 6 wells of a 24 Multiwell (MW) plate. In order to obtain culture conditions suitable for a drug screening, we evaluated the possibility to miniaturize the cultures to both reduce the number of animals needed and increase the number of compounds that could be tested using a single animal. Accordingly, we carried out a systematic analysis of culture conditions to define the most appropriate method. To describe neuronal morphology, we evaluated three main parameters, 1) the Average Total Dendritic length (TDL) given by the sum of the length of the entire dendritic arborization of a neuron; 2) the Number of Endpoints consisting in the number of terminal points counted at the end of visible dendrites labeled by anti-MAP2 immunofluorescence. The latter parameter, in particular, represents an index of dendritic arborization complexity and recapitulates the number of terminal branchings of a neuron. Finally, 3) the Soma Area, which is the average of the area of the soma of each neuron expressed in µm2.
Effect of substrate materials and cell-seeding density
Since previous studies found that dendritic development is affected by culture conditions15–18 we investigated the effect of different culture substrates and cell density on neuronal morphology. Cultures were analyzed at DIV 12, corresponding to the time point at which Mecp2−/y (MeCP2-KO) neurons display the highest morphological deficit with respect to wild type (WT) neurons14. Experiments in this first part of the study were carried out with WT mice only, to reduce the number of suffering animals used in this study. To investigate the influence of the substrate on neuronal morphology, hippocampal cells were plated at the cellular density of 640, 320, 160, 80 or 40 cells/mm2 in 24-well plates either on glass coverslips as in Baj et al. 2014 (Fig. 1A, top row) or directly on polystyrene (Fig. 1A, bottom row). At DIV 12, we performed a morphological analysis aimed at quantifying the number of neurons/mm2, the percentage of neurons over total cells, the average TDL, the number of endpoints and the soma area per neuron. As expected, reducing the number of seeded cells led to a reduction in the number of neurons on both substrates (Fig. 1B). Nevertheless, the percentage of neurons over total cells (Fig. 1C) remained constant at cell densities below 320 cells/mm2. In high density-cultures (640 cells/mm2), the number of neurons over total cells on glass was significantly higher than on polystyrene. The average TDL per neuron, represented in Fig. 1D, resulted to be a very constant parameter at all cell densities on polystyrene, although at 640 cells/mm2, neurons on glass coverslips presented a significantly shorter TDL than on polystyrene. The number of endpoints was constant at all cell densities for each substrate (Fig. 1E), but was significantly higher for neurons plated on polystyrene. The soma area was constant (200–300 µm2) across the different cell densities and substrates (Fig. 1F). In conclusion, at 640 cells/mm2 we found higher cell and neuron survival, but lower TDL on glass with respect to polystyrene, while at cell densities below 320 cells/mm2 the percentage of neurons/total cells, TDL, endpoints and soma size remained substantially unchanged, with a slightly higher variability at 40 cells/mm2, which led us to exclude this cell density from further experiments. Of note, changing the seeding substrate in 24 MW plates from glass to polystyrene, led to higher values of endpoints (Fig. 1E). This finding was likely caused by an artifact due to the thick plastic 24 MW plates which presented a much higher “background intensity” that was not found in other types of multiwell plates, as further discussed in the subsequent section “Effect of different well size”. In addition, we show that it is possible to use a polystyrene substrate without glass coverslip.
Effect of different coating protocols
Matrigel, in combination with poly-Ornithine or poly-Lysine, is usually employed as substrate for cell adhesion. In the next experiments, we evaluated the possibility to simplify the coating protocol, in particular on removing Matrigel, a substance that mimics the extracellular compartment, made of proteins extracted from the Engelbreth-Holm-Swarm (EHS) mouse sarcoma. Cells were seeded on polystyrene 24-well plates at different cell densities and wells were coated with Matrigel and poly-L-Ornithine (Fig. 2A, top row) or with poly-L-Ornithine, only (Fig. 2A, bottom row). We observed no differences in the number of neurons/mm2 on the two different coatings at each cell-seeding density, nor in the ratio of neurons over total viable cells. However, at the density of 640 cells/mm2 the number of neurons over total cells was smaller than at the other cell densities, most likely due to an overgrowth of glial cells. We also found no changes in morphological parameters, therefore we concluded that the elimination of Matrigel from the coating protocol does not affect neuronal morphology and attachment to the substrate.
Effect of different well size
We then examined the neuronal morphology following miniaturization of the cultures from 24-well plates to 96 and 96 half-surface well plates (Fig. 3A). We seeded cells on poly-L-Ornithine at the previously used cell densities and we investigated the same morphological parameters. The number of neurons/mm2 was comparable among the same cell densities in the different types of plates, with the exception of the 640 cells/mm2 at which there was a significant difference between 24-well plates and 96 half-surface well plates with higher number of neurons/mm2 in 96 half-surface well-plates (Fig. 3B). The analysis of the percentage of neurons/total number of cells provided a more complex picture (Fig. 3C). On 24 MW polystyrene plates, at 640 cells/mm2 the percentage of neurons was significantly smaller than at other cell densities and increased progressively at lower cell densities. In contrast, on 96 MW plates, at 640 cells/mm2 the percentage of neurons was higher and decreased progressively at lower cell densities, while on 96-half-surface plates there was no significant difference among the different cell densities (Fig. 3C). The average TDL measured presented a comparable trend between 24, 96 and 96-half surface well plates, in particular at the density of 160 cells/mm2, at which all plate types showed a very similar mean TDL (Fig. 3D). The only significant difference was observed at 640 cells/mm2, at which the TDL measured in 24 well plates was significantly higher than in 96 and 96-half surface well plates.
The number of endpoints, as described in Fig. 1, was not influenced by the different cell densities within each types of plates (Fig. 3 panel E). However, when comparing TDL values between the different plate types, we found that 96 MW and 96 MW half-surface-well plates showed a very similar TDL, with values consistent with the original model established on glass coverslips in 24 well plates (compare with Fig. 1). On the contrary, neurons plated on polystyrene 24 well plates had significantly higher TDL with respect to 96 and 96 half-surface well plates, at all cell densities. Thus, the endpoints measure appears to be not reliable on 24 well plates, resulting in a significant difference between this type of plates and the 96 and 96 half-surface plates. This finding suggests that the endpoints measure on 24 polystyrene plates could be an artifact that is absent in 96 and 96 half-surface plates. Soma area was not affected by the different well size and the different densities of seeded cells (Fig. 3F). Although we found a higher variability of the TDL measurements in 24 well plates with respect to 96 and 96 half-surface plates, we found that the three types of plates induced a similar neuronal growth. In conclusion, miniaturization of the culture does not affect neuronal morphology and the number of neurons present in the cultures plated at cell densities below 640 cells/mm2.
Glial contribution to neuronal morphology
Once chosen the most suitable plate format for a drug screening (i.e. 96 MW), we evaluated the contribution of glial cells to neuronal morphology. In particular, we investigated if the removal of glial cells by Cytosine β-D-arabinofuranoside (Ara-C), an inhibitor of cell replication, could affect neuronal morphology. Hippocampal cells were seeded on 96 well plates on poly-L-Ornithine at the different cell densities previously used and neurons were maintained in culture in presence or absence of 2.5 µM Ara-C (Supplementary Fig. 2A, top and bottom rows respectively). As shown in Supplementary Fig. 2B we observed a higher number of neurons at 640 cells/mm2 when cells were grown without Ara-C, while this difference disappeared at lower cell densities. As expected, the percentage of neurons over total alive cells was different between the two conditions (Supplementary Fig. 2C), indicating a higher proliferation of glial cells in cultures that did not receive Ara-C, but this difference was not significant at cellular densities below 160 cells/mm2. Interestingly, a different number of neurons over glial cells did not affect the average TDL at the different cellular concentration (Supplementary Fig. 2D), indicating that this is a very robust parameter. Moreover, the number of endpoints and the soma area per neuron remained constant in the different conditions (Supplementary Fig. 2E,F), indicating that the removal of Ara-C did not affect neuronal morphology. Nevertheless, we decided to include Ara-C in our assay in order to be consistent with previous studies in the literature.
Cellular distribution within wells of different size
To run a high-content imaging (HCI) analysis, it is necessary that neurons do not form clusters. Indeed, in case of cell cluster formation, dendrites of different neurons could fasciculate and the software would be unable to measure the dendritic arborization correctly. Therefore, we measured the cellular distribution across the well surface in the different culturing conditions using the Cell Cluster Index, which is a number between 0 and 1, where 0 means that cells aggregate into a single large cluster of cells and 1 corresponds to absence of clusterization, i.e. cells assume a sparse distribution within the well (described in “Methods”). The insert in Fig. 4E shows the relative dimensions of a 24, 96 and a 96 half-surface well plate, while Fig. 4A (circles) shows thresholded and binarized images of an entire 24 well plate, at the different seeding cell densities, with corresponding enlargements (rectangles). Figure 4B shows a 96 MW half-surface well plate and Fig. 4C a 96 well plate, at the indicated cell densities. For all conditions, the Cell Cluster Index is shown in Fig. 4F. We observed a high level of clusterization at 640 cells/mm2 in all plate types while, by diluting the seeded cells, distribution was sparser and the Cell Cluster Index increased comparably. These results provide evidence that the cellular dispersion in the three plate types tested is independent from the plate size but is affected by cell density. Since in the 96 half-surface well plates, we occasionally found wells completely devoid of neurons due to unexplained cell mortality (data not shown), we finally chose 96 well plates as the most suitable format to establish a drug screening assay.
Cellular distribution of Mecp2−/y cells within wells of different size
After scaling down the in vitro model from 24 well plates to 96 well plates using WT neurons, we evaluated how the new culturing conditions affect the morphology of neurons with Mecp2−/y genotype. Thus, we seeded WT and Mecp2−/y hippocampal cells on 96 MW plates at the different cell densities used in the previous experiments (Fig. 4D) and we performed analysis at DIV 12. Using nuclear staining, we first measured the Cell Cluster Index and we observed a significant difference due to the different cell density, but the genotype was irrelevant with respect to the cellular distribution (Fig. 4G). These findings show that it is possible to reduce the cell seeding density in the assay down to 80 cells/mm2 without altering the cellular dispersion of WT and Mecp2−/y hippocampal neurons within the culturing wells.
Functional calcium imaging in WT and MeCP2−/y cells at different seeding densities
Previous studies have consistently reported a decrease in the frequency of spontaneous Calcium (Ca2+) oscillations and in the percentage of cells exhibiting calcium transients in cultured human iPSCs from RTT patients and murine in vitro and in vivo models19–21. To test if the miniaturized cell cultures were able to develop a functional neuronal network at the different seeding densities, we recorded the spontaneous activity with a Ca2+ imaging technique22. We used a high affinity Ca2+ indicator Oregon Green-488 BAPTA, which lead us to detect small Ca2+ changes near resting levels23. Calcium imaging was performed in WT and Mecp2−/y cells seeded in 96 well plates at 640, 320, 160 and 80 cells/mm2. Spontaneous calcium spike activity was recorded in basal conditions (Fig. 5A) with three different read-outs: the percentage of responding cells out of the total cell population (Fig. 5B); the peak frequency (peak/min) (Fig. 5C) and the inter-event intervals (Fig. 5D), namely the duration of calcium channels closure between two consequent peaks. Interestingly, only WT and Mecp2−/y neurons seeded at 160 cells/mm2 showed a significant difference concerning the percentage of the responding cells in the total cell population (Fig. 5B). Qualitative analysis of the calcium spike frequency (peaks/minute) showed that WT neurons are spontaneously activated with higher frequency in cultures with high densities (640 or 320 cells/mm2), while at lower density there was a drastic decrease of the frequency both in WT and Mecp2−/y neurons (Fig. 5A). However, the quantitative analysis showed that calcium spike frequency is significantly higher in WT than in Mecp2−/y neurons only at 640 and 160 cells/mm2 (Fig. 5C). Third, we measured the inter-event interval (Fig. 5D). The slope of the curves generated for the graphs shown in Fig. 5D are cumulative Gaussian distributions and we used a Boltzmann sigmoidal best-fit (Supplementary Table 1) to extrapolate the slope values from these data. Kolmogorov-Smirnov statistical analysis of the distribution of the inter-event interval curves (Fig. 5E), revealed significant differences between different cell densities in both genotypes (p < 0.001 for all WT combinations, and KO at 640 cells/mm2; p < 0.01 for KO 160 versus either 320 or 80 cells/mm2), but not between 80 and 160 cells/mm2 for WT and 80 and 320 cell/mm2 (Fig. 5E, left). Most importantly, significant differences were revealed between WT and KO inter-event interval duration at 640, 320 (p < 0.001), 160 (p < 0.01) cells/mm2 but not at 80 cells/mm2. Comparison of curves shift, indicated that Ca2+ channels tend to remain closed for longer time in Mecp2−/y with respect to WT neurons at all cell density, suggesting a lower spiking frequency. In fact, the shift of the curve to the left represents a minor closure time of Ca2+ channels while a shift to the right represents a longer closure time of Ca2+channels. Of note, at 160 cells/mm2 curves of both genotypes are shifted to the left with respect to the other cell densities”. In conclusion, these experiments suggest that cell cultures at low densities (80 cells/mm2) are not suitable to investigate drug-induced changes because of poor neuronal activity and clearly show that in cultures at 160 cells/mm2 it is possible to observe clear differences in network activity between WT and Mecp2−/y neurons.
Validation of the assay for detection of neurotrophic effects
To verify if our assay was able to detect changes in neuronal morphology upon drug treatments, we treated neurons plated in 96 MW plates at the density of 160 cells/mm2 with Brain-derived neurotrophic factor (BDNF), which is a well-known enhancer of dendritic arborization even in Rett syndrome24–28. BDNF was dissolved in PBS or with the same volume of PBS diluted in the culture medium (Fig. 6). After 3-days treatment, we evaluated the average TDL per neuron at DIV 12 on cells seeded at 320 and 160 cells/mm2. Although in control conditions (PBS), we did not detect any deficit in average TDL or endpoints between Mecp2−/y and WT neurons, we found a marked dose-dependent trophic effect of BDNF 25 ng/ml and 50 ng/ml on both Mecp2−/y and WT neurons at 320 cells/mm2, with a greater average fold change for Mecp2−/y neurons (Fig. 6C,E). In cultures seeded at 160 cells/mm2, the effect of BDNF was even stronger on both genotypes but with identical values for BDNF 25 ng/ml and 50 ng/ml, suggesting a saturating effect (Fig. 6D,F). These results clearly indicates that our method allows to identify a compound exerting a neurotrophic effect.
Rescue of dendritic atrophy in Mecp2−/y neurons by Mirtazapine
Drug libraries are typically dissolved in dimethyl sulfoxide (DMSO). The available literature reports a toxic effect in primary neurons exposed to DMSO for 48 hours at concentrations higher than 0.5%18,29. Thus, in the next set of experiments we investigated the effects of increasing concentrations of DMSO. As shown in Supplementary Fig. 3, we evaluated the effect of 7 different concentrations of DMSO (from 0.025% to 2%) on WT and Mecp2−/y neurons, measuring the number of neurons/mm2 (Supplementary Fig. 3A) and the average TDL (Supplementary Fig. 3B) with respect to the untreated condition (UNTR). We found significant decrease in average TDL with DMSO at 2% in WT neurons (Supplementary Fig. 3C). In particular, we found no effect DMSO 0.1%, which is the final concentration used for drug screening. Of note, in these conditions, the difference in the average TDL between WT and Mecp2−/y neurons was significant (p < 0.05) and thus, more evident than in PBS (compare with Fig. 5).
Then, we validated the assay for a future drug screening using the antidepressant Mirtazapine, which we previously demonstrated to be a positive modulator of dendritic length in Mecp2−/y mice in vivo13. We tested this drug in duplicate on neurons seeded at 320 and 160 cells/mm2 in 96 MW plates, in three independent experiments. Figure 7 shows the measured changes in average TDL upon treatment with 1, 5, or 10 µM Mirtazapine diluted in 0.1% DMSO. We highlighted a different response of cells seeded at the different cell densities despite a similar average TDL for the control condition (DMSO 0.1%, 2228 ± 58.62 µm at 320 cells/mm2 and 2841 ± 7562.6 µm at 160 cells/mm2). Specifically, the average TDL of neurons in DMSO 0.1% seeded at 320 cells/mm2 was not different between WT and KO neurons and was also not significantly modified by treatment with Mirtazapine (Fig. 7A,B). In contrast at 160 cells/mm2, we found a significant reduction in TDL in KO neurons with DMSO 0.1% and a significant rescue effect at all Mirtazapine concentrations tested (Fig. 7C,D). In conclusion, we demonstrated that at a cell density of 160 cells/mm2 our method is suitable to highlight a dendritic atrophy in RTT neurons and its rescue following 3 days of treatment with an FDA-approved drug.
Discussion
In this study, we established a robust, miniaturized in vitro model of dendritic atrophy in Rett syndrome suitable as phenotypic drug assay. After having systematically analyzed the impact of culturing conditions on the morphological and functional maturation in vitro of primary cultures of wild-type mice hippocampal neurons, we established a culture protocol in 96 well plates format that preserve the normal development and a functional neuronal network at cell densities between 320 and 160 cells/mm2. We demonstrate that this assay allows to perform phenotypical drug screening for RTT dendritic atrophy, using High Content Imaging techniques and an open-source software to analyze neuronal morphology.
Previous in vitro mouse models reproducing the developmental deficits of the Rett syndrome were developed using high seeding cell-density in the range of 600–800 cells/mm2 in 24-well plates14,27,30–32. Although a variety of cell-seeding densities ranging from 640 to 40 cells/mm2 are currently in use33–35, the available literature on phenotypic drug screening suggests that to perform a reliable measure of cellular morphology using automated image analysis tools, the cellular density should be low18,36. In neural cultures, low density ensures that neurites do not fasciculate extensively and then can be correctly identified and measured by an analysis software. Ivenshitz and Segal investigated morphological and physiological differences in rat hippocampal primary neurons at high (320 cells/mm2), medium (160 cells/mm2) and sparse (80 cells/mm2) cell densities in 24-well plates. Using Sholl analysis, they reported that neurons in sparse cultures have fewer branching points (12.30 ± 1.61) than in high density cultures (29.80 ± 3.32)15. We performed experiments at the same cell-seeding densities and in the same plate format (i.e. 24-well plates) and we found a number of neurons surviving at DIV 12–13 comparable to that of Ivenshitz and Segal15, although their initial seeding concentration was 5 times higher than in our experiments. The higher mortality that they observed might be due to the usage of the MEM + B27 culture medium instead of the Neurobasal + B27 as in our study37,38. However, in contrast to Ivenshitz and Segal findings, our experiments with WT neurons show that morphological parameters do not change with reduction in cell density. An explanation for this difference could rely in a different culture preparation method, including a different culture medium and contribution of glial cells, as well as a different protocol to perform morphological analysis15. Although we found studies that used a very low cellular density for the assay on WT primary neurons33, we excluded the seeding cell densities of 80–40 cells/mm2 because of their higher variability and poor network activity as demonstrated by our Ca2+ imaging experiments.
Of note, in addition to 320, 160, and 80 cells/mm2 as in Ivenshitz and Segal (2010)15, we also measured neurons from cultures seeded at 640 cells/mm2 in 24-well plates as in a previous study14. At this cell density, we found that neurons plated on glass appeared to have shorter dendrites than those on 24-well polystyrene plates. We observed that neurons on glass tend to fasciculate easily, leading to an underestimation of average TDL when measuring dendrites using NeuriteQuant. However, by comparing morphological parameters of neurons plated on 24, 96 and 96-half surface polystyrene well plates we show that neuronal morphological parameters are substantially identical for all plate sizes when hippocampal cultures are plated in the range of 320–80 cells/mm2. Only for neurons plated on 24-well plates at 640 cells/mm2 we found, in addition to low TDL as mentioned above, also a reduced number of endpoints. We argue that this result is likely a software artifact caused by the higher autofluorescence of these plates. Importantly, this artifact is absent in 96-well and 96-halfsurface-well plates although they are also made of polystyrene. Accordingly, we chose 96-well plates for all subsequent investigations.
It was previously demonstrated that WT hippocampal mouse neurons co-cultured with cortical astrocytes lacking Mecp2 display stunted dendrites30. In our assay, we found that reduction in the number of astrocytes obtained by incubating the cultures with Ara-C, did not affect TDL and number of endpoints. Our experiments differ from those of Ballas and coworkers (2009)30, because they used cortical astrocytes lacking Mecp2, while we used hippocampal astrocytes. A previous study showed that cortical but not hippocampal astrocytes play a neuroprotective role on hippocampal neurons exposed to amyloid β insults39. This suggests that astrocytes from different origin may exert a different effect on neuronal development. As Ara-C treatment had no significant effect on neuronal morphology, we decided to include this treatment in the culturing protocol, to be consistent with previous studies14.
Dendritic atrophy typically affects the formation of a functional neuronal network thus leading to altered synaptic activity and intellectual disabilities including mental retardation in vivo. We evaluated the impact of culturing conditions on neuronal network using morphological and functional analyses, measuring cellular distribution (Cell Cluster Index) and Ca2+ imaging, respectively. Using the Cell Cluster Index, we found that in cultures with higher cell densities, especially 640 and 320 cells/mm2, neurons tend to aggregate into large cell clusters, while at 160 and 80 cells/mm2 neurons are sparser and the majority of them appear isolated. For this reason, we preferred 320 or 160 cells/mm2 as seeding concentration for the drug screening assay.
Ca2+ imaging is defined as the major complementary approach to investigate multi-neuronal activity40. In agreement with a previous study suggesting that cellular concentration affects network activity15 we found that Ca2+ activity was more intense at higher cell densities, namely 640 and 320 cells/mm2, while at a density of 160 cells/mm2 was markedly reduced and at 80 cells/mm2 was almost completely abolished. Importantly, in Mecp2−/y neurons, Ca2+ activity showed decreased frequency and interevent interval with respect to WT neurons, but this difference was significant only at the density of 160 cells/mm2. We could not extrapolate any information about the amplitude and the height of the peaks, because BAPTA does not allow to perform a ratiometric measurement of the calcium wave15, therefore we could not quantify the amount of calcium released per peak. A previous study established a connection between Calcium regulation and dendrites retraction in the respiratory nucleus of -Mecp2 mutant mice21. In particular, they reached the conclusion that a small neuronal network (‘small-world’ simulation model) is virtually equal to a larger network in generating stable rhythmic Calcium patterns, causing no effect on dendrites. In contrast, removal of only a few connections gives rise to large spontaneous transients and causes a significant decrease in neuronal network connectivity21. Interestingly, in -Mecp2 KO neurons plated at the density of 160 cells/mm2 we observed large transients similar to those observed by Mironov and colleagues which may explain why a significant decrease in TDL between WT and KO was observed at 160 cells/mm2 cell density but not at 320 cells/mm2 (compare Fig. 7A,B).
As a proof-of-concept drug screening, we tested BDNF and Mirtazapine on Mecp2−/y neurons in a 96 well plate format. We chose to seed cells at the densities of 320 and 160 cells/mm2, under the working hypothesis that a different neuronal network could respond differently to drug treatments. We demonstrate that 160 cells/mm2 density cultures incubated with vehicle (0.1% DMSO) display a significant dendritic atrophy with respect to WT and show an evident response to treatment with Mirtazapine. In contrast, medium-density cultures 320 cells/mm2 did not show neither a deficit in vehicle conditions nor a response to drug treatment with Mirtazapine. Of note, cultures incubated with PBS instead of DMSO, did not show dendritic atrophy although BDNF diluted at various concentrations in PBS had a marked trophic effect on both WT and Mecp2−/y neurons. Taken together, these results strongly indicate that phenotypic effects of drugs on Mecp2−/y neurons are more easily detectable using slightly harsher culturing conditions such as those determined by the 160 cells/mm2 seeding density and 0.1% DMSO. Indeed, among all the culturing conditions tested in this study, cultures at 160 cells/mm2 density were the only ones that permitted to obtain sparse neuronal network with individually identifiable neurons, statistically significantly impaired Ca2+ activity and clear dendritic atrophy in Mecp2−/y neurons with respect to WT.
Finally, the method described in this study allows to use just one mouse brain (both hippocampi) to fill a 96 well plate. This finding is of general interest for in vitro research on cellular neuroscience, since many morphological studies are currently performed using high density cultures. A major strength of this method is that it could be also used to investigate multiple signaling pathways, since the 96 well plate format allows testing numerous experimental conditions.
In conclusion, we have successfully established an in vitro model of dendritic atrophy in Mecp2−/y mouse hippocampal primary cultures that is suitable as a phenotypic drug screening assay because it shows significant reductions in total dendritic length, dendritic endpoints and soma size and responds with a rescue of these deficits after a three-day treatment with Mirtazapine and with a trophic response to BDNF. Being based on free and open-source software and consenting a high degree of automation, the method described here represents an accessible, powerful and quantitative tool for investigating virtually every neurodevelopmental disease with dendritic atrophy.
Methods
Mice strain and genotyping
In conformity to the Italian legislation D.Lgs. 116/92, animal use was approved by the Italian Ministry of Health (Authorization n. 71/2018-PR) and all experiments were performed in accordance with relevant guidelines and regulations. Animals were kept in ventilated cages under 12/12 h light/dark cycle with food and water ad libitum. Wild-type (WT) C57BL/6 male mice (Charles River Laboratories, Calco, LC, Italy) were crossed with C57BL/6 female mice heterozygous for the deletion of exons 3 and 4 in Mecp2 gene41 (Mecp2−/+, B6.129P2(C)-Mecp2tm1.1Bird/J, stock: 003890, Jackson Laboratories, Bar Harbor, Maine) to obtain Wild-Type (Mecp2+/y, WT) and Knock-Out (Mecp2−/y, KO) male mice.
Mice genotype was determined using DNA extracted from tails using KAPA Express Extract Buffer and KAPA Express Extract Enzyme (KAPA Biosystems, Cape Town, South Africa). Polymerase Chain Reaction (PCR) was performed using KAPA2G Fast DNA polymerase with the following primers: 5′-AAATTGGGTTACACCGCTGA-3′ (Common Forward 9875, Jackson Laboratory), 5′-CTGTATCCTTGGGTCAAGCTG-3′ (Wild Type Reverse oIMR7172, Jackson Laboratory), 5′- CCACCTAGCCTGCCTGTACT-3′ (Mutant Reverse 9877, Jackson Laboratory). PCR reaction was performed in a final volume of 25 µl set as follows: initial denaturation at 95 °C for 3 minutes then, 95 °C for 20 seconds, 58 °C for 20 seconds, 72 °C for 20 seconds (35 cycles) and final elongation at 72 °C for 2 minutes.
Culture of hippocampal primary neurons
Hippocampal neuronal cultures were prepared from postnatal day 0 or 1 (P0–P1) Wild-Type (Mecp2+/y, WT) and Knock-Out (Mecp2−/y, KO) male mice as previously described14. Briefly, mice were decapitated and both hippocampi extracted and collected in cold Hank’s balanced salt solution HBSS (NaHCO3 4.2 mM, Hank’s salt powder 0.952%, HEPES 12 mM, 4-(2-hydroxyethyl)-1-piperazineethane-sulphonic acid, Sigma), then digested with 0.25% Trypsine (Euroclone) at 37 °C for 8 minutes. Enzymatic digestion was blocked with Dulbecco’s Modified Eagle Medium high glucose (DMEM, Euroclone), supplemented with 10% Fetal Bovine Serum (FBS) and penicillin-streptomycin (Euroclone), then the tissue was centrifuged at 800 rpm for 5 minutes at room temperature. The tissue was resuspended with DMEM + 10% FBS and mechanically triturated. Cells were counted with the dye exclusion method using Trypan Blue (Sigma) in the Burker chamber (Eppendorf), obtaining 600 000–800 000 cells from each mouse. Cells were plated either on 12 mm cover glasses (Sacco) or directly on polystyrene in 24-, 96- and 96 half surface-multiwell plates (Sarstedt), coated with 0.1% poly-L-Ornithine (Sigma) with/without 2% Matrigel (BD science). We seeded cells at different cell densities: 640 cells/mm2, 320 cells/mm2, 160 cells/mm2, 80 cells/mm2 and 40 cells/mm2. Cultures were grown at 37 °C and 5% CO2 in Neurobasal (Invitrogen) supplemented with 2% B-27 (Invitrogen), 1 mM L-glutamine and 1% penicillin-streptomycin. Cell medium was changed at DIV 3 including Cytosine β-D-arabinofuranoside (Ara-C, Sigma) at the final concentration of 2.5 µM to inhibit proliferation of non-neuronal cells. Cells were maintained in culture until DIV 12–13. For the experiment shown in Supplementary Fig. 1, using 24-well plates, cells were infected at DIV 3 with an Adeno-Associated Virus (AAV9) expressing GFP under the synapsin promoter at the concentration of 5 × 1013 U/mL.
Treatments
Drugs were included in culture medium at DIV 9 for 3 days. BDNF (Alomone Labs) was used at the final concentration of 25, 50 ng/ml, in Phosphate-buffered saline solution (PBS). Mirtazapine (Abcam Biochemicals; Cat. N. ab120068) was tested at the concentration of 1, 5 or 10 µM (in DMSO 0.1%).
Neuronal morphology analysis
Soma area, TDL and number of endpoints were measured using NeuriteQuant, an open source plugin for ImageJ42. The analysis is independent from concentration of 25, 50 ng/ml, in Phosphate-buffered saline solution (PBS) which was added to the culture medium (50 µl of 4xBDNF in 150 µl of Neurobasal + B27 medium = 200 µl total volume). Instead the control samples were incubated with 50 µl PBS (the vehicle for BDNF) in 150 µl of Neurobasal + B27 medium ( = 200 µl total volume). Mirtazapine (abcam Biochemicals; Cat. N. ab120068) was tested at the concentration of 1, 5 or 10 µM (in DMSO 0.1%).
Immunofluorescence
Hippocampal primary cultures were fixed at DIV 12 using 4% Paraformaldehyde (PFA, Sigma) in PBS for 15 minutes at room temperature, then washed with PBS and permeabilized using PBS-Triton 0,1% for 25 minutes. To block unspecific binding sites, blocking solution was prepared with PBS-Triton 0,1% and 2% Bovine Serum Albumin (BSA, Sigma). Primary antibodies were diluted in blocking solution (see Table 1 for dilutions) and incubated for 1 hour at room temperature in dark humified chamber. Cells were washed twice with PBS-Triton 0,1% and incubated with secondary antibodies diluted 1:500 in blocking solution: anti-rabbit IgG Alexa Fluor568 (Invitrogen), anti-mouse IgG Alexa Fluor647 (Invitrogen) and anti- mouse IgG Alexa Fluor488 (Invitrogen). Cells were washed twice with PBS-Triton 0,1% and incubated with Hoechst 33342 (10 mg/ml, Sigma) at the dilution 1:1000 (final concentration 10 µg/ml) in PBS for 5 minutes. Glass coverslips were washed with MilliQ water and Mowiol (Sigma) was added to preserve fluorescence, then were left at room temperature overnight and imaged the day after, while polystyrene plates were left in PBS and imaged within a few hours. In Supplementary Fig. 1 is shown an example of the differences in average Total Dendritic lenght (TDL) measured using GFP-staining with AAV9 and different anti-MAP2 antibodies at the cellular concentration of 160 cells/mm2 at DIV 12.
Table 1.
Antibody | Species | Dilution | Company | Code |
---|---|---|---|---|
anti-MAP2 isotypes 2 A + 2B + 2C | Rabbit pAb | 1:500 | SantaCruz | Dismissed |
anti-MAP2 isotypes 2A + 2B | Mouse mAb | 1:500 | Sigma | M1406 |
anti-MAP2 isotypes 2A + 2B + 2C + 2D | Rabbit pAb | 1:500 | Genetex | GTX50810 |
anti-NeuN | Mouse mAb | 1:1000 | Millipore | MAB377 |
Images were acquired using Nikon Eclipse Ti-E epifluorescence live imaging microscope equipped with a motorized stage and a Nikon DS-Qi2 camera (CMOS sensor, 16.25 megapixel, 14 bit gray levels). Acquisitions were performed using the software Nis-Elements 4.60 with the module “JOBS” for automated imaging. For the analysis of untreated WT and Mecp2−/y neurons (Figs. 1–4), four images were acquired with 20x in the central region of each well and combined into a single large image by the function “Stitching” of the Nis-Elements software. For the analysis of the cultures treated with BDNF or Mirtazapine (Figs. 6, 7), seven random fields per well were acquired with 10x objective and analyzed individually. The number of neurons and the total number of cells seeded was determined counting NeuN positive cells and Hoechst positive cell respectively, with the “Object-analyzer” plugin for Nis-Elements 4.60.
Neuronal morphology analysis
Soma area, TDL and number of endpoints were measured using NeuriteQuant, an open source plugin for ImageJ. The analysis is independent from signal intensity, so it can trace neurites which show both a strong or a weak signal intensity. Neverthless, a signal-to-noise ratio higher than 3 is preferred and somehow required42. To perform the analysis, there are four different parameters to be set and a correct tuning of these parameters is required in order to achieve a reliable analysis. We set these parameters as follows:
Neurite detection width: 12.
Neurite detection threshold: 8.
Neurite cleanup threshold: 170.
Neuronal cell body detection: 300.
Cell cluster analysis
To characterize the differences in the distribution of cells within a well at the different cell densities and in the different well plates, we acquired images of the full well surface in the Hoechst channel (nuclear staining) using 4X objective (2, 20 µm/px resolution), both for WT and Mecp2−/y cells. These images were used to calculate the Cell Cluster Index, which represents a quantitative evaluation of the degree of clustering of the cells, based on the “nucleus-nucleus distance Index”. We used the ClusterIndex Jython script designed by Dr. Kota Miura (available here: ClusterIndex-guithub), that we have customized to analyze a region of interest (ROI) excluding from the analysis the borders of the wells.
Calcium imaging
Cells for calcium imaging were plated at 640 cell/mm2, 320 cell/mm2, 160 cell/mm2 and 80 cell/mm2. Experiments were performed at DIV 12–13, on both WT and Mecp2−/y cells. The culture medium was removed, and cells were loaded with the calcium indicator acetoxymethyl ester Oregon green 488 BAPTA-1 (Thermofischer) diluted in KREBS solution (NaCl 150 mM, KCl 4 mM, CaCl2 2 mM, MgCl2 1 mM, HEPES 10 mM, D-Glucose 10 mM, pH 7.4) 1% BSA to reach the final concentration of 10 µM. Once loaded, cells were kept for 2–3 hours at 37 °C and then the loading solution was replaced with fresh KREBS solution. Images were acquired using Nikon Eclipse Ti-E-epifluorescence live imaging microscope using 20 X objective. The software acquisition used was Nis-Element 4.60, with an exposure time of 250 msec and a frame-rate of 3 images/sec (i.e. every 330 msec). The acquisition protocol provides for each well 3 acquisitions lasting 3:30 minutes, interleaved by 10:30 minutes of no acquisition. We performed a further 7 minutes-long acquisition, in which cell were stimulated with KCl (final concentration 50 mM) followed by a pause of 7 minutes and then 3:30 minutes acquisition. To maintain the physiological conditions through the entire acquisition process, the plates were mounted in stage top incubator maintaining the temperature at 37 °C and receiving 5% CO2 balanced with air by a flow meter (Okolab, Pozzuoli-Napoli, Italy).
Statistical analysis
All statistical data analysis and data representation were performed using the Prism 6 software (Graphpad). Statistical significance for comparisons between different groups was established using either a Student t-test when comparing 2 conditions/group, One-Way ANOVA for multiple comparisons to compare more than 2 groups or Two-way ANOVA to compare the effects of 2 independent variables (e.g. cell density and genotype). In the case of data not passing the normality test (Shapiro-Wilk) the statistical difference was calculated using Mann-Whitney Rank Sum Test to compare 2 groups, or Kruskall Wallis test when comparing more than 2 groups. Outlier’s detection was performed using Grubb’s test with Graphpad software. For Ca2+ imaging, the Interevent interval statistical analysis was performed using the Kolmogorv-Smirnov test (Graph Pad Prism 7.00).
Supplementary information
Acknowledgements
The authors thanks the Pro Rett Ricerca Association and the Jérôme Lejeune Foundation for their generous support to this study. The study has been in part supported by FRA2016 of the University of Trieste.
Author contributions
E.N. planned and performed the experiments of Figures 1, 2, 3, 4 and 6 and supplementary figures; O.R. did the experiments of Figures 5, 6, and 7; G.B. collaborated on the experiment planning and data analysis, E.T. conceived the study, revised the data and wrote the main manuscript text together with E.N. and O.R. All authors reviewed the manuscript.
Data availability
The datasets generated for this study are included in the manuscript.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
is available for this paper at 10.1038/s41598-020-59268-w.
References
- 1.Kaufmann WE, Moser HW. Dendritic anomalies in disorders associated with mental retardation. Cerebral cortex. 2000;10:981–991. doi: 10.1093/cercor/10.10.981. [DOI] [PubMed] [Google Scholar]
- 2.Kulkarni VA, Firestein BL. The dendritic tree and brain disorders. Molecular and cellular neurosciences. 2012;50:10–20. doi: 10.1016/j.mcn.2012.03.005. [DOI] [PubMed] [Google Scholar]
- 3.Martinez-Cerdeno V. Dendrite and spine modifications in autism and related neurodevelopmental disorders in patients and animal models. Developmental neurobiology. 2017;77:393–404. doi: 10.1002/dneu.22417. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Copf T. Impairments in dendrite morphogenesis as etiology for neurodevelopmental disorders and implications for therapeutic treatments. Neuroscience and biobehavioral reviews. 2016;68:946–978. doi: 10.1016/j.neubiorev.2016.04.008. [DOI] [PubMed] [Google Scholar]
- 5.Williamson SL, Christodoulou J. Rett syndrome: new clinical and molecular insights. European journal of human genetics: EJHG. 2006;14:896–903. doi: 10.1038/sj.ejhg.5201580. [DOI] [PubMed] [Google Scholar]
- 6.Wan M, et al. Rett syndrome and beyond: recurrent spontaneous and familial MECP2 mutations at CpG hotspots. American journal of human genetics. 1999;65:1520–1529. doi: 10.1086/302690. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Pohodich AE, Zoghbi HY. Rett syndrome: disruption of epigenetic control of postnatal neurological functions. Human molecular genetics. 2015;24:R10–16. doi: 10.1093/hmg/ddv217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Armstrong D, Dunn JK, Antalffy B, Trivedi R. Selective dendritic alterations in the cortex of Rett syndrome. Journal of neuropathology and experimental neurology. 1995;54:195–201. doi: 10.1097/00005072-199503000-00006. [DOI] [PubMed] [Google Scholar]
- 9.Bauman ML, Kemper TL, Arin DM. Pervasive neuroanatomic abnormalities of the brain in three cases of Rett’s syndrome. Neurology. 1995;45:1581–1586. doi: 10.1212/wnl.45.8.1581. [DOI] [PubMed] [Google Scholar]
- 10.Belichenko NP, Belichenko PV, Li HH, Mobley WC, Francke U. Comparative study of brain morphology in Mecp2 mutant mouse models of Rett syndrome. The Journal of comparative neurology. 2008;508:184–195. doi: 10.1002/cne.21673. [DOI] [PubMed] [Google Scholar]
- 11.Belichenko PV, et al. Widespread changes in dendritic and axonal morphology in Mecp2-mutant mouse models of Rett syndrome: evidence for disruption of neuronal networks. The Journal of comparative neurology. 2009;514:240–258. doi: 10.1002/cne.22009. [DOI] [PubMed] [Google Scholar]
- 12.Katz DM, et al. Rett Syndrome: Crossing the Threshold to Clinical Translation. Trends in neurosciences. 2016;39:100–113. doi: 10.1016/j.tins.2015.12.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Bittolo T, et al. Pharmacological treatment with mirtazapine rescues cortical atrophy and respiratory deficits in MeCP2 null mice. Scientific reports. 2016;6:19796. doi: 10.1038/srep19796. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Baj G, Patrizio A, Montalbano A, Sciancalepore M, Tongiorgi E. Developmental and maintenance defects in Rett syndrome neurons identified by a new mouse staging system in vitro. Frontiers in cellular neuroscience. 2014;8:18. doi: 10.3389/fncel.2014.00018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Ivenshitz M, Segal M. Neuronal density determines network connectivity and spontaneous activity in cultured hippocampus. Journal of neurophysiology. 2010;104:1052–1060. doi: 10.1152/jn.00914.2009. [DOI] [PubMed] [Google Scholar]
- 16.Kaech S, Banker G. Culturing hippocampal neurons. Nature protocols. 2006;1:2406–2415. doi: 10.1038/nprot.2006.356. [DOI] [PubMed] [Google Scholar]
- 17.Sünwoldt J, Bosche B, Meisel A, Mergenthaler P. Neuronal Culture Microenvironments Determine Preferences in Bioenergetic Pathway Use. Frontiers in molecular neuroscience. 2017;10:305. doi: 10.3389/fnmol.2017.00305. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Al-Ali, H., Blackmore, M., Bixby, J. L. & Lemmon, V. P. In Assay Guidance Manual (eds Sittampalam, G. S. et al.) (2004).
- 19.Amaral MD, Chapleau CA, Pozzo-Miller L. Transient receptor potential channels as novel effectors of brain-derived neurotrophic factor signaling: potential implications for Rett syndrome. Pharmacology & therapeutics. 2007;113:394–409. doi: 10.1016/j.pharmthera.2006.09.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Marchetto MC, et al. A model for neural development and treatment of Rett syndrome using human induced pluripotent stem cells. Cell. 2010;143:527–539. doi: 10.1016/j.cell.2010.10.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Mironov SL, et al. Remodelling of the respiratory network in a mouse model of Rett syndrome depends on brain-derived neurotrophic factor regulated slow calcium buffering. The Journal of physiology. 2009;587:2473–2485. doi: 10.1113/jphysiol.2009.169805. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Pfeiffer T, Draguhn A, Reichinnek S, Both M. Optimized temporally deconvolved Ca(2)(+) imaging allows identification of spatiotemporal activity patterns of CA1 hippocampal ensembles. NeuroImage. 2014;94:239–249. doi: 10.1016/j.neuroimage.2014.03.030. [DOI] [PubMed] [Google Scholar]
- 23.Paredes RM, Etzler JC, Watts LT, Zheng W, Lechleiter JD. Chemical calcium indicators. Methods. 2008;46:143–151. doi: 10.1016/j.ymeth.2008.09.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Lazo OM, et al. BDNF regulates Rab11-mediated recycling endosome dynamics to induce dendritic branching. The Journal of neuroscience: the official journal of the Society for Neuroscience. 2013;33:6112–6122. doi: 10.1523/JNEUROSCI.4630-12.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Horch HW. Local effects of BDNF on dendritic growth. Reviews in the neurosciences. 2004;15:117–129. doi: 10.1515/revneuro.2004.15.2.117. [DOI] [PubMed] [Google Scholar]
- 26.Huang EJ, Reichardt LF. Neurotrophins: roles in neuronal development and function. Annual review of neuroscience. 2001;24:677–736. doi: 10.1146/annurev.neuro.24.1.677. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Larimore JL, et al. Bdnf overexpression in hippocampal neurons prevents dendritic atrophy caused by Rett-associated MECP2 mutations. Neurobiology of disease. 2009;34:199–211. doi: 10.1016/j.nbd.2008.12.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Li W, Pozzo-Miller L. BDNF deregulation in Rett syndrome. Neuropharmacology. 2014;76 Pt C:737–746. doi: 10.1016/j.neuropharm.2013.03.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Zhang S, et al. Mechanism Responsible for Intercalation of Dimethyl Sulfoxide in Kaolinite: Molecular Dynamics Simulations. Applied clay science. 2018;151:46–53. doi: 10.1016/j.clay.2017.10.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Ballas N, Lioy DT, Grunseich C, Mandel G. Non-cell autonomous influence of MeCP2-deficient glia on neuronal dendritic morphology. Nature neuroscience. 2009;12:311–317. doi: 10.1038/nn.2275. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Rangasamy S, et al. Reduced neuronal size and mTOR pathway activity in the Mecp2 A140V Rett syndrome mouse model. F1000Research. 2016;5:2269. doi: 10.12688/f1000research.8156.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Sun Y, et al. Loss of MeCP2 in immature neurons leads to impaired network integration. Human molecular genetics. 2019;28:245–257. doi: 10.1093/hmg/ddy338. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Al-Ali H, Schurer SC, Lemmon VP, Bixby JL. Chemical interrogation of the neuronal kinome using a primary cell-based screening assay. ACS chemical biology. 2013;8:1027–1036. doi: 10.1021/cb300584e. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Harrill JA, Robinette BL, Mundy WR. Use of high content image analysis to detect chemical-induced changes in synaptogenesis in vitro. Toxicology in vitro: an international journal published in association with BIBRA. 2011;25:368–387. doi: 10.1016/j.tiv.2010.10.011. [DOI] [PubMed] [Google Scholar]
- 35.Lopez-Garcia I, et al. Development of a stretch-induced neurotrauma model for medium-throughput screening in vitro: identification of rifampicin as a neuroprotectant. British journal of pharmacology. 2018;175:284–300. doi: 10.1111/bph.13642. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Zanella F, Lorens JB, Link W. High content screening: seeing is believing. Trends in biotechnology. 2010;28:237–245. doi: 10.1016/j.tibtech.2010.02.005. [DOI] [PubMed] [Google Scholar]
- 37.Brewer GJ, Torricelli JR, Evege EK, Price PJ. Optimized survival of hippocampal neurons in B27-supplemented Neurobasal, a new serum-free medium combination. Journal of neuroscience research. 1993;35:567–576. doi: 10.1002/jnr.490350513. [DOI] [PubMed] [Google Scholar]
- 38.Kaneko A, Sankai Y. Long-term culture of rat hippocampal neurons at low density in serum-free medium: combination of the sandwich culture technique with the three-dimensional nanofibrous hydrogel PuraMatrix. PloS one. 2014;9:e102703. doi: 10.1371/journal.pone.0102703. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Bianco F, et al. Overflow microfluidic networks: application to the biochemical analysis of brain cell interactions in complex neuroinflammatory scenarios. Analytical chemistry. 2012;84:9833–9840. doi: 10.1021/ac302094z. [DOI] [PubMed] [Google Scholar]
- 40.Grienberger C, Konnerth A. Imaging calcium in neurons. Neuron. 2012;73:862–885. doi: 10.1016/j.neuron.2012.02.011. [DOI] [PubMed] [Google Scholar]
- 41.Guy J, Cheval H, Selfridge J, Bird A. The role of MeCP2 in the brain. Annual review of cell and developmental biology. 2011;27:631–652. doi: 10.1146/annurev-cellbio-092910-154121. [DOI] [PubMed] [Google Scholar]
- 42.Dehmelt L, Poplawski G, Hwang E, Halpain S. NeuriteQuant: an open source toolkit for high content screens of neuronal morphogenesis. BMC neuroscience. 2011;12:100. doi: 10.1186/1471-2202-12-100. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets generated for this study are included in the manuscript.