Skip to main content

ORIGINAL RESEARCH article

Front. Cell. Neurosci., 14 February 2022
Sec. Non-Neuronal Cells
Volume 15 - 2021 | https://doi.org/10.3389/fncel.2021.817277

Vav3-Deficient Astrocytes Enhance the Dendritic Development of Hippocampal Neurons in an Indirect Co-culture System

David Wegrzyn Josephine Zokol Andreas Faissner*
  • Department of Cell Morphology and Molecular Neurobiology, Ruhr-University Bochum, Bochum, Germany

Vav proteins belong to the class of guanine nucleotide exchange factors (GEFs) that catalyze the exchange of guanosine diphosphate (GDP) by guanosine triphosphate (GTP) on their target proteins. Here, especially the members of the small GTPase family, Ras homolog family member A (RhoA), Ras-related C3 botulinum toxin substrate 1 (Rac1) and cell division control protein 42 homolog (Cdc42) can be brought into an activated state by the catalytic activity of Vav-GEFs. In the central nervous system (CNS) of rodents Vav3 shows the strongest expression pattern in comparison to Vav2 and Vav1, which is restricted to the hematopoietic system. Several studies revealed an important role of Vav3 for the elongation and branching of neurites. However, little is known about the function of Vav3 for other cell types of the CNS, like astrocytes. Therefore, the following study analyzed the effects of a Vav3 knockout on several astrocytic parameters as well as the influence of Vav3-deficient astrocytes on the dendritic development of cultured neurons. For this purpose, an indirect co-culture system of native hippocampal neurons and Vav3-deficient cortical astrocytes was used. Interestingly, neurons cultured in an indirect contact with Vav3-deficient astrocytes showed a significant increase in the dendritic complexity and length after 12 and 17 days in vitro (DIV). Furthermore, Vav3-deficient astrocytes showed an enhanced regeneration in the scratch wound heal assay as well as an altered profile of released cytokines with a complete lack of CXCL11, reduced levels of IL-6 and an increased release of CCL5. Based on these observations, we suppose that Vav3 plays an important role for the development of dendrites by regulating the expression and the release of neurotrophic factors and cytokines in astrocytes.

Introduction

Vav3 belongs to the Dbl-family of guanine nucleotide exchange factors (GEFs) which includes further 68 members in humans (Rossman et al., 2005). It is characterized by the Dbl homology (DH) domain localized next to a regulatory pleckstrin homology (PH) domain and can be activated by the phosphorylation of a tyrosine residue (Tyr174) (Turner and Billadeau, 2002; Rossman et al., 2005). The catalytic activity of Vav-GEFs is accomplished by an interaction between the DH domain and target proteins. Here, especially members of the Rho-GTPase family can be switched into an active state by Vav-GEFs. Vav3 can directly activate RhoA, RhoG and Rac-1 (Movilla and Bustelo, 1999; Movilla et al., 2001). Furthermore, a study described that Vav3 indirectly acts on Cdc42 by an accumulation of phosphatidylinositol 3,4,5- trisphosphate (PIP3) (Aoki et al., 2005). Since RhoA, Rac-1 and Cdc42 are strong modulators of the cytoskeleton, Vav3 functions as a mediator of intracellular reorganizations of the cytoskeleton (Tapon and Hall, 1997). In this way, Vav3 regulates key events of CNS development like migration (Khodosevich et al., 2009), proliferation (Fujikawa et al., 2002), differentiation (Ulc et al., 2019) and axo-dendritic maturation (Quevedo et al., 2010; Sauzeau et al., 2010; Ulc et al., 2017; Wegrzyn et al., 2020).

Interestingly, several studies could show that a lack of Vav3 impacts the axonal and dendritic morphology of neurons in different brain areas. Purkinje and granule cells of Vav3-knockout animals showed a reduction of the dendritic complexity in the postnatal period of mice (Quevedo et al., 2010). This observation was accompanied by motoric deficiencies which, however, vanished in the adult stage. Furthermore, GABAergic neurons exhibited an impaired axon guidance in the brainstem when Vav3 was deficient (Sauzeau et al., 2010). The altered axon guidance of GABAergic neurons in the brainstem of mice was consequently linked to hypertension, tachycardia, and renocardiovascular dysfunctions (Sauzeau et al., 2010). Additionally, primary hippocampal neurons derived from Vav3-deficient embryonic animals displayed a significant raise in their axonal lengths and complexities as well as in their structural synapse numbers in vitro (Wegrzyn et al., 2020). In schizophrenia patients VAV3 could be furthermore identified as a risk gene and polymorphisms were discussed to possibly be responsible for reduced volumes of the left superior and middle temporal gyri (Aleksic et al., 2013). Although, there are several studies with a focus of Vav3 on the neuronal development and differentiation, less is known about the function of Vav3 in astrocytes. Astrocytes are glial cells that highly support neurons in multiple ways (Ben Haim and Rowitch, 2017). With their protrusions, astrocytes form perisynaptic contacts and contribute to the tripartite synapse (Perea et al., 2009; Faissner et al., 2010; Bernardinelli et al., 2014). Furthermore, astrocytes are involved in the uptake and recycling of glutamate (Norenberg and Martinez-Hernandez, 1979), modulation of neuronal activity by the release of gliotransmitters (Zhang et al., 2003; Panatier et al., 2006; Jourdain et al., 2007; Henneberger et al., 2010), structure of the blood-brain barrier (Janzer and Raff, 1987) and metabolic support of neurons (Deitmer et al., 2019). There is a growing evidence that Rho-GTPases affect the stellation of astrocytes and modify neuron-astrocyte interactions (Zeug et al., 2018). Furthermore, different roles of RhoA, Rac-1 and Cdc42 could be observed for the morphological organization of astrocytes. RhoA has been identified to mainly act as a negative regulator of the astrocytic process outgrowth. The inhibition of RhoA by C3 derived from Clostridium botulinum enhanced the outgrowth and branching of astrocytic processes as well as the migratory activity in an in vitro scratch wound assay (Höltje et al., 2005). Similar results were obtained when the RhoA downstream target protein Rho-associated protein kinase (ROCK) was specifically inhibited via the selective inhibitor Y27632 (Höltje et al., 2005). Contrary effects could be seen for Rac-1. The transfection of primary astrocytes with Rac1-shRNA disrupted the formation of a stellate morphology when Y27632 was added to the culture medium (Racchetti et al., 2012). Additionally, studies with a dominant negative form of Rac1 could support this observation and furthermore show a reduced motility of astrocytic processes which went along with a reduced maturation of dendritic protrusions in organotypic slice cultures (Nishida and Okabe, 2007). The astrocytic migration is furthermore positively promoted by the activity of Rac1 (Liao et al., 2015). For Cdc42, especially an important role for the migration could be observed (Robel et al., 2011; Bardehle et al., 2013).

While there are several scientific publications about the individual impact of single Rho-GTPases on astrocytic properties, less is known about the role of regulatory upstream GEFs like Vav3. Here, we utilized an indirect co-culture system to investigate the impact of a Vav3 knockout in astrocytes on the dendritic morphology of primary hippocampal neurons. Furthermore, we characterized the expression levels of several neurotrophic factors on mRNA level and the cytokine levels in the cell culture supernatant of native and Vav3-deficient astrocytes. A better understanding of Rho-GTPases and their upstream regulators might unravel novel aspects of neuron-astrocyte interactions and allow for new therapeutic strategies by the manipulation of Rho-GEFs.

Materials and Methods

Animals

All experiments of this study were performed in accordance with the Society for Neuroscience and the European Council Directive of September 22, 2010 (2010/63/EU), for care of laboratory animals and approved by the animal care committee of North Rhine-Westphalia, Germany, based at the LANUV (Landesamt für Umweltschutz, Naturschutz und Verbraucherschutz, North Rhine-Westphalia, D-45659 Recklinghausen, Germany). Wildtype (WT) SV129 and Vav3 knockout animals of both sexes were used and originated from the mouse colony of the Department for Cell Morphology and Molecular Neurobiology of the Ruhr-University Bochum (Luft et al., 2015; Wegrzyn et al., 2020). The animals were kept under standardized conditions with a regulated temperature (21°C), humidity (60–70%) and a 12 h dark/light circle. The animals were supplied with food and water ad libitum.

Cell Culture

Preparation of Mixed Glial Cultures

Primary mixed glial cultures derived from cerebellar tissue of SV129 and Vav3–/– animals and were performed as previously described, with slight modifications of the protocol (McCarthy and de Vellis, 1980; Gottschling et al., 2016). First, postnatal day 1–3 (P1-3) animals were decapitated, and six cortices were transferred into 1 ml HBSS (Thermo Fisher Scientific Inc.; Cat. No.: 14170088). Afterward, the HBSS was replaced by 1 ml digestion solution composed of 30 U Papain (Worthington; Cat. No.: LS003126), 80 μg/ml (w/v) DNase I (Worthington; Cat. No.: LS002007), and 0.96 mg/ml (w/v) L-cysteine (Sigma-Aldrich; Cat. No.: C2529) in DMEM (Thermo Fisher Scientific Inc.; Cat. No.: 41966029) and incubated for 1 h at 37°C Contemporaneous, a T-75 culture flask (Sarstedt; Cat. No.: 83.3911.002) was coated with 10 μg/ml (w/v) poly-D-lysine (PDL, Sigma-Aldrich; Cat. No.: P0899) for 1 h at 37°C in the incubator. Afterward, the digestion solution was removed and replaced by freshly prepared astrocyte culture medium consisting of DMEM (Thermo Fisher Scientific Inc.; Cat. No.: 41966029) with 10% (v/v) horse serum (Sigma-Aldrich; Cat. No.: S9135) and 0.1% (v/v) gentamicin (Sigma-Aldrich; Cat. No.: S9135). After the digestion, the cortices were triturated and centrifuged at 1,000 rpm for 5 min. Next, the supernatant was discarded, and the pellet resuspended in 1 ml of astrocyte medium. Finally, the cell solution was added to 9 ml astrocyte medium in the T-75 culture flask, which was previously washed with PBS (1x) after the coating procedure. The cultures were kept at 37°C and 6% CO2 with a first medium exchange after 7 days and the following medium exchanges were performed every second or third day.

Elimination of Microglia and Oligodendrocyte Precursor Cells

In order to receive pure astrocytic cultures, the T-75 culture flasks were placed on an orbital shaker for 1 h at 250 rpm and 37°C (New Brunswick Scientific) after an initial cultivation time of 7–8 days. In a second step, the flasks were shaken at 250 rpm and 37°C overnight after the lid of culture flask was covered with parafilm (Brand, Wertheim). This procedure accomplished a constant CO2 level in the flasks. The following day, the culture medium was completely removed and replaced by fresh and pre-warmed astrocyte medium which additionally contained 20 mM of cytosine-1-β-D-arabinofuranoside (Ara-C, Sigma-Aldrich, Cat. No.: C1768). The treatment of the cells with Ara-C was maintained for 48–72 h and reduced the number of microglia and Oligodendrocyte Precursor Cells (OPCs). Finally, pure astrocyte cultures were kept at 37°C and 6% CO2 with a complete medium exchange every second or third day until further experiments were performed.

Scratch Wound Healing Assay

For the scratch wound assay, 4-well plates (Thermo Fisher Scientific Inc.; Cat. No.: 176740) were used which were previously coated with 10 μg/ml (w/v) PDL. Wildtype or Vav3–/–astrocytes were detached from the previously prepared T-75 flasks via an exchange of the astrocyte culture medium by 3 ml of 0.05% (v/v) trypsin/EDTA (T/E) (Thermo Fisher Scientific Inc.; Cat. No.: 25300054). The digestion solution was left on the astrocytic monolayer for 7 min at 37°C in the incubator. Then, the detached astrocytes were transferred into 7 ml of astrocyte medium and centrifuged at 1,000 rpm for 5 min. After the centrifugation, the supernatant was discarded, and the cell pellet resuspended in 1 ml astrocyte medium. A total number of 35,000 astrocytes in 500 μl culture medium (=̂ 70,000 cells/ml) was plated out per well. The astrocytes were cultured at 37°C and 6% CO2 with a total medium exchange every second or third day. After a cultivation time of 10 days, astrocytes were confluently grown and a scratch was carefully drawn across the cell layer with the tip of a 10 μl pipette, as previously described (Etienne-Manneville, 2006). Afterward, the wound closure was documented after 24, 48, and 72 h via phase contrast microscopy.

Culturing of Astrocytes in Transwells

In order to prepare different co-culture combinations, astrocytes of both conditions were plated out in transwells with a permeable membrane (pore size: 0.4 μm; Falcon by Thermo Fisher Scientific Inc.; Cat. No. 08-770). The membrane allowed for the diffusion of astrocytic secreted factors into the commonly shared medium (Geissler and Faissner, 2012). The detachment of wildtype and Vav3–/– astrocytes was performed as previously described in chapter 2.2.3. Here, the dissociated astrocytes were plated out in a density of 25,000 cells in 500 μl astrocyte medium (=̂ 50,000 cells/ml) on PDL-coated transwells. Finally, the transwells were hang in 24-well dishes (Thermo Fisher Scientific Inc.; Cat. No.: 142475) and placed in the incubator at 37°C and 6% CO2. After a cultivation time of approximately 4–5 days the transwells were used for the co-cultures.

Primary Hippocampal Neuronal Cultures

For the culturing of pure primary neurons, embryonic wildtype and Vav3–/– animals of the developmental stage E15.5 were used and the embryonic hippocampi dissected, as previously described (Gottschling et al., 2016). The embryonic day 15.5 was determined for the preparation in order to obtain pure neuronal cultures without astrocytes which begin to form at earliest at E17.5 and especially in the first postnatal week (Bond et al., 2020). The use of serum-free medium prevented the proliferation of any astrocyte progenitors. Isolated hippocampi were transferred and collected in dissection medium consisting of HBSS (Thermo Fisher Scientific Inc.; Cat. No.: 14170088), 0.6% (w/v) glucose (Serva Electrophoresis GmbH; Cat. No.: 22700), and 10 mM HEPES (Thermo Fisher Scientific Inc.; Cat. No.: 15630080). After the dissection, the tissue digestion was performed using 30 U Papain (Worthington; Cat. No.: LS003126) in MEM (Thermo Fisher Scientific Inc.; Cat. No.: 31095029) with 80 μg/ml (w/v) DNase I (Worthington; Cat. No.: LS002007) and 0.96 mg/ml (w/v) L-cysteine (Sigma-Aldrich; Cat. No.: C2529) for 15 min at 37°C. Next, the digestion solution was aspirated and replaced by fresh neuron medium composed of MEM (Thermo Fisher Scientific Inc.; Cat. No.: 31095029), 2% (v/v) B27 (Thermo Fisher Scientific Inc.; Cat. No.: 17504044), 0.1% (v/v) ovalbumin (Sigma-Aldrich; Cat. No.: A7641) 10 mM sodium pyruvate (Sigma-Aldrich; Cat. No.: S8636), and 0.1% (v/v) gentamicin (Sigma-Aldrich; Cat. No.: S9135). The hippocampi were washed three times by exchanging the neuron medium. After the final washing step, the tissue was carefully triturated to a single cell suspension which was subsequently used for the co-cultures.

Indirect Co-culturing of Neurons and Astrocytes

Primary hippocampal neurons were cultured on poly-L-ornithine (PLO) (15 μg/ml; Sigma-Aldrich; Cat. No.: P3655) coated glass cover slips in special 24-well plates which were suitable for the astrocyte containing transwells (Falcon; Product No.: 353504). A total number of 35,000 wildtype or Vav3–/– neurons was plated out in 500 μl neuron medium per well (=̂ 70,000 cells/ml). Afterward, the well plates were placed in the incubator for 1 h to allow the cells to attach to the cover slips. During this incubation time, the serum-containing astrocyte medium in the transwells was replaced by serum-free neuron medium. Then, the astrocyte containing transwells were carefully hung in the 24-well plates with the neurons. The co-cultures were kept in the incubator at 37°C and 6% CO2 until further experiments were performed. After a cultivation time of 12 and 17 days in vitro, the transwells were removed and the neuronal networks were fixed with pre-warmed 4% (w/v) paraformaldehyde (Carl Roth GmbH & Co., KG; Cat. No.:4235.1) for 10 min. After three washing steps with PBS, the cells were kept at 4°C until the immunocytochemical visualization of the dendrites was performed.

Immunocytochemistry

Visualization of Dendritic Trees

After the fixation, neurons were incubated with primary antibodies diluted in PBT-1 (PBS with 0.1% v/v Triton X-100 (AppliChem GmbH; Cat. No.: A4975,0500; Sigma-Aldrich) and 1% w/v bovine serum albumin (BSA) (Carl Roth GmbH & Co., KG; Cat. No.:8076.2). Here, the following antibodies were used: anti-Map2 [1:300, rabbit, polyclonal, RRID: AB_1840999; Sigma-Aldrich (by Merck KGaA)], anti GAD65/76 antibody (1:300, mouse, monoclonal, RRID: AB_2039129, Enzo Life Sciences). Since interneurons form morphologically different dendritic trees compared to pyramidal neurons, GAD65/67 was used to distinguish between these two neuronal types. The incubation was carried out in a humid chamber for 1 h at room temperature. Then, the antibody solution was aspirated, and the coverslips were washed three times with PBS/A (PBS with 0.1% (w/v) BSA). Then, the cover slips were incubated with the secondary antibody solution containing the following antibodies: anti-rabbit (Cy3, polyclonal, goat, RRID: AB_2338003, Jackson ImmunoResearch Labs), anti-mouse (AF488, polyclonal, goat, RRID:AB_AB_2338844, Jackson ImmunoResearch Labs). Furthermore, bisbenzimide (Hoechst 33258, 1:100.000, Sigma-Aldrich) was used in a dilution of 1:1,00,000 in the secondary antibody solution for the visualization of nuclei. The secondary antibodies were left for 45–60 min on the coverslips at room temperature. Afterward, the coverslips were rinsed three times with PBS (1x) and once with purified Milli-Q water. In a final step, the coverslips were placed on microscope slides (Thermo Fisher Scientific Inc.; Cat. No.: 630-2012) and mounted with ImmuMount (Thermo Fisher Scientific Inc.; Cat. No.: 10662815).

Molecular Biology

Sample Collection and mRNA Isolation

Previously prepared wildtype and Vav3–/– astrocytes were detached from the T-75 flasks as described in chapter 2.2.3. Then, a total number of 200,000 astrocytes was plated out in 3 ml astrocyte medium (=̂ 66,667 cells/ml) per well. Here, PDL-coated 6-well plates (Thermo Fisher Scientific Inc.; Cat. No.:140675) were used. After a cultivation time of 10 days in vitro, the cells were lysed following the manufacturers instruction. The GenElute Mammalian Total RNA Miniprep Kit (Sigma-Aldrich by Merck KGaA; Cat. No.: RTN350) was used for the isolation and purification of the mRNA. Furthermore, the lysates of two wells were pooled in order to obtain a sufficient amount of mRNA for further analysis.

cDNA Synthesis

The cDNA synthesis was performed with the First Strand cDNA Synthesis Kit from Thermo Fisher Scientific Inc. (Cat. No.: K1622). Here, 1 μg mRNA was utilized for the synthesis of cDNA which was subsequently stored at –20°C until the Polymerase chain reactions (PCR) were performed.

Reverse Transcriptase-PCR

The reverse transcriptase (RT) PCRs were performed with the primer pairs listed in Table 1. All primers were ordered and obtained from Sigma-Aldrich.

TABLE 1
www.frontiersin.org

Table 1. Primer sequences and PCR settings.

Medium Conditioning and Cytokine Array

For the analysis of the secreted cytokines in the supernatant of wildtype and Vav3–/– astrocytes, the Proteome Profiler Mouse Cytokine Array Panel A (R&D Systems, Cat. No.: ARY006) was used without changing the manufacturers protocol. Here, the astrocytes were cultured in T-25 flasks (Sarstedt; Cat. No.: 83.3911.002) which were previously coated with 10 μg/ml (w/v) PDL. After purifying the cultures from microglia and OPCs (10–11 days in culture) the astrocyte medium was replaced by serum-free neuron medium composed of MEM (Thermo Fisher Scientific Inc.; Cat. No.: 31095029), 2% (v/v) B27 (Thermo Fisher Scientific Inc.; Cat. No.: 17504044), 0.1% (v/v) ovalbumin (Sigma-Aldrich; Cat. No.: A7641) 10 mM sodium pyruvate (Sigma-Aldrich; Cat. No.: S8636), and 0.1% (v/v) gentamicin (Sigma-Aldrich; Cat. No.: S9135) and conditioned for 24 h. Then, the supernatant was collected and stored at –80°C until the cytokine array analysis was performed. For the cytokine array 1 ml of the astrocyte supernatant was used for every experimental repetition. The chemiluminescence signals were measured with a chemiluminescence reader from Biostep and an exposure time of 2 min was set. The quantification of the signals was performed via ImageJ and the signal intensities were normalized against the internal positive controls of the array.

Neurotrophin-3 ELISA

For the detection of NT-3 in the supernatant of wildtype and Vav3–/– astrocytes, serum-free neuronal medium was conditioned for 24 h, as previously mentioned under 2.5. Then, the Mouse Neurotrophin-3 ELISA Kit (ab213882) from Abcam was used without any changes of the manufacturers protocol.

Microscopy

The immunocytochemically stained neurons were recorded with the fluorescence microscope AxioPlan 2 from Zeiss with an affiliated digital camera (AxioCam MRm, Zeiss). Furthermore, the associated AxioVision 4.5 software (Zeiss) was utilized for the data documentation. For the phase contrast images of the astrocytes and neuronal networks the light microscope AxioObserver A1 (Zeiss) was used.

Data Quantification

The dendritic arborization was analyzed using the “Sholl analysis v3.0” plugin for ImageJ which is freely available at https://imagej.net/plugins/sholl-analysis (Sholl, 1953; Ferreira et al., 2014). Here, the immunocytochemical recordings were first transformed into binary images and then skeletonized. Afterward, a region of interest (ROI) was defined, and the radius step size was set at 15 μm. The obtained data points were transferred to Microsoft Excel for further quantification. Additionally, the dendritic lengths and the number of dendrites were manually measured with the “Freehand line” tool and the “Multi-point” tool in ImageJ (v 1.53k). The morphological analysis of this study was limited to the dendritic compartment since the axons were extensively branched and highly wired with axons of other neurons, at this culturing stage. A quantification of single axons was consequently not possible in this culture system.

For the measurement of the scratch area in the astrocytic monolayer the “Freehand Selections” tool was utilized after defining a scale bar.

The results of the RT-PCRs were quantified with the “Rectangle” tool in ImageJ. Here, the mean gray value of every PCR band was measured. After subtracting the background, the values were set in relation to the intensity of the actin bands.

The signal intensities of the cytokine array were evaluated similarly. However, the “Oval” tool in ImageJ was used instead of the “Rectangle” tool. Here, also the mean gray values were measured and set in relation to the internal positive controls after subtracting the background noise.

Statistics

The statistical analysis of this study was carried out with GraphPad Prism (v. 8.2.1). For the Sholl analysis as well as for the dendrite lengths and branches the normality distribution of the data sets was tested with the Kolmogorov-Smirnov test. Afterward, the Kruskal-Wallis test with a Dunn’s multiple comparison test was performed to determine the significance level between the groups. For a better and clearer overview the data were shown in a pairwise manner in individual graphs. A detailed description about the number of experimental repetitions as well as the total number of analyzed neurons can be found in the figure legends.

For the scratch wound assay the normality distribution of the data sets was also tested via the Kolmogorov-Smirnov test. Here, normally distributed data sets were statistically analyzed with the unpaired t-test. A detailed description about the number of analyzed recordings is also given in the associated figure legends.

The normality distribution of the PCR data sets was tested with the Shapiro-Wilk-test. Since all data sets were normally distributed, the unpaired t-test was performed to determine the significance levels. This was also the case for the data sets from the cytokine array analysis. The associated figure legends give a detailed description about the number of experimental repetitions and replicates.

Results

Vav3–/– Astrocytes Enhance the Dendritic Development of Wildtype Neurons in vitro

In order to analyze the impact of Vav3–/– astrocytes on the development of primary hippocampal neurons, indirect co-cultures were used with varying combinations of wildtype/Vav3–/– neurons and wildtype/Vav3–/– astrocytes (Figure 1A). As the control condition, wildtype neurons were co-cultured with wildtype astrocytes. Furthermore, wildtype neurons were cultured in an indirect contact with Vav3–/– astrocytes. Finally, Vav3–/– neurons were kept in culture with wildtype astrocytes since it is known that a deficiency of Vav3–/– influences the early development of axons and dendrites in vitro (Wegrzyn et al., 2020). The neurons of all three culture combinations formed highly branched and complex networks after a cultivation time of 12 and 17 days in vitro (Figures 1B–D,1B’–D’). The phase contrast images did not show obvious differences between the culture combinations at both analyzed timepoints.

FIGURE 1
www.frontiersin.org

Figure 1. (A) Primary hippocampal neurons were cultured in an indirect co-culture setup with cortical astrocytes. In order to analyze the influence of a Vav3 deficiency in neurons and astrocytes, different combinations of Vav3 knockout neurons and astrocytes were used. First, wildtype neurons were cultured with wildtype astrocytes and served as the control condition. Furthermore, Vav3–/– neurons were combined with wildtype astrocytes for the analysis of neuron-specific effects induced by the Vav3 knockout. Last, wildtype neurons were cultured with Vav3–/– astrocytes to investigate possible positive or negative effects for native neurons. (B–D) Neurons were kept in culture for 12 days in completely defined medium without serum and formed a highly complex network. Native neurons cultured with Vav3–/– astrocytes appeared slightly more complex in comparison to the other culture combinations. (B’–D’) Additionally, neurons were cultured for a longer culturing time of 17 days since the dendrites become longer and more complex at this point in time. Scale bar: 200 μm.

The analysis of the dendritic complexity was performed by an immunocytochemical staining against the microtubule associated protein Map2 which was subsequently combined with the Sholl analysis, as similarly performed in various studies (Figures 2A–A”,B–B”,C–C”, 3A–A”,B–B”,C–C”; Huang et al., 2011; Bartelt-Kirbach et al., 2016; Jacobs et al., 2016; Czaniecki et al., 2019). The expression of Map2 is strictly limited to the dendritic compartment and occurs in the main stable dendrites (Caceres et al., 1984). In addition, neurons were co-stained with an antibody against GAD65/67 because interneurons highly differ in their morphology and might negatively affect the outcome of the analysis. In this way, a differentiation between pyramidal neurons and interneurons was possible. The complexity of the dendritic trees was quantified using the Sholl analysis (Figures 2A”’–C”’, 3A”’–C”’; Sholl, 1953). After a cultivation time of 12 days in vitro, Vav3–/– neurons cultured with wildtype astrocytes showed a mild but significantly decreased number of intersections in a region close to the cell soma compared to the control condition (Figure 2D). The number of intersections measured at all other distances from the soma revealed no significant changes between these two conditions. Table 2 gives an overview about all values.

FIGURE 2
www.frontiersin.org

Figure 2. (A–A”, B–B”, C–C”) After a culturing time of 12 days neurons were immunocytochemically stained with specific antibodies against the dendritic marker Map2 and the interneuron marker GAD65/67. Furthermore DAPI was used for the visualization of nuclei. The GAD65/67 positive neurons were excluded from the analysis since interneurons have a highly differing morphology in comparison to pyramidal neurons and might falsify the experimental outcome. Three exemplary neurons are depicted per condition. (A”’–C”’) A Sholl analysis was performed for determining the dendritic complexity. The projections depict the skeletonized dendrites and red areas represent a high number of intersections while blue regions represent a low number of intersections, (D–F) The quantification of the Sholl analysis could show that especially wildtype neurons cultured with Vav3–/– astrocytes developed more complex dendrites than neurons of both other conditions. (G) The quantification of the dendritic lengths revealed a significant increase in Vav3–/– neurons cultured with wildtype astrocytes and in native neurons cultured with Vav3–/– astrocytes in comparison to the controls. Dots are representing single analyzed dendrites. (H) In contrast, the number of dendrites was slightly reduced in the cultures consisting of wildtype neurons combined with Vav3–/– astrocytes. Dots are representing individual neurons analyzed regarding their number of dendrites. Statistics: For the Sholl analysis five experimental repetitions (N = 5) were performed for the culture combinations WT(N)/WT(A) and Vav3–/– (N)/WT(A) while three experimental repetitions (N = 3) were performed for the combination WT(N)/Vav3–/– (A). Furthermore, 40 neurons (n = 40) were recorded and analyzed per experimental repetition. For the dendritic lengths and numbers 3 experimental repetitions (N = 3) were performed with 20 quantified neurons (n = 20) per repetition. Kruskal-Wallis test with a following Dunn’s multiple comparison test; *p ≤ 0.05, **p ≤ 0.01 and ***p ≤ 0.001, data are represented as mean ± SEM. Scale bar: 50 μm.

FIGURE 3
www.frontiersin.org

Figure 3. (A–A”,B–B”,C–C”) Neurons of the different combinations were fixed after a culturing time of 17 days and immunostained against Map2 and GAD65/67. As previously mentioned GAD65/67 positive neurons were excluded from the analysis since interneurons possess a strongly differing morphology compared to pyramidal neurons. DAPI was utilized for the visualization of nuclei. Three exemplary neurons are shown per condition. (A”’–C”’) The Sholl projection represents the skeletonized dendrites and depicts highly branched regions with a red labeling while less branched regions are marked by a blue labeling. (D–F) After a culturing time of 17 days in vitro wildtype neurons which were kept in culture with Vav3–/– astrocytes showed a significantly increase in the number of intersections at nearly all analyzed distances from the soma. Furthermore, Vav3–/– neurons developed a higher number of intersections in the distal part of the dendrites. (G) Vav3–/– neurons cultured with wildtype astrocytes showed a significantly reduced dendritic length in comparison to both other conditions. Dots are representing single analyzed dendrites. (H) The quantification of the number of dendrites revealed no significant differences between all analyzed conditions. Dots are representing individual neurons analyzed for their number of dendrites. As already described in Figure 2 five experimental repetitions (N = 5) were performed for the culture combinations WT(N)/WT(A) and Vav3–/–(N)/WT(A) while three experimental repetitions (N = 3) were performed for the combination WT(N)/Vav3–/–(A) for the Sholl analysis. Furthermore, 40 neurons (n = 40) were recorded and analyzed per experimental repetition. For the dendritic lengths and numbers 3 experimental repetitions (N = 3) were performed with 20 quantified neurons (n = 20) per repetition. Kruskal-Wallis test with a following Dunn’s multiple comparison test; *p ≤ 0.05, **p ≤ 0.01 and ***p ≤ 0.001, data are represented as mean ± SEM. Scale bar: 50 μm.

TABLE 2
www.frontiersin.org

Table 2. Intersection numbers of Vav3–/– neurons compared to the control condition after a cultivation time of 12 days.

The most prominent difference could be seen when wildtype neurons cultured with Vav3–/– astrocytes were compared with the control condition (Figure 2E). Here, Vav3–/– astrocytes significantly increased the dendritic complexity of wildtype neurons between 60 and 165 μm distant from the soma compared to the control combination of wildtype neurons with wildtype astrocytes, as indicated in Table 3.

TABLE 3
www.frontiersin.org

Table 3. Intersection numbers of wildtype neurons cultured with Vav3–/– astrocytes in comparison to the control condition after cultivation time of 12 days.

A comparison of wildtype neurons cultured with Vav3–/– astrocytes with Vav3–/– neurons cultured with wildtype astrocytes revealed only minor differences in a distance of 75, 90, and 105 μm (Figure 2F). The number of intersections and the p-values are listed in Table 4.

TABLE 4
www.frontiersin.org

Table 4. Intersection numbers of wildtype neurons cultured with Vav3–/– astrocytes in comparison to Vav3–/– neurons cultured with wildtype astrocytes after cultivation time of 12 days.

In addition to the Sholl analysis, the average number of dendrites per neuron and the dendritic lengths were analyzed (Figures 2G,H). Wildtype neurons which were co-cultured with wildtype astrocytes formed dendrites with an average length of 57.79 ± 2.03 μm after a cultivation time of 12 days. Interestingly, Vav3–/– neurons cultured with wildtype astrocytes formed significantly longer dendrites with an average length of 68.26 ± 4.71 μm when they were compared with the previously mentioned control condition (p < 0.0001). However, the longest dendrites could be observed when wildtype neurons were co-cultured with Vav3–/– astrocytes. In this combination, neurons formed dendrites with an average length of 82.02 ± 5.22 μm and were significantly longer in comparison to both other conditions (p < 0.0001) (Figure 2G). For the number of dendrites a slight but significant (p = 0.014) reduction could be seen when wildtype neurons were cultured with Vav3–/– astrocytes (4.88 ± 0.21) and compared with the control condition (5.82 ± 0.29) (Figure 2H).

The dendritic parameters were furthermore analyzed after a longer cultivation time of 17 days in vitro (Figures 3A–A”,B–B”,C–C”). Here, Vav3–/– neurons cultured with wildtype astrocytes showed a mild increase in the number of intersections in 105–150 μm distant from the soma compared to the control condition (Figure 3). Table 5 contains all values of the afore mentioned combinations.

TABLE 5
www.frontiersin.org

Table 5. Intersection numbers of Vav3–/– neurons in comparison to the control condition after cultivation time of 17 days.

In accordance with the previously described increase of the dendritic complexity when wildtype neurons were cultured with Vav3–/– astrocytes for 12 days in vitro, similar results were obtained after a longer cultivation time (Figure 3E). Here, the neurons formed dendrites with a clearly increased number of intersections at nearly all analyzed distances. The exact values are given in Table 6.

TABLE 6
www.frontiersin.org

Table 6. Intersection numbers of wildtype neurons cultured with Vav3–/– astrocytes in comparison to the control condition after cultivation time of 17 days.

When wildtype neurons cultured with Vav3–/– astrocytes were compared with Vav3–/– neurons cultured with wildtype astrocytes only minor differences were seen after 17 DIV (Figure 3F). In a distance of 60 and 75 μm from the soma Vav3–/– neurons formed a higher number of intersections. However, all other analyzed distances revealed no significant alteration of the intersection number. The whole data set is listed in Table 7.

TABLE 7
www.frontiersin.org

Table 7. Intersection numbers of wildtype neurons cultured with Vav3–/– astrocytes in comparison to Vav3–/– neurons cultured with wildtype astrocytes after cultivation time of 17 days.

The dendritic lengths as well as the number of dendrites were also analyzed after 17 DIV (Figures 3G,H). Here, the increased dendrite lengths of wildtype neurons cultured with Vav3–/– astrocytes could not be observed anymore. Neurons of the control condition formed dendrites with an average length of 92.97 ± 2.65 μm. In comparison, wildtype neurons cultured with Vav3–/– astrocytes formed dendrites with a similar average dendritic length of 97.70 ± 7.07 μm. The statistical test revealed no significance for these two conditions (p > 0.999). Interestingly, Vav3–/– neurons co-cultured with wildtype astrocytes developed dendrites with an average length of 75.41 ± 5.21 μm and were significantly shorter compared to both other conditions (p < 0.0001) (Figure 3G). With regard to the number of dendrites no significant change could be seen when all three combinations were compared with each other (Figure 3H).

Vav3–/– Astrocytes Show Higher Expression Levels of NT-3 and TSP-1 in vitro

Since a higher arborization and length of dendrites were observed when wildtype neurons were co-cultured with Vav3 deficient astrocytes, the expression levels of different neurotrophins and neurotrophic cytokines were investigated via RT-PCR analysis (Figures 4A,B). Interestingly, Vav3–/– astrocytes showed a significantly raised expression of NT-3 and TSP-1 (Figures 4C,D). Here, wildtype neurons showed a relative expression of 0.13 ± 0.05 for NT-3 and 0.71 ± 0.07 for TSP-1. In comparison, Vav3–/– astrocytes displayed significantly increased expression levels for NT-3 (0.38 ± 0.07, p = 0.0002) and TSP-1 (0.91 ± 0.15, p = 0.0289). Surprisingly, NT-3 could merely be detected in exceedingly low levels in the conditioned medium of wildtype and Vav3–/– astrocytes via ELISA (Supplementary Figure 1). A comparison of the OD450 values revealed similar signals intensities between both analyzed conditions. Furthermore, the expression of thrombospondin-2 (TSP-2) was unchanged when both groups were compared with each other (WT: 0.68 ± 0.34, Vav3–/–: 0.32 ± 0.21, p = 0.868) (Figure 4E). A significant downregulation of the transcript variant 1 of the nerve growth factor (NGF) could be seen in Vav3–/– astrocytes (0.25 ± 0.06) compared to wildtype astrocytes (0.47 ± 0.13, p = 0.01) (Figure 4F). A comparison of the expression levels of further neurotrophic factors revealed no significant alterations (Figures 4G–K). Here, the expression of the transcript variant 2 of NGF (WT: 0.74 ± 0.16, Vav3–/–: 0.59 ± 0.06, p = 0.082), transforming growth factorβ (TGF-β) (WT: 1.05 ± 0.19, Vav3–/–: 0.99 ± 0.12, p = 0.578), brain-derived neurotrophic factor (BDNF) (WT: 0.80 ± 0.14, Vav3–/–: 0.72 ± 0.08, p = 0.283), ciliary neurotrophic factor (CNTF) (WT: 0.59 ± 0.13, Vav3–/–: 0.47 ± 0.15, p = 0.176) and leukemia inhibitory factor (LIF) (WT: 0.90 ± 0.32, Vav3–/–: 0.96 ± 0.17, p = 0.716) was similar in wildtype and Vav3–/– astrocytes.

FIGURE 4
www.frontiersin.org

Figure 4. (A,B) Wildtype and Vav3–/– astrocytes were lysed and a RT-PCR analysis with primers for different neurotrophic factors was performed. The signal intensity of NT-3 appeared stronger in Vav3–/– astrocytes compared to wildtype astrocytes. Furthermore, there was a slightly reduced signal intensity of the transcript variant 1 of NGF in Vav3–/– astrocytes. (C–K) The signal intensity of the PCR bands was set in relation to the actin positive control and compared between both groups. The quantification revealed a significantly increased expression of NT-3 and TSP-1 while the transcript variant of NGF was reduced. The expression of all other analyzed neurotrophic factors was unchanged in the knockout condition. Individual dots are representing the signal intensity of every sample in relation to actin Statistics: in total, five independent experimental repetitions (N = 5) were performed and one lysed sample (n = 1) per repetition was used for the PCRs. Unpaired t-test; *p ≤ 0.05, **p ≤ 0.01 and ***p ≤ 0.001, data are represented as mean ± SEM.

Vav3–/– Astrocytes Show an Altered Secretion Pattern of Chemokines and Cytokines

Because NT-3 could not be detected in the conditioned medium of wildtype as well as Vav3–/– astrocytes, a cytokine array analysis was performed in order to identify further secreted factors which might possibly be responsible for the enhanced dendrite growth and branching (Figure 5A). For this purpose, serum free medium with the same composition as the neuronal culture medium described under 2.2.5 was conditioned for 24 h by wildtype and Vav3–/– astrocytes. The cytokine array revealed similar values for most of the cytokines detected in the supernatants, as indicated in the heatmap (Figure 5B). However, the analysis of the conditioned medium of Vav3–/– astrocytes unraveled reduced levels of IL-6 and a complete lack of CXCL11 (Figures 5A,B). Furthermore, the conditioned medium of Vav3–/– astrocytes showed an increased concentration of CCL5. The statistical quantification of the data verified these observations (Figures 5C–Q). For CXCL11, a relative signal intensity of 0.19 ± 0.05 could be detected in the supernatant of wildtype astrocytes while the signal was nearly not detectable in the supernatant of Vav3–/– astrocytes [0.00004 ± 0.00002 (p = 0.0049)] (Figures 5B,D). Further members of the CXCL chemokine family could be observed but did not show significant alterations between both conditions (CXCL1: WT: 1.03 ± 0.064, Vav3–/–: 1.14 ± 0.025, p = 0.136; CXCL2: WT: 0.25 ± 0.080, Vav3–/–: 0.48 ± 0.06, p = 0.093; CXCL10: WT: 0.71 ± 0.10, Vav3–/–: 0.71 ± 0.03, p = 0.999; CXCL12: WT: 0.015 ± 0.004, Vav3–/–: 0.018 ± 0.004, p = 0.818) (Figures 5B,C,H,N,Q). Interestingly, the conditioned medium of Vav3–/– astrocytes showed a reduced signal intensity for IL-6 which was 0.09 ± 0.05 and hence significantly reduced in comparison to the signal intensity of IL-6 in the supernatant of wildtype astrocytes [0.56 ± 0.20 (p = 0.0488)] (Figures 5B,I). Beside IL-6, the cytokine TNF-α (WT: 0.86 ± 0.22, Vav3–/–: 0.96 ± 0.07, p = 0.650) and IL-1ra (WT: 0.01 ± 0.006, Vav3–/–: 0.02 ± 0.014, p = 0.999) could be detected without significant changes between wildtype and Vav3–/– astrocytes (Figures 5B,G,P). CCL5 was the only detected cytokine which showed a significantly increased signal intensity in the knockout condition. Here, an average signal intensity of 0.53 ± 0.11 could be seen in the supernatant of wildtype astrocytes and 0.97 ± 0.029 in the supernatant of Vav3–/– astrocytes (p = 0.003) (Figures 5B,O). In addition, several other members of the CCL chemokine family were verified in similar levels between both conditions (CCL1: WT: 0.004 ± 0.002, Vav3–/–: 0.003 ± 0.002, p = 0.686; CCL2: WT: 0.33 ± 0.09, Vav3–/–: 0.30 ± 0.09, p = 0.809; CCL3: WT: 0.59 ± 0.20, Vav3–/–: 0.67 ± 0.11, p = 0.706; CCL4: WT: 0.68 ± 0.23, Vav3–/–: 0.61 ± 0.13, p = 0.802; CCL12: 0.006 ± 0.003, Vav3–/–: 0.004 ± 0.002, p = 0.700) (Figures 5B,J,L,M). Different colony stimulating factors could be verified in the supernatant of both, wildtype and knockout astrocytes. However, their signal intensities were low, and no significant changes could be seen (G-CSF: WT: 0.04 ± 0.016, Vav3–/–: 0.01 ± 0.005, p = 0.115; GM-CSF: WT: 0.088 ± 0.04, Vav3–/–: 0.009 ± 0.005, p = 0.080; M-CSF: WT: 0.032 ± 0.017, Vav3–/–: 0.020 ± 0.010, p = 0.559) (Figures 5B,F). Finally, Timp-1 (WT: 0.57 ± 0.122, Vav3–/–: 0.61 ± 0.04, p = 0.724), sICAM-1 (WT: 0.33 ± 0.120, Vav3–/–: 0.26 ± 0.097, p = 0.670) and TREM-1 (WT: 0.003 ± 0.002, Vav3–/–: 0.03 ± 0.001, p = 0.802) were detected with similar mean values between both analyzed groups (Figures 5B,E,K).

FIGURE 5
www.frontiersin.org

Figure 5. (A) Serum-free neuronal medium was conditioned for 24 h with the secreted factors of wildtype and Vav3–/– astrocytes. Then, cytokine arrays were used in order to determine the cytokine and chemokine profiles of both groups. The conditioned medium of Vav3–/– astrocytes revealed an altered profile with a lack of CXCL11, reduced levels of IL-6 and increased levels of CCL5 (indicated by red boxes). (B) A total number of 20 cytokines and chemokines could be detected in the supernatants and are depicted in the heatmap. The individual numbers on the membranes are defined by the corresponding cytokine and chemokine names in the heatmap. A low cytokine level is represented by a white color while a strong level is represented by dark red colors. As indicated by the bold boxes, the conditioned medium of Vav3–/– astrocytes showed a lack of CXCL11, increased concentrations of CCL5 and reduced levels of IL-6. (C–Q) The statistical analysis of the cytokine array confirmed these observations. Since the concentrations of Trem1, CCL1, G-CSF, M-CSF, and CCL12 were exceedingly low in the supernatants they were shown in detail by diagrams. The exact values can be found in the result part 3.3. Statistics: Three experimental repetitions (N = 3) were performed, and two technical replicates (n = 2) were considered per repetition. Unpaired t-test, *p ≤ 0.05, **p ≤ 0.01 and ***p ≤ 0.001, data are represented as mean ± SEM.

Vav3–/– Astrocytes Show a Faster Regeneration in a Scratch Wound Healing Assay

Rho-GTPases are highly involved in the regulation of cytoskeletal reorganizations. This is necessary in cases of migration and proliferation. In order to examine if a lack of Vav3 has effects on the astrocytic migration, a scratch wound healing assay was performed (Etienne-Manneville, 2006; Figures 6A–D,A’–D’). Although the average size of the initial scratch was higher in the Vav3–/– astrocyte cultures (416987.73 ± 7963.12 μm2) than in the wildtype cultures (380123.67 ± 14206.58 μm2, p = 0.028), Vav3–/– astrocytes showed a significantly lower scratch area after 24 h (WT: 208997.23 ± 15449.84 μm2, Vav3–/–: 159452.72 ± 10843.95 μm2, p = 0.016), 48 h (WT: 57346.53 ± 9698.27 μm2, Vav3–/–: 15674.60 ± 4302.31 μm2, p = 0.0002) and 72 h (WT: 14496.64 ± 4273.20 μm2, Vav3–/–: 1872.90 ± 1325.65 μm2, p = 0.0065) (Figures 6F–H). A lack of Vav3 in the knockout cultures was verified via RT-PCR analysis (Figure 6I). Interestingly, a scratch in the wildtype astrocyte monolayer induced the downregulation of Vav3 on mRNA level as shown in Figure 6J. Before performing the scratch, native astrocytes showed a relative expression of 0.59 ± 0.15 for Vav3. However, 24 h after the scratch the astrocytes showed just a relative Vav3 expression of 0.16 ± 0.03. Similar results were also obtained 48 h (0.14 ± 0.01) and 72 h (0.14 ± 0.01) after the scratch. The relative expression of Vav3 at all analyzed points in time after the scratch was significantly reduced (p < 0.0001).

FIGURE 6
www.frontiersin.org

Figure 6. (A–D,A’–D’) Wildtype and Vav3–/– astrocytes were tested regarding their migration behavior in a scratch wound healing assay. Phase contrast images were taken immediately after performing the scratch (0 h) and after 24, 48, and 72 h. (E–H) The scratch area was visibly smaller in the Vav3–/– astrocyte cultures after 24 and 72 h, although the initially performed scratch was greater in these cultures. (I) RT-PCR analysis confirmed the absence of Vav3–/– in cultured astrocytes. (J) Furthermore, the expression of Vav3 was significantly reduced in wildtype cultures after performing the scratch. Statistics: In total, five experimental repetitions (N = 5) were performed for the scratch wound healing assay. Here, 6 phase contrast images (n = 6) were recorded and quantified per experimental repetition. For the Vav3 RT-PCR also five experimental repetitions (N = 5) and one sample per preparation (n = 1) were used. Unpaired t-test, *p ≤ 0.05, **p ≤ 0.01 and ***p ≤ 0.001, data are represented as mean ± SEM. Scale bar: 200 μm.

Discussion

Vav3 Deficiency Alters Dendrite Lengths of Hippocampal Neurons After 12 and 17 DIV

In the present study, we could observe that a knockout of the GEF Vav3 has merely mild effects on the dendritic complexity of primary hippocampal neurons in vitro (Figures 2D, 3D). After a culturing time of 12 days nearly no difference was visible between wildtype and knockout neurons, while after 17 days a mild increase in the number of intersections could be detected. This was especially the case for the distal regions of Vav3–/– dendrites. Nevertheless, the lack of Vav3 showed a stronger impact on the average dendritic length. Here, a statistically significant increase of the dendrite lengths was observed after 12 days in vitro and a decrease after 17 days in vitro (Figures 2G, 3G). These data suggest, that Vav3 rather acts as a regulator of the dendrite elongation than as a regulator of the dendritic branching, at least, in the here analyzed culture period of 17 days. In a previous study, we could already observe an increase of the dendrite lengths after a short culturing time of 3 and 5 days in primary hippocampal neurons lacking Vav3 (Wegrzyn et al., 2020). This indicates that Vav3 might have distinct regulatory roles for the early and later dendrite development. Interestingly, a previous study could prove an important function of Vav3 for the dendrite branching of Purkinje and granule cells in the cerebellum of mice (Quevedo et al., 2010). Here, significant branching deficits could be seen in the early postnatal period which vanished in adult animals. Furthermore, this study could detect varying expression levels of Vav3 in different developmental stages, supporting the previously mentioned aspect of an regulating function of Vav3 during early and late developmental stages or culturing periods (Quevedo et al., 2010). Other studies unraveled significant effects of a Vav3 knockout on the axonal development in early culturing stages as well as in vivo (Sauzeau et al., 2010; Wegrzyn et al., 2020). Because of the highly complex wiring of individual axons with axons of other neurons, this neuronal compartment was not considered for this study. Nevertheless, it would be of great interest to investigate the impact of a Vav3 deletion on the axonal morphology in matured neurons in future studies. Here, cultures with a low cell density could be used to track individual axons. As indicated in the introduction, Vav3 acts as an activator of the Rho-GTPases RhoA, Rac-1 and Cdc42, which are modulators of the cytoskeleton (Movilla and Bustelo, 1999; Movilla et al., 2001; Scott et al., 2003; Aoki et al., 2005). Biochemical [3H]GDP-releasing assays could verify that Vav3 strongly induces a nucleotide exchange on RhoA, to a lesser extent on Rac-1 and is nearly inactive on Cdc42 (Movilla and Bustelo, 1999). Therefore, most of the observed effects in this study might result from a lowered RhoA activity. However, this assumption must be proven by analyzing the activity of the different Rho-GTPases in Vav3 knockout neurons in future studies. Unfortunately, the low cell number of the present culture system did not permit for the detection of individual Rho-GTPase activities. Nevertheless, previous studies could already show that a lack of RhoA in neurons of Drosophila melanogaster was responsible for the overextension of dendrites (Lee et al., 2000). Here, the authors discuss that RhoA is essential for a limitation of the dendrite growth. In accordance with this conclusion, studies that utilized dominant active forms of RhoA revealed a reduction of dendrite lengths and a simplification of dendritic trees in rodents via Rho-associated protein kinase (ROCK) activation (Nakayama et al., 2000; Ahnert-Hilger et al., 2004). This is in accordance with our observation of the increased dendrite lengths after 12 days in vitro but not with the reduced dendrite lengths after 17 days in vitro. A possible explanation might be that compensatory mechanisms intervene after a longer culturing time and that other GEFs like Vav2 prevent a persisting extension of dendrites. Here, it has been shown that Vav2 unfolds regulatory functions for the branching and elongation of neurites in Xenopus laevis in vivo as well as in vitro (Moon and Gomez, 2010). Interestingly, a previous study described the protein expression levels of Vav2 in whole brain lysates (without cerebellar tissue) at different developmental stages and observed a strong expression at E13.5-E18.5 which gradually decreased at postnatal stages and reached the lowest levels in adult animals (Cowan et al., 2005). Since this study showed a gradual decrease over time it might be possible that Vav2 merely compensates the effects of a Vav3 knockout on the dendritic complexity at early culturing stages but not in advanced cultures. Here, the slight increase of the intersection number in regions farther away from the soma at DIV17 as well as the decreased dendritic lengths might be indications for this. However, Vav2 does not prevent an overextension of dendrites at DIV12. For this reason it is necessary to define the expression levels of Vav2 also in vitro. Furthermore, there is a great number of GEFs which could be upregulated and compensate the lack of Vav3 explaining the mild phenotype. Here members of the ArhGEF family could play an important role. Recent studies unraveled that especially ArhGEF1 and ArhGEF2 are highly involved in the regulation of the dendritic development as activators of RhoA (Xiang et al., 2016, 2017; Zhou et al., 2021). Other potential candidates are Ephexins as well as Trio which have important regulatory functions for the dendritogenesis (Wu et al., 2007; Iyer et al., 2012). In addition, lowered activities of Rac-1 or Cdc42 could be further explanations for the observed effects. Studies utilizing dominant negative forms of Rac-1 or knockdowns revealed only mild changes for the dendrite complexity but a progressive elimination of dendritic spines in hippocampal neurons (Nakayama et al., 2000; Gualdoni et al., 2007). Therefore, a lowered Rac-1 activity as consequence of the Vav3 knockout might not primarily affect the dendritic complexity but rather the spine number and stability. Furthermore, studies could show that a reduced or lacking Cdc42 activity induced the formation of more dendritic branches but impaired the stability of dendritic spines and synapses (Wegner et al., 2008; Schulz et al., 2016). Here, also a reduced Cdc42 activity induced by the lack of Vav3 might explain the slightly increased intersection number of Vav3-deficient neurons after 17 days in vitro. Since Rac1 and Cdc42 play an important role for the formation and stability of dendritic spines it would be of great interest to analyze the dendrite number and morphology in Vav3–/– neurons.

Vav3–/– Astrocytes Promote the Dendritic Development of Wildtype Neurons and Show an Altered Cytokine Profile With Increased CCL5 Levels, Reduced IL-6 Levels and a Lack of CXCL11

The most prominent effect could be observed when wildtype neurons were co-cultured with Vav3–/– astrocytes (Figures 2E,G, 3E,G). Here, wildtype neurons developed significantly longer dendrites and higher branched dendritic trees than neurons cultured with wildtype astrocytes. To determine how Vav3–/– astrocytes enhance the elongation and branching of dendrites a RT-PCR analysis for different neurotrophic factors as well as a cytokine array with conditioned media of wildtype and knockout astrocytes was performed (Figures 4, 5). It is well known that astrocytes secrete a variety of neurotrophic factors and promote therefore the neurite growth as well as the synaptogenesis (Müller et al., 1995; Clarke and Barres, 2013). NT-3 is one of these secreted factors and acts through the tropomyosin receptor kinase C (TrkC) promoting the outgrowth, branching and elongation of neurites (Rudge et al., 1992; Morfini et al., 1994; Labelle and Leclerc, 2000; Mele et al., 2010). The RT-PCR analysis revealed significantly raised expression levels of NT-3 in Vav3–/– astrocytes (Figure 4C). For further analysis we focused on the NT-3 protein levels in the conditioned supernatants of wildtype and Vav3–/– astrocytes. Surprisingly, very low signal intensities could be observed for NT-3 when the ELISA was performed (Supplementary Figure 1). We suspect that the conditioning period of 24 h possibly was too short. A longer conditioning time might lead to a higher accumulation of NT-3 in the supernatant which should be better detectable. Nevertheless, if Vav3–/– astrocytes would secrete significantly higher amounts of NT-3 differences between wildtype and knockout astrocytes should be seen, also after a short conditioning time. Therefore, it is questionable if NT-3 is responsible for the enhanced dendrite development observed in our experiments. TSP-1 is another astrocytic factor which is highly involved in synapse formation via integrin α3β1 signaling (O’Shea et al., 1991; Osterhout et al., 1992; DeFreitas et al., 1995; Christopherson et al., 2005). The RT-PCR analysis revealed significantly raised expression levels of TSP-1 in Vav3–/– astrocytes (Figure 4D). Since TSP-1 plays an important role for the synapse formation it would be interesting to analyze the influence of Vav3–/– astrocytes on native neurons rather in the context of structural synapse numbers than in the context of dendrite development. Future studies might utilize the indirect co-culture system for this purpose and focus on the expression of synaptic proteins. Surprisingly, the expression of the transcript variant 1 of NGF was reduced in the RT-PCR analysis (Figure 4F). NGF normally acts as a strong promoter of the neurite outgrowth by activating the tropomyosin receptor kinase A (TrkC). Therefore, a reduced expression level of NGF should impair the dendrite elongation. Since this was not the case in our morphological analysis, we assume that increased levels of other secreted factors might dominate the lowered NGF levels and shift the dendrites toward extensions and branching mechanisms.

In addition to neurotrophic factors, astrocytes are able to express and secrete different cytokines and chemokines as previously described for humans and rodents (Wiese et al., 2012; Choi et al., 2014). A comparison between the cytokine patterns of wildtype and Vav3–/– astrocytes revealed mainly three aberrances in the knockout condition: A complete lack of CXCL-11 which is also referred to as Interferon-inducible T-cell alpha chemoattractant (I-TAC), a significant reduction of IL-6 and a significant increase of CCL5 (Figures 5A,B,D,I,O). The most interesting candidate for the enhanced dendritic elongation and branching, is CCL5, also known as Regulated on Activation Normal T-cell Expressed and Secreted (RANTES). A recently published study could show that the treatment of hippocampal neurons with CCL5 activated the PI3K/Akt signaling pathway, which is an important pathway for the neurite outgrowth and elongation (Ajoy et al., 2021). Interestingly, this study could also show that an overexpression of CCL5 promotes the aerobic glucose metabolism, ATP synthesis, synapse formation, and enhances the memory in mice (Ajoy et al., 2021). Furthermore, in a Huntingtin model, the conditioned medium of primary astrocytes contained significantly lower levels of CCL5 and the treatment of cortical neurons induced a reduction of the neurite length and branching (Chou et al., 2008). Therefore, CCL5 is discussed to be a promising neurotrophic factor and could already show beneficial effects in a recently published optic nerve regeneration study (Xie et al., 2021). As previously mentioned, Vav3–/– astrocytes showed a lack of CXCL11. Since there are no data about the influence of CXCL11 on the dendritic development of neurons, it is difficult to speculate about the consequences of a CXCL11 lack in our co-cultures. A previously published study could observe that CXCL11 induces the death of dopaminergic neurons in midbrain neuron-glia mixed cultures but not in enriched neuronal cultures, indicating an indirect toxic effect on neurons (Chien et al., 2016). Furthermore, it is known that CXCL11 acts through the binding to CXCR3, a Gα-protein-coupled receptor. An activation of CXCR3 with CXCL10 which acts similarly as CXCL11 was associated with an influx of Ca2+, the activation of caspases and apoptosis (Sui et al., 2006). Contrary, an inhibition of CXCR3 unraveled positive effects for the neuronal survival in different disease models (Zhang et al., 2010; van Weering et al., 2011). A lack of CXCL11 might therefore induce neuroprotective effects and enhance the development of neurites, however, further studies are necessary to shed light on the influence of CXCL11 on dendritic parameters. Last, the IL-6 levels were significantly lower in the conditioned medium of Vav3–/– astrocytes. Here, a study on cultured hippocampal neurons revealed that a treatment with increasing levels of IL-6 increased the length of secondary neurites (Sarder et al., 1996). However, the number of branch points of the primary dendrite per neuron remained unaltered and a detailed number about clearly defined dendritic branches is not given. Another study revealed that high levels IL-6 inhibit the dendrite growth and branching in primary cortical cultures (Gilmore et al., 2004). A reduced secretion of IL-6 might therefore rather enhance the dendritic development. The graphical abstract (Figure 7) summarizes a suggestion how the knockout of Vav3 in astrocytes might affect dendritic parameters of neurons.

FIGURE 7
www.frontiersin.org

Figure 7. The graphical abstract depicts that Vav3–/– astrocytes promote the branching and the elongation of dendrites on wildtype neurons in an indirect co-culture system. Knockout astrocytes show a higher secretion of the chemokine CCL5 which has a neurotropic potential. Contrary, the pro-inflammatory cytokine IL-6 is released in lower amounts. In contrast to wildtype astrocytes, Vav3–/– astrocytes do not release CXCL11. On mRNA level Vav3–/– astrocytes express more NT-3 and TSP-1.

A Lack of Vav3 Promotes the Regeneration of Astrocytes in the Scratch Wound Healing Assay

One remaining question is how a deficiency of Vav3 induces an altered profile of released chemokines and cytokines. A possible explanation might be that a reduced activity of RhoA which is the main target of Vav3 alters the reactivity state of cultured astrocytes. Here, a previously published study could already show that a treatment of primary astrocytes with metallothionein induced a reactive state of astrocytes with a significantly reduced activity level of RhoA which, however, had beneficial effects for the neurite outgrowth of neurons (Leung et al., 2010). Another hint for an altered reactive state of Vav3–/– astrocytes is the enhanced wound closure observed in the scratch assay of this study (Figures 6A–H). Here, Vav3–/– astrocytes showed a faster closure of the scratch area in comparison to wildtype astrocytes. Interestingly, it has been shown that a conditional knockout of Stat3 induced a higher activity level of RhoA which consequently led to a reduced migration of cultured astrocytes (Renault-Mihara and Okano, 2017; Renault-Mihara et al., 2017). The authors of this publication argue that the raised RhoA activity increases the actomyosin tone and reduces focal adhesion dynamics leading to a reduced migration speed of cultured astrocytes (Renault-Mihara and Okano, 2017; Renault-Mihara et al., 2017). Similar observations were made when Thy-1 receptor interactions were prolonged and induced an inhibition of RhoA, FAK, PI3K and Rac1 was activated and led to a higher migration behavior of astrocytes (Kong et al., 2013). A lowered RhoA activity could therefore reduce the actomyosin tone and increase focal adhesions inducing a higher migration speed, as observed in the scratch wound healing assay. The alterations of RhoA and of the cytoskeleton might furthermore induce the secretion of an altered chemokine/cytokine pattern.

Conclusion

In conclusion, we could demonstrate as the first that a lack of the guanine nucleotide exchange factor Vav3 in astrocytes changes the pattern of released cytokines, chemokines and neurotrophic factors and enhance the outgrowth as well as the branching of dendrites in primary hippocampal neurons. The altered release of astrocytic factors is accompanied by a higher migration speed in a scratch wound healing assay. This observations might be used in order develop therapeutical strategies which target the astrocytic Vav3 and induce beneficial effects for neuroprotective or regenerative mechanisms in the CNS.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The animal study was reviewed and approved by the Landesamt für Umweltschutz, Naturschutz und Verbraucherschutz, North Rhine-Westphalia, D-45659 Recklinghausen, Germany.

Author Contributions

AF designed the study and supervised the study. JZ and DW performed the experiments and quantified as well as interpreted the data. DW drafted the manuscript. AF and JZ revised the manuscript. All authors contributed to the article and approved the submitted version.

Funding

This work was funded by the German Research Foundation (DFG, FA 159/22-1 to AF) and the SFB 642/TPA24. We acknowledge support from the DFG Open Access Publication Funds of the Ruhr-Universität Bochum.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fncel.2021.817277/full#supplementary-material

Supplementary Figure 1 | (A) ELISA standard curve for the determination of NT3 in the supernatant of wildtype and Vav3–/– astrocytes after a conditioning time of 24 h. (B) The mean OD450 values of the analyzed wildtype and knockout probes revealed exceedingly low levels of NT3 in the supernatants which, furthermore, did not differ between both analyzed conditions.

References

Ahnert-Hilger, G., Höltje, M., Grosse, G., Pickert, G., Mucke, C., Nixdorf-Bergweiler, B., et al. (2004). Differential effects of Rho GTPases on axonal and dendritic development in hippocampal neurones. J. Neurochem. 90, 9–18. doi: 10.1111/j.1471-4159.2004.02475.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Ajoy, R., Lo, Y.-C., Ho, M.-H., Chen, Y.-Y., Wang, Y., Chen, Y.-H., et al. (2021). CCL5 promotion of bioenergy metabolism is crucial for hippocampal synapse complex and memory formation. Mol. Psychiatry 26, 6451–6468. doi: 10.1038/s41380-021-01103-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Aleksic, B., Kushima, I., Hashimoto, R., Ohi, K., Ikeda, M., Yoshimi, A., et al. (2013). Analysis of the VAV3 as candidate gene for schizophrenia: evidences from voxel-based morphometry and mutation screening. Schizophr. Bull. 39, 720–728. doi: 10.1093/schbul/sbs038

PubMed Abstract | CrossRef Full Text | Google Scholar

Aoki, K., Nakamura, T., Fujikawa, K., and Matsuda, M. (2005). Local phosphatidylinositol 3,4,5-trisphosphate accumulation recruits Vav2 and Vav3 to activate Rac1/Cdc42 and initiate neurite outgrowth in nerve growth factor-stimulated PC12 cells. Mol. Biol. Cell 16, 2207–2217. doi: 10.1091/mbc.e04-10-0904

PubMed Abstract | CrossRef Full Text | Google Scholar

Bardehle, S., Krüger, M., Buggenthin, F., Schwausch, J., Ninkovic, J., Clevers, H., et al. (2013). Live imaging of astrocyte responses to acute injury reveals selective juxtavascular proliferation. Nat. Neurosci. 16, 580–586. doi: 10.1038/nn.3371

PubMed Abstract | CrossRef Full Text | Google Scholar

Bartelt-Kirbach, B., Moron, M., Glomb, M., Beck, C.-M., Weller, M.-P., and Golenhofen, N. (2016). HspB5/αB-crystallin increases dendritic complexity and protects the dendritic arbor during heat shock in cultured rat hippocampal neurons. Cell Mol. Life. Sci. 73, 3761–3775. doi: 10.1007/s00018-016-2219-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Ben Haim, L., and Rowitch, D. H. (2017). Functional diversity of astrocytes in neural circuit regulation. Nat. Rev. Neurosci. 18, 31–41. doi: 10.1038/nrn.2016.159

PubMed Abstract | CrossRef Full Text | Google Scholar

Bernardinelli, Y., Muller, D., and Nikonenko, I. (2014). Astrocyte-synapse structural plasticity. Neural Plast. 2014:232105. doi: 10.1155/2014/232105

PubMed Abstract | CrossRef Full Text | Google Scholar

Bond, A. M., Berg, D. A., Lee, S., Garcia-Epelboim, A. S., Adusumilli, V. S., Ming, G.-L., et al. (2020). Differential timing and coordination of neurogenesis and astrogenesis in developing mouse hippocampal subregions. Brain Sci. 10:909. doi: 10.3390/brainsci10120909

PubMed Abstract | CrossRef Full Text | Google Scholar

Caceres, A., Banker, G., Steward, O., Binder, L., and Payne, M. (1984). MAP2 is localized to the dendrites of hippocampal neurons which develop in culture. Brain Res. 315, 314–318. doi: 10.1016/0165-3806(84)90167-6

CrossRef Full Text | Google Scholar

Chien, C.-H., Lee, M.-J., Liou, H.-C., Liou, H.-H., and Fu, W.-M. (2016). Microglia-Derived Cytokines/Chemokines are involved in the enhancement of LPS-Induced loss of nigrostriatal dopaminergic neurons in DJ-1 knockout mice. PLoS One 11:e0151569. doi: 10.1371/journal.pone.0151569

PubMed Abstract | CrossRef Full Text | Google Scholar

Choi, S. S., Lee, H. J., Lim, I., Satoh, J., and Kim, S. U. (2014). Human astrocytes: secretome profiles of cytokines and chemokines. PLoS One 9:e92325. doi: 10.1371/journal.pone.0092325

PubMed Abstract | CrossRef Full Text | Google Scholar

Chou, S.-Y., Weng, J.-Y., Lai, H.-L., Liao, F., Sun, S. H., Tu, P.-H., et al. (2008). Expanded-polyglutamine huntingtin protein suppresses the secretion and production of a chemokine (CCL5/RANTES) by astrocytes. J. Neurosci. 28, 3277–3290. doi: 10.1523/JNEUROSCI.0116-08.2008

PubMed Abstract | CrossRef Full Text | Google Scholar

Christopherson, K. S., Ullian, E. M., Stokes, C. C. A., Mullowney, C. E., Hell, J. W., Agah, A., et al. (2005). Thrombospondins are astrocyte-secreted proteins that promote CNS synaptogenesis. Cell 120, 421–433. doi: 10.1016/j.cell.2004.12.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Clarke, L. E., and Barres, B. A. (2013). Emerging roles of astrocytes in neural circuit development. Nat. Rev. Neurosci. 14, 311–321. doi: 10.1038/nrn3484

PubMed Abstract | CrossRef Full Text | Google Scholar

Cowan, C. W., Shao, Y. R., Sahin, M., Shamah, S. M., Lin, M. Z., Greer, P. L., et al. (2005). Vav family GEFs link activated Ephs to endocytosis and axon guidance. Neuron 46, 205–217. doi: 10.1016/j.neuron.2005.03.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Czaniecki, C., Ryan, T., Stykel, M. G., Drolet, J., Heide, J., Hallam, R., et al. (2019). Axonal pathology in hPSC-based models of Parkinson’s disease results from loss of Nrf2 transcriptional activity at the Map1b gene locus. Proc. Natl. Acad. Sci. U S A. 116, 14280–14289. doi: 10.1073/pnas.1900576116

PubMed Abstract | CrossRef Full Text | Google Scholar

DeFreitas, M. F., Yoshida, C. K., Frazier, W. A., Mendrick, D. L., Kypta, R. M., and Reichardt, L. F. (1995). Identification of integrin alpha 3 beta 1 as a neuronal thrombospondin receptor mediating neurite outgrowth. Neuron 15, 333–343. doi: 10.1016/0896-6273(95)90038-1

CrossRef Full Text | Google Scholar

Deitmer, J. W., Theparambil, S. M., Ruminot, I., Noor, S. I., and Becker, H. M. (2019). Energy dynamics in the brain: contributions of astrocytes to metabolism and pH homeostasis. Front. Neurosci. 13:1301. doi: 10.3389/fnins.2019.01301

PubMed Abstract | CrossRef Full Text | Google Scholar

Etienne-Manneville, S. (2006). In vitro assay of primary astrocyte migration as a tool to study Rho GTPase function in cell polarization. Methods Enzymol. 406, 565–578. doi: 10.1016/S0076-6879(06)06044-7

CrossRef Full Text | Google Scholar

Faissner, A., Pyka, M., Geissler, M., Sobik, T., Frischknecht, R., Gundelfinger, E. D., et al. (2010). Contributions of astrocytes to synapse formation and maturation - potential functions of the perisynaptic extracellular matrix. Brain Res. Rev. 63, 26–38. doi: 10.1016/j.brainresrev.2010.01.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Ferreira, T. A., Blackman, A. V., Oyrer, J., Jayabal, S., Chung, A. J., Watt, A. J., et al. (2014). Neuronal morphometry directly from bitmap images. Nat. Methods 11, 982–984. doi: 10.1038/nmeth.3125

PubMed Abstract | CrossRef Full Text | Google Scholar

Fujikawa, K., Inoue, Y., Sakai, M., Koyama, Y., Nishi, S., Funada, R., et al. (2002). Vav3 is regulated during the cell cycle and effects cell division. Proc. Natl. Acad. Sci. U S A. 99, 4313–4318. doi: 10.1073/pnas.052715699

PubMed Abstract | CrossRef Full Text | Google Scholar

Geissler, M., and Faissner, A. (2012). A new indirect co-culture set up of mouse hippocampal neurons and cortical astrocytes on microelectrode arrays. J. Neurosci. Methods 204, 262–272. doi: 10.1016/j.jneumeth.2011.11.030

PubMed Abstract | CrossRef Full Text | Google Scholar

Gilmore, J. H., Fredrik Jarskog, L., Vadlamudi, S., and Lauder, J. M. (2004). Prenatal infection and risk for schizophrenia: IL-1beta, IL-6, and TNFalpha inhibit cortical neuron dendrite development. Neuropsychopharmacology 29, 1221–1229. doi: 10.1038/sj.npp.1300446

PubMed Abstract | CrossRef Full Text | Google Scholar

Gottschling, C., Dzyubenko, E., Geissler, M., and Faissner, A. (2016). The indirect neuron-astrocyte coculture assay: an in vitro set-up for the detailed investigation of neuron-glia interactions. J. Vis. Exp. 14:54757. doi: 10.3791/54757

PubMed Abstract | CrossRef Full Text | Google Scholar

Gualdoni, S., Albertinazzi, C., Corbetta, S., Valtorta, F., and de Curtis, I. (2007). Normal levels of Rac1 are important for dendritic but not axonal development in hippocampal neurons. Biol. Cell 99, 455–464. doi: 10.1042/BC20060119

PubMed Abstract | CrossRef Full Text | Google Scholar

Henneberger, C., Papouin, T., Oliet, S. H. R., and Rusakov, D. A. (2010). Long-term potentiation depends on release of D-serine from astrocytes. Nature 463, 232–236. doi: 10.1038/nature08673

PubMed Abstract | CrossRef Full Text | Google Scholar

Höltje, M., Hoffmann, A., Hofmann, F., Mucke, C., Grosse, G., van Rooijen, N., et al. (2005). Role of Rho GTPase in astrocyte morphology and migratory response during in vitro wound healing. J. Neurochem. 95, 1237–1248. doi: 10.1111/j.1471-4159.2005.03443.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, W., Zhou, Z., Asrar, S., Henkelman, M., Xie, W., and Jia, Z. (2011). p21-Activated kinases 1 and 3 control brain size through coordinating neuronal complexity and synaptic properties. Mol. Cell. Biol. 31, 388–403. doi: 10.1128/MCB.00969-10

PubMed Abstract | CrossRef Full Text | Google Scholar

Iyer, S. C., Wang, D., Iyer, E. P. R., Trunnell, S. A., Meduri, R., Shinwari, R., et al. (2012). The RhoGEF trio functions in sculpting class specific dendrite morphogenesis in Drosophila sensory neurons. PLoS One 7:e33634. doi: 10.1371/journal.pone.0033634

PubMed Abstract | CrossRef Full Text | Google Scholar

Jacobs, S., Cheng, C., and Doering, L. C. (2016). Hippocampal neuronal subtypes develop abnormal dendritic arbors in the presence of Fragile X astrocytes. Neuroscience 324, 202–217. doi: 10.1016/j.neuroscience.2016.03.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Janzer, R. C., and Raff, M. C. (1987). Astrocytes induce blood-brain barrier properties in endothelial cells. Nature 325, 253–257. doi: 10.1038/325253a0

PubMed Abstract | CrossRef Full Text | Google Scholar

Jourdain, P., Bergersen, L. H., Bhaukaurally, K., Bezzi, P., Santello, M., Domercq, M., et al. (2007). Glutamate exocytosis from astrocytes controls synaptic strength. Nat. Neurosci. 10, 331–339. doi: 10.1038/nn1849

PubMed Abstract | CrossRef Full Text | Google Scholar

Khodosevich, K., Seeburg, P. H., and Monyer, H. (2009). Major signaling pathways in migrating neuroblasts. Front. Mol. Neurosci. 2:7. doi: 10.3389/neuro.02.007

CrossRef Full Text | Google Scholar

Kong, M., Muñoz, N., Valdivia, A., Alvarez, A., Herrera-Molina, R., Cárdenas, A., et al. (2013). Thy-1-mediated cell-cell contact induces astrocyte migration through the engagement of αVβ3 integrin and syndecan-4. Biochim. Biophys. Acta 1833, 1409–1420. doi: 10.1016/j.bbamcr.2013.02.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Labelle, C., and Leclerc, N. (2000). Exogenous BDNF, NT-3 and NT-4 differentially regulate neurite outgrowth in cultured hippocampal neurons. Brain Res. Dev. Brain Res. 123, 1–11. doi: 10.1016/s0165-3806(00)00069-9

CrossRef Full Text | Google Scholar

Lee, T., Winter, C., Marticke, S. S., Lee, A., and Luo, L. (2000). Essential roles of Drosophila RhoA in the regulation of neuroblast proliferation and dendritic but not axonal morphogenesis. Neuron 25, 307–316. doi: 10.1016/s0896-6273(00)80896-x

CrossRef Full Text | Google Scholar

Leung, Y. K. J., Pankhurst, M., Dunlop, S. A., Ray, S., Dittmann, J., Eaton, E. D., et al. (2010). Metallothionein induces a regenerative reactive astrocyte phenotype via JAK/STAT and RhoA signalling pathways. Exp. Neurol. 221, 98–106. doi: 10.1016/j.expneurol.2009.10.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Liao, R., Jiang, L., Wang, R., Zhao, H., Chen, Y., Li, Y., et al. (2015). Histidine provides long-term neuroprotection after cerebral ischemia through promoting astrocyte migration. Sci. Rep. 5:15356. doi: 10.1038/srep15356

PubMed Abstract | CrossRef Full Text | Google Scholar

Luft, V., Reinhard, J., Shibuya, M., Fischer, K. D., and Faissner, A. (2015). The guanine nucleotide exchange factor Vav3 regulates differentiation of progenitor cells in the developing mouse retina. Cell Tissue Res. 359, 423–440. doi: 10.1007/s00441-014-2050-2

PubMed Abstract | CrossRef Full Text | Google Scholar

McCarthy, K. D., and de Vellis, J. (1980). Preparation of separate astroglial and oligodendroglial cell cultures from rat cerebral tissue. J. Cell Biol. 85, 890–902. doi: 10.1083/jcb.85.3.890

PubMed Abstract | CrossRef Full Text | Google Scholar

Mele, T., Carman-Krzan, M., and Juric, D. M. (2010). Regulatory role of monoamine neurotransmitters in astrocytic NT-3 synthesis. Int. J. Dev. Neurosci. 28, 13–19. doi: 10.1016/j.ijdevneu.2009.10.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Moon, M., and Gomez, T. M. (2010). Balanced Vav2 GEF activity regulates neurite outgrowth and branching in vitro and in vivo. Mol. Cell. Neurosci. 44, 118–128. doi: 10.1016/j.mcn.2010.03.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Morfini, G., DiTella, M. C., Feiguin, F., Carri, N., and Cáceres, A. (1994). Neurotrophin-3 enhances neurite outgrowth in cultured hippocampal pyramidal neurons. J. Neurosci. Res. 39, 219–232. doi: 10.1002/jnr.490390212

PubMed Abstract | CrossRef Full Text | Google Scholar

Movilla, N., and Bustelo, X. R. (1999). Biological and regulatory properties of Vav-3, a new member of the Vav family of oncoproteins. Mol. Cell. Biol. 19, 7870–7885. doi: 10.1128/MCB.19.11.7870

PubMed Abstract | CrossRef Full Text | Google Scholar

Movilla, N., Dosil, M., Zheng, Y., and Bustelo, X. R. (2001). How Vav proteins discriminate the GTPases Rac1 and RhoA from Cdc42. Oncogene 20, 8057–8065. doi: 10.1038/sj.onc.1205000

PubMed Abstract | CrossRef Full Text | Google Scholar

Müller, H. W., Junghans, U., and Kappler, J. (1995). Astroglial neurotrophic and neurite-promoting factors. Pharmacol. Ther. 65, 1–18. doi: 10.1016/0163-7258(94)00047-7

CrossRef Full Text | Google Scholar

Nakayama, A. Y., Harms, M. B., and Luo, L. (2000). Small GTPases Rac and Rho in the maintenance of dendritic spines and branches in hippocampal pyramidal neurons. J. Neurosci. 20, 5329–5338. doi: 10.1523/JNEUROSCI.20-14-05329.2000

PubMed Abstract | CrossRef Full Text | Google Scholar

Nishida, H., and Okabe, S. (2007). Direct astrocytic contacts regulate local maturation of dendritic spines. J. Neurosci. 27, 331–340. doi: 10.1523/JNEUROSCI.4466-06.2007

PubMed Abstract | CrossRef Full Text | Google Scholar

Norenberg, M. D., and Martinez-Hernandez, A. (1979). Fine structural localization of glutamine synthetase in astrocytes of rat brain. Brain Res. 161, 303–310. doi: 10.1016/0006-8993(79)90071-4

CrossRef Full Text | Google Scholar

O’Shea, K. S., Liu, L. H., and Dixit, V. M. (1991). Thrombospondin and a 140 kd fragment promote adhesion and neurite outgrowth from embryonic central and peripheral neurons and from PC12 cells. Neuron 7, 231–237. doi: 10.1016/0896-6273(91)90261-w

CrossRef Full Text | Google Scholar

Osterhout, D. J., Frazier, W. A., and Higgins, D. (1992). Thrombospondin promotes process outgrowth in neurons from the peripheral and central nervous systems. Dev. Biol. 150, 256–265. doi: 10.1016/0012-1606(92)90240-h

CrossRef Full Text | Google Scholar

Panatier, A., Theodosis, D. T., Mothet, J.-P., Touquet, B., Pollegioni, L., Poulain, D. A., et al. (2006). Glia-derived D-serine controls NMDA receptor activity and synaptic memory. Cell 125, 775–784. doi: 10.1016/j.cell.2006.02.051

PubMed Abstract | CrossRef Full Text | Google Scholar

Perea, G., Navarrete, M., and Araque, A. (2009). Tripartite synapses: astrocytes process and control synaptic information. Trends Neurosci. 32, 421–431. doi: 10.1016/j.tins.2009.05.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Quevedo, C., Sauzeau, V., Menacho-Márquez, M., Castro-Castro, A., and Bustelo, X. R. (2010). Vav3-deficient mice exhibit a transient delay in cerebellar development. Mol. Biol. Cell 21, 1125–1139. doi: 10.1091/mbc.e09-04-0292

PubMed Abstract | CrossRef Full Text | Google Scholar

Racchetti, G., D’Alessandro, R., and Meldolesi, J. (2012). Astrocyte stellation, a process dependent on Rac1 is sustained by the regulated exocytosis of enlargeosomes. Glia 60, 465–475. doi: 10.1002/glia.22280

PubMed Abstract | CrossRef Full Text | Google Scholar

Renault-Mihara, F., and Okano, H. (2017). STAT3-regulated RhoA drives reactive astrocyte dynamics. Cell Cycle 16, 1995–1996. doi: 10.1080/15384101.2017.1377032

PubMed Abstract | CrossRef Full Text | Google Scholar

Renault-Mihara, F., Mukaino, M., Shinozaki, M., Kumamaru, H., Kawase, S., Baudoux, M., et al. (2017). Regulation of RhoA by STAT3 coordinates glial scar formation. J. Cell Biol. 216, 2533–2550. doi: 10.1083/jcb.201610102

PubMed Abstract | CrossRef Full Text | Google Scholar

Robel, S., Bardehle, S., Lepier, A., Brakebusch, C., and Götz, M. (2011). Genetic deletion of cdc42 reveals a crucial role for astrocyte recruitment to the injury site in vitro and in vivo. J. Neurosci. 31, 12471–12482. doi: 10.1523/JNEUROSCI.2696-11.2011

PubMed Abstract | CrossRef Full Text | Google Scholar

Rossman, K. L., Der, C. J., and Sondek, J. (2005). GEF means go: turning on RHO GTPases with guanine nucleotide-exchange factors. Nat. Rev. Mol. Cell Biol. 6, 167–180. doi: 10.1038/nrm1587

PubMed Abstract | CrossRef Full Text | Google Scholar

Rudge, J. S., Alderson, R. F., Pasnikowski, E., McClain, J., Ip, N. Y., and Lindsay, R. M. (1992). Expression of ciliary neurotrophic factor and the neurotrophins-nerve growth factor, brain-derived neurotrophic factor and neurotrophin 3-in cultured rat hippocampal astrocytes. Eur. J. Neurosci. 4, 459–471. doi: 10.1111/j.1460-9568.1992.tb00896.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Sarder, M., Abe, K., Saito, H., and Nishiyama, N. (1996). Comparative effect of IL-2 and IL-6 on morphology of cultured hippocampal neurons from fetal rat brain. Brain Res. 715, 9–16. doi: 10.1016/0006-8993(95)01291-5

CrossRef Full Text | Google Scholar

Sauzeau, V., Horta-Junior, J. A. C., Riolobos, A. S., Fernández, G., Sevilla, M. A., López, D. E., et al. (2010). Vav3 is involved in GABAergic axon guidance events important for the proper function of brainstem neurons controlling cardiovascular, respiratory, and renal parameters. Mol. Biol. Cell 21, 4251–4263. doi: 10.1091/mbc.E10-07-0639

PubMed Abstract | CrossRef Full Text | Google Scholar

Schulz, J., Franke, K., Frick, M., and Schumacher, S. (2016). Different roles of the small GTPases Rac1, Cdc42, and RhoG in CALEB/NGC-induced dendritic tree complexity. J. Neurochem. 139, 26–39. doi: 10.1111/jnc.13735

PubMed Abstract | CrossRef Full Text | Google Scholar

Scott, E. K., Reuter, J. E., and Luo, L. (2003). Small GTPase Cdc42 is required for multiple aspects of dendritic morphogenesis. J. Neurosci. 23, 3118–3123. doi: 10.1523/JNEUROSCI.23-08-03118.2003

PubMed Abstract | CrossRef Full Text | Google Scholar

Sholl, D. A. (1953). Dendritic organization in the neurons of the visual and motor cortices of the cat. J. Anat. 87, 387–406.

PubMed Abstract | Google Scholar

Sui, Y., Stehno-Bittel, L., Li, S., Loganathan, R., Dhillon, N. K., Pinson, D., et al. (2006). CXCL10-induced cell death in neurons: role of calcium dysregulation. Eur. J. Neurosci. 23, 957–964. doi: 10.1111/j.1460-9568.2006.04631.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Tapon, N., and Hall, A. (1997). Rho, Rac and Cdc42 GTPases regulate the organization of the actin cytoskeleton. Curr. Opin. Cell Biol. 9, 86–92. doi: 10.1016/s0955-0674(97)80156-1

CrossRef Full Text | Google Scholar

Turner, M., and Billadeau, D. D. (2002). VAV proteins as signal integrators for multi-subunit immune-recognition receptors. Nat. Rev. Immunol. 2, 476–486. doi: 10.1038/nri840

PubMed Abstract | CrossRef Full Text | Google Scholar

Ulc, A., Gottschling, C., Schäfer, I., Wegrzyn, D., van Leeuwen, S., Luft, V., et al. (2017). Involvement of the guanine nucleotide exchange factor Vav3 in central nervous system development and plasticity. Biol. Chem. 398, 663–675. doi: 10.1515/hsz-2016-0275

PubMed Abstract | CrossRef Full Text | Google Scholar

Ulc, A., Zeug, A., Bauch, J., van Leeuwen, S., Kuhlmann, T., Ffrench-Constant, C., et al. (2019). The guanine nucleotide exchange factor Vav3 modulates oligodendrocyte precursor differentiation and supports remyelination in white matter lesions. Glia 67, 376–392. doi: 10.1002/glia.23548

PubMed Abstract | CrossRef Full Text | Google Scholar

van Weering, H. R. J., Boddeke, H. W. G. M., Vinet, J., Brouwer, N., Haas, A. H., de, et al. (2011). CXCL10/CXCR3 signaling in glia cells differentially affects NMDA-induced cell death in CA and DG neurons of the mouse hippocampus. Hippocampus 21, 220–232. doi: 10.1002/hipo.20742

PubMed Abstract | CrossRef Full Text | Google Scholar

Wegner, A. M., Nebhan, C. A., Hu, L., Majumdar, D., Meier, K. M., Weaver, A. M., et al. (2008). N-wasp and the arp2/3 complex are critical regulators of actin in the development of dendritic spines and synapses. J. Biol. Chem. 283, 15912–15920. doi: 10.1074/jbc.M801555200

PubMed Abstract | CrossRef Full Text | Google Scholar

Wegrzyn, D., Wegrzyn, C., Tedford, K., Fischer, K.-D., and Faissner, A. (2020). Deletion of the nucleotide exchange factor Vav3 enhances axonal complexity and synapse formation but tampers activity of hippocampal neuronal networks in vitro. Int. J. Mol. Sci. 21:856. doi: 10.3390/ijms21030856

PubMed Abstract | CrossRef Full Text | Google Scholar

Wiese, S., Karus, M., and Faissner, A. (2012). Astrocytes as a source for extracellular matrix molecules and cytokines. Front. Pharmacol. 3:120. doi: 10.3389/fphar.2012.00120

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, J. I., Lessard, J., Olave, I. A., Qiu, Z., Ghosh, A., Graef, I. A., et al. (2007). Regulation of dendritic development by neuron-specific chromatin remodeling complexes. Neuron 56, 94–108. doi: 10.1016/j.neuron.2007.08.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Xiang, X., Li, S., Zhuang, X., and Shi, L. (2016). Arhgef1 negatively regulates neurite outgrowth through activation of RhoA signaling pathways. FEBS Lett. 590, 2940–2955. doi: 10.1002/1873-3468.12339

PubMed Abstract | CrossRef Full Text | Google Scholar

Xiang, X., Zhuang, X., Li, S., and Shi, L. (2017). Arhgef1 is expressed in cortical neural progenitor cells and regulates neurite outgrowth of newly differentiated neurons. Neurosci. Lett. 638, 27–34. doi: 10.1016/j.neulet.2016.11.067

PubMed Abstract | CrossRef Full Text | Google Scholar

Xie, L., Yin, Y., and Benowitz, L. (2021). Chemokine CCL5 promotes robust optic nerve regeneration and mediates many of the effects of CNTF gene therapy. Proc. Natl. Acad. Sci. U S A. 118, e2017282118. doi: 10.1073/pnas.2017282118

PubMed Abstract | CrossRef Full Text | Google Scholar

Zeug, A., Müller, F. E., Anders, S., Herde, M. K., Minge, D., Ponimaskin, E., et al. (2018). Control of astrocyte morphology by Rho GTPases. Brain Res. Bull. 136, 44–53. doi: 10.1016/j.brainresbull.2017.05.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, B., Patel, J., Croyle, M., Diamond, M. S., and Klein, R. S. (2010). TNF-alpha-dependent regulation of CXCR3 expression modulates neuronal survival during West Nile virus encephalitis. J. Neuroimmunol. 224, 28–38. doi: 10.1016/j.jneuroim.2010.05.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, J., Wang, H., Ye, C., Ge, W., Chen, Y., Jiang, Z., et al. (2003). ATP released by astrocytes mediates glutamatergic activity-dependent heterosynaptic suppression. Neuron 40, 971–982. doi: 10.1016/s0896-6273(03)00717-7

CrossRef Full Text | Google Scholar

Zhou, P., Qi, Y., Fang, X., Yang, M., Zheng, S., Liao, C., et al. (2021). Arhgef2 regulates neural differentiation in the cerebral cortex through mRNA m6A-methylation of Npdc1 and Cend1. iScience 24:102645. doi: 10.1016/j.isci.2021.102645

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: Vav3, Rho-GTPases, guanine nucleotide exchange factor, astrocytes, hippocampal neurons, neuron-astrocyte interaction, cytokines, CCL5

Citation: Wegrzyn D, Zokol J and Faissner A (2022) Vav3-Deficient Astrocytes Enhance the Dendritic Development of Hippocampal Neurons in an Indirect Co-culture System. Front. Cell. Neurosci. 15:817277. doi: 10.3389/fncel.2021.817277

Received: 17 November 2021; Accepted: 29 December 2021;
Published: 14 February 2022.

Edited by:

Renato Socodato, Institute for Molecular and Cellular Biology (IBMC), Portugal

Reviewed by:

Cecilia Beatriz Conde, Medical Research Institute Mercedes and Martín Ferreyra (INIMEC), Argentina
Marta Zagrebelsky, Technische Universitat Braunschweig, Germany

Copyright © 2022 Wegrzyn, Zokol and Faissner. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Andreas Faissner, andreas.faissner@rub.de

These authors share first authorship

Download