Abstract
The small G protein Rac regulates cytoskeletal protein dynamics in neuronal growth cones and has been implicated in axon growth, guidance, and branching. Intracellular Ca2+ is another well known regulator of growth cone function; however, effects of Rac activity on intracellular Ca2+ metabolism have not been well characterized. Here, we investigate how Rac1 activity affects release of Ca2+ from intracellular endoplasmic reticulum (ER) stores stimulated by application of serotonin (5-hydroxytriptamine). We also address how Rac1 effects on microtubule assembly dynamics affect distribution of Ca2+ release sites. Multimode fluorescent microscopy was used to correlate microtubule and ER behavior, and ratiometric imaging was used to assess intracellular Ca2+ dynamics. We report that Rac1 activity both promotes Ca2+ release and affects its spatial distribution in neuronal growth cones. The underlying mechanism involves synergistic Rac1 effects on microtubule assembly and reactive oxygen species (ROS) production. Rac1 activity modulates Ca2+ by 1) enhancing microtubule assembly which in turn promotes spread of the ER-based Ca2+ release machinery into the growth cone periphery, and 2) by increasing ROS production which facilitated inositol 1,4,5-trisphosphate-dependent Ca2+ release. These results cast Rac1 as a key modulator of intracellular Ca2+ function in the neuronal growth cone.
INTRODUCTION
The small G protein Rac plays a pivotal role in establishing cell polarity and controlling cell migration (Etienne- Manneville and Hall, 2002; Jaffe and Hall, 2005). Although Rac was initially characterized as a regulator of actin network assembly in lamellipodia of motile cells (Hall, 1998), later studies demonstrated that Rac has remarkable functional diversity. For example, Rac activation promotes microtubule assembly in epithelial cells (Wittmann et al., 2003, 2004) and the Rac activator DOCK7 inactivates the microtubule-destabilizing protein stathmin/Op18 in nascent axons (Watabe-Uchida et al., 2006). In addition, Rac is an essential component of NADPH oxidase complexes that produce reactive oxygen species (ROS) used for oxidative killing by phagocytes and for cellular signaling by nonmyeloid cells (Lambeth, 2004; Bedard and Krause, 2007). In neurons, genetic approaches suggest Rac is required for axon outgrowth, guidance, and branching (Luo, 2000; Guan and Rao, 2003); however, the underlying cell biological mechanisms are not yet well characterized.
Intracellular Ca2+ is another well known regulator of growth cone motility (Henley and Poo, 2004; Gomez and Zheng, 2006); however, Ca2+ effects on growth cone behavior seem to be pleiotropic. For example, in some cases Ca2+ increases induce growth cone collapse and inhibit neurite outgrowth (Cohan and Kater, 1986; Cohan et al., 1987; Mattson and Kater, 1987; Gomez et al., 1995, 2001; Gomez and Spitzer, 1999), but in others Ca2+ increases are correlated with filopodium protrusion and neurite elongation (Connor, 1986; Bedlack et al., 1992; Garyantes and Regehr, 1992; Lau et al., 1999; Cheng et al., 2002). Several lines of evidence indicate that Ca2+ regulates cytoskeletal function via Rac activation (Fleming et al., 1999; Price et al., 2003; Jin et al., 2005); in contrast, the inverse scenario, i.e., how Rac activity affects Ca2+ metabolism has not been well characterized.
Here, we address this question in the context of Ca2+ responses stimulated by application of the neurotransmitter serotonin (5-hydroxytryptamine, 5-HT) to neuronal growth cones. Specifically, we investigated how Rac effects on microtubule assembly and/or ROS production affect stimulus evoked Ca2+ release. We report that Rac1 activity promoted microtubule assembly-dependent endoplasmic reticulum (ER) advance which in turn resulted in spread of ER based Ca2+ release sites to the growth cone periphery. In parallel with these effects, Rac1 activity promoted ROS production in growth cones which facilitated 1,4,5-trisphosphate (IP3)-dependent Ca2+ release in response to 5-HT application.
MATERIALS AND METHODS
Cell Culture and Chemicals
Primary culture of Aplysia bag cell neurons as described previously (Forscher et al., 1987). 5-HT, U73122, U73343, Xestospongin C (XeC), ryanodine (Rya), Taxol, H2O2, and N-acetyl-cysteine (NAC) were from Sigma-Aldrich (St. Louis, MO). Heparin sodium salt, vinblastine, apocynin, genistein, and ionomycin were from Calbiochem (San Diego, CA). L61 Rac1-glutathione-S-transferase (GST) and N17 Rac1-GST, referred to here as “CA Rac1” and “DN Rac1”, respectively, were from Cytoskeleton (Denver, CO), and biological activity of these constructs was confirmed by the manufacturer. Calcium Green-1 dextran, potassium salt, 3000 molecular weight (MW) (CG-1), Texas Red dextran, 3000 MW (Texas Red), BODIPY FL brefeldin A and CM-H2DCFDA (DCF) were purchased from Invitrogen (Carlsbad, CA). Anti-KDEL antibody MAC 256 was from Abcam (Cambridge, MA).
Solutions
Artificial seawater (Na-ASW) contained 400 mM NaCl, 10 mM KCl, 15 mM HEPES, 10 mM CaCl2, and 55 mM MgCl2 at pH 7.8. Na-AWS supplemented with 3 mg/ml bovine serum albumin (BSA), 0.5 mM vitamin E (Sigma-Aldrich), and 1 mg/ml carnosine (Sigma-Aldrich) before experiments. Ca2+-free ASW was as for Na-ASW except that CaCl2 is omitted and EGTA (0.5 mM) is included. Ca2+ injection buffer consisted of 100 mM potassium aspartate and 10 mM HEPES at pH 7.4.
Microinjection
Microinjection protocol as described previously (Lin and Forscher, 1995). For Ca2+ imaging, neurons were injected with CG-1 and Texas Red in Ca2+ injection buffer (needle concentration 11–15 and 0.3–0.4 mg/ml, respectively). For microtubule dynamics, neurons were injected with 1 mg/ml Alexa-Fluor 594-labeled tubulin. To generate CA and DN Rac1 backgrounds: L61 Rac1-GST (CA Rac1) or N17 Rac1-GST (DN Rac1) was included in the injection needle (concentration 0.7–1.0 mg/ml) as described previously (Zhang et al., 2003), along with tubulin probes or Texas Red volume tracer with or without Ca2+ dye. For ROS assays, neurons were injected with 0.4 mg/ml Texas Red as a volume tracer. Reagent or vehicle solution injections were typically ∼10% of cell volume. After microinjection, cells were incubated in Na-ASW 1 h before imaging.
Ca2+ Imaging and Analysis
Fluorescence images of growth cones loaded with Ca2+ dye CG-1 and Texas Red volume tracer were obtained using an Eclipse TE300 microscope (Nikon, Tokyo, Japan) equipped with a Quantix 57 back-illuminated frame transfer cooled charge-coupled device camera (Photometrics, Tucson, AZ) mounted on the bottom port. Similar Ca2+ profiles and dynamics were observed in control experiments using 70,000 MW CG-1 ruling out the possibility that the 3,000 MW CG-1 used here could be portioning into intracellular stores. Two programmable fast filter wheels (100-ms filter changes) that include shutters were mounted with bandpass filters (Ludl,) for changing both excitation and emission wavelengths. Fluorescence filters used (denoted as center wavelength/bandwidth) were as follows: CG-1: 484/15 nm for excitation, and 523/15 nm for emission; Texas Red: 555/25 nm for excitation and 605/25 nm for emission (Chroma Technology, Brattleboro, VT). Paired images with comparable intensities of CG-1 and Texas Red were recorded every 10 or 20 s by using 400- to 600-ms integration times for fluorescein isothiocyanate (FITC) channel (Ca2+ signal) and 100- to 200-ms integration times for fluorescein isothiocyanate (TRITC) channel (volume signal). The ratio images (CG-1/Texas Red) were created by dividing background corrected intensity values of CG-1 fluorescence by Texas Red fluorescence and then converted into time-lapse montages or kymograph for data analysis. Average pixel intensity values were obtained from the entire C-domain and P-domain (see Figure 1D) of the growth cones of interest. Ca2+ changes over time were expressed as ΔF/F0, where ΔF = Ft − F0 and F0 was the average Ca2+ level sampled during ∼3- to 5-min baseline period (before 5-HT addition). ΔF/Fo (%) greater than 10% was considered significant. Ten- or 20-s sampling intervals were used for Ca2+ imaging. This sampling regime would not resolve Ca2+ transients with <1-s time constants such as observed in Xenopus growth cones (Gomez et al., 2001) and thus does not address potential contributions of these events.
To assess basal Ca2+ levels in growth cones, ratiometric Ca2+ images were performed first in Na-ASW to get basal fluorescence ratio. Subsequently, the bath solution was exchanged with Ca2+-free AWS with addition of various concentrations of CaCl2 (∼0.1–0.4 mM) to yield free Ca2+ concentration ranging from ∼45 to 720 nM (WEBMAXCLITE, http://www.stanford.edu/∼cpatton/webmaxc/webmaxclite115.htm). Ionomycin (10 μM) was included to equilibrate extracellular and intracellular Ca2+ levels. The fluorescence ratio acquired in each corresponding bath solution was normalized to the basal fluorescence ratio. The graph of normalized fluorescence ratio (percentage) plotted against free Ca2+ concentration exhibited a linear regression with R2 > 0.96.
Actin and Microtubule Immunocytochemistry
Bag cell neurons were fixed by rapid exchange of the medium with 3.7% formaldehyde in ASW supplemented with 400 mM sucrose. After fixation for 20 min, the cells were permeabilized for 5 min using 1% Triton X-100 in the fixation solution. Cells were then washed three times with phosphate-buffered saline (PBS) containing 0.1% Triton X-100 (wash solution). For actin filament labeling, Alexa 594-phalloidin (Invitrogen) was incubated at 1:50 in wash solution for 1 h. After three washes, the cells were blocked with 5% BSA in wash solution for 30 min and then incubated with mouse anti-α-tubulin (Sigma-Aldrich) at 1:100 in blocking solution for 30 min at room temperature (RT). After three washes, Alexa 488-goat anti-mouse immunoglobulin G (IgG) (Invitrogen) was added at 1:100 in blocking solution for 30 min at RT. The final wash solution was replaced with anti-fading solution Mowiol (Calbiochem, San Diego, CA). Microtubules and actin filaments were visualized using the same filters as CG-1 and Texas Red as described above.
ER Immunocytochemistry
An anti-KDEL antibody was used to visualize ER structure (Munro and Pelham, 1987; Saunders and Cohen, 1999). Cells were fixed with 4% paraformaldehyde for 15 min, permeabilized with 0.5% Triton X-100 for 5 min, and then incubated with 5% BSA and 10% normal goat serum for 1 h. After blocking, cells were stained with rat anti-KDEL antibody (MAC 256; diluted 1:100) for 1 h and visualized with Alexa 594-goat anti-rat IgG (Invitrogen) for 30 min. ER distribution and actin filaments (labeled with Alexa 488-phalloidin) were visualized in growth cones by spinning disk confocal microscopy (Andor, Belfast, Northern Ireland). Alexa 488 and Alexa 594 were excited simultaneously with 488 and 561 nm laser lines, and emission was monitored using 535/40 nm and 625/40 nm filters respectively (Chroma Technology).
ER Vital Labeling
BODIPY FL brefeldin A was used for ER staining (Deng et al., 1995; Cifuentes et al., 2001). Neurons were labeled in Na-ASW containing BODIPY FL brefeldin A (2 μM) in total darkness for 30 min. At the end of the incubation period, cells were extensively washed and mounted in a laminar flow chamber for observation. In most cases, neurons were injected with CA Rac1 or DN Rac1. For visualizing microtubule and ER simultaneously, microtubule probe was also injected beforehand. The fluorescence filters used for the ER and microtubule imaging were the same as for CG-1 and Texas Red as described above.
ROS Detection
CM-H2DCFDA (DCF) was used for ROS detection (Xie et al., 1999). Neurons injected with Texas Red were loaded with DCF (40 μM) for 1.5 h in the dark in Na-ASW and then washed thoroughly. Fifteen minutes later the coverslip was affixed to a chamber for visualization. In most cases, neurons were also injected with CA Rac1 or DN Rac1. The filter settings for the volume corrected ROS imaging were the same as for CG-1 and Texas Red as described above. Paired images of DCF and Texas Red were recorded using 200-to 500-ms integration times for FITC channel (ROS signal) and 100- to 200-ms integration times for TRITC channel (volume signal). The path length corrected image was generated by dividing background subtracted pixel values of DCF fluorescence by those of Texas Red fluorescence. To verify the sensitivity of this assay, a line scan in ROS kymograph derived from DCF/Texas Red images was done during H2O2 (10 μM) exposure. To quantify ROS levels, the values of DCF/Texas Red in C-domain and P-domain were measured in different Rac1 backgrounds and plotted as box-whisker plots.
Quantitative Analysis
Microtubule and ER dynamics assessed by fluorescent speckle microscopy (FSM) a technique for direct quantitative assessment of cytoskeletal polymer dynamics in living cells (Waterman-Storer et al., 1998; Waterman-Storer and Salmon, 1998b). Multimode time lapse microscopy as described previously (Schaefer et al., 2002). In brief, three-channel recordings were made every 12 s by using 300- to 700-ms integration times for microtubules, 100 to 400 ms for ER visualization, and 50 ms for differential interference contrast (DIC) images. Microtubule dynamic parameters were assessed as reported previously (Schaefer et al., 2002). To quantify ER density and advance, the P-domain was divided into quartiles starting at the C–P-domain interface and ending at the leading edge (see Figure 1D). Microtubule/ER excursions were quantified by counting the number of microtubules or ER tubules spanning 25 or 75% of the P-domain (denoted 25%P or 75%P, respectively). ER–microtubule-coupling efficiency was estimated by dividing ER by microtubule excursions assessed at the same time. Data are expressed as mean ± SEM, unless stated otherwise. Statistical analysis was done with two tailed paired or unpaired t test.
RESULTS
Rac1 Promotes Microtubule–ER Advance into P-Domain
Given that Rac1 activity can promote microtubule assembly in nonneuronal cells (Wittmann et al., 2003), we first characterized microtubule dynamics in different Rac1 activity backgrounds by using FSM as described previously (Schaefer et al., 2002) (also see Supplemental Figure S1). Growth cones are composed of two distinct cytoplasmic domains: 1) the central or C-domain, characterized by fast organelle transport and high microtubule density; and 2) the peripheral or P-domain, consisting of dense dynamic actin networks that tend to exclude organelles larger than ∼50 nm (Figure 1D; Forscher et al., 1987).
We found that constitutively active (CA) Rac1 increased microtubule rescue frequency by 160% and decreased catastrophe frequency by −28% in the P-domain (Table 1). Dominant-negative (DN) Rac1 had the opposite effect: decreasing microtubule rescue frequency and increasing microtubule catastrophe frequency in the P-domain by −32 and 200%, respectively (Table 1). As a result, microtubules tended to spend a greater proportion of the time growing and relatively less time shrinking in CA Rac1 compared with DN Rac1 backgrounds. Absolute microtubule growth and shortening velocities did not seem to be significantly affected by Rac1 activity. It is important that more persistent microtubule growth in the presence of CA Rac1 promoted deep microtubule advances into the P-domain, consistent with previous observations in epithelial cells (Wittmann et al., 2003).
Table 1.
Condition | Rescue frequency (/min) | Catastrophe frequency (/min) | % time growing | % time paused | % time shortening | Growth velocity (μm/min) | Shortening velocity (μm/min) |
---|---|---|---|---|---|---|---|
Control | 1.54 ± 0.10 | 0.96 ± 0.07 | 41.2 ± 2.1 | 23.0 ± 1.9 | 35.8 ± 2.1 | 6.50 ± 0.54 | −9.01 ± 0.94 |
CA Rac1 | 4.01 ± 0.22* | 0.69 ± 0.04* | 59.4 ± 1.7* | 23.8 ± 1.9 | 16.8 ± 1.1* | 6.55 ± 0.35 | −8.66 ± 0.74 |
DN Rac1 | 1.04 ± 0.06* | 2.86 ± 0.23* | 16.2 ± 1.7* | 19.4 ± 2.4 | 64.4 ± 1.6* | 6.46 ± 0.61 | −7.94 ± 0.85 |
Plus-end periphery microtubules: control (n = 25 microtubules), CA Rac1 (n = 31 microtubules), and DN Rac1 (n = 25 microtubules). Mean ± SEM elapsed recording time: 3–5 min.
*p < 0.001 vs. control.
We next examined the effect of Rac1 activity on ER distribution in the growth cones by using an anti-KDEL antibody to visualize ER distribution and Alexa-phalloidin to locate characteristic cytoplasmic domains in fixed cells (Saunders and Cohen, 1999). In CA Rac1 backgrounds, the ER tended to splay out in the growth cone with projections deep into the P-domain (Figure 1A, bottom left). In contrast, in DN Rac1 backgrounds, the ER was restricted to the C-domain (Figure 1A, bottom right). Under control conditions, we observed an intermediate phenotype with some ER tubules extending into the periphery (Supplemental Figure S2).
Given that ER distribution is dynamically regulated by microtubule-based transport in neuronal growth cones (Dailey and Bridgman, 1989, 1991) and other motile cells (Terasaki et al., 1986; Waterman-Storer and Salmon, 1998a), we next covisualized microtubule and ER dynamics in the growth cone by FSM and BODIPY brefeldin-A imaging (Deng et al., 1995; Cifuentes et al., 2001). In CA Rac1 backgrounds, growth cones tended to have well spread C-domains with microtubules and ER both extending deep into the P-domain (Figure 1B and Supplemental Movie 1). In contrast, in DN Rac1 backgrounds, growth cones tended to have more compact, focused C-domains (Figure 1C). Although microtubules still sometimes extended into the P-domain, the ER did not enter the P-domain nearly as efficiently (Figure 1C and Supplemental Movie 2). Note that individual images tend to underestimate the time-averaged density of the ER in the P-domain because peripheral ER is associated with a highly dynamic population of microtubules (Schaefer et al., 2002; Suter et al., 2004).
To quantify these Rac effects, we counted microtubule and ER excursions past fiducial marks placed at 25 and 75% of the width of the P-domain under all conditions (Figure 1D, green 25%P, blue 75%P lines, respectively; see Materials and Methods). The number of microtubule and ER excursions past the 25%P and 75%P marks increased in CA Rac1 and decreased in DN Rac1 backgrounds relative to controls (Figure 1E, top and middle, respectively). We also calculated the ratio of ER to microtubule excursions to estimate ER–microtubule-coupling efficiency, and found that CA Rac1 significantly increased this ratio in both the proximal (25%P) and distal (75%P) regions of the P-domain relative to controls, whereas DN Rac1 had the opposite effect (Figure 1E, bottom).
A detailed analysis of microtubule versus ER dynamics in CA versus DN Rac1 backgrounds is shown in Figure 2. Distal microtubule and ER ends are denoted by red and green triangles, respectively. Under both conditions, microtubule ends could enter the P-domain without ER attached; however, ER was never found in the periphery without a microtubule present. CA Rac1 dramatically increased microtubule rescue frequency, resulting in microtubules spending more time growing (Table 1) which in turn promoted ER advance. Figure 2A shows an example of ER extending outward along what seems to be a previously assembled microtubule. However, it is difficult to distinguish between ER elongating along a microtubule versus ER tracking with a microtubule tip (Grigoriev et al., 2008) because microtubules can coalign, making unambiguous plus-end localization challenging. An example of two closely aligned microtubules separating is evident in the 48- to 72-s interval in Figure 2A, bottom. Colabeling microtubules with a microtubule tip-tracking protein such as EB3 will be needed to resolve this issue.
In contrast, increased microtubule catastrophe frequencies were observed in DN Rac1 (Table 1). This resulted in shorter average microtubule growth periods and consequent ER depletion from the P-domain (Figure 2B).
Rac1 Regulates the Probability of 5-HT–evoked Ca2+ Elevation
5-HT has both neurotransmitter and neuromodulator roles in neuronal development (Gaspar et al., 2003). Because Aplysia 5-HT receptors have been extensively characterized previously (Li et al., 1995; Barbas et al., 2005), and Ca2+ has been reported to participate in 5-HT function in neurons (Dropic et al., 2005; Li et al., 2005), we investigated whether Rac1 activity might affect 5-HT-evoked Ca2+ responses. We first tested the effect of Rac1 activity on basal Ca2+ levels and no significant differences were observed in different Rac1 backgrounds (Figure 3A).
Next, Ca2+ responses to 5-HT were assessed. Under control conditions only 13% of growth cones tested exhibited Ca2+ increases after 5-HT application (Figure 3B), and these responses tended to be transient. It is interesting that when cells were injected with CA Rac1, nearly 80% of growth cones tested responded to 5-HT with Ca2+ increases (Figure 3B and Supplemental Movie 3). A representative response in CA Rac1 background is shown in Figure 3, C and D. 5-HT triggered a sustained increase in Ca2+ in the entire growth cone, including C- and P-domains. After 5-HT washout, Ca2+ returned to baseline levels in 30–40 min (data not shown). Ca2+ response curves over time in C-domain and P-domain were essentially indistinguishable, reaching plateau levels after 7–8 min in 5-HT with a maximal increase of 45% (Figure 3E).
In contrast, in DN Rac1 backgrounds 5-HT typically did not trigger significant Ca2+ changes, and the response probability was only 5% (Figure 3, B, F, and G). Brief Ca2+ transients (<1 min in duration) were sometimes observed in the axon shaft in DN Rac1 backgrounds; however, these events were not counted as positive responses because they did not affect Ca2+ levels in C- or P-domains. Together, these results suggest that Rac1 activity increases the probability and amplitude of Ca2+ increases in response to 5-HT in the C- and P-domains of the growth cone.
5-HT-evoked Ca2+ Responses Involve Phospholipase C (PLC)→IP3 Signaling
We next investigated the Rac1-dependent Ca2+ response mechanism. In many cell types, 5-HT activates PLC, leading to IP3 formation and Ca2+ release from IP3 receptors (Yoder et al., 1996; Chiu et al., 1999; Noda et al., 2003; Dropic et al., 2005; Li et al., 2005). To investigate a role for PLC in 5-HT–induced responses, CA Rac1-injected neurons were pretreated for 30 min with U73122, a well known PLC inhibitor (Jin et al., 1994; Zhou et al., 1999), and Ca2+ imaging was performed before and after 5-HT exposure. PLC inhibition completely suppressed Ca2+ elevation in response to 5-HT (Figure 4, A and B). In control experiments using U73343, an inactive U73122 analog (Smith et al., 1990; Jin et al., 1994), 5-HT elicited typical Ca2+ responses (Figure 4, C and D), ruling out nonspecific U73122 effects. These results indicate that 5-HT-evoked Ca2+ responses depend on PLC activation. To investigate the role of IP3 receptor activation, we assessed Ca2+ responses in the presence of the membrane-permeable IP3 receptor blocker XeC (Gafni et al., 1997). XeC pretreatment completely blocked 5-HT dependent Ca2+ release (Figure 4, E and F). Similar inhibition of 5-HT effects on Ca2+ release was observed when neurons were injected with heparin (Takei et al., 1998)—a chemically distinct IP3 receptor antagonist (data not shown).
We also tested whether Ca2+ release from ryanodine receptor (RyaR)-gated Ca2+ stores could be involved in the observed 5-HT responses. Ca2+ release from RyaR stores is activated by low concentrations (10–100 nM) and blocked by high concentrations (>10 μM) of ryanodine (Meissner, 1986; McPherson et al., 1991); therefore, CA Rac1-injected neurons were treated with an inhibitory dose of ryanodine (25 μM) for 40 min and then exposed to 5-HT in the continued presence of the inhibitor. Under these conditions, 5-HT continued to evoke Ca2+ release (Figure 4G).
Although the early phase of the Ca2+ response was unaffected by ryanodine, Ca2+ responses plateaued at lower levels after ∼5 min (Figure 4H). These results are consistent with Ca2+-induced Ca2+ release from RyaR stores contributing mainly to the late phase of the 5-HT-elicited Ca2+ rise. Because the RyaR and the IP3 receptors regulate a common ER-associated Ca2+ pool (Walton et al., 1991; Solovyova and Verkhratsky, 2003), it is not surprising that IP3 receptor activation could lead to further RyaR-dependent Ca2+ release. Together, these data strongly suggest CA Rac1 is potentiating 5-HT–evoked Ca2+ release from IP3- and ryanodine receptor-gated Ca2+ stores.
Ca2+ Release Topography Depends on Microtubule Assembly
The observation that CA Rac1 promoted microtubule and ER advance into the growth cone periphery (Figure 1, A, B, and E) suggested the possibility that Rac1 activity might spatially regulate Ca2+ release. To test this hypothesis, we used low levels of Taxol (100 nM) or vinblastine (25 nM) that damp microtubule assembly and have been shown to result in rapid clearance of microtubules from P-domain due to persistent microtubule coupling to retrograde actin flow (Suter et al., 2004). Taxol treatment would be expected to result in rapid ER clearance from the P-domain given ER coupling to microtubule movements (Figure 2).
We first assessed actin filament and microtubule distributions in CA Rac1-injected neurons with or without Taxol (0.1 μM; 20 min) treatment. In control growth cones, individual microtubules aligned with filopodia (Schaefer et al., 2002) and penetrated into the P-domain (Supplemental Figure S3); in contrast, microtubules rarely entered the P-domain at all in Taxol-treated growth cones (Figure 5A).
Next, we examined ER distribution before and after Taxol treatment in CA Rac1 backgrounds. Taxol treatment resulted in a dramatic relocalization of ER within the growth cone (Figure 5B and Supplemental Movie 4). Low levels of vinblastine that have similar effects on microtubule dynamics had similar effects on ER distribution (Supplemental Figure S4C). It is interesting that ER network density decreased in C-domain over time under these conditions, which could account for the decrease in C-domain Ca2+ responses observed. These results suggest microtubule presence alone (Figure 5A) is not sufficient to sustain Ca2+ release in the C-domain and point to a novel role for microtubule assembly considered in the Discussion.
To assess Taxol/vinblastine effects on ER distribution, we quantified ER excursion events in CA Rac1 backgrounds (Table 2). ER excursions past the 25%P domain boundary decreased by ∼60% after Taxol or vinblastine addition and no ER extended past 75%P boundary (Table 2). These observations suggested that alteration in microtubule assembly could affect spatial patterns of Ca2+ release by causing redistribution of ER Ca2+ stores, especially in the growth cone P-domain.
Table 2.
Boundary | before Taxol | Taxol | before Vinblastine | Vinblastine |
---|---|---|---|---|
25%P | 5.42 ± 0.17 | 2.32 ± 0.16* | 5.36 ± 0.18 | 2.12 ± 0.25* |
75%P | 2.04 ± 0.16 | 0 ± 0* | 1.97 ± 0.17 | 0 ± 0* |
CA Rac1-injected neurons were treated by Taxol (0.1 μ M) or vinblastine (25 nM) for 20–30 min. Data represents ER crossings/10-μ m boundary length. Thirteen and 10 growth cones were assessed for Taxol and vinblastine treatments, respectively. Values are expressed as mean ± SEM. Statistical analysis by two-tailed paired t test.
*p < 0.001 vs. before taxol or vinblastine addition.
To test this hypothesis, we assessed 5-HT-evoked Ca2+ release in CA Rac1 backgrounds after inhibition of microtubule dynamics with Taxol. Under these conditions, Ca2+ elevation was restricted to the C-domain and proximal region of the P-domain (Figure 5C1 and Supplemental Movie 5). Ca2+ levels no longer changed at all beyond the 75%P peripheral domain boundary (Figure 5C, 2 and 3) as observed under control conditions (compare Figure 3C). Figure 5C, 4 and 5, compares pooled control versus Taxol-pretreated 5-HT-evoked Ca2+ responses. C- and P-domain responses are of similar magnitude under control conditions; in contrast, Ca2+ responses were reduced in both the C- and P-domains after Taxol treatment (Figure 5C, 4 and 5) in accord with the observed reduction of ER density. Similar results were obtained using vinblastine (Supplemental Figure S4, A and B). Reduction of Ca2+ release in the C-domain subsequent to Taxol treatment was somewhat of a surprise because Taxol did not markedly alter microtubule density there (cf. Figure 5A). This finding bears further investigation as it suggests the possibility that a dynamic pool of microtubules in the C-domain may play a role in maintaining ER distribution there.
ROS Derived from Rac1 Activation Facilitates 5-HT–evoked Ca2+ Release
The above-mentioned results are consistent with Rac1 effects on microtubule assembly promoting ER transport into the P-domain, thereby facilitating 5-HT–dependent Ca2+ release there. However, Rac effects on microtubule dynamics alone are not sufficient to explain our observations. Specifically, we noted that DN Rac1 abolished all 5-HT–dependent Ca2+ release in the growth cone (Figure 3F), including release in the C-domain where both microtubules and ER are clearly still present (Figure 1C).
Given that Rac is also an essential regulator of a multicomponent NADPH oxidase complex that controls ROS production (Lambeth, 2004) and recent evidence that cellular redox state can modulate Ca2+ release (Gordeeva et al., 2003; Davidson and Duchen, 2006), we decided to investigate the relationship between Rac1 activity, growth cone ROS levels, and 5-HT–evoked Ca2+ release.
To assess growth cone ROS activity, neurons were loaded with DCF, a live-cell fluorescent ROS detector (Xie et al., 1999). In control experiments, DCF levels corrected for volume were monitored during H2O2 exposure, and the response was obtained over time, confirming the sensitivity of DCF (Supplemental Figure S5). Next, ROS levels in different Rac1 backgrounds were quantified. CA Rac1 significantly increased baseline ROS levels in both C- and P-domains, whereas DN Rac1 had the opposite effect (Figure 6A). To test whether elevated baseline ROS levels in CA Rac1 backgrounds could be modulating Ca2+ mobilization, neurons were pretreated with an antioxidant NAC (Sundaresan et al., 1996; Suzukawa et al., 2000) and then exposed to 5-HT. Antioxidant pretreatment totally blocked 5-HT–evoked Ca2+ responses typical of CA Rac1-injected cells (Figure 6, B and F, and Supplemental Figure S6A; cf. Figure 3, C–E). Note that NAC (1 mM; 30 min) had no significant effect on ER distribution in growth cones (data not shown). Moreover, pretreatment of CA Rac1-injected neurons with apocynin, a specific inhibitor of NADPH oxidase complex assembly (Fellner and Arendshorst, 2005; Kimura et al., 2005), similarly suppressed 5-HT–evoked Ca2+ responses (Figure 6, C and F, and Supplemental Figure S6B). These data strongly suggest ROS derived from Rac1 dependent NADPH oxidase activation are necessary for Ca2+ responses to 5-HT in the entire growth cone, i.e., in either C- or P-domains.
If 5-HT–evoked Ca2+ release depends on the presence of ROS, exposure to exogenous ROS would be expected to rescue Ca2+ responses to 5-HT in DN Rac1 backgrounds. To test this hypothesis, cells injected with DN Rac1 were pretreated with a low concentration of H2O2, and Ca2+ responses were assessed. In sharp contrast to controls (Supplemental Figure S6C), addition of 5-HT to neurons conditioned with H2O2 (10 μM) resulted in dramatic Ca2+ increases in the C-domain (Figure 6, D and F, and Supplemental Fig. S6D). Ca2+ levels plateaued with a 30% increase after ∼7 min in 5-HT (Figure 6D). H2O2 conditioning did not rescue Ca2+ responses in the P-domain (Figure 6, D and F, and Supplemental Figure S6D)—this is expected as a consequence of peripheral ER depletion in DN Rac1 backgrounds (Figure 1). Note that in DN Rac1 backgrounds, H2O2 (10 μM; 20 min) did not affect ER distribution in growth cones significantly (data not shown).
The H2O2 rescue responses mentioned above depended on IP3 receptor activation, because Ca2+ release was absent in the presence of XeC (Figure 6, E and F, and Supplemental Figure S6E). In control or DN Rac1 injected neurons, H2O2 (10 μM) alone had little effect on growth cone morphology, and baseline Ca2+ levels did not change significantly (<5%) in the continued presence of H2O2 (>45 min exposure; data not shown). These results are consistent with a report that histamine-stimulated Ca2+ oscillations could be rescued in human aortic endothelial cells expressing DN Rac1, if cells were exposed to low concentration of H2O2 (Hu et al., 2002). Together, these data suggest that Rac1 activity modulates 5-HT–evoked Ca2+ release via ROS-dependent sensitization of IP3 receptors.
DISCUSSION
Given its signaling diversity, it is not surprising that Ca2+ dynamics are tightly regulated both spatially and temporally. Rac regulation of Ca2+ metabolism has been reported in other systems, for example, Rac/Cdc42-inactivating clostridial cytotoxins inhibited intracellular Ca2+ mobilization induced by FcεRI-stimulation in rat basophilic leukemia cells (Djouder et al., 2000); CA Rac enhanced Ca2+ release from ER in mast cells after antigen stimulation, whereas DN Rac dampened Ca2+ mobilization (Hong-Geller and Cerione, 2000; Hong-Geller et al., 2001). The current study extends the role of Rac in regulation of Ca2+ metabolism to neuronal growth cones, where 5-HT–evoked Ca2+ release topography, and sensitivity seems to be modulated by Rac1 activity via parallel effects on microtubule dynamics and IP3 receptor sensitivity.
Microtubule-dependent Changes in the ER Ca2+ Store Distribution
Because intracellular Ca2+ stores reside in ER (Ross et al., 1989; Walton et al., 1991), which is a cargo for microtubule-based transport, Rac effects on microtubule dynamics could affect ER distribution. Indeed, Rac1 promotes microtubule growth in epithelial cells via Pac kinase-dependent inhibition of the microtubule catastrophe factor Op18/stathmin (Wittmann et al., 2004). Moreover, Rac activator DOCK7 inactivates Op18/stathmin in nascent axons (Watabe-Uchida et al., 2006). In agreement, we found that CA Rac1 facilitated microtubule extension into the P-domain by increasing microtubule rescue frequency and decreasing catastrophe frequency (Table 1). These effects were correlated with increased presence of microtubules and ER in the P-domain (Figures 1, A, B and E, and 2A). When microtubule assembly was disrupted by Taxol or vinblastine treatment (Figure 5A), ER was also cleared from the growth cone periphery (Table 2, Figure 5B, and Supplemental Figure S4C), resulting in attenuated 5-HT–evoked Ca2+ responses (Figure 5C and Supplemental Figure S4, A and B). Collectively, these data suggest that altering the spatial distribution of intracellular Ca2+ pools in the P-domain may be an important mechanism for modulating Ca2+ responses there.
We also found that paradoxically Taxol/vinblastine treatments attenuated Ca2+ responses to 5-HT in the C-domain (Figure 5C, 4 and 5, and Supplemental Figure S4B) and reduced ER density (Figure 5B and Supplemental Figure S4C) despite continued high microtubule density there (Figure 5A). These effects are interesting because they suggest the presence of a heretofore uncharacterized pool of dynamic microtubules in the C-domain that play a role in regulating ER distribution. Such a pool would be difficult to detect because the high density of microtubules in the C-domain precludes unambiguous analysis by speckle microscopy. These observations are consistent with a report that Taxol decreased thapsigargin-mediated Ca2+ release in adenocarcinoma cells (Padar et al., 2004). Note that neither Taxol (100 nM) nor vinblastine (25 nM) significantly altered basal Ca2+ levels in growth cones (data not shown), suggesting these pretreatments do not significantly perturb existing Ca2+ stores. It will be of interest to investigate these apparent microtubule assembly dependent effects on ER distribution in the C-domain in future studies.
In DN Rac1 backgrounds, microtubules and ER were still present in C-domain (Figure 1, A and C), but now 5-HT–dependent Ca2+ release was essentially absent (Figure 3, F and G). These data suggest that the Rac1 effects on microtubule assembly and ER transport discussed above are not sufficient to explain the potentiating effects of Rac activity on 5-HT–evoked Ca2+ responses. The role of Rac in ROS production seems to be the missing piece of this puzzle.
ROS-dependent Changes in Ca2+ Release
Rac plays an essential role in NADPH oxidase-mediated ROS production and related signaling (Lambeth, 2004; Bedard and Krause, 2007). Evidence suggests a close connection between Rac1 activation and ROS generation in a variety of cell types, including neurons (Suzukawa et al., 2000), liver cells (Cool et al., 1998), astroglioma cells (Lee et al., 2002), and fibroblasts (Sundaresan et al., 1996). Indeed, we found that CA Rac1 significantly increased ROS levels in the growth cone C- and P-domains, whereas DN Rac1 had the opposite effect (Figure 6A). Given that both IP3 receptors and ryanodine receptors seem to be sensitized by ROS (Davidson and Duchen, 2006), elevated ROS levels we see in CA Rac1 backgrounds may facilitate 5-HT Ca2+ responses. In agreement, depleting ROS using a reactive oxygen scavenger (NAC) or blocking NADPH oxidase function (with apocynin) abolished 5-HT–evoked Ca2+ responses in CA Rac1 backgrounds (Figure 6, B, C, and F, and Supplemental Figure S6, A and B). In contrast, addition of extracellular H2O2 restored 5-HT–evoked Ca2+ release from IP3 gated stores in DN Rac1 backgrounds (Figure 6, D, E, and F, and Supplemental Figure S6, D and E). These results support the idea that Rac1 activation is driving production of ROS that in turn potentiates the observed 5-HT–evoked Ca2+ responses. Parenthetically, treatment with the ROS scavenger NAC (1 mM; 30 min) or H2O2 (10 μM; 20 min) did not affect ER distribution (data not shown), consistent with segregation of Rac effects on microtubules and NADPH oxidase.
It is well known that ROS such as H2O2 inactivate protein tyrosine phosphatases by Cys oxidization and potentiate tyrosine kinase signaling (Tonks, 2005). It is unlikely that this plays a significant role here because pretreatment with genistein (100 μM), a general protein tyrosine kinase inhibitor, had no effect on H2O2 rescue of 5-HT–evoked Ca2+ responses in DN Rac1 backgrounds (data not shown). Because both IP3 receptors and RyaRs are known to be sensitive to their thiol redox state, with oxidation of critical thiols favoring Ca2+ release (Abramson and Salama, 1988; Missiaen et al., 1991; Bootman et al., 1992; Xia et al., 2000; Joseph et al., 2006), we speculate that ROS may oxidize IP3 and Rya receptors and thereby reduce the threshold for Ca2+ channel opening. Rac1 has also been reported to directly activate PLCβ (Illenberger et al., 1998; Snyder et al., 2003); however, we do not think constitutive PLC activation is involved because 1) Ca2+ responses were rescued by H2O2 in DN Rac1 backgrounds (Figure 6, D and F, and Supplemental Figure S6D) and 2) Ca2+ responses still depended on IP3 receptor activation (Figure 6, E and F, and Supplemental Fig. S6E).
Rac is emerging as a functional node for coordination of multiple biochemical processes (Figure 7); here, we add to this story by providing evidence that Rac ”modulates“ the topology and sensitivity of Ca2+ release by 1) regulating microtubule assembly, which in turn affects ER distribution; and 2) increasing ROS production, which leads to sensitization of evoked Ca2+ release from IP3-dependent stores. Although Rac activation would create an environment that facilitates stimuli-evoked Ca2+ responses, it is difficult to predict the relative importance of Rac effects stemming from changes in microtubule dynamics versus ROS production because each of these processes could be influenced by other signaling pathways.
Ca2+ diffusion is highly restricted by binding proteins and pumps (Augustine et al., 2003); thus, downstream effectors in growth cones need to be situated relatively close to sites of Ca2+ release. We speculate that localized regions of high Rac activity will tend to accumulate microtubules due to net effects on assembly, this in turn will bring ER stores into proximity with potential Ca2+ effector proteins. Positive external modulators of Rac activity could thus ”prime“ the P-domain for ligand-dependent Ca2+ release (Figure 7). In primed regions, ligand dependent responses involving the PLC→IP3 cascade would also be facilitated by increased ROS levels. The net result would be a spatio-temporal sensitization of ligand dependent Ca2+ responses. The dependence of 5-HT–evoked Ca2+ responses on Rac activity presented here are in line with this type of model. It will be of interest to see how these Rac dependent processes affect the cytoskeletal proteins dynamics involved in axon growth.
Supplementary Material
ACKNOWLEDGMENTS
We thank Forscher laboratory members for insightful discussion of this work, Dr. Andrew Schaefer in particular for help in assessing microtubule dynamics, and David van Goor for suggestions on Ca2+ data analysis. This work was supported by National Institutes of Health grants R01-NS28695 and R01-NS051786 (to P. F.) and the Nikon Partners-in-Research Program.
Footnotes
This article was published online ahead of print in MBC in Press (http://www.molbiolcell.org/cgi/doi/10.1091/mbc.E08-07-0730) on July 1, 2009.
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