Exp Neurobiol 2017; 26(1): 42-54
Published online February 28, 2017
© The Korean Society for Brain and Neural Sciences
Jea Kwon1,2,3, Heeyoung An1,2,3, Moonsun Sa1,2,3, Joungha Won2,3,4, Jeong Im Shin2,3 and C. Justin Lee1,2,3*
1KU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul 02841, 2Center for Neuroscience and Functional Connectomics, Korea Institute of Science and Technology (KIST), Seoul 02792, 3Center for Glia-Neuron Interaction, Korea Institute of Science and Technology (KIST), Seoul 02792, 4Department of Biological Science, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea
Correspondence to: *To whom correspondence should be addressed.
TEL: 82-2-958-6421, FAX: 82-2-958-6919
Astrocytes are non-excitable cells in the brain and their activity largely depends on the intracellular calcium (Ca2+) level. Therefore, maintaining the intracellular Ca2+ homeostasis is critical for proper functioning of astrocytes. One of the key regulatory mechanisms of Ca2+ homeostasis in astrocytes is the store-operated Ca2+ entry (SOCE). This process is mediated by a combination of the Ca2+-store-depletion-sensor, Stim, and the store-operated Ca2+-channels, Orai and TrpC families. Despite the existence of all those families in astrocytes, previous studies have provided conflicting results on the molecular identification of astrocytic SOCE. Here, using the shRNA-based gene-silencing approach and Ca2+-imaging from cultured mouse astrocytes, we report that Stim1 in combination with Orai1 and Orai3 contribute to the major portion of astrocytic SOCE. Gene-silencing of Stim1 showed a 79.2% reduction of SOCE, indicating that Stim1 is the major Ca2+-store-depletion-sensor. Further gene-silencing showed that Orai1, Orai2, Orai3, and TrpC1 contribute to SOCE by 35.7%, 20.3%, 26.8% and 12.2%, respectively. Simultaneous gene-silencing of all three Orai subtypes exhibited a 67.6% reduction of SOCE. Based on the detailed population analysis, we predict that Orai1 and Orai3 are expressed in astrocytes with a large SOCE, whereas TrpC1 is exclusively expressed in astrocytes with a small SOCE. This analytical approach allows us to identify the store operated channel (SOC) subtype in each cell by the degree of SOCE. Our results propose that Stim1 in combination with Orai1 and Orai3 are the major molecular components of astrocytic SOCE under various physiological and pathological conditions.
Keywords: Astrocyte, SOCE, Stim1, Orai1, Orai3, TrpC1
In the mammalian central nervous system, astrocytes constitute near 20~40% of the population of total cell number . These star-like glial cells actively participate in fundamental biological processes such as maintenance of ion homeostasis, neurovascular coupling, immune response, gliotransmitter release, and metabolic support of neurons [2,3,4,5,6,7]. Because these cells are electrically non-excitable, their activational and regulatory mechanisms largely depend on intracellular Ca2+ signaling [8,9,10,11]. It is now well established that astrocytes respond to various stimuli and signaling molecules via several Ca2+ signaling pathways [8,12,13,14]. Among them, G protein-coupled receptor (GPCR) mediated Ca2+ signaling pathway is one of the most well-characterized intracellular Ca2+ signaling mechanisms in astrocytes [6,15,16]. In this signaling pathway, the Ca2+ stored in endoplasmic reticulum (ER) plays a key role in GPCR-mediated intracellular Ca2+ increase under various ligands and stimuli [14,16,17]. The stored Ca2+ is released from ER to the cytosol by an opening of IP3R2 channels, leading to a depletion of Ca2+ in ER. When the cytosolic Ca2+ level is elevated, the Ca2+ pumps in the ER membrane (SERCA) are activated to reset their cytosolic Ca2+ level to the basal level. During this process, however, ER reservoir remains depleted since plasma membrane Ca2+ APTase (PMCA) pumps Ca2+ out to the extracellular space much faster than the SERCA pumps Ca2+ into the ER store. Thus, in order to refill the ER Ca2+, there must be other processes which can compensate the Ca2+ leakage out to the extracellular space caused by PMCAs. This is called SOCE, the mechanism that triggers influx of extracellular Ca2+ by gating SOCs in the plasma membrane under the ER depletion .
During the past decades, the idea of SOCE has become widely accepted through a series of discoveries which identified the critical components mediating SOCE: Stim1, the ER depletion sensor, and Orai or TrpC channels, the SOCs activated by Stim1 [18,19,20]. It has been described that during SOCE the Stim1 dimers present in ER membrane oligomerize when the ER Ca2+ reservoir becomes empty. Then the Stim1 oligomers physically transfer close to the plasma membrane to form a complex with SOC which is composed of either Orai or TrpC channels to open these channels [21,22,23,24].Currently, three models for SOC complexes have been proposed: “Stim1-Orai” complex, “Stim1-TrpC” complex and “Stim1-Orai/TrpC” complex .
So far, among the three models, the major SOC complex seems to vary depending on the cell types . In astrocytes, two previous reports by Golovina group in 2005 and 2011 have revealed that astrocytic SOCE was decreased by about 70% with a gene-silencing of either TrpC1 or Orai1 [25,26]. Therefore, according to their previous results, we can easily assume that both Orai1 and TrpC1 are equally important for astrocytic SOCE by forming “Stim1-Orai1/TrpC1” complex. However, at around the same time, Moreno group reported that both a single knock-down of Orai1 and a simultaneous knock-down of Stim1 and Orai1 resulted in a similar contribution to SOCE by nearly 50~60% . Their results implied that Stim1 exclusively interacts with Orai1, supporting “Stim1-Orai1” complex model. This report was in direct conflict with Golovina group's reports. These conflicting results led us to re-examine the exact molecular mechanism mediating SOCE in astrocytes.
In this study, we have systematically investigated the relative contribution of Stim1, TrpC1 and Orai channels on SOCE to determine appropriate model for astrocytic SOC complex. To achieve this goal, we first confirmed the existence of SOCE components with previously reported mRNA transcriptome databases and our own data from qRT-PCR. Next, we developed shRNAs for various SOCE components including Stim1, Orai1, Orai2, Orai3, and TrpC1 to achieve long-lasting and reliable gene-silencing
Primary cortical astrocytes were prepared from 1 day postnatal C57BL/6 mice as previously described [14,27]. The cerebral cortex was dissected free of adherent meninges, minced and dissociated into a single-cell suspension by trituration. Dissociated cells were plated onto plates coated with 0.1 mg/ml poly-D-lysine (Sigma). Cells were grown in Dulbecco's modified Eagle's medium (DMEM, Corning) supplemented with 4.5 g/L glucose, L-glutamine, sodium pyruvate, 10% heat-inactivated horse serum, 10% heat-inactivated fetal bovine serum, and 1000 units/ml of penicillin–streptomycin. Cultures were maintained at 37℃ in a humidified atmosphere containing 5% CO2. After three days later, cells were vigorously washed with repeated pipetting using medium and the media was replaced to remove debris and other floating cell types.
For imaging, cultured astrocytes were plated as a monolayer on 12-mm glass coverslips coated with poly-D-lysine (Sigma). Astrocytes were incubated with 5 µM Fura-2 AM plus 1 µM pluronic acid (Molecular Probes) for 30 min at room temperature. External solution contained 150 mM NaCl, 10 mM HEPES, 3 mM KCl, 2 mM CaCl2, 1 mM MgCl2, 22 mM sucrose, and 10 mM glucose (pH adjusted to 7.4 and osmolarity to 325 mOsm). INDEC systems, Imaging Workbench version 6.0 was used for acquisition of intensity images and conversion to ratios as previously described . Thapsigargin (Tocris) was used as a sarcoendoplasmic reticulum calcium transport ATPase (SERCA) inhibitor.
The targeted genes (known RefSeq from the Pubmed) for shRNA development are mOrai1 (NM_175423.3), mOrai2 (NM_178751.3), mOrai3 (NM_198424.3), mTrpC1 (NM_011643.3), and mStim1 (NM_009287.4)
The target regions of shRNA are as the following: Orai1 candidate 1, ‘5′-GCAGTTCCAGGAGCTCAATGA-3′’; Orai1 candidate 2, ‘5′-GCAACGTCCACAACCTCAACT-3′’; Orai1 candidate 3, ‘5′-GCACCTGTTTGCCCTCATGAT-3′’; Orai2 candidate 1, ‘5-GCTCTGCTCATCAGCACTTGC-3′’; Orai2 candidate 2, ‘5′-GGCCACAAGGGCATGGATTAC-3′’; Orai2 candidate 3, ‘5′-GCCACAAGGGCATGGATTACC-3′’; Orai2 candidate 4, ‘5′-GGTAGCCGTGCATCTGTTTGC-3′’; Orai3 candidate 1, ‘5′-GCAACATCCACAATCTCAACT-3′’; Orai3 candidate 2, ‘5′-GGGTCAAGTTTGTGCCCATTG-3′’; Orai3 candidate 3, ‘5′-GGGTAAACCAGCTCCTGTTGT-3′’; Orai3 candidate 4, ‘5′-GCCCTACATTTCTACCGATCC-3′’; Trpc1 candidate 1, ‘5′-GCTTTCGGACTTCTAAATATG-3′’; Trpc1 candidate 2, ‘5′-CTATGGCTTAGCTACTTTGA-3′’; Trpc1 candidate 3, ‘5′-GGGTGACTATTATATGGT-3′’; Stim1 candidate 1, ‘5′-GCGACTTCTGAAGAGTCTACC-3′’; Stim1 candidate 2, ‘5′-GCTGCTGGTTTGCCTATATCC-3′’; and Stim1 candidate 3, ‘5′-GCGAGATGAGATCAACCTTGC-3′’.
pENSR-shRNAs for Orai1, Orai2, Orai3, Trpc1, and Stim1 were constructed by using the EZchangeTM site-directed mutagenesis kit (Enzynomics) and confirmed by sequencing.
The full-length mTrpC1 (GenBank: BC144726.1) cDNA was cloned from whole brain lysate of C57BL/6 mouse. Next, this cloned cDNA was inserted into CMV-MCS-GFP vector.
Each plasmid-based shRNA was transfected and relative transcriptome expression levels were measured by RT-PCR (TrpC1) and quantitative real-time PCR using a SYBR Green-based method (Orai1, Orai2, Orai3 and Stim1) with equal amount of cDNA. (Scrambled shRNA-containing pENSR construct was used as control.) The primer sequences for Orai1, Orai2, Orai3, Trpc1 and Stim1 transcript are as the following:
Orai1, ‘5′-CAGGGTTGCTCATGCTCTTT-3′’ & ‘5′-ACCGAGTTGAGGTTGTGGAC-3′’; Orai2, ‘5′-CTGCTCATCAGCACTTGCAT-3′’ & ‘5′-GGAACTTGATCCAGCAGAGC-3′’; Orai3, ‘5′-GGAGGTACAGCTGGAGAACG-3′’ & ‘5′-GTGTGGTGACTGGTGGACAG-3′’; Trpc1, ‘5′-GAATCGCGTAACCAGCTC-3′’ & ‘5′-CTTCCGGTCAGCAAAGTC-3′’; and Stim1, ‘5′-GAGATTGTGTCGCCCTTGTC-3′’ & ‘5′-GAGAGCTTCATCTGCAGCAC-3′’. And mouse GAPDH was amplified and used as the internal control.
For the KD efficiency calculation, we first normalized each mRNA level with GAPDH and divided each normalized mRNA level for Orai1 or Orai2 shRNA condition by scrambled shRNA transfected condition to calculate the apparent KD efficiency for each condition. Next, we counted the total cell number and shRNA transfected cell number to calculate the transfection efficiency, which was then used to divide the apparent KD efficiency by transfection efficiency for each condition. The resulting value was the corrected KD efficiency for Orai1 and Orai2. For the KD efficiency calculation of Orai3, TrpC1, and Stim1, we first normalized each mRNA level with GAPDH and divided each normalized mRNA level for each shRNA condition by scrambled shRNA transfected condition to calculate the apparent KD efficiency for each condition.
The reproduced relative mRNA expression levels of Orai1, Orai2, Orai3 and TrpC1 were obtained from the transcriptome databases of the following open access journal articles (Fig. 1b); Cahoy et al. (supplementary material:380_Cahoy_S_Table_S8_Exon_Master_2007-09-11 ) and Zhang et al. (supplementary material: barreslab_rnaseq ).
For the definition of “Ratio” in Fig. 3b, the following formula was used;
For statistics mediating the relative SOC contribution, two way unpaired student's t-test were performed between control condition and shRNA conditions (Fig. 4b).
For relative SOC contribution calculation, we adapted the following formula (Fig. 4c);
For astrocytic SOCE population analysis (Fig. 5), we displayed “Ratio” values as both frequency histogram and cumulative frequency histogram using GraphPad Prism 7.0 software. For frequency histogram, the bin size was 0.25 and for cumulative frequency histogram, the bin size was 0.01 (Fig. 5). For statistical comparison of two different cumulative frequency histograms, we performed non-parametric Kolmogorov-Smirnov test (KS test) using GraphPad Prism 7.0 software (Fig. 5b~g). D and α values were estimated for calculation of significance level. This test generates the two cumulative relative frequency distributions, and then asks how far apart those two distributions are at the point where they are furthest apart. This distance is reported as Kolmogorov-Smirnov D value. For calculation of critical value, significance level of α was set 0.05.
For the fit-curve analysis (Fig. 5h), we fitted the frequency histogram of the control condition by lognormal fitting method provided by GraphPad Prsim 7.0 statistical analysis tool. From the fitted curve, statistical values of the geometric mean (GeoMean=1.31) and geometric standard deviation (GeoSD=1.745) were calculated. Furthermore, for 95% confidence interval calculation, Xupper=3.899842 and Xlower=0.440020 were calculated by the following formula (Fig. 5h).
For the population percentage calculations (Fig. 5h), we classified four groups based on the cut-off values: Xlower=0.440020, GeoMean=1.31, and Xupper=3.899842. Based on these cut-off values, we defined the four groups as “Small (ratio range: 0~0.625)”, “Medium (ratio range: 0.625~1.375)”, “Large: (ratio range: 1.375~4.125)”, and “Huge: (ratio range: over 4.125)”.
In astrocytes, the exact molecular mechanism of SOCE is still unclear, and the major molecular components constituting the SOC complex need to be investigated. Therefore, we designed putative models for astrocytic SOCE: 1) Stim1-Orai complex, 2) Stim1-Orai/TrpC complex and 3) Stim1-TrpC complex (Fig. 1a). To test whether proposed molecular components are actually present in the astrocytes, we first investigated the mRNA expression levels in astrocytes. The astrocytic mRNA transcriptome databases from the previous studies indicated that SOCs (herein Orai1, Orai2, Orai3, and TrpC1) are expressed in both
In order to confirm whether our experimental condition exhibits similar mRNA expression pattern as the previous reports, we extracted the total mRNA from 7 days in vitro (DIV) cultured cortical astrocytes and then performed quantitative real-time RT-PCR (Fig. 1c). In our experimental condition, Orai1 showed the highest expression of mRNA level as expected, whereas TrpC1 was the lowest (Fig. 1d). In summary, both transcriptome databases and our experimental results confirmed the existence of SOC subtypes. Thus, the suggested models for astrocytic SOC complex are all possible, although the high expression level of Orai1 favored the model of “Stim1-Orai” complex.
In order to systematically investigate the molecular mechanism of astrocytic SOCE, we developed shRNAs for each SOCE component. Three or four candidates of shRNA sequences for Orai1, Orai2, Orai3, TrpC1, and Stim1 were selected from Invitrogen Block-iT shRNA designer website (https://rnaidesigner.thermofisher.com/) and cloned into pENSR vectors which express shRNA under the U6 promoter and fluorescent reporter (EGFP or mCherry) under the CMV promoter (Fig. 2a). After cloning of the shRNA candidates, these vectors were transfected to either astrocytes or HEK293-T cells for in vitro validation of knock-down efficiencies for each shRNA candidate. For TrpC1 shRNA validation, each TrpC1 shRNA candidate and TrpC1-GFP full clone were co-transfected into HEK293-T cells. Among the three candidates of shRNA, the candidate 2 revealed the most effective knock-down rate as indicated by a significant decrease of GFP fluorescence level and mRNA level (Fig. 2b, c).
In Orai1, Orai2, Orai3, and Stim1 shRNA development, we transfected each shRNA candidates into 7 DIV mouse cortical astrocyte and measure knock-down efficiency by the quantitative real-time PCR using a SYBR Green-based method. As a result, Candidate 3 of Orai1 shRNA, Candidate 3 of Orai2 shRNA, Candidate 2 of Orai3 shRNA, Candidate2 of TrpC1 shRNA, and Candidate 3 of Stim1 shRNA were found to be the most effective candidates respectively (Fig. 2d~h). These selected candidates were used in the Ca2+ imaging experiments.
To dissect the contribution of each SOCE component in astrocytes, we performed the ratiometric Ca2+ imaging on Fura-2 AM loaded cultured astrocytes after gene-silencing with each shRNA (Fig. 3a). For activation of SOCE, we first applied Caa2+ free solution to astrocytes and treated them with 1 µM Thapsigargin (Tg), an irreversible SERCA inhibitor, to deplete the ER Caa2+ without any GPCR agonists. After stabilization of the baseline, we applied 2 mM Caa2+ solution to measure the Caa2+ entry. From the resulting trace, we defined the first Caa2+ surge as “Release” and the second Caa2+ surge as “Entry” (Fig. 3b). And the “Ratio” was calculated as the ratio of “Release” divided by “Entry” for each trace.
In representative Ca2+ imaging pictures and raw traces, both Orai1/2/3 shRNA transfected astrocyte (red marked) and control (yellow marked) showed the similar amplitude of Ca2+ “Release” at 3 min (3′). However, at 25 min (25′) Orai1/2/3 shRNA transfected astrocyte revealed much smaller Ca2+ “Entry” compared to that of the control, demonstrating that Orai1/2/3 shRNA is functionally effective (Fig. 3c).
Using this experimental protocol, we measured the astrocytic SOCE after knock-down of Orai1, Orai2, Orai3, TrpC1, Orai1/2/3, and Stim1 from each astrocyte (Fig. 3d~j). The average trace of all Ca2+ imaging responses from individual cells for each shRNA condition with standard error mean (S.E.M) is displayed at the left side of each figure. The “Release” and “Entry” paired scatter plot and “Ratio” scatter plot was displayed on the right side of each figure (Ctrl sh: n=97, Orai1 sh: n=38, Orai2 sh: n=33, Orai3 sh: 58, TrpC1 sh: 69, Orai1/2/3 sh: n=23, Stim1 sh: n=22).
To determine which model is the best fit for astrocytic SOC complex, we quantitatively analyzed the data obtained from Ca2+ imaging in various knock-down conditions. First, we normalized each average trace with the “Release” component for each condition and aligned and overlaid them (Fig. 4a). The maximum percent amplitude of Ctrl, TrpC1, Orai2, Orai3, Orai1, Orai1/2/3, and Stim1 knock-down conditions were 187%, 175%, 159%, 150%, 113%, 62%, and 43%, respectively (Fig. 4a). Next, we compared the average “Ratio” values of each shRNA condition with the control condition and found that Orai1, Orai3, Orai1/2/3, and Stim1 shRNA conditions were significantly different from the control shRNA condition (Fig. 4b; 2-tailed student's t-test).
To see the relative contribution of each component in astrocytic SOCE, we calculated the relative SOCE portion for each condition by subtracting the ratio value of each condition from the ratio of control condition and dividing the result by the ratio of control condition in Fig. 4b. As a result, we found that Orai1, Orai2, Orai3, TrpC1 and Stim1 contributed to SOCE by about 35.7%, 20.3%, 26.8%, 12.2% and 79.2%, respectively (Fig. 4c, d). Although there was only a slight difference between Orai2 and Orai3, the statistical significance was observed only in Orai3 (p<0.05) but not in Orai2 (n.s.). In summary, these results indicate that Stim1, Orai1, and Orai3 are the major contributors of the astrocytic SOCE with a statistical significance.
During the analysis of each Ca2+ imaging trace of the 97 cells in control condition, we noticed that the astrocytic SOCE responses were heterogeneous in regard to the “Ratio” with a pronounced scatter or variance (Fig. 3d). For instance, although most cells exhibited a “Ratio” greater than one, namely higher amplitude of “Entry” compared to “Release”, some cells rather showed a “Ratio” lower than one.
To test whether this heterogeneity of astrocytic SOCE responses comes from the differential expression of SOC subtypes in astrocyte subpopulations, we performed a population analysis by plotting relative frequency and cumulative frequency histograms of the “Ratio” values (Fig. 5a~g). With this analytical method, we were able to easily compare the distribution of the “Ratio” between control condition and SOCE component knock-down conditions. As a result, we found that Stim1 and Orai1/2/3 knock-down conditions showed a dramatic shift to the left in the frequency histogram (Fig. 5f, g). At a glance, for Orai1 and Orai3 knock-down conditions the major difference occurred at large ratio values (Fig. 5c, e), whereas for Orai2 and TrpC1 knock-down conditions the frequency histograms showed a negligible difference (Fig. 5b, d).
For more in-depth analysis, we subdivided the astrocytic SOCE populations into 4 groups using statistically meaningful values. We first fitted the best non-linear lognormal curve on the frequency histogram of the control condition (Fig. 5h, top panel). Based on the fitted curve, we calculated the 95% confidential interval (upper cutoff: 0.44, lower cutoff: 3.90) and the geometric mean (1.31). With these statistically meaningful values, we defined the four subpopulations: “Small (ratio range: 0~0.625)”, “Medium (ratio range: 0.625~1.375)”, “Large: (ratio range: 1.375~4.125)”, and “Huge: (ratio range: Over 4.125)” (Fig. 5h, For details, see Materials and Methods - Data analysis and Statistics).
With these boundary conditions, we found that each subpopulation was comprised of about 7.2% (Small), 41.2% (Medium), 42.3% (Large), and 9.3% (Huge) of astrocytic subpopulations in control condition and displayed as the population percentage plot (Fig. 5h bottom panel). We then applied the same criteria on other shRNA conditions (Fig. 5h, bottom panel). From these population percentage plots we found that knock-down of Orai1 lead to a near 2-fold increase in “Small” subpopulation and a complete disappearance of “Huge” subpopulation (Fig. 5c, h). However, silencing of Orai2 did not affect the subpopulations (Fig. 5d, h). In Orai3 shRNA condition, the subpopulations were shifted to “Medium” with a complete disappearance of “Huge” component (Fig. 5e, h). In TrpC1 shRNA condition, although overall subpopulations remained similar to the control condition, there was an unexpected disappearance of “Small” subpopulation without affecting the rest of the subpopulations (Fig. 5f, h). Simultaneous gene silencing of Orai1/2/3 lead to an almost complete disappearance of “Huge” and “Large” subpopulations, which were replaced by “Small” subpopulation. Lastly, Stim1 shRNA condition showed a disappearance of “Medium,” “Large,” and “Huge” subpopulations, which were replaced by 95% of “Small” subpopulation.
These results allow us to make interesting conclusions about which SOCE components are responsible for each subpopulation. For example, Orai1 and Orai3 appear to be responsible for “Large” and “Huge” subpopulations. Orai2 appears to have a minimal contribution. TrpC1 appears to be responsible for “Small” subpopulation. Stim1 appears to be responsible for “Medium”, “Large,” and “Huge” subpopulations, but not “Small” subpopulation. These results raise possibilities that Orai1 and Orai3 work synergistically in astrocytic SOCE to elicit Huge SOCE, and that TrpC1 serves a suppressive role in SOCE because TrpC1 shRNA unmasked the “Large” subpopulation.
In summary, we have systematically investigated the astrocytic SOCE to resolve conflicting results from the previous studies [25,26,31]. To achieve this goal, we first determined the relative amount of mRNA of various SOCs in cultured astrocytes (Fig. 1). Then we developed and validated shRNAs for each SOCE component (Fig. 2). Using Ca2+ imaging we found a significant contribution of Stim1, Orai1, and Orai3 in astrocytic SOCE (Fig. 3 and 4). Finally, through the detailed population analysis of astrocytic SOCE, we developed a novel method to identify the SOC type by the degree of SOCE in each astrocyte (Fig. 5).
Through the detailed analysis of the Ca2+ imaging traces, we conclude that Orai1 and Orai3 are the major SOCs in cultured astrocytes. We demonstrated that among the four SOCs, Orai1 contributed the most to astrocytic SOCE in our experimental condition (35.7%; Fig. 4c, d). This value was found to be less contribution compared to the previous reports (50% in Moreno et al. 2012 and 70% in Linde et al. 2011) [17,26]. We found that the remaining portion was attributed to Orai2 (20.3%), Orai3 (26.8%), and TrpC1 (12.2%). These proportions match well with the mRNA expression levels (Fig. 1d, 4c, 4d). Given that Orai2 and Orai3 are also
In regards to TrpC1 we conclude that it contributed minimally to astrocytic SOCE (12.2%, Fig. 4c, d). This was in great contrast to the previous report of about 70% contribution of astrocytic SOCE by TrpC1 . This inconsistency might arise from the different gene-silencing strategy (antisense oligomer vs. shRNA), culture condition (embryonic culture of E17~18 vs. postnatal culture of P1), or type of astrocytes in culture (protoplasmic astrocytes vs. mixed culture of protoplasmic and fibrous astrocytes) between the previous study by Golovina et al. 2005 and current study. Among these differences, we speculate that the heterogeneity of astrocytic culture condition could be the most probable cause of this inconsistency. It is possible that TrpC1 is expressed in the protoplasmic astrocytes but not in the fibrous astrocytes. This possibility is supported by the low expression of TrpC1 mRNA (Fig. 1b, d), relatively small contribution of TrpC1 in astrocytic SOCE (~12.2%, Fig. 4c, d) and the disappearance of “Small” subpopulation (7.2%, Fig. 5h) by TrpC1 shRNA. Thus, it would be interesting to investigate in the future whether TrpC1 is expressed in protoplasmic astrocytes but not in fibrous astrocytes.
For the astrocytic ER depletion sensor, we conclude that Stim1 is the essential protein that mediates over 80% of astrocytic SOCE. Due to this dominant role of Stim1, it is possible that most of Orai channels interact with Stim1. These results indicate that the major astrocytic SOC complex is the Stim1-Orai complex. The remaining 20% of astrocytic SOCE might be regulated by Stim2 or other Stim1-independent mechanisms .
In the analysis of Ca2+ imaging traces, we defined and utilized the value of “Ratio,” which is the ratio value of the store operated-Ca2+ “Entry” divided by the ER Ca2+ “Release,” obtained from a single recording trace. “Release” component represents the Ca2+-store capacity of one cell, and “Entry” component represents the ability to refill ER-Ca2+ from extracellular source. Thus calculating the “Ratio” might represent how fast a cell can restore its ER-Ca2+ storage. This normalized ratio value provides a great advantage because it minimizes the confounding contribution of artifacts and variabilities due to different experimental conditions (i.e. recording intensity), recording systems (i.e. types of the microscopes), types of Ca2+ indicators (i.e. Ca2+ dye or proteins), or ER store capacity. We propose that this entry-to-release-ratio analysis is a practical and reliable method for studying SOCE because the value of ER Ca2+ release depends solely on SERCA and its ER capacity, but not by SOCE component.
In the in-depth subpopulation analysis using the entry-to-release ratios, we subdivided total population into four subpopulations by statistically meaningful ratio values. This analytical method allowed us to determine which SOCE component is responsible for each subpopulation (Fig. 5h). Based on this analysis, we found two distinctive features of astrocytic SOCE. First, given that both Orai1 and Orai3 are required for “Huge” subpopulation, the combination of Orai1 and Orai3 might have a synergistic action of huge SOCE. Because the previous study revealed that the heteromeric assembly of Orai1 and 3 exhibits a decreased fast channel inactivation kinetics compared to the homomeric Orai1 , the similar heteromeric Orai1/3 might exist in astrocytes. Second, as TrpC1 is required for “Small” subpopulation, our results raise the interesting possibility that TrpC1 expression might have a suppressive role in mediating astrocytic SOCE. This is in contrast to our initial expectation that TrpC1 would contribute to astrocytic SOCE. Considering the fact that TrpC1 is a nonselective cation channel with much lower Ca2+ permeability than Orai channels [36,37], we predict that TrpC1 competes with Orai channels to occupy the limited number of Stim1 molecules. This interesting possibility would propose TrpC1 as having a dominant negative role. Taken together, the combinatorial interaction between the limited number of Stim1 molecules and various SOCs such as Stim1-Orai homomer, Stim1-Orai1/3 heteromer, and Stim1-Orai/TrpC1 heteromer might be the cause of the observed heterogeneity of astrocytic SOCE.
In summary, we predict that the “Small” subpopulation exhibits relatively low level of SOCE and represents TrpC1 expressing cells, whereas “Huge” subpopulation exhibits very high level of SOCE and represents both Orai1 and Orai3 expressing cells. These findings allow us to suspect the molecular profile of astrocytes in specific situation by subdividing population with our criteria of SOCE “Ratio” values. Thus, we expect that our study will provide a useful platform to understand the role of astrocytic SOCE in pathophysiology. Under pathological conditions such as Alzheimer's disease, reactive astrocytes are reported to have chronically elevated basal Ca2+ [38,39,40,41]. It would be interesting to investigate whether astrocytes in Alzheimer's disease express a high level of both Orai1 and Orai3. And this elevated Ca2+ is closely associated with the memory loss in Alzheimer's disease since reactive astrocytes release tonic form of GABA by Ca2+-dependent manner, affecting the hippocampal neuronal excitability . Therefore, it would be interesting to test if the Stim1-Orai complex is involved in the elevation of basal Ca2+. These exciting possibilities await for future investigations.