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. 2021 Oct 2;24(11):103210. doi: 10.1016/j.isci.2021.103210

SLO2.1/NALCN a sodium signaling complex that regulates uterine activity

Juan J Ferreira 1,2,3, Chinwendu Amazu 1,3, Lis C Puga-Molina 1, Xiaofeng Ma 1, Sarah K England 1,, Celia M Santi 1,2,4,∗∗
PMCID: PMC8551532  PMID: 34746693

Summary

Depolarization of the myometrial smooth muscle cell (MSMC) resting membrane potential is necessary for the uterus to transition from a quiescent state to a contractile state. The molecular mechanisms involved in this transition are not completely understood. Here, we report that a coupled system between the Na+-activated K+ channel (SLO2.1) and the non-selective Na+ leak channel (NALCN) determines the MSMC membrane potential. Our data indicate that Na+ entering through NALCN acts as an intracellular signaling molecule that activates SLO2.1. Potassium efflux through SLO2.1 hyperpolarizes the membrane. A decrease in SLO2.1/NALCN activity induces membrane depolarization, triggering Ca2+ entry through voltage-dependent Ca2+ channels and promoting contraction. Consistent with functional coupling, our data show that NALCN and SLO2.1 are in close proximity in human MSMCs. We propose that these arrangements of SLO2.1 and NALCN permit these channels to functionally regulate MSMC membrane potential and cell excitability and modulate uterine contractility.

Subject area: Biological sciences, Cellular physiology, Cell biology, Functional aspects of cell biology

Graphical abstract

graphic file with name fx1.jpg

Highlights

  • The SLO2.1/NALCN complex controls uterine excitability.

  • A decrease in SLO2.1/NALCN activity triggers uterine contractility.


Biological sciences; Cellular physiology; Cell biology; Functional aspects of cell biology

Introduction

As pregnancy progresses, the uterus transitions from a quiescent state to a highly contractile state at labor. This transition is, in part, driven by changes in the electrical activity of the myometrial smooth muscle cells (MSMCs). At the end of the second trimester, MSMCs have a resting membrane potential of −75 mV, and the membrane potential depolarizes to −50 mV by the time of labor (Parkington et al., 1999). This change of membrane potential is coupled with an increase in the frequency of uterine contractions (Casteels and Kuriyama, 1965; Parkington et al., 1999). The membrane potential is determined primarily by the balance between an outward potassium (K+) leak current and an inward sodium (Na+) leak current across the plasma membrane. If K+ efflux increases, the membrane potential becomes more negative, promoting quiescence. Conversely, it has long been thought that increased Na+ in flux causes the membrane potential to depolarize, promoting a more excitable and contractile uterine state due to the opening of voltage-gated Ca2+ channels. However, the mechanisms by which Na+ influx and K+ efflux are coordinated have not been fully defined.

We previously reported that SLO2.1, a member of the SLO2 family of Na+-activated K+ channels, is expressed in human MSMCs (Hage and Salkoff, 2012; Yuan et al., 2003; Dryer, 2003; Ferreira et al., 2019). This channel has low voltage dependence and high conductance and can be significantly active at physiological intracellular Na+ concentration (Budelli et al., 2009; Hage and Salkoff, 2012; Ferreira et al., 2019). Moreover, siRNA-mediated knockdown of SLO2.1 in immortalized human myometrial cells completely abolished Na+-activated K+ efflux (Ferreira et al., 2019), indicating that SLO2.1 modulates MSMC membrane potential and cell excitability by regulating K+ efflux. SLO2 channels are also highly expressed in other smooth muscle cells and the brain (Dryer, 2003; Kameyama et al., 1984; Smith et al., 2018; Li et al., 2019), where they form complexes with voltage-gated Na+ channels (Hage and Salkoff, 2012; Takahashi and Yoshino, 2015). In these complexes, the Na+ conducted through Na+ channels modulate K+ currents and their effect on membrane potential. Whether SLO2.1 forms a functional complex with a voltage-gated Na+ channel in human MSMCs to modulate membrane potential and cell excitability is unknown. However, the voltage-independent Na+ leak channel non-selective (NALCN) is expressed in human MSMCs, where it conducts about 50% of the Na+ leak current at the membrane potential (Reinl et al., 2015). Thus, NALCN could be the channel that allows influx of Na+ to modulate SLO2.1 and thereby helps regulate membrane potential in MSMCs. Here, we provide evidence that SLO2.1 and NALCN form a functional complex that can regulate human MSMC membrane potential, excitability, and uterine contractility.

Results

Na+ influx through NALCN activates SLO2.1 in human MSMCs

To test the hypothesis that Na+ influx through NALCN activates SLO2.1, we first performed whole-cell patch-clamp on primary human MSMCs treated with the SLO1 K+ channel blocker tetraethylammonium (TEA) (Figure 1A) (Khan et al., 1993). Consistent with our previous findings in MSMCs (Ferreira et al., 2019) and others' findings in neurons (Hage and Salkoff, 2012; Takahashi and Yoshino, 2015), the addition of 80 mM extracellular Na+ led to an 80–100% increase in K+ currents at +80 mV and at −60 mV (Figure 1B), confirming that SLO2.1 is a Na+-activated K+ channel. Next, we performed similar experiments in the presence of the Na+ leak channel blocker gadolinium (Gd3+) and found that 10 μM Gd3+ completely inhibited the K+ current activated by the addition of extracellular Na+ (Figures 1C–1E). These results indicate that the Na+ that activates K+ efflux through SLO2.1 enters MSMCs through a Na+ leak channel.

Figure 1.

Figure 1

SLO2.1 channels are activated by an NALCN-dependent Na+ leak current in human MSMCs

(A) Schematic of whole-cell bath and pipette ionic concentrations. TEA, tetraethylammonium.

(B) Representative whole-cell currents (Vh = 0 mV, with step pulses from −80 to +150 mV) from human MSMCs recorded in 0 mM Na+ or 80 mM external Na+. The Na+-dependent currents were calculated by subtracting traces (80 mM–0 mM Na+).

(C) Same as (B), in the presence of 10 μM Gd3+.

(D and E) Graphs depicting the percentage of Na+-dependent currents at +80 mV and −60 mV, respectively, in 0 μM Gd3+ or 10 μM Gd3+(n = 5 cells; data plotted as the mean and standard deviation). In (D), values are 94.75 ± 77.14 for 0 μM Gd3+ and 11.20 ± 16.36 for 10 μM Gd3+. In (E), values are 89.24 ± 63.56 for 0 μM Gd3+ and 3.51 ± 23.50 for 10 μM Gd3+.

(F) Schematic of whole-cell bath and pipette ionic concentrations.

(G) Representative whole-cell currents (Vh = 0 mV, with step pulses from −80 to +150 mV) from hTERT cells recorded in 0 mM Na+ or 80 mM external Na+. The Na+-dependent currents were calculated by subtracting traces (80 mM–0 mM Na+).

(H) Same as (G), in the presence of 50 μM CP96345 (CP) (NALCN inhibitor).

(I and J) Graphs depicting the percentage of Na+-dependent currents at +80 mV and −60 mV, respectively, in 0 μM CP or 60 μM CP (n = 6 and 8 cells for 0 and 50 μM CP, respectively; data plotted as the mean and standard deviation). In (I), values are 83.09 ± 20.57 for 0 μM CP and 6.50 ± 13.48 for 50 μM CP. In (J), values are 91.59 ± 68.47 for 0 μM CP and 8.19 ± 56.77 for 50 μM CP. ∗p < 0.05 by unpaired t test.

See Figure S2.

To confirm that NALCN is the predominant carrier of the Na+ that activates SLO2.1, we performed similar experiments using the specific NALCN inhibitor, CP96345. CP96345 inhibited about 80% of the induced NALCN currents in HEK293 cells (Hahn et al., 2020). In our hands, CP96345 inhibited over 50% of the endogenous Na+ leak current at −60 mV in hTERT cells (Figure S2). The K+ current activated by the addition of extracellular Na+ was almost completely inhibited by the presence of CP96345 in the extracellular solution (Figures 1H–1J). Conversely, Gd3+ and CP96345 did not affect the SLO2.1 K + current when the intracellular solution contained 80 mM Na+ (Figures S3A–S3F).

SLO2.1-induced membrane hyperpolarization is modulated by an NALCN-dependent Na+ leak current

Efflux of K+ hyperpolarizes the MSMC membrane potential, so we determined whether Na+ influx could activate SLO2.1 and thereby lead to membrane hyperpolarization. To measure changes in membrane potential, we performed flow cytometry of MSMCs in the presence of the fluorescent dye DiSC3(5), a cationic voltage-sensitive dye that accumulates on hyperpolarized membranes (Plasek and Hrouda, 1991; Santi et al., 2010; Molina et al., 2019). Treating the cells with 80 mM extracellular Na+ led to a 30.48 ± 20.62% increase in DiSC3(5) fluorescence, indicating that membrane hyperpolarization was activated by Na+ influx. In contrast, treating the cells with 80 mM choline, an impermeable cation, only led to a 9.91 ± 9.76% increase in DiSC3(5) fluorescence, indicating that the effect of Na+ was not due to a change in osmolarity (Figure 2). Additionally, treating the cells with 80 mM lithium (Li+), a permeable cation that does not activate SLO2.1, only led to a 2.01 ± 6.54% increase in DiSC3(5) fluorescence (Figure 2A), indicating that Na+ influx, and not simply a change in membrane potential, activated SLO2.1.

Figure 2.

Figure 2

Activation of SLO2.1 by the NALCN-dependent Na+ leak hyperpolarizes the membrane potential

(A) Experimental schemes and representative images of relative shifts of DiSC3(5) fluorescence induced by 80 mM sodium, 80 mM choline, 80 mM lithium, 10 μM gadolinium (Gd3+), and 50 μM CP96345 (NALCN Inhibitor) in hTERT-HM cells.

(B) Quantification of shifts in cells by sodium (n = 26), choline (n = 15), lithium (n = 6), and sodium plus Gd3+(n = 5) or NALCN inhibitor (n = 6) normalized to changes in fluorescence in the presence of valinomycin. Data are presented as mean and standard deviation. ∗∗p < 0.01, ∗∗∗p < 0.001 by unpaired t test with Mann-Whitney corrections.

See Figures S2–S4.

To determine whether NALCN was responsible for Na+ influx and membrane hyperpolarization, we performed several experiments. First, we treated cells with Gd3+. In this condition, the addition of Na+ only increased DiSC3(5) fluorescence by 6.01 ± 7.16% (Figure 2). This response was similar to the increased DiSC3(5) fluorescence measured in cells treated only with choline or Li+ (P = 0.163 and 0.662, respectively) (Figure 2). In a separate experiment, we found that, in the presence of Gd3+, Na+ and choline increased DiSC3(5) fluorescence by similar amounts (5.63 ± 4.57% vs. 6.01 ± 7.16%, P = 0.833) (Figure S4A).

Second, we treated cells with CP96345. In this condition, addition of Na+ only increased DiSC3(5) fluorescence by 2.95 ± 7.20%, similar to results obtained from cells treated with choline, Li+, or Gd3+ plus Na+ (Figure 2). CP96347 reduced 90% of the Na+-induced hyperpolarization (2.95% vs 27.63%) in hTERT cells (Figure 2B).

Third, because Gd3+ inhibits transient receptor potential canonical (TRPC) channels, which primarily conduct Ca2+ but can also conduct Na+ (Babich et al., 2004; Dalrymple et al., 2002, 2007; Ku et al., 2006; Wang et al., 2020), we used TRPC inhibitors. Specifically, we chose GsMTx-4 and Pyr3 because these drugs inhibit TRPC1/TRPC6 and TRPC3, respectively (Lu et al., 2007; Bowman et al., 2007; Kiyonaka et al., 2009), the three TRPC channels expressed in MSMCs (Babich et al., 2004; Dalrymple et al., 2002, 2007; Ku et al., 2006; Wang et al., 2020). In the presence of GsMTx-4 and Pyr3, Na+ induced an increase in DiSC3(5) fluorescence significantly greater than in the presence of Gd3+ (17.77 ± 12.10% vs. 6.01 ± 7.16%, P = 0.029) (Figure S4B). Additionally, in the presence of GsMTx-4 and Pyr3, Na+ induced a greater increase in DiSC3(5) fluorescence than that induced by choline (17.77 ± 12.10% vs. 5.21 ± 6.426, P = 0.008) (Figure S4B).

Finally, we asked whether any of these inhibitors directly affected SLO2.1. We found that neither Gd3+ nor CP96345 directly affected SLO2.1 currents (Figures S3A–S3F), but GsMTx-4 and Pyr3 significantly reduced SLO2.1 currents (Figures S3G–S3I). Therefore, the reduction in Na+-induced hyperpolarization measured in the presence of TRPC inhibitors could be due to direct inhibition of SLO2.1 channels. From these experiments, we conclude that Na+ influx through NALCN is responsible for 60–90% of the Na+-activated, SLO2.1-dependent hyperpolarization in human MSMCs.

Functional coupling of Na+ influx and K+ efflux modulates MSMC Ca2+ responses and myometrial contractility

Our data thus far suggested that Na+ influx through NALCN activated SLO2.1, leading to K+ efflux and MSMC membrane hyperpolarization. To determine whether these effects on ion channel activity and membrane potential had a functional outcome, we first examined the effects on intracellular calcium (Ca2+). In human MSMCs, membrane depolarization increases Ca2+ influx through voltage-dependent Ca2+ channels (VDCCs), and Ferreira et al. showed that inhibiting SLO2.1 triggered Ca2+ entry through VDCCs (Ferreira et al., 2019). Thus, we hypothesized that Na+ influx through NALCN would activate SLO2.1, leading to K+ efflux, membrane hyperpolarization, and inhibition of Ca2+ influx.

To test this idea, we used the Ca2+ indicator Fluo4-AM to measure intracellular Ca2+ concentration. MSMCs at baseline have low-frequency spontaneous Ca2+ oscillations (Lynn et al., 1993). When we depolarized MSMCs with high concentrations of external KCl (20 and 50 mM), we saw a significant increase in intracellular Ca2+ oscillations (Figure 3A). Next, to evaluate the effects of extracellular Na+ on Ca2+ oscillations, we treated MSMCs with either 0 mM NaCl plus 160 mM choline (to prevent Na+ influx but maintain osmolarity) or 80 mM NaCl plus 80 mM choline (to promote Na+ influx). Ca2+ oscillations similar to those induced by 50 mM KCl were evident in the presence of 0 mM NaCl but not in the presence of 80 mM NaCl (Figures 3B and S6A). These results are in agreement with data reported by Morgan et al.,.1993 (Morgan et al., 1993). We then performed experiments in which we substituted Na+ with Li+, which does not activate SLO2.1. Ca2+ oscillations similar to those induced by 50 mM KCl were evident in the presence of 135 mM Li+ but not in the presence of 135 mM Na+ (Figures 3C and 3D).

Figure 3.

Figure 3

Na+ leak regulates intracellular calcium homeostasis and basal tension in human MSMCs and myometrial tissue

(A–C) Representative fluorescence traces from human MSMCs loaded with 10 μM Fluo-4 AM in the presence of (A) 5, 10, 20, and 50 mM external KCl; (B) 80 mM Na+ or choline, and (C) 135 mM Na+ or Li+.

(D) Graphs of the areas under the curve of the first 5 min after changing the solutions in (B) and (C), and Figure S6C. In (D), The mean values are 8.19 ± 8.9 (SD) (n = 21) for Na+, 61.5 ± 43.6 (SD) (n = 10) for choline, 80.3 ± 55.8 (SD) (n = 9) for Li+, and 3.3 ± 2.8 (SD) (n = 3) for Li+ + verapamil (Figure S6C).

(E) Graphs of the area under the curve (AUC) after 20 min in the indicated solutions. In (E), values are 7.0 ± 7.7 (SD) (n = 21) for Na+, 34.2 ± 22.9 (SD) (n = 10) for Li+, and 6.94 ± 6.7 (SD) (n = 4) for Li++EGTA (Figure S6B). All data were normalized to the fluorescence in 5μM ionomycin and 2 mM extracellular Ca2+ (Iono), and all data are presented as mean and standard deviation.

(F) Representative tension-recording trace of myometrial tissue (obtained from a woman undergoing elective cesarean delivery) in normal and low extracellular Na+.

(G and H) Quantification of (G) basal tension and (H) AUC when the tissue was bathed with control or low Na+ solutions. Data are presented as mean and standard deviation; n = 4 for each. ∗p < 0.05, ∗∗p < 0.01, and ∗∗∗p < 0.001 by (D and E) unpaired t test or (G and H) paired t test.

See Figure S6.

To confirm that the Ca2+ oscillations in 0 mM NaCl (135 mM Li+) were dependent on extracellular free Ca2+, we repeated the Li+ experiment in the presence of 0 mM extracellular Ca2+ plus 2 mM EGTA or the VDCC blocker verapamil (Figures S6B and S6C). We observed no intracellular Ca2+ oscillations in conditions of 0mM extracellular Ca2+ + Li+. We also found that significantly fewer cells responded to Li+ plus verapamil than to Li+ alone (61.8 ± 20.62, n = 5, and 9.8 ± 1.9, n = 3, respectively) (Figures 3D and 3E, Figures S6B and S6C). We conclude that, in the absence of Na+ influx through NALCN, SLO2.1 channels are less active, thus reducing K+ efflux and depolarizing the MSMC membrane, leading to VDCC activation and Ca2+ oscillations.

In MSMCs, increases in intracellular Ca2+ activate MSMC contractile machinery. To determine whether low extracellular Na+ would increase uterine muscle basal tension and contractility, we performed tension recording on myometrial strips obtained from women who underwent an elective cesarean delivery. Figure 3F shows a representative trace of a myometrial strip bathed in normal Krebs solution containing 133 mM Na+. When the extracellular Na+ was reduced from 133 mM to 33.25 mM, both the basal (0.61 ± 0.15 g vs. 2.51 ± 0.68 g, P = 0.0104) and total (219 ± 113 g vs. 1118 ± 366.4 g, P = 0.0251) tension produced by the myometrial strips significantly increased (Figures 3F–3H), but rhythmic contractions decreased. This finding supports the idea that Na+ influx is needed to activate SLO2.1 to maintain uterine quiescence.

NALCN and SLO2.1 co-localize in human MSMCs

The above data together suggest that Na+ influx through NALCN activates SLO2.1, leading to K+ efflux, membrane hyperpolarization, and decreased intracellular Ca2+. These findings, combined with the knowledge that SLO2.1 forms functional complexes with the Na+ channels that activate it in neurons (Hage and Salkoff, 2012; Takahashi and Yoshino, 2015), led us to propose that NALCN co-localizes with SLO2.1 in human MSMCs. To test this idea, we performed in situ proximity ligation assays in both human primary MSMCs and hTERT-HM cells. In this assay, cells are stained with antibodies recognizing the two proteins of interest and DNA-tagged secondary antibodies. If the two proteins are within 40 nm of one another, DNA ligation and amplification occur, which can then be detected as fluorescent punctae in the cells. In both MSMCs and hTERT-HMs, we detected significantly more punctae in cells stained with antibodies specific to NALCN and SLO2.1 than in cells stained with either antibody alone or only secondary antibodies (Figure 4). We did not detect co-localization between NALCN and SLO1 channels in hTERT cells (Figure S5). We conclude that NALCN and SLO2.1 are in spatial proximity in human MSMCs.

Figure 4.

Figure 4

NALCN and SLO2.1 are in proximity in human MSMCs cells

(A) Representative proximity ligation assay (PLA) labeling of hTERT-HM and human MSMCs with the indicated single antibodies and antibody combinations. (Scale bar, 10 μm).

(B and C) Average number of PLA punctae in (B) hTERT-HM cells (n = 4) and (C) human primary MSMCs (from n = 4 patients). Over 300 cells per condition were processed. Data are presented as mean and standard deviation. ∗p < 0.050 and ∗∗∗p < 0.001 by unpaired t test.

See Figure S5 for negative controls (SLO1 and NALCN).

Discussion

Here, we have presented four lines of evidence that NALCN and SLO2.1 functionally interact to modulate MSMC membrane potential and excitability. First, we report that SLO2.1 activity is activated by Na+ influx carried predominately by an NALCN-dependent Na+ leak current. Second, this activation of SLO2.1 leads to membrane hyperpolarization, and we show that Na+ influx through NALCN is responsible for 60–90% of the SLO2.1-dependent hyperpolarization in human MSMCs. Third, we show that NALCN-mediated regulation of SLO2.1 activity, in turn, regulates Ca2+ entry through VDCCs and influences myometrial contractility. Finally, we show that NALCN and SLO2.1 are in spatial proximity in MSMC membranes.

The functional coupling of SL O 2.1 K+ currents to Na+ inward currents suggest a highly specialized relationship between SLO2.1 and NALCN channels, resembling the colocalization between calcium channels and the Slo1 calcium-activated potassium channel (BK) (Marrion and Tavalin, 1998). Although the coupling of SLO2.1 to NALCN channels may be analogous, the two orders of magnitude difference in the Na+ and Ca2+ concentrations required to activate the respective K+-channels suggests some differences. One possible mechanism for the functional coupling of SLO2.1 and NALCN currents is their presence in a region of limited diffusion near the plasma membrane. Physiological evidence of such a region (known as fuzzy space) has been reported in cardiac myocytes (Barry, 2006; Semb and Sejersted, 1996). Second, the microheterogeneity of Na+ concentrations in internal submembrane space has been directly measured (Wendt-Gallitelli et al., 1993). Thus, it is possible that a small but constant influx of Na+ through NALCN is responsible for increasing Na+ concentration in localized submembrane regions where Na+-activated K+ channels are located. The spatial proximity that we found between SLO2.1 and NALCN channels likely allows NALCN to locally modify the Na+ concentration in intracellular microdomains containing SLO2.1 without changing the bulk intracellular Na+ concentration (Hage and Salkoff, 2012; Li et al., 2019). Future biochemical work should address whether NALCN and SLO2.1 are in a physical complex.

We recently published evidence regarding another mechanism by which SLO2.1 is regulated in human MSMCs. In that work, we found that oxytocin acting through a non-canonical pathway inhibits SLO2.1 and induces an increase in intracellular Ca2+ by opening VDCC (Ferreira et al., 2019). These results were in line with data published by Arnaudeau et al., suggesting that oxytocin has a sustained effect on the VDCC-dependent intracellular Ca2+ concentration in MSMCs from pregnant rats (Arnaudeau et al., 1994). We also recently demonstrated that NALCN expression and activity are regulated by the hormones progesterone and estrogen (Amazu et al., 2020).

Taken together, our work and the work of others lead us to propose the model shown in Figure 5. During the quiescent state, progesterone upregulates the expression of NALCN (Amazu et al., 2020), leading to an increase in the NALCN-dependent Na+ leak current. This Na+ influx activates SLO2.1 channels locally, leading to K+ efflux and membrane hyperpolarization. This hyperpolarization promotes the closed state of VDCCs, limiting Ca2+ influx and contractility. During the contractile state, estrogen inhibits the expression of NALCN, reducing Na+ influx and preventing SLO2.1 activation. As a result of decreased SLO2.1-mediated K+ efflux, the membrane depolarizes, leading to VDCC activation, Ca2+ influx, activation of MSMC contractile machinery, and uterine contractions. Additionally, at labor, oxytocin further induces Ca2+ release from intracellular stores and inhibits SLO2.1 activity via signaling through the protein kinase C pathway (Ferreira et al., 2019). Future work will be aimed at further testing this model and defining the mechanisms by which the actions of the hormones progesterone, estrogen, and oxytocin work in concert with the activity of ion channels to regulate MSMC excitability and contractility appropriately during pregnancy.

Figure 5.

Figure 5

Proposed model by which the NALCN/SLO2.1 complex regulates myometrial excitability

During the quiescent state, progesterone binding to the progesterone receptor (PRA/B) increases NALCN expression and activity (Amazu et al., 2020). Sodium current through NALCN activates SLO2.1 channels, increasing K+ efflux to maintain the cell in a hyperpolarized state. As a result, voltage-dependent Ca2+ channels (VDCCs) are closed, and uterine contractions do not occur. In the contractile state, estrogen acting on ERα inhibits NALCN expression (Amazu et al., 2020), leading to decreased SLO2.1 activity. The reduced K+ efflux depolarizes the membrane, leading to VDCC activation, an increase in intracellular Ca2+, and uterine contractility. At labor, oxytocin (OXT) binds to the oxytocin receptor (OTR), leading to activation of phospholipase C (PLC), production of phosphatidyl inositol 4,5-bisphosphate (PIP2), and production of inositol triphosphate (IP3). IP3 activates the release of Ca2+ from intracellular stores, and PIP2 activates protein kinase C (PKC), which inhibits SLO2.1 (Ferreira et al., 2019). This SLO2.1 inhibition further depolarizes the membrane, thus opening more VDCCs, increasing intracellular Ca2+, and further activating myosin to cause muscle contraction. Figure designed and created by Anthony Bartley and Chrystie Tyler.

In addition to SLO2.1, MSMCs express other K+ channels including the inward rectifier Kir7.1 and Ca2+-activated Slo1.1 channels (Ferreira et al., 2019; Mccloskey et al., 2014; Brainard et al., 2007; Khan et al., 1993). Expression of Kir7.1 channels peaks in mid-pregnancy in mice, and Kir7.1 currents contribute to maintaining a hyperpolarized membrane potential and low contractility during the quiescent stage of pregnancy in both mouse and human uterine tissue (Mccloskey et al., 2014). This suggests that Kir7.1 could contribute to regulating the transition from the quiescent to the contractile state during pregnancy. However, Ferreira et al. showed that Slo1.1 and SLO2.1 together contribute to ∼87% of the K+ current in human MSMCs (Ferreira et al., 2019). Further work is thus needed to fully define the activities of the numerous K+ channels in MSMCs.

In addition to NALCN, MSMCs from rats and humans express other channels that conduct Na+, such as the TRPC family members TRPC1, 3, and 6 (Lacampagne et al., 1994; Yang and Sachs, 1989; Babich et al., 2004; Dalrymple et al., 2002, 2007; Ku et al., 2006; Wang et al., 2020). Although these channels are inhibited by Gd3+, we show here that TRPC1, 3, and 6 jointly contribute to a minority of the Na+-activated hyperpolarization in human MSMCs. The exact regulation and role of TRPCs during pregnancy is under investigation. In one study, TRCP6 mRNA and protein expression were downregulated, whereas TRPC1 expression was unchanged, during pregnancy in rats (Babich et al., 2004). However, others report that TRPCs are sensitive to multiple signals in vitro including mechanical stretch and IL-1β that are important during labor (Csapo et al., 1965; Dalrymple et al., 2007; Douglas et al., 1988). Thus, although TRPCs seem to play some role in regulating MSMC membrane potential, their more important role may be in regulating MSMC activity during labor.

Previous work showed that depolarizing Na+ leak currents could contribute to pacemaker activity in dopaminergic neurons and gastrointestinal cells (Khaliq and Bean, 2010; Kim et al., 2012; Koh et al., 2002). Given that MSMC action potentials are driven by an influx of Ca2+ through VDCC that open in response to a slow recurrent depolarization between action potentials (pacemaker current) (Amedee et al., 1987; Kuriyama and Suzuki, 1976; Wray et al., 2003; Lammers, 2013), it seemed possible that NALCN regulates pacemaker activity in MSMCs. However, if NALCN were involved in setting the pacemaker activity, cells lacking NALCN should have a disrupted inter-burst frequency of action potentials. Instead, MSMCs from NALCN knockout mice at day 19 of pregnancy only showed a significant reduction in the burst duration and no significant effect on the inter-burst frequency (Reinl et al., 2018). In conclusion, these results suggest that, instead of regulating the pacemaker, NALCN regulates myometrial excitability by modulating the permeability of other ions (particularly K+) and thereby regulating MSMC membrane potential (Ferreira et al., 2019; Reinl et al., 2015, 2018). Additional work is needed to establish the contribution of the functional NALCN and SLO2.1 complex to myometrial excitability at different stages of pregnancy.

Limitations of the study

As with all studies, the design of this study is subject to limitations. There are limitations in our work that could be addressed in future research. First, the study used human myometrial samples isolated from the lower uterine segment obtained from non-laboring women at term (37 weeks of gestation) and hTERT-HM, an immortalized non-pregnant myometrial cell line. Further research is needed to establish the exact contribution of the functional NALCN and SLO2.1 complex to myometrial excitability at different stages of pregnancy and at other locations within the uterus. Second, our study probes whether NALCN and SLO2.1 are in a functional complex. Future biochemical studies should address whether they are in a physical complex. Despite these limitations, our work presents clear evidence of NALCN and SLO2.1 channels functionally interacting to regulate myometrial excitability.

STAR★Methods

Key resources table

REAGENT or RESOURCE SOURCE IDENTIFIER
Antibodies

Mouse Anti-Rat NALCN Monoclonal IgG1 StressMarq Cat#:SMC-417 (S187-7); RRID: AB_2701253
Anti-KCNT2 (Slick) Antibody. (KCa4.2, Slo2.1 Na+ and Cl--activated K+ channel, Potassium channel subfamily T member 2) Alomone labs Cat#: APC-126; AB_10613114.
Anti-SLO1α (Maxi-K+). Mouse IgG1. BD Transduction Laboratories™ (BD Biosciences) Cat#: 611249
RRID:AB_398779

Biological samples

Patient-derived: Primary culture of myometrial smooth muscle cells from non-laboring women at term (37 weeks of gestation) during elective Cesarean. Barnes-Jewish Hospital in Saint Louis. (Department of Obstetrics and Gynecology) N/A

Chemicals, peptides, and recombinant proteins

Fluo-4 AM Invitrogen F14201
Fetal Bovine Serum (FBS) Thermo Fisher Cat#:26140079
Ionomycin Sigma-Aldrich Cat#: I0634-1MG
Hoechst 33342 (hydrochloride) Cayman Chemical Company Cat#: 875756971
DiSC3(5) Thermo Fisher Scientific Cat#: D306
CP96345 (CP) TOCRIS Bioscience, Bristol, UK Cat # 2893

Critical commercial assays

Duolinkin situ proximity ligation assay (Sigma, St. Louis, MO) DUO92021

Experimental models: Cell lines

Human telomerase reverse transcriptase-immortalized myometrial cells (hTERT-HM) Duke/UNC/UT/EBI ENCODE group Immortalized myometrial cells obtained from uterus (Condon et al., 2002). https://genome.ucsc.edu/ENCODE/protocols/cell/human/Myometr_Crawford_protocol.pdf

Software and algorithms

Leica LasX2.0.014332 software Leica Microsystems
ImageJ NIH https://imagej.nih.gov/ij/
SigmaPlot 12 (Jandel Scientific) https://systatsoftware.com/sigmaplot/
Muscle strip myographdata acquisition system (DMT,Ann Arbor, MI) https://www.dmt.dk/muscle.html
LabChart 8 (ADInstruments, Colorado Springs, CO) https://www.adinstruments.com/products/labchart
Clampfit 10.6 (Molecular Devices) https://www.moleculardevices.com/products/axon-patch-clamp-system/acquisition-and-analysis-software/pclamp-software-suite#gref

Other

Leica AF 6000LX system Leica Microsystems https://www.leica-microsystems.com/products/light-microscopes/p/leica-dmi6000-b/
Leica DMi8000 inverted microscope Leica Microsystems https://www.leica-microsystems.com/products/light-microscopes/inverted-microscopes/
Andor-Zyla-VCS04494 camera. Oxford Instruments plc https://andor.oxinst.com/products/scmos-camera-series/?gclid=CjwKCAjw7rWKBhAtEiwAJ3CWLEIXiiRwCP5KylxfH0uKOSSNMWiE5iVo95OwD_5jMUBeM0Qqwv8YjxoCN4gQAvD_BwE
8-well chambered slides (LabTek/Sigma, St. Louis, MO) PEZGS0896
FACSCanto II TM cytometer (BD Biosciences, Franklin Lakes, NJ). https://www.bdbiosciences.com/en-ca
Axopatch 200B (Molecular Devices) https://www.moleculardevices.com/

Resource availability

Lead contact

Further information and requests should be directed to and will be fulfilled by the Lead Contact, Celia M. Santi (Santic@wustl.edu), 425 S. Euclid Avenue, CB 8064, St. Louis, MO 63110, Phone: 314-286-1775.

Materials availability

This study did not generate new unique reagents.

Experimental model and subject details

Ethical approval and acquisition of human samples

This study was approved by the Washington University in St. Louis Institutional Review Board (protocol no. 201108143) and conformed to the Declaration of Helsinki except for registration in a database. We obtained signed written consent from each patient. Human tissue samples (0.1-1.0 cm2) from the lower uterine segment were obtained from non-laboring women at term (37 weeks of gestation) during elective Cesarean section under spinal anesthesia. Samples were stored at 4°C in phosphate-buffered saline (PBS) and processed for MSMC isolation within 60 min of acquisition.

Cell culture

Primary human MSMCs were isolated and cultured as previously described (1). Briefly, tissue was treated with PBS containing 50μg/mL gentamicin and 5μg/ml fungizone, then cut into 2 to 3 mm pieces and cultured in DMEM:F12 medium with 5% Fetal Bovine Serum (FBS), 0.2% fibroblast growth factor-β, 0.1% epidermal growth factor, 0.05% insulin, 0.05% gentamicin, and 0.05% fungizone. Colonies were amplified to form primary cell cultures. Primary MSMCs and human telomerase reverse transcriptase-immortalized myometrial cells (hTERT-HM) were incubated at 37°C and 5% CO2 in phenol–red-free DMEM:F12 medium with 10% FBS, 100 units/ml penicillin, and 100 μg/ml streptomycin or 25 μg/mL gentamicin (Sigma, St. Louis, MO)(2). Primary MSMCs were used within two passages, and hTERT-HM cells were used in passages lower than 15.

Method details

Electrophysiology

Cells were starved in serum-free DMEM:F12 for at least 2 hours before experiments. For all experiments, pipettes were pulled from borosilicate glass from Warner Instruments. For whole-cell recording, pipettes with a resistance of 0.8 to 1.8 megaohms and symmetrical K+ were used. External solution was (in mM): 160 KCl, 80 NaCl, 2 MgCl2, 10 HEPES, and 5 TEA, pH adjusted to 7.4 with NaOH. For the 0 mM Na+ solution, Na+ was replaced with 80 mM CholineCl, and pH was adjusted with KOH; the concentration of external K+ varied from 4.5 to 5.5 mM. The pipettes were filled with (in mM): 160 KCl, 80 cholineCl or 80 NaCl, 10 HEPES, 0.6 free Mg2+, and either 0 or 100 nM free Ca2+ solutions with 1 mM EGTA. Variations in the solutions are indicated in the figures. During electrophysiological experiments, the cells and the intracellular side of the membrane were perfuse continuously. NALCN inhibitor used for experiments in Figure 1, CP96345 (CP) was obtained from TOCRIS Bioscience, Bristol, UK, Cat # 2893. Traces were acquired with an Axopatch 200B (Molecular Devices), digitized at 10 kHz for whole-cell or macro-patch recordings or at 100 kHz for single-channel recordings. Recordings were filtered at 2 kHz, and pClamp 10.6 (Molecular Devices) and SigmaPlot 12 (Jandel Scientific) were used to analyze the data.

Determination of membrane potential by flow cytometry

hTERT-HM cells were centrifuged at 1000 rpm for 5 min. Cells were resuspended in modified Ringers solution containing (in mM): 80 Choline Cl, 10 HEPES, 5 Glucose, 5 KCl, and 2 CaCl2; pH 7.4). Before recording, 0.02 mg/mL Hoechst and 150 nM DiSC3(5) were added to 500 μL of cell suspension, and data were recorded as individual cellular events on a FACSCanto II TM cytometer (BD Biosciences, Franklin Lakes, NJ). Side scatter area (SSC-A) and forward scatter area (FSC-A) fluorescence data were collected from 100,000 events per recording. Threshold levels for FSC-A and SSC-A were set to exclude signals from cellular debris (Figure S1A). Doublets, aggregates, and cell debris were excluded from the analysis based on a dual parameter dot plot in which pulse signal (signal high; SSC-H; y-axis) versus signal area (SSC-A; x-axis) was displayed (Figure S1B). Living Hoechst-negative cells were selected by using the filter Pacific Blue; (450/50), and DiSC3(5)-positive cells were detected with the filter for allophycocyanine APC; (660/20) (Figure S1C).To measure the effect of Na+ on membrane potential, 80 mM NaCl, Choline chloride, or Lithium (Li+) was added to the 500 μL suspensions. In some cases, as indicated in the figures, 10 μM gadolinium (Gd3+), a concentration known to inhibit NALCN current (3), 500 nM GsMTx4 (a peptide inhibitor of TRPC1 and TRPC6 isolated from Grammostolaspatulata spider venom), and 1μM Pyr3 (pyrazole; blocks TRPC3 inhibitor) were added to the cell suspension (3-5). Valinomycin hyperpolarizes the cell according to the equilibrium potential for K+. Normalization was performed according to (FRef-FIono)/(FValino-FIono), being FRef median of the fluorescence of the population in the basal condition, FIono after the addition of the cation, and FValino after addition of Valinomycin. Normalization was performed by adding 1 μM valinomycin (Sigma, St. Louis, MO). FlowJo 10.6.1 software was used to analyze data, reported as median values.

Calcium imaging

Cells were grown on glass coverslips with the media described above for MSMCs. Cells were pre-incubated with 2 μM Fluo-4 AM and 0.05-0.1% Pluronic Acid F-127 in Opti-Mem for 60-90 min. To allow the dye to equilibrate in the cells, the cells were removed from the loading solutions and placed in Ringer solution for 10 to 20 minutes. The various solutions were applied with a perfusion system with an estimated exchange time of 1.5 s. Recordings started 2-5 min before the addition of the first test solution. Ionomycin (5 μM) was added at the end of the recordings as a control stimulus. Calcium (Ca2+) signals were recorded with a Leica AF 6000LX system with a Leica DMi8000 inverted microscope and an Andor-Zyla-VCS04494 camera. A halogen lamp was used with a 488 +/- 20 nm excitation filter and a 530 +/- 20 nm emission filter. A 40X (HC PL FluoTar L 40X/0.70 Dry) or a 20X (N-Plan L 20X/0.35 Dry) air objective were used. Leica LasX2.0.014332 software was used to collect data and control the system. Acquisition parameters were: 120 ms exposure time, 2x2 binning, 512 x 512 pixels resolution, and a voxel size of 1.3 μm for the 20X objective. Whole images were collected very 10 seconds. LAS X, ImageJ, Clampfit 10 (Molecular Devices), and SigmaPlot 12 were used to analyze data. Changes in intracellular Ca2+ concentration are presented as (F/FIono) after background subtraction. All imaging experiments were done at room temperature. Cells were counted as responsive if they had changes in fluorescence of at least 5-10% of ionomycin responses.

Isometric tension recording

Human myometrial tissues (0.1-1.0 cm2) from four non-laboring women at term were isolated and cut into strips (10 x 2 mm) and immediately placed in 4°C Krebs solution containing (in mM): 133 NaCl, 4.7 KCl, 1.2 MgSO4, 1.2 KH2PO4, 10 TES, 1.2 CaCl2, and 11.1 glucose, pH 7.4. Strips were mounted to a force transducer in organ baths filled with oxygenated (95% O2, 5% CO2) Krebs solution at 35.7°C, and tension was recorded with a muscle strip myograph data acquisition system (DMT, Ann Arbor, MI). Basal tension (2 g) was applied to the tissue strips, and strips were equilibrated for 1 hr until spontaneous myometrial contractility appeared. When four stable regular contractile waveforms were observed, Krebs solution was changed to modified Krebs solution containing (in mM): 33.25 NaCl, 99.75 CholineCl, 4.7 KCl, 1.2 MgSO4, 1.2 KH2PO4, 10 TES, 1.2 CaCl2, and 11.1 glucose, pH 7.4. Tension was recorded for 30 min. Traces obtainedin the last 10 minutes before and after adding modified Krebs solution were compared by using LabChart 8 (ADInstruments, Colorado Springs, CO).Basal tension and area under the curve (AUC) of phasic contractions of the myometrial strips were calculated in both solutions.

In situ proximity ligation assay

The hTERT-HM cells were cultured in 8-well chambered slides (LabTek/Sigma, St. Louis, MO), serum-deprived in 0.5% FBS for 24 h, washed in ice-cold 1X PBS, and then fixed in 4% (wt/vol) paraformaldehyde (PFA) in PBS for 20 min at room temperature with gentle rocking. After 4 x 5-min washes in 1X PBS, cells were permeabilized with 0.1% NP-40 for 5 min at room temperature, washed twice with PBS, and washed once in 100 mM Glycine in PBS to quench remaining PFA. The slides were rinsed in milliQ water to remove residual salts. Duolink in situ proximity ligation assay (Sigma, St. Louis, MO) labeling was performed with the following antibodies: NALCN (mouse monoclonal, 1:100, StressMarq), SLO2.1 (rabbit polyclonal, 1:200, Alomone), and SLO1α (BD Biosceiences 611249). The manufacturer’s protocol was followed completely except that cells were stained with NucBlue Fixed Cell Stain Ready Probes (Invitrogen, Carlsbad, CA) for 5 min at room temperature before the final wash in wash buffer B.The slides were dried at room temperature in the dark, mounted in Vectashield (Vector Laboratories, Burlingame, CA), and stored in the dark at -20°C until analysis. Images were collected with a fluorescent Leica AF 6000LX system (Buffalo Grove, IL, USA) with a Leica DMi8000 inverted microscope and an Andor-Zyla-VCS04494 camera with excitation wavelengths of 488 nm for PLA signals and 340 nm for NucBlue. A63X objective (HC PL FluoTar L 63X/0.70 Dry) was used to obtain the images. Leica LasX software was used to control the system and collect data. Acquisition parameters were: 2 and 1.5 seconds of exposure time for 488 and 340 nm, respectively, no binning, 2048 x 2048 pixels resolution, and a voxel size of 0.103 μm. Whole images were collected every 10 seconds. LAS X, ImageJ software(National Institutes of Health, Bethesda, Maryland, USA), and SigmaPlot 12 (Systat Software Inc., Chicago, IL, USA) were used to analyze images. Data are presented as number of punctae (counted after background subtraction) per cell. All imaging experiments were done at room temperature.

Quantification and statistical analysis

Sigmaplot, version 12.0 (Systat Software Inc.) was used for all statistical analyses. Unpaired Student’s t-tests were used to compare independent samples, and paired t-tests to compare data in case-control studies performed in the same individuals. Data are expressed as the mean ± SD. P-value < 0.05 was considered statistically significant. The particular test used in each experiment is described in each figure legend. Number of cells/individuals, center and dispersion measures values can be found in figure legends and/or results section.

Acknowledgments

We thank Dr. Deborah Frank for critical review of the manuscript and Anthony Bartley and Chrystie Tyler for designing figures and providing graphical assistance. We also thank the clinical research nurses in the Department of Obstetrics and Gynecology at Barnes-Jewish Hospital for obtaining patients' consent and acquiring human myometrial biopsies. We thank the Washington University Flow Cytometry & Fluorescence-Activated Cell Sorting Cores for use of their FACS Canto II TM cytometer and guidance. This work was supported by NIH grant 1F30HD095591 (to C.A.), an American Physiological Society William Town send Porter Pre-doctoral Fellowship Award (to C.A.), March of Dimes grant #6-FY18-664 (to S.K.E.), National Institutes of Health grant R01HD088097 (to C.M.S. and S.K.E.), and the Department of Obstetrics and Gynecology at Washington University in St. Louis.

Author contributions

J.J.F. and C.A. designed, performed, and analyzed the experiments. L.C.P.M. assisted with the flow cytometry experiments. X.M. performed experiments. J.J.F., C.A., S.K.E., and C.M.S. analyzed data and interpreted the results. J.J.F. and C.A. prepared figures. J.J.F., C.A., S.K.E., and C.M.S. drafted the manuscript. J.J.F., C.A., L.C.P.M., X.M., S.K.E., and C.M.S. edited, revised, and approved the final version of the manuscript.

Declaration of interests

The authors declare no competing interests.

Published: November 19, 2021

Footnotes

Supplemental information can be found online at https://doi.org/10.1016/j.isci.2021.103210.

Contributor Information

Sarah K. England, Email: englands@wustl.edu.

Celia M. Santi, Email: santic@wustl.edu.

Supplemental information

Document S1. Figures S1–S6
mmc1.pdf (714.3KB, pdf)

Data and code availability

This paper does not report original code. Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Document S1. Figures S1–S6
mmc1.pdf (714.3KB, pdf)

Data Availability Statement

This paper does not report original code. Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.


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