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The Nanostructure of Myoendothelial Junctions Contributes to Signal Rectification between Endothelial and Vascular Smooth Muscle Cells

The Nanostructure of Myoendothelial Junctions Contributes to Signal Rectification between Endothelial and Vascular Smooth Muscle Cells

  • Jens Christian Brasen, 
  • Jens Christian Brings Jacobsen, 
  • Niels-Henrik Holstein-Rathlou


Micro-anatomical structures in tissues have potential physiological effects. In arteries and arterioles smooth muscle cells and endothelial cells are separated by the internal elastic lamina, but the two cell layers often make contact through micro protrusions called myoendothelial junctions. Cross talk between the two cell layers is important in regulating blood pressure and flow. We have used a spatiotemporal mathematical model to investigate how the myoendothelial junctions affect the information flow between the two cell layers. The geometry of the model mimics the structure of the two cell types and the myoendothelial junction. The model is implemented as a 2D axi-symmetrical model and solved using the finite element method. We have simulated diffusion of Ca2+ and IP3 between the two cell types and we show that the micro-anatomical structure of the myoendothelial junction in itself may rectify a signal between the two cell layers. The rectification is caused by the asymmetrical structure of the myoendothelial junction. Because the head of the myoendothelial junction is separated from the cell it is attached to by a narrow neck region, a signal generated in the neighboring cell can easily drive a concentration change in the head of the myoendothelial protrusion. Subsequently the signal can be amplified in the head, and activate the entire cell. In contrast, a signal in the cell from which the myoendothelial junction originates will be attenuated and delayed in the neck region as it travels into the head of the myoendothelial junction and the neighboring cell.


Information processing in tissues often relies on unidirectional flow of information. Such unidirectional flow is found in e.g. synapses of the nervous system [1]. Similar specialized anatomical structures that potentially enable signal rectification are also found in arteries and arterioles. Such vessels consist of a single layer of endothelial cells (ECs, see Table 1 for a full list of abbreviations), which lines the lumen, surrounded by one or more layers of smooth muscle cells (SMCs). The two cell types are separated by the internal elastic lamina [2], [3]. However, ECs and SMCs make occasional contacts through myoendothelial (i.e. muscle-endothelial) junctions (MEJs), which are mushroom shaped protrusions that project from one cell layer and traverse the internal elastic lamina to make contact with the other layer [2][5]. The MEJ can extend from either cell layer depending on the tissue and organism [2][4]. Gap junctions in the MEJ connect the cytoplasm of the two cells and are important in myoendothelial signal transduction [6], [7]. The gap junction itself is permeable to ions and small molecules (<1 kDa) including Ca2+ and IP3 [8][11].

The functional properties of the MEJ have been studied in mouse and rat mesenteric arteries where they extend from the EC layer to contact the SMC layer [6], [7]. A Ca2+ signal initiated in the SMC layer (e.g. by stimulation with phenylephrine) is apparently transmitted to the ECs by diffusion of IP3, whereas propagation of the signal in the opposite direction does not take place [12], . The directionality has been proposed to be due to rectification in heterodimeric gap junctions or to differences in distribution of IP3-receptor channels and other proteins [14]. However, the micro-anatomical structure of the MEJ has never been considered in this regard, and here we show that the structure of the MEJ alone can rectify a signal, which is mediated by a diffusible molecule between the two cell layers. The model shows that in an arteriole, the structure of the MEJ enables a diffusible molecule to propagate from the SMC into the MEJ from where it can spread into the body of the EC. In contrast, signaling in the opposite direction is less likely to happen due to the structure of the MEJ.

Materials and Methods

Description of the Models

To address the apparent asymmetry in myoendothelial signaling we constructed a spatiotemporal model of the EC-SMC contact (Fig. 1A–B). The structure is based on electron microscopic images of small rat and mouse mesenteric arteries [5], [15]. We assumed radial symmetry around the long axis of the MEJ (Fig. 1A) which enabled us to implement the model as a 2D axi-symmetrical model (Fig. 1B–C).

Figure 1. Description of the models.

A, B) Model of the interaction between a smooth muscle cell (SMC) and an endothelial cell (EC) through the myoendothelial junction (MEJ). The SMC is shown in yellow, the EC in green and the MEJ in red. The SMC and MEJ are coupled in the area highlighted with the black circle at the blue edge. B,C) The endothelial cell (EC) has a radius of 10 µm and is 1 µm thick. The smooth muscle cell (SMC) has a radius of 5 µm and is 4 µm thick. The head of the MEJ is spherical with a radius of 0.5 µm that is located on top of a neck that is 1.525 µm long. Stimulation was modeled by increasing the concentration at the green boundaries in the respective cell. Scale bars indicate the respective dimensions. D,E) The model was extended to include endoplasmic reticulum (ER) in the EC. The ER had a radius of 6 µm, 0.5 µm thick and located 0.1 µm from the plasma membrane. The SMC is shown in yellow, the EC in green, the MEJ in red and the ER in orange.

The model consisted of three main regions, the SMC, the EC and the MEJ that protrudes from the EC in the present model. The protrusion is in continuity with the EC and the SMC is connected with the MEJ through gap junctions, which in the model initially were assumed to have a lumped pore radius of 100 nm (Fig. 1B, marked with blue). Chemical species can diffuse between the cells through the gap junctions. In the model the head of the MEJ is spherical with a radius of 0.5 µm and located on top of a neck which is 1.525 µm long and has a radius of 0.125 µm. As shown in Fig. 1 the EC and SMC have different morphology. The EC has a radius of 10 µm and is 1 µm high whereas the SMC has a radius of 5 µm and is 4 µm high. Hence, we have for simplicity assumed that EC and SMC volumes are equal as also suggested in previous work on myoendothelial signaling [16].

Diffusion and chemical reactions were modeled using a diffusion-reaction equation,(1)

where c is the concentration of the diffusible species, Dc is a diagonal matrix where the elements in the diagonal are the diffusion coefficients for c in the x and z directions, and R expresses chemical reactions and transport e.g. buffer reactions.

The model was solved numerically using the finite element method. The model was implemented in Comsol Multiphysics 4.1 (Comsol AB) [17] and was meshed with triangles using the built-in mesh function. Maximum element size was 5×10−8 m, minimum element size 1×10−9 m, maximum element growth rate 1.1 and resolution of curvatures 0.2. All the boundaries in the protrusion including the gap junction area had resolution maximum of 5×10−9 m, minimum 5×10−10 m and a maximum growth rate of 1.2. When the radius of the gap junction in Model 2 was reduced the maximum element size was 1×10−9 m around the boundary defined by the gap junction. The maximum growth rate defines how much the element size can grow from a region with smaller elements to a region with larger elements. A maximum growth rate of 1.2 means that the element size can increase by 20% from one element to the next.

Model 1

In Model 1 we simulated diffusion of Ca2+ ions in a non-buffered cytosol in order to quantify the basic properties of the structure. Initially the concentration of Ca2+ was 0.1 µM in all compartments. We simulated an increase in bulk cytoplasmic Ca2+ concentration in either the EC or SMC by increasing the boundary concentrations (Fig. 1C, green lines) by 0.5 µM to a final concentration of 0.6 µM. Unless explicitly stated the diffusion of Ca2+ was assumed to be isotropic with a diffusion coefficient of 233 µm2/s [18].

All parameters are listed in Table 2 and initial conditions in Table 3.

Model 2

The model was extended to include the effect of Ca2+-induced Ca2+-release (CICR) from endoplasmic reticulum (ER) in the EC and MEJ. This model contains the following diffusible species: Ca2+ in the cytosol and in ER, Ca2+ buffers in the cytosol and ER and IP3 in the cytosol (see Table 2 for diffusion coefficients). We assumed that all pumps and channels were distributed uniformly in the membranes of the ER and hence any effects from point sources were neglected. The structure of the ER inside the MEJ was based on electron microscopic images [7]. The ER in the EC had a radius of 6 µm and was 0.5 µm thick and 0.1 µm from the upper part of the EC membrane. In the inclined part of the MEJ neck the latter distance was 60 nm and in the vertical part it was 75 nm. In the head of the MEJ the ER had a radius of 0.25 µm (Fig. 1D–E).

We also included the reversible binding of Ca2+ to Ca2+ buffers in the cytosol of the EC, MEJ and SMC,(2)with the two rate constants kon and koff (see Table 2). The reaction was modeled using first and second order kinetics.

(3)The ratio between koff and kon gives the dissociation constant Kd (Kd = koff/kon), which corresponds numerically to the Ca2+ concentration at which the buffer is 50% saturated. In the cytosol of the SMC, EC and MEJ the Kd was 0.5 µM [19], [20]. The total buffer concentration was 0.1 mM. Ca2+ buffer binding was also modeled in ER:(4)which was modeled as in the cytosol, see Eq.(5)where the total Ca2+ buffer capacity was 72 mM, with a Kd value of 2 mM [21]. We modeled CICR using the model by De Young and Keizer [22] which we adapted to the present model. The flux of Ca2+ through the IP3 receptor channel (IP3R) was dependent on the permeability of the channel (PIP3R), the fraction of channels being in an open state and the Ca2+ gradient across the ER membrane. The flux across the ER membrane was then:

(6)The IP3 receptor is activated by IP3 and by low concentrations of Ca2+, whereas Ca2+ at higher concentrations inhibits the channel. Using a rapid equilibrium approximation De Young and Keizer [22] presented a set of equations to describe the different states of the receptor. Each position in the subscript (xijk) describes if a ligand is bound (1) or not bound (0) to the three independent binding sites. The first place (i) refers to binding of IP3, the second (j) refers to binding of Ca2+ to the activating site and the third (k) to binding of Ca2+ to the inhibitory site.

In the model it is assumed that the active channel is composed of three subunits and because it is assumed that all three have to be in the state x110 for the channel to be open, the fraction of open channels is given by The dynamical change between the forms without IP3 is described with the following equations [22];.(7)(8)(9)(10)where (11)(12)(13)(14)and the IP3 bound forms are found as:(15)(16)(17)(18)where ax and dx are constants (Table 2).

Re-uptake of Ca2+ into the ER by the SERCA pump (a Ca2+ pump) was modeled using [21].(19)where the f and r indicates the forward and reverse modes. All constants are given in Table 2 and initial conditions in Table 3.

The IP3 concentration was 0.1 µM prior to stimulation and the maximum Ca2+ permeability through the IP3R channel (PIP3R) was fitted to counterbalance the activity of the SERCA pump [21]. To simulate an increase in IP3 in the EC or the SMC we increased the concentration of IP3 to 0.4 µM around all external boundaries in either the EC or the SMC (Fig. 1C). Note that the diffusion coefficient of IP3 is higher than that of Ca2+ (Table 2).


To elucidate the effect of the MEJ on diffusion between the two cell types, we considered a simple system of Ca2+ diffusion in an unbuffered system and we evaluated two scenarios where either the EC or the SMC was stimulated by increasing the bulk cytosolic Ca2+ concentration (Model 1). An increase in bulk Ca2+ concentration was simulated by raising the concentration of cytosolic Ca2+ ([Ca2+]cyt) by 0.5 µM above the resting level at all boundaries in either of the cells, except for the boundaries of the MEJ (see Fig. 1 for details), and we assumed initially that the cytosol was unbuffered. Following perturbation of the Ca2+ concentration, the bulk cytosolic concentration increased to almost 0.6 µM within 10 ms in the EC and within 30 ms in the SMC (Fig. 2A and B). The slower increase in the SMC is due to the lower surface to volume ratio. The fast increase in concentration shows that raising the concentration at the boundaries was a good approximation of simulating a global perturbation in the cell.

Figure 2. Model 1, diffusion through the MEJ.

The effect of the MEJ on diffusion between the SMC and EC was tested by increasing the Ca2+ concentration in A): EC from 0.1 µM to 0.6 µM and B): in the SMC from 0.1 µM to 0.6 µM at time 2 s. The average concentration in the EC, the SMC, the MEJ and only in the head of the MEJ is shown in both cases. C) Average Ca2+ concentrations in the MEJ as a function of gap junction pore size. From below pore size was: 10, 20, 30, 50, 100, 150 and 200 nm. D) The diffusion coefficient was changed within a chemical/biological realistic regime and the average Ca2+ concentration in the MEJ was found for each value. From below 10, 20, 50, 100, 200, 500 and 1000 µm2/s.

While the Ca2+ response in the stimulated cell was very fast, the bulk cytosolic Ca2+ concentration in the other cell responded very slowly with only small changes in bulk cytosolic Ca2+ levels even after several seconds (Fig. 2A and B). Whereas the responses in the bulk cytosolic Ca2+ concentrations were quite similar in the two cases, the changes in the Ca2+ concentration in the microdomain formed by the MEJ and the head of the MEJ differed substantially. It is noteworthy that whereas the Ca2+ signal that originated from the EC only had a modest effect on the head and the neck of the MEJ (Fig. 2A), the Ca2+ signal from the SMC increased the Ca2+ level in the head of MEJ, which is a part of the EC, to >0.5 µM within 40 ms (Fig. 2B). This shows that a signal from the cell that makes contact with the MEJ, here the SMC, can be transmitted very rapidly to the other cell, but less easily in the opposite direction. The rectification was caused by the direct coupling of the MEJ head to the SMC. Because of the geometry Ca2+ diffuses easily from the SMC to the MEJ head. Since the bulk of the EC is separated from the MEJ by a narrow neck the efflux from the MEJ head into the bulk of the EC is delayed. The SMC can therefore easily drive an increase in MEJ Ca2+ concentration. In contrast, a concentration increase in the bulk cytoplasm of the EC will only lead to a slow increase in the concentration in the head of the MEJ. In addition compounds that diffuse from the EC into the MEJ head will easily diffuse into the SMC, and the effect on the concentration in the head will be minimized.

The permeability of the gap junction and the diffusion coefficient could be central features of the model. We therefore tested how the increase in MEJ Ca2+ concentration in response to an increase in the SMC Ca2+ concentration, varied with changes in gap junction size (i.e. the degree of coupling) (Fig. 2C) and diffusion coefficient (Fig. 2D). We found that the steady-state concentration in the MEJ decreased when the gap junction size was lowered, whereas the rise time was almost unaffected. In contrast, a general decrease in the diffusion coefficient prolonged the rise time for the increase in MEJ concentration, but the steady state concentration was unaffected (Fig. 2D).

We next considered the presence of an amplifier in the MEJ by including a model of the endoplasmic reticulum (ER) (Model 2). ER is present in the MEJ and it may extend into the cytosol of the EC [6], [7]. Although it is unknown how often this is the case, we assumed in the model that the ER in the MEJ couples to the ER in the cytosol (Fig. 1D and E). The ER surface, including that inside the MEJ, contains IP3 receptor channels (IP3R) [6], [7] enabling Ca2+ induced Ca2+ release (CICR) [23]. When IP3 was increased in the SMC there was a pronounced Ca2+ release in the MEJ after less than 100 ms due to Ca2+ release from the ER (Fig. 3). MEJ Ca2+ concentration increased rapidly (<50 ms) after SMC IP3 was an increased (Fig. 3A) and the average Ca2+ concentration in the MEJ remained high for more than 1 s (Fig. 3B). When an IP3 increase was generated in the SMC, Ca2+ from the ER in the EC will elevate the EC [Ca2+]cyt, (Fig. 4A), but the reverse flux of Ca2+ from the EC to the SMC will only have a marginal effect on SMC [Ca2+]cyt (Fig. 4A).

Figure 3. Model 2, the MEJ is a sensor of the adjacent cell.

A) The changes in Ca2+ concentration in the protrusions following an increase in the boundary level of IP3 in the SMC from 0.1 to 0.4 µM. The local Ca2+ cloud in the SMC is due to diffusion of Ca2+ from the EC/MEJ through the gap junction. The concentration of Ca2+ in the protrusion is shown at the indicated time points. Below the bar with the time points are the peak concentrations of Ca2+. The IP3 level was increased at time 2 s in the SMC. B) Average Ca2+ concentration in the MEJ following an IP3 increase in the SMC. When IP3 was increased from 0.1 to 0.4 µM in the SMC the Ca2+ microdomain in the MEJ was on average of 4 µM at time 2.1 s and 12 µM at time 2.14 s.

Figure 4. The MEJ amplifies signals from the SMC to the EC.

Following an increase in SMC IP3 concentration from 0.1 to 0.4 µM, Ca2+ increased in the MEJ. A) When IP3 was increased to 0.4 µM in the SMC the global bulk EC [Ca2+]cyt increased to >0.3 µM within 5–10 s in the EC, but the [Ca2+]cyt in the SMC remained unaffected. B) The radius of the pore was set to the following values (curves from the right): 10, 30, 50 and 100 nm, and average MEJ concentration was calculated following an increase in IP3 in the SMC.

The permeability of the gap junctions in the MEJ is to the best of our knowledge not known, and to address the impact of that we tested the model for various sizes of the gap junction pore (Fig. 2C and Fig. 4B). We found that over a range of gap junction sizes from 10–200 nm an increase in IP3 in the SMC was able to generate a substantial Ca2+ signal in the MEJ as seen by the increase in MEJ Ca2+ concentration (Fig. 4B). The simulation when the pore was 200 nm was similar to the simulation where the pore was 100 nm (not shown).

We addressed the possibility of variation in the length of the MEJ by modeling changes in the length of the longitudinal part of the neck that connects the head with the EC body. For this purpose we used Model 1 that only includes one compound (Ca2+). To model variations in the length of the neck the diffusion coefficient was re-scaled in the direction of the z-axis in the narrow part of the neck (Fig. 5). Changes in length will scale with the diffusion coefficient multiplied by the inverse of the scaling factor raised to the power of two, i.e. quadrupling the diffusion coefficient corresponds to halving the length. To quantify the effect of changing the length of the neck we simulated the average Ca2+ concentration in the head of the MEJ 0.1 s after stimulation of one of the cell types. When the EC was stimulated a decreased length of the neck increased the Ca2+ concentration in the head of the MEJ after stimulation whereas a longer neck decreased the concentration (Fig. 5A). When the SMC was stimulated a longer neck increased the Ca2+ concentration in the head of the MEJ (Fig. 5B). Hence, a longer neck will increase the polarization effect. If the MEJ was removed from the model and the EC coupled directly to the SMC, we only observed a minor change of 0.018 µM after 0.1 s in the cell opposite of the one that was activated (not shown). Hence, without the local environment provided by the MEJ a signal from the SMC is diluted in the EC. We have also tested the effect of re-scaling the neck in the model including CICR (Model 2, not shown) and we found that increasing the length of the neck with a factor of 2–3 still allowed an IP3 signal from the SMC to initiate a global Ca2+ signal in the EC within a few seconds. The models predict that for different lengths of the neck the structure can rectify a signal between the two cells and increasing the length of the neck will increase that effect.


ECs and SMCs are often connected by gap junctions that are located on MEJs. The distribution of ion channels near the MEJ appears to be tightly regulated and there is evidence that the local environment i.e. ion channel localization is highly controlled [24]. We have investigated the impact of the structure of the MEJ using a 2D axi-symmetric mathematical model and we found that the structure of the MEJ itself can influence the signaling between the two cell types by rectifying information flow.

We perturbed the model by simulating an increase in the bulk cytosolic concentration of a diffusible species in either the EC or the SMC. The increase in concentration was implemented as a concentration increase at the boundaries in the respective cells (Fig. 1C). The lag time between bulk cytosolic concentration had reached the level at the boundary from the time it was changed was only 10–30 ms. Since we expect signals originating from the lumen of the vessel to primarily act on the part of the EC membrane facing the lumen, and to a much lesser extent affect the cell membrane in the sequestered region of the MEJ, we deliberately excluded the MEJ from the rise in the cytosolic Ca2+ concentration. The main conclusion from the results shown in Figure 2 is that for a small diffusible species (in this case Ca2+) that can pass through gap junctions, the structure of the MEJ leads to significant signaling rectification in the sense that the concentration of the diffusible species in the head responds more rapidly to changes in the SMC than it does to changes in the EC from which it originates.

The degree of asymmetry depends on two factors, the degree of gap junctional coupling between the head and the SMC and the length of the neck region that connects the head to the bulk of the EC. As can be seen in Figure 2C, increasing the degree of coupling increases the steady state concentration achieved in the head, but only has a minor effect on the time it takes to reach this level. This is to be expected, since in the model, the steady state concentration will be determined by a balance between the influx from the SMC and the loss of through the neck region. The importance of the length of the neck region is illustrated in Figures 5A and B where we simulated various lengths of the neck region by varying the magnitude of the diffusion coefficient in the direction of the long axis of the neck region. Imposing anisotropic diffusion conditions is equivalent to changing the length of the neck region. A longer neck region will impede the diffusion of solutes from the bulk cytosol of the EC into the head of the MEJ. This effect can be seen in Figure 5A which shows the Ca2+ concentration in the head 0.1 s after stimulation of the EC. It is clear that the longer the neck, the smaller the concentration obtained. The reverse was true for the response of the head to an increase in SMC Ca2+ concentration, where a longer neck hindered the loss of Ca2+ from the head, and therefore led to a higher concentration following the stimulation (Fig. 5B). The results clearly indicate that the micro-anatomy of biological systems may have an important role in signal transduction and modulation.

Figure 5. The length of the MEJ.

The effect of changing the length of the narrow/vertical part of the neck of the myoendothelial junction was tested on the model only including Ca2+ (Model 1). Re-scaling the length of the neck was implemented by re-scaling the diffusion coefficient in the z-axis in the neck. The value used in Fig. 1, 2, 3, and 4 was 1.26 µm. To quantify the effect of neck re-scaling, the average bulk Ca2+ concentration in the head of the myoendothelial junction was measured 0.1 s after stimulation when A): the EC was stimulated and B): when the SMC was stimulated.

We next addressed the question of how a change in head concentration of a given substance may affect the EC. One possibility could be the presence of an amplification mechanism within the head region. It is well known that the ER may extend into the MEJ, and we therefore considered the possible role of the ER in signal amplification. In this scenario we modeled the diffusion of IP3, and as in the former case, the head region quickly equilibrated with respect to changes in IP3 levels in the SMC. Because of the presence of the ER, the rise in the IP3 level in the head will lead to Ca2+ release from the ER through the IP3 receptors. Such a localized Ca2+ release may then spread into the EC as a Ca2+ wave mediated by Ca2+ induced Ca2+ release (Fig. 3). We hypothesize that such an amplification mechanism may effectively propagate signals from the SMC into the EC. Indeed, recent experiments have suggested that IP3 from the SMC can diffuse through the gap junctions in the MEJs and induce a local Ca2+ increase in the EC [25], [26].

The restricted space in the MEJ is an example of a local Ca2+ microdomain, i.e. a restricted volume of the cytoplasm where the local Ca2+ concentration may reach high levels (Fig. 2 and 3). Another example of a Ca2+ microdomain is the restricted space between endoplasmic/sarcoplasmic reticulum and the plasma membrane [27][29], close to ion channels [30], [31]. The wrinkled structures of the plasma membrane in neutrophil granulocytes have also been suggested to give rise to Ca2+ microdomains where the local concentration of Ca2+ can reach values of more than 10 µM [32], [33].

Ca2+ microdomains have important roles in regulation of processes near membranes including regulation of ion channels [27][31]. In small arteries Ca2+ microdomains in the SMCs regulate the activity of BK channels and thereby play a central role in regulation of the tone [29], [34]. In the ECs from small arteries the spatial distribution of K+ channels is tightly regulated [24]. The K+ channel type KCa3.1 is highly expressed in the MEJ [8], [24], [35] and KCa2.3 is present in the MEJ and at the cell border [24]. KCa3.1 and KCa2.3 are both activated by Ca2+ in the range 50–900 nM [36], and hence an increase in MEJ Ca2+ concentration could activate K+ currents in the MEJ, which in turn would hyperpolarize the entire cell. Activation of the channel would in addition lead to an increase in the K+ concentration in the internal elastic lamina, which could, in principle, activate Kir channels in both EC and SMCs. It is known that an increase in interstitial K+ concentration dilates vessels in part due to Kir activation [37][40]. It is therefore plausible that activation of K+ channels in the MEJ could lead to a hyperpolarization of the SMC, in turn inhibiting voltage sensitive Ca2+ channels leading to vasodilation.

It has previously been suggested that asymmetrical distribution of IP3Rs and IP3 phosphatases also can give rise to an asymmetrical IP3/Ca2+ signaling between ECs and SMCs [14], [41], and we speculate that these effects could act together with the structural effects presented here. Knowledge of the distribution of IP3Rs in and near MEJ in arterioles from various tissues is limited. However, our conclusions are not dependent on any functional polarization, but only depend on the actual structure of the MEJ. If degradation of IP3 by phosphatases is taken into account it will enhance the reported effect of a unidirectional flow from the SMC to the EC, because IP3 that enters the MEJ from the SMC has a relative short distance to travel before it encounters the ER in the MEJ. IP3 produced in the EC will on the other hand have to travel through the entire MEJ before entering the SMC and this would decrease the amount of IP3 entering the SMC. In the SMC IP3 could activate opening of IP3Rs in the sarcoplasmic reticulum, but as we have shown in Figures 2 and 3 the flow of molecules from the EC to the SMC is operating on a time scale that is substantially slower than the flow from the SMC to the EC. Hence, under normal conditions it would be unlikely that IP3 produced in the EC could activate IP3R channels in the SMC. If phosphatases in both ECs and SMCs were inhibited and the EC was stimulated for a prolonged period it could be speculated that IP3 from the EC could stimulate a Ca2+ release in the SMC.

In conclusion, the micro-anatomical structure of the MEJ, with a long neck region restricting diffusion between the head and the bulk of the cytosol, by itself leads to a rectification of information flow between the SMC and the EC. Changes in IP3 and Ca2+ in the SMC are rapidly and efficiently transmitted to the EC, whereas the reverse is not the case.

Author Contributions

Conceived and designed the experiments: JCB. Performed the experiments: JCB. Analyzed the data: JCB JCBJ NHHR. Contributed reagents/materials/analysis tools: JCB. Wrote the paper: JCB JCBJ NHHR.


  1. 1. Kotaleski JH, Blackwell KT (2010) Modelling the molecular mechanisms of synaptic plasticity using systems biology approaches. Nat Rev Neurosci 11: 239–251.
  2. 2. Smith PD, Brett SE, Luykenaar KD, Sandow SL, Marrelli SP, et al. (2008) KIR channels function as electrical amplifiers in rat vascular smooth muscle. J Physiol 586: 1147–1160.
  3. 3. Chadha PS, Liu L, Rikard-Bell M, Senadheera S, Howitt L, et al. (2011) Endothelium-dependent vasodilation in human mesenteric artery is primarily mediated by myoendothelial gap junctions intermediate conductance calcium-activated K+ channel and nitric oxide. J Pharmacol Exp Ther 336: 701–708.
  4. 4. Sandow SL, Senadheera S, Bertrand PP, Murphy TV, Tare M (2011) Myoendothelial contacts, gap junctions and microdomains: anatomical links to function? Microcirculation In press.
  5. 5. Sandow SL, Hill CE (2000) Incidence of myoendothelial gap junctions in the proximal and distal mesenteric arteries of the rat is suggestive of a role in endothelium-derived hyperpolarizing factor-mediated responses. Circ Res 86: 341–346.
  6. 6. Ledoux J, Taylor MS, Bonev AD, Hannah RM, Solodushko V, et al. (2008) Functional architecture of inositol 1,4,5-trisphosphate signaling in restricted spaces of myoendothelial projections. Proc Natl Acad Sci U S A 105: 9627–9632.
  7. 7. Sandow SL, Haddock RE, Hill CE, Chadha PS, Kerr PM, et al. (2009) What’s where and why at a vascular myoendothelial microdomain signalling complex. Clin Exp Pharmacol Physiol 36: 67–76.
  8. 8. Mather S, Dora KA, Sandow SL, Winter P, Garland CJ (2005) Rapid endothelial cell-selective loading of connexin 40 antibody blocks endothelium-derived hyperpolarizing factor dilation in rat small mesenteric arteries. Circ Res 97: 399–407.
  9. 9. Unger VM, Kumar NM, Gilula NB, Yeager M (1999) Three-dimensional structure of a recombinant gap junction membrane channel. Science 283: 1176–1180.
  10. 10. Evans WH, Martin PE (2002) Gap junctions: structure and function (Review). Mol Membr Biol 19: 121–136.
  11. 11. Isakson BE, Ramos SI, Duling BR (2007) Ca2+ and inositol 1,4,5-trisphosphate-mediated signaling across the myoendothelial junction. Circ Res 100: 246–254.
  12. 12. Dora KA, Doyle MP, Duling BR (1997) Elevation of intracellular calcium in smooth muscle causes endothelial cell generation of NO in arterioles. Proc Natl Acad Sci U S A 94: 6529–6534.
  13. 13. de Wit C, Hoepfl B, Wolfle SE (2006) Endothelial mediators and communication through vascular gap junctions. Biol Chem 387: 3–9.
  14. 14. Isakson BE (2008) Localized expression of an Ins(1,4,5)P-3 receptor at the myoendothelial junction selectively regulates heterocellular Ca2+ communication. Journal of Cell Science 121: 3664–3673.
  15. 15. Dora KA, Sandow SL, Gallagher NT, Takano H, Rummery NM, et al. (2003) Myoendothelial gap junctions may provide the pathway for EDHF in mouse mesenteric artery. J Vasc Res 40: 480–490.
  16. 16. Beny JL (1999) Information Networks in the Arterial Wall. News Physiol Sci 14: 68–73.
  17. 17. 21–2–2012: Comsol Multiphysics 4.1 (Comsol AB) Available:
  18. 18. Allbritton NL, Meyer T, Stryer L (1992) Range of messenger action of calcium ion and inositol 1,4,5-trisphosphate. Science 258: 1812–1815.
  19. 19. Kapela A, Bezerianos A, Tsoukias NM (2008) A mathematical model of Ca2+ dynamics in rat mesenteric smooth muscle cell: agonist and NO stimulation. J Theor Biol 253: 238–260.
  20. 20. Silva HS, Kapela A, Tsoukias NM (2007) A mathematical model of plasma membrane electrophysiology and calcium dynamics in vascular endothelial cells. Am J Physiol Cell Physiol 293: C277–C293.
  21. 21. Means S, Smith AJ, Shepherd J, Shadid J, Fowler J, et al. (2006) Reaction diffusion modeling of calcium dynamics with realistic ER geometry. Biophys J 91: 537–557.
  22. 22. De Young GW, Keizer J (1992) A single-pool inositol 1,4,5-trisphosphate-receptor-based model for agonist-stimulated oscillations in Ca2+ concentration. Proc Natl Acad Sci U S A 89: 9895–9899.
  23. 23. Berridge MJ (1993) Inositol Trisphosphate and Calcium Signaling. Nature 361: 315–325.
  24. 24. Dora KA, Gallagher NT, McNeish A, Garland CJ (2008) Modulation of endothelial cell KCa3.1 channels during endothelium-derived hyperpolarizing factor signaling in mesenteric resistance arteries. Circ Res 102: 1247–1255.
  25. 25. Nausch LW, Bonev AD, Heppner TJ, Tallini Y, Kotlikoff MI, et al. (2012) Sympathetic nerve stimulation induces local endothelial Ca2+ signals to oppose vasoconstriction of mouse mesenteric arteries. Am J Physiol Heart Circ Physiol 302: H594–H602.
  26. 26. Tran CH, Taylor MS, Plane F, Nagaraja S, Tsoukias NM, et al. (2012) ENDOTHELIAL Ca2+ WAVELETS AND THE INDUCTION OF MYOENDOTHELIAL FEEDBACK. Am J Physiol Cell Physiol In press.
  27. 27. Lederer WJ, Niggli E, Hadley RW (1990) Sodium-calcium exchange in excitable cells: fuzzy space. Science 248: 283.
  28. 28. Berridge MJ (2006) Calcium microdomains: organization and function. Cell Calcium 40: 405–412.
  29. 29. Brenner R, Perez GJ, Bonev AD, Eckman DM, Kosek JC, et al. (2000) Vasoregulation by the beta1 subunit of the calcium-activated potassium channel. Nature 407: 870–876.
  30. 30. Naraghi M, Neher E (1997) Linearized buffered Ca2+ diffusion in microdomains and its implications for calculation of [Ca2+] at the mouth of a calcium channel. J Neurosci 17: 6961–6973.
  31. 31. Chad JE, Eckert R (1984) Calcium domains associated with individual channels can account for anomalous voltage relations of CA-dependent responses. Biophys J 45: 993–999.
  32. 32. Brasen JC, Olsen LF, Hallett MB (2010) Cell surface topology creates high Ca2+ signalling microdomains. Cell Calcium 47: 339–349.
  33. 33. Davies EV, Hallett MB (1996) Near membrane Ca2+ changes in neutrophils. Biochem Soc Trans 24: 92S.
  34. 34. Jaggar JH, Porter VA, Lederer WJ, Nelson MT (2000) Calcium sparks in smooth muscle. Am J Physiol Cell Physiol 278: C235–C256.
  35. 35. Sandow SL, Neylon CB, Chen MX, Garland CJ (2006) Spatial separation of endothelial small- and intermediate-conductance calcium-activated potassium channels (K(Ca)) and connexins: possible relationship to vasodilator function? J Anat 209: 689–698.
  36. 36. Hille , Bertil (2001) Ion channels of excitable membranes. Sunderland, Mass: Sinauer.
  37. 37. McCarron JG, Halpern W (1990) Potassium dilates rat cerebral arteries by two independent mechanisms. Am J Physiol 259: H902–H908.
  38. 38. Chilton L, Smirnov SV, Loutzenhiser K, Wang X, Loutzenhiser R (2011) Segment-specific differences in the inward rectifier K+ current along the renal interlobular artery. Cardiovasc Res 92: 169–177.
  39. 39. Burns WR, Cohen KD, Jackson WF (2004) K+-induced dilation of hamster cremasteric arterioles involves both the Na+/K+-ATPase and inward-rectifier K+ channels. Microcirculation 11: 279–293.
  40. 40. Haddy FJ, Vanhoutte PM, Feletou M (2006) Role of potassium in regulating blood flow and blood pressure. Am J Physiol Regul Integr Comp Physiol 290: R546–R552.
  41. 41. Kapela A, Bezerianos A, Tsoukias NM (2009) A mathematical model of vasoreactivity in rat mesenteric arterioles: I. Myoendothelial communication. Microcirculation 16: 694–713.