ChemComm
Communication
Fig. 3 Influence of the initial Ca2+ concentration on Ca2+ diffusion.
(a) The change of diffusion profiles in time for experiments with different
Ca2+ concentrations in the stamp. (b) Calculated [Ca2+] profiles for the
95 second time-point assuming a flat diffusion front. Considering the
sensitivity of our gel, 3 mM Ca2+ was the upper detection limit.
In the first series of experiments, we varied the initial
concentration of free Ca2+ in the stamp. As one should expect, we
observed an increase in the rate of propagation of the diffusion
front with higher initial concentrations of Ca2+ (Fig. 3a). I405/I520
values were converted to a profile of Ca2+ concentrations by using a
calibration curve (Fig. 3b). This transformation is valid if we assume
a flat diffusion front (pseudo-1D diffusion).
Fig. 4 Experimental data and modelling of RD of Ca2+ (25 mM in the
stamp) in the presence of Calbindin D28K (CalB, 30 mM). (a) Time–space
plots of Ca2+ RD with a pillar of the stamp at the center of the image in
(i) the absence and (ii) the presence of CalB. (b) The computer model of the
RD experiment 19 minutes after its start. The concentration of free Ca2+ is
depicted. The solid black border denotes that no flux is possible at those
points, and the gray border denotes that the Ca2+ concentration is
constant. (c) Comparison of Ca2+ diffusion profiles of the RD experiment
(green lines) to the simulations (black lines) at different time points.
Next, we demonstrated the potential of our platform for
in vitro studies on Ca2+-dependent RD processes by carrying out
an experiment involving Calbindin-D28k (CalB). CalB is a protein
abundant in neurons, and is able to bind up to four Ca2+ ions.18
We soaked the PAAmIndoL1 gel in a buffer containing CalB
(30 mM final concentration), and stamped it with an agarose
gel equilibrated in a buffer with 25 mM CaCl2. Time–space
plots allowed visualization of the diffusion process (Fig. 4a).
Compared to analogous experiments in the absence of the
Ca2+-binding protein, we clearly observed slower propagation
of the Ca2+ diffusion front when CalB was present. Because of
the slow diffusion, the front was not flat and a model of 2D
diffusion was required.12,13 The inherent control of the wet
stamping technique allowed us to simulate the RD experiment
using COMSOL (Fig. 4b and ESI†). A symmetry-independent
element of the experimental setup was constructed to model
reaction–diffusion through a half-pillar of the agarose stamp on
top of the PAAmIndoL1 gel (Fig. 4b). As the stamp used in the
RD experiment was much thicker than the pillar and the
PAAmIndoL1 gel, we maintained the Ca2+ concentration at
the top of the stamp at 25 mM (grey line in Fig. 4b) assuming
a continuous source of Ca2+. The reactions included in the
simulation were the four reversible binding events of Ca2+ to
CalB (30 mM) and one for Ca2+ binding to IndoL1. Ca2+, CalB and
the four Ca2+–CalB complexes were the only species allowed to
diffuse. As can be seen in Fig. 4c, there is an excellent fit between
the model and experimental data, especially at the early time
points. In addition to the concentration of free Ca2+ depicted in
Fig. 4b, all other components (Ca2+-bound or -free IndoL1 and
CalB) could be profiled in the model as well (see ESI†).
of the Ca2+-diffusion front in the presence of CalB is an indica-
tion that we can study ultrasensitivity and molecular titration
effects.13 In future experiments, mobile and stationary Ca2+
buffers, the influence of dimensionality, and photo-initiated
release of caged Ca2+ to mimic intracellular Ca2+ signals can
be studied using our platform. Moreover, we can exploit the
reversible binding of Ca2+ to the sensor hydrogel to investigate
the pattern formation in complex Ca2+-dependent RD networks
in order to increase our understanding of RD processes and
cellular complexity.
We thank Dr Wim Scheenen for fruitful discussions. We
acknowledge financial support from the European Research
Council (ERC; Advanced Grant 246812 Intercom), the Netherlands
Organisation for Scientific Research (NWO, VICI Grant 700.10.44
(W.T.S.H.)), the Marie Curie Intra-European Fellowship (Grant
300519 to S.N.S.) and funding from the Ministry of Education,
Culture and Science (Gravity program 024.001.035).
Notes and references
1 M. J. Berridge, M. D. Bootman and H. L. Roderick, Nat. Rev. Mol. Cell
Biol., 2003, 4, 517–529.
2 M. J. Berridge, P. Lipp and M. D. Bootman, Nat. Rev. Mol. Cell Biol.,
2000, 1, 12–21.
3 S. Soh, M. Byrska, K. Kandere-Grzybowska and B. A. Grzybowski,
Angew. Chem., Int. Ed., 2010, 49, 4170–4198.
4 S. Kondo and T. Miura, Science, 2010, 329, 1616–1620.
5 N. L. Allbritton, T. Meyer and L. Stryer, Science, 1992, 258,
1812–1815.
In conclusion, we demonstrated that our PAAmIndoL1
hydrogel can be applied to quantitatively monitor Ca2+ diffusion
in the presence of a Ca2+-binding protein. The wet stamping
method is ideally suited to determine binding constants between
diffusing and immobile species.12 The change in the steepness
6 D. E. Clapham, Cell, 2007, 131, 1047–1058.
7 C. Grienberger and A. Konnerth, Neuron, 2012, 73, 862–885.
8 J. J. Feher, C. S. Fullmer and G. K. Fritzsch, Cell Calcium, 1989, 10,
189–203.
This journal is ©The Royal Society of Chemistry 2014
Chem. Commun., 2014, 50, 3089--3092 | 3091