Conceived and designed the experiments: JR AB AM. Performed the experiments: FWG JR. Analyzed the data: AK FWG JR AB FP CA. Wrote the paper: AK JR AB FP AM PC CA. Conceived and designed the molecular modelling and simulations: FP PC AK CA. Performed the molecular modelling and simulations: FP AK.
Current address: Department of Neuroscience and Brain Technologies, Italian Institute of Technology, Genova, Italy
Current address: Max-Planck-Institut für Biophysik, Frankfurt am Main, Germany
Bestrophins are a recently discovered family of Cl− channels, for which no structural information is available. Some family members are activated by increased intracellular Ca2+ concentration. Bestrophins feature a well conserved Asp-rich tract in their COOH terminus (Asp-rich domain), which is homologous to Ca2+-binding motifs in human thrombospondins and in human big-conductance Ca2+- and voltage-gated K+ channels (BKCa). Consequently, the Asp-rich domain is also a candidate for Ca2+ binding in bestrophins. Based on these considerations, we constructed homology models of human bestrophin-1 (Best1) Asp-rich domain using human thrombospondin-1 X-ray structure as a template. Molecular dynamics simulations were used to identify Asp and Glu residues binding Ca2+ and to predict the effects of their mutations to alanine. We then proceeded to test selected mutations in the Asp-rich domain of the highly homologous mouse bestrophin-2. The mutants expressed in HEK-293 cells were investigated by electrophysiological experiments using the whole-cell voltage-clamp technique. Based on our molecular modeling results, we predicted that Asp-rich domain has two defined binding sites and that D301A and D304A mutations may impact the binding of the metal ions. The experiments confirmed that these mutations do actually affect the function of the protein causing a large decrease in the Ca2+-activated Cl− current, fully consistent with our predictions. In addition, other studied mutations (E306A, D312A) did not decrease Ca2+-activated Cl− current in agreement with modeling results.
In 1998, the gene VMD2, which encodes for the human bestrophin-1 (hBest1) protein, was found to be responsible for the inherited Best vitelliform macular dystrophy. This is an early-onset autosomal dominant maculopathy typically characterized by yellowish lesions in the central area of the retina
All human and mouse members of the bestrophin family have been expressed in heterologous systems
Although the link between the protein and the Best disease has not been clarified yet
Clearly, knowledge of the structural determinants of the protein is crucial to understand its function both in health and in disease conditions. However, no 3-D structural information is available so far. Nevertheless, two topology models have been advanced
In an effort to characterize prominent structural and functional features of bestrophins, we noticed that the Asp-rich domain, which has been indicated as a possible Ca2+ sensor for bestrophins
The second type of Ca2+-binding domains, T3 repeats of thrombospondins, consists in tandems of Asp-rich motifs, which resemble EF hands in the spacing of acidic side chains
Because of the significant sequence similarity between the Asp-rich domain and the aforementioned Ca2+-binding domains, it is plausible to hypothesize that Ca2+ activation of bestrophins could involve, at least in part, Ca2+-binding to the Asp-rich domain. This hypothesis is fully consistent with the experimental evidence from mutations of amino acids constituting putative Ca2+ ligands (E300D, D301E and D312N) in the domain, which affect dramatically the measured current in the HEK-293 cells
A straightforward approach to test if Asp-rich domain is involved in Ca2+ activation of bestrophins would be to mutate randomly its Asp/Glu residues and measure the functional properties of the channel. Here instead we followed a more rational approach, which uses computation to guide the experiments. We first constructed a structural model of hBest1 Asp-rich domain based on the TSP-1 T36 X-ray structure
Our strategy to identify Asp and Glu amino acids important for the function of hBest1 was twofold. First, we attempted to identify residues that may bind the Ca2+ ions in the WT. Next, we predicted the effects of mutations to alanine of these residues on the structure and function of the Asp-rich domain. The effect is non-trivial, because residues, which bind Ca2+ ions in the WT, can be replaced by others when mutated to alanine.
The structural determinants of the Asp-rich domain were modeled by using the X-ray structure of TSP-1 T36 repeat
Alignment between TSP-1 T35–7 repeats
M5 comprises all five Ca2+ ions (shown as spheres). M4 model is the same as M5 but without Ca3 (blue). M3′ is the same as M5, but without Ca3 (blue) and Ca5 (green), while in M3″ Ca3 (blue) and Ca4 (magenta) were excluded. Asp/Glu/Asn and Gln residues coordinating Ca2+ ions are shown. Ca2+ ions are labeled for clarity as Ca1–5 according to their binding positions. The same labels are used throughout the text.
In all molecular dynamics (MD) simulations, two ions (Ca1 and Ca2 in
Ca2+ coordination numbers contributed by protein O-donors (red) and water molecules (blue) plotted as a function of simulation time. Ca2+ ions were defined as stably bound if their coordination number was at least 6 and not more than 2 water molecules contributed to their binding.
MD simulations showed that residues D302, D304, E306, D312 and D323 (
The starting structure for the metadynamics simulation was selected among our energy-minimized models. We chose M3′ model, because it kept the largest number of bound Ca2+ ions (three) during the MD simulations for as long as 25 ns (
Throughout the metadynamics run, Ca1 kept its coordination shell as in the previous MD simulations (
Pictorial representation of the most populated structures with one, two or three coordinated Ca2+ ions. Ca1 binding pocket formed by D302, D304, E306 and D312 is always occupied. In addition, when a second Ca2+ ion is bound, it always occupied Ca2 binding pocket. The third Ca2+ ion never occupied a stable binding pocket, as it is never coordinated by as much as six O-donors.
We attempted to identify mutations that could have an effect on Ca2+ binding. We constructed structural models in which putative key Asp and Glu residues among those identified in the above section were mutated to alanine. These are D301A, D302A, D303A, D304A, E306A, D312A and the double mutant E306A+D323A (see
At the end of MD simulations, D301A bound only one Ca2+ ion (
The Asp-rich domain bearing D304A mutation unfolded, possibly because D304 is the central residue of the domain and therefore responsible for its structural stability; all Ca2+ ions were partially or fully solvated (
Mutants D302A, D303A, E306A, and D312A resembled the WT as they bound at least two Ca2+ ions (
Based on these results we concluded that D301A and D304A mutations have the largest effect on Ca2+ binding, while D302A, D303A, E306A, and D312A affect Ca2+ binding to a lesser extent.
In order to verify this, the experiments of the WT and mutant mBest2 were performed. The putative Ca2+-binding domain of mBest2 has almost the same sequence as that of hBest1 (
The changes of Ca2+ coordination in the aforementioned mutations may affect the amplitude of bestrophin Ca2+-activated Cl− currents, which can be experimentally measured. This was done here for mBest2. WT and mutants currents were compared after their heterologous expression in the HEK-293 cell line (
mBest2 was transfected into HEK-293 cells. 2–4 days after transfection, the cells were fixed, permeabilized and stained with antibody against mBest2, then visualized with Alexa-594-conjugated secondary antibody. Cells were also stained with Alexa-488 conjugated wheat germ agglutinin (WGA). Typical cell transfected with wild type mBest2 is shown in (A). Signal from mBest2 staining (
To determine if mutant proteins are delivered to the plasma membrane as WT, we used immunostaining with antibodies against mBest2
We then measured currents in HEK-293 cells transfected with mBest2 WT or mutants both in nominally 0 free Ca2+ level and in 22 µM free Ca2+ intracellular concentration. Currents were measured in the whole-cell voltage-clamp configuration applying voltage-steps of 20 mV from −100 mV to +100 mV from a holding potential of 0 mV. The current values at +60 mV were normalized to the capacitance of each cell and averaged.
The WT current in nominally 0 Ca2+ was significantly smaller than that in 22 µM Ca2+ concentration (
Currents in HEK-293 cells transfected with EGFP and WT mBest2 (left column) or D304A mutant (right column). Transfected cells were identified by the EGFP-expressed green fluorescence. Whole-cell voltage clamp recordings were obtained with pipette solutions containing nominally 0 (A) or 22 µM free Ca2+ (B–D). For each type of channel, recordings in B–D were obtained from the same cell, while traces in A are from different cells. Voltage steps of 200 ms duration were given 2 min after the reaching of the whole-cell configuration from a holding potential of 0 mV to voltages between −100 and +100 mV in 20 mV steps. In the left column, panels C and D show the reversible block of the WT current by 2 mM SITS, a Cl− channel blocker. The mutant D304A did not show an appreciable current when Ca2+ was present in the intracellular solution (right column; see also
Mean current densities from non-transfected cells (HEK nt) and cells transfected with EGFP and WT or mutated mBest2. The intracellular pipette solution contained nominally 0 (white bar) or 22 µM free Ca2+ (black bar). Data are shown as mean value±standard error of the mean. Each data represents the mean of at least five cells. Control experiments with non-transfected HEK-293 cells did not show any appreciable current. Mean current densities in the presence of 22 µM free Ca2+ of WT, E306A and D312A were significantly higher than those in nominally 0 Ca2+ (P<0.02; N = 5–13), whereas currents at the two Ca2+ levels were not statistically different for D301A, D304A and D304A+E306A (P>0.05, N = 5–20). Currents in the presence of 22 µM free Ca2+ of D301A, D304A, and D304A+E306A were substantially decreased compared with WT (P<0.002 for each group, N = 5–20). E306A had a mean value not significantly different from WT (P = 0.5; N = 7–8). D312A showed a current increase compared to WT both in the absence (P = 0.03; N = 9–13) and in the presence of Ca2+ (P = 0.003; N = 6–8).
In contrast, D304A and D301A produced negligibly small currents in both Ca2+ levels (
Finally, the double mutant D304A+E306A abolished the current, similarly to the single mutant D304A (
Experiments showed that WT, E306A and D312A mutants allowed a substantial Ca2+-activated current, whereas D301A and D304A mutants produced a negligibly small Ca2+-activated current. These results were fully consistent with our theoretical predictions.
Understanding the interactions between the Ca2+ ions and the Asp-rich domain in bestrophins is an important step in the investigation of the physiological role of these proteins, because they are putatively involved in the Ca2+-activated Cl− current in some epithelial cells
We propose that the Asp-rich domain located at the C-terminal region of bestrophins can contribute to Ca2+ binding
In order to identify negatively charged residues in the domain involved in Ca2+ binding, we adopted a multifaceted strategy involving homology modelling, MD simulations, immunostaining and electrophysiological experiments of WT and mutated bestrophins.
Theoretical data suggest that not all Asp and Glu residues have equal importance in Ca2+ binding. Simulations of D301A and D304A mutants point to the key role of these residues for binding. Measures of Ca2+-sensitive Cl− current of WT and mutant bestrophins expressed in HEK-293 cells show that D301A and D304A mutations do actually affect the functionality of the channel, dramatically reducing the Ca2+-activated current amplitude. These findings are fully consistent with our theoretical predictions.
Other residues emerge to have relevance for Ca2+ binding, albeit smaller, (
In conclusion, simulations suggest that at least two Ca2+-binding sites could be present in the Asp-rich domain of bestrophins. Furthermore, electrophysiological experiments show that mutations predicted by our modeling have an impact on the function, decreasing the Ca2+-activated current amplitude and confirming the importance of the bestrophin Asp-rich domain in Ca2+-dependent activation of the channel.
Finally, the presence of Asp repeats also in thrombospondins and BKCa channels suggests that they could represent a general motif for Ca2+ binding in different classes of proteins.
The sequences of the human TSP-1 T35-7 repeats (PDB code: 1UX6)
Models of the Asp-rich domain of hBest1 were inserted in a box of edges 49, 50 and 53 Å filled with ∼4,100 water molecules
For M5, energy minimization of water and counterions was performed with position restraints on the Asp-rich domain and Ca2+ ions, with a force constant of value 25.0 kcal/mol Å−2. After the first 300 cycles of steepest descent minimization, conjugate gradient method was used until 50,000 cycles. Then steepest descent minimization of the system without restraints was performed for another 150 cycles, following by conjugate gradient minimization until 50,000 cycles. After that, constrained solute and Ca2+ ions underwent 60 ps of linear heating MD from 0 K till 300 K. Restraints on Asp-rich domain and Ca2+ ions corresponded to a force constant of 5.0 kcal/mol Å−2. A time step of 2 fs was used. Finally, the system underwent NPT MD simulations for 75 ps at 1 fs time step. The system was maintained at the reference pressure and temperature of 1 bar and 300 K, respectively, by coupling the system to a Berendsen thermostat and barostat
Finally, unrestrained MD simulations were carried out for an overall length of 70 ns. A time step of 2 fs was used. All bond lengths were kept fixed applying the LINCS algorithm
Models with four or three Ca2+ ions were built starting from the MD snapshot of M5 at 9 ns (after the initial relaxation) by manually removing one or two ions (see above). In M4, M3′ and M3″ models Ca3 was always removed since it is immediately solvated during the simulation of M5 (
The models of the Asp-rich domain mutants (D301A, D302A, D303A, D304A, E306A, D312A, E306A+D323A) were built, based on the M5 model, using the program Molden
The model of mBest2 Asp-rich domain underwent the same protocol of minimization and relaxation of hBest1, followed by a 60-ns MD run.
All the systems underwent minimization using Amber 8.0 program
A 60-ns long metadynamics simulation was performed by biasing two collective variables (CVs) with a history-dependent potential. These are the coordination numbers of Ca2 and Ca4 to Asp and Glu residues of the Asp-rich domain. They were defined as the number of contacts shorter than 4.3 Å among one Ca2+ ion and all carboxylate carbons of the studied domain:
The clone of mBest2 in pCMV-Sport6 mammalian expression plasmid was obtained from the RZPD (Berlin, Germany) collection (Deutsches Ressourcenzentrum für Genomforschung). Site-specific mutations of mBest2 were made using a PCR-based site-directed mutagenesis kit (Quiagen). Mutations were confirmed by DNA sequencing.
mBest2 and its mutants were transfected into HEK-293 cells along with a vector that expressed EGFP (pEGFP; Invitrogen) at a 1∶8 ratio using Fugene-6 transfection reagent (Roche). 2 days after transfection, cells were dissociated and replated. Transfected cells were identified by EGFP fluorescence and used for patch clamp experiments within 3 days after transfection.
To test successful expression of proteins, as well as their spatial distribution in HEK-293 cells, we used co-staining of antibodies against mBest2 and labeled wheat germ agglutinin (WGA) as a marker of glycosylated surface-expressed proteins – a method previously used to show localization of proteins in cell membrane and/or close submembrane space
Transfected cells (without the EGFP expressing vector) were fixed with 4% paraphormaldehyde for 20 min, washed, incubated with 5 µg/ml WGA conjugated to Alexa Fluor 488 (Invitrogen) for 20–30 min, incubated for 30 min in blocking solution containing 1% BSA (Sigma), 0.1% Triton X-100 (Sigma) and 1% FCS (Sigma), then for 2 hours with an antibody against mBest2
Currents were measured with an Axopatch 200B patch-clamp amplifier (Molecular Devices, CA, USA) in the whole-cell voltage-clamp mode. The amplifier was controlled via a Digidata 1440A (Molecular Devices, CA, USA).
Patch pipettes were made using borosilicate capillaries (WPI, Sarasota, Florida, USA) and pulled with a Narishige PP83 puller (Narishige, Tokyo, Japan), using a double stage pull. The pipette resistance was 2–4 MΩ. Data were sampled at 20 kHz and low-pass filtered at 10 kHz. Acquisition and storage of data were performed with the PClamp 10 software (Axon Instruments, CA, USA). Data analysis and figures were made with the Clampfit 10 software (Axon Instruments, CA, USA) and Igor 6.0 software (Wavemetrics, Lake Oswego, OR, USA).
The holding potential was 0 mV and a voltage protocol from −100 mV to +100 mV, with 20 mV steps of 200 ms duration was applied (starting 2 minutes after reaching the whole-cell configuration). Cell capacitance was estimated from a 10 mV step test protocol in the presence of the extracellular Cl− current blocker SITS. Current densities were calculated normalizing the current recorded at +60 mV to the capacitance of each cell. Data are shown as mean±standard error of the mean. N is the number of cells. Statistical significance was determined using un-paired
The standard extracellular solution contained (in mM): 140 NaCl, 5 KCl, 2 CaCl2, 1 MgCl2, and 10 HEPES, 10 Glucose, pH = 7.4. The pipette solution contained (in mM): 130 CsCl, 2 MgCl2, 10 HEPES, 5 EGTA without added Ca2+ for the nominally 0 Ca2+ solution, or with 5 mM CaCl2 for the 22 µM Ca2+ free pipette solutions (free Ca2+ was calculated with the program WinMAXC, C. Patton, Stanford University, Palo Alto, CA, USA). pH was adjusted to 7.3 by adding HCl or CsOH. The osmolarity was adjusted with sucrose to 310 or 300 mOsm for the extracellular and intracellular solution, respectively.
To block Cl− currents, the extracellular blocker 4-acetamido-4′-isothiocyanato-stilben-2,2′-disulfonate (SITS) was directly dissolved in the extracellular solution at 2 mM. All chemicals were purchased from Sigma. All experiments were carried out at room temperature (20–22°C).
Test of the accuracy of the force field used in the MD simulations
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Percentage of time during which specific residue binds Ca2+ ions. Percentages were averaged over all MD simulations of all the studied models. Ca3 is not reported as it is never bound to the protein. “bb” indicates that the backbone carbonyl oxygen is involved in the binding.
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MD simulations of the M3′ model and its alanine mutants. Ca2+ protein coordination numbers in WT and the investigated mutants of the Asp-rich domain, as observed after 20 ns of MD simulations. First number refers to the number of peptide O-donors, whereas the second refers to the number of coordinated waters. Ca2+ ions were considered bound if they were coordinated with at least 5 protein O-donors and not more than 2 water molecules. Bound ions are highlighted (see text).
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Metadynamics simulation of M3′ model. A. Number of peptide O-donors (red) and water molecules (blue) coordinating Ca1 through the metadynamics simulations of the Asp-rich domain of hBest1. As in standard MD, Ca1 is stably bound to the protein for most of the time. B. Number of peptide O-donors coordinating Ca2 (black) and Ca4 (green) plotted as a function of the metadynamics simulation time.
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Most populated conformations of hBest1 Asp-rich domain as sampled by the metadynamics simulations. Asp/Glu residues coordinating Ca2+ ions are depicted. Ca2+ ions are represented as spheres (green: Ca1, orange: Ca2, yellow: Ca4) and numbered according to their binding positions as represented in the
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We thank Monica Mazzolini and Lara Masten for help with the mutations of mBest2, and Alessandro Laio, Stefano Piana, Fabrizio Marinelli and Xevi Biarnes for kindly providing the metadynamics code.