Edwin C Fluck1, Aysenur Torun Yazici2, Tibor Rohacs2, Vera Y Moiseenkova-Bell3. 1. Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Biochemistry and Molecular Biophysics Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. 2. Department of Pharmacology, Physiology and Neuroscience, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA. 3. Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: vmb@pennmedicine.upenn.edu.
Abstract
Transient receptor potential vanilloid 5 (TRPV5) is a kidney-specific Ca2+-selective ion channel that plays a key role in Ca2+ homeostasis. The basal activity of TRPV5 is balanced through activation by phosphatidylinositol 4,5-bisphosphate (PI(4,5)P2) and inhibition by Ca2+-bound calmodulin (CaM). Parathyroid hormone (PTH), the key extrinsic regulator of Ca2+ homeostasis, increases the activity of TRPV5 via protein kinase A (PKA)-mediated phosphorylation. Metabolic acidosis leads to reduced TRPV5 activity independent of PTH, causing hypercalciuria. Using cryoelectron microscopy (cryo-EM), we show that low pH inhibits TRPV5 by precluding PI(4,5)P2 activation. We capture intermediate conformations at low pH, revealing a transition from open to closed state. In addition, we demonstrate that PI(4,5)P2 is the primary modulator of channel gating, yet PKA controls TRPV5 activity by preventing CaM binding and channel inactivation. Our data provide detailed molecular mechanisms for regulation of TRPV5 by two key extrinsic modulators, low pH and PKA.
Transient receptor potential vanilloid 5 (TRPV5) is a kidney-specific Ca2+-selective ion channel that plays a key role in Ca2+ homeostasis. The basal activity of TRPV5 is balanced through activation by phosphatidylinositol 4,5-bisphosphate (PI(4,5)P2) and inhibition by Ca2+-bound calmodulin (CaM). Parathyroid hormone (PTH), the key extrinsic regulator of Ca2+ homeostasis, increases the activity of TRPV5 via protein kinase A (PKA)-mediated phosphorylation. Metabolic acidosis leads to reduced TRPV5 activity independent of PTH, causing hypercalciuria. Using cryoelectron microscopy (cryo-EM), we show that low pH inhibits TRPV5 by precluding PI(4,5)P2 activation. We capture intermediate conformations at low pH, revealing a transition from open to closed state. In addition, we demonstrate that PI(4,5)P2 is the primary modulator of channel gating, yet PKA controls TRPV5 activity by preventing CaM binding and channel inactivation. Our data provide detailed molecular mechanisms for regulation of TRPV5 by two key extrinsic modulators, low pH and PKA.
Calcium homeostasis is essential for survival and is accomplished through the coordination of functions in the intestine, bone, and kidney (Frick and Bushinsky, 2003; van de Graaf et al., 2007). In the kidney, transient receptor potential vanilloid 5 (TRPV5) is the key regulator of calcium homeostasis (Hoenderop et al., 2005). It functions by reabsorbing calcium from the tubular fluid and facilitating its transport back into the circulation (van de Graaf et al., 2007; van Goor et al., 2017; Zhou and Greka, 2016). Mice lacking TRPV5 display hypercalciuria and disruptions to bones (Hoenderop et al., 2003). Furthermore, loss-of-function mutations of TRPV5 in humans are associated with kidney stones (Oddsson et al., 2015; Wang et al., 2017). Parathyroid hormone (PTH), the key regulator of Ca2+ homeostasis, increases Ca2+ reabsorption in the kidney by increasing TRPV5 activity via protein kinase A (PKA)-mediated phosphorylation (de Groot et al., 2008, 2009, 2011; van Abel et al., 2005).Chronic metabolic acidosis is a condition that leads to increased calcium excretion in the urine (Nijenhuis et al., 2006). Urine pH can reach as low as pH 4.4 in some conditions, and low pH has been shown to inhibit the transport of calcium in the distal nephron (Bindels et al., 1994; Hoenderop et al., 2002). TRPV5 is directly inhibited by low pH, and the channel was proposed to contain both intra- and extracellular titratable pH sensors, Lys607 and Glu522 (Cha et al., 2007; Hoenderop et al., 1999; Yeh et al., 2003, 2005). It has been shown that low intracellular pH decreases the open probability of the channel (Po) (Cha et al., 2007). While functional studies have revealed aspects of TRPV5 modulation by pH (Cha et al., 2007; Hoenderop et al., 1999; Yeh et al., 2003, 2005), limited information can be deduced about the structural mechanisms of the pH regulation of TRPV5.TRPV5 shows constitutive activity, which is maintained by activation of its endogenous co-factor phosphatidylinositol 4,5-bisphosphate (PI(4,5)P2) (Lee et al., 2005). TRPV5 also undergoes Ca2+-induced inactivation, which is mediated by calmodulin (CaM) binding to the channel (de Groot et al., 2011). The precise balance between PI(4,5)P2 activation and CaM inhibition determines the basal activity of the channel (Cao et al., 2013; van der Wijst et al., 2019). Recently, TRPV5 structural studies in the presence of CaM and PI(4,5)P2 revealed how this channel’s constitutive activity is accomplished. PI(4,5)P2 binding is coordinated by the four positively charged residues located between the N linker (Arg302, Arg305), the S4–S5 linker (Lys484), and the S6 helix (Arg584) of the channel, and it induces TRPV5 conformational rearrangements to dilate the pore in order to open the channel (Hughes et al., 2018b). Calcium-activated CaM binds to the distal C terminus (residues His699–Thr709) of the channel and sterically blocks the ion-conducting pore at Trp583 through a cation-π interaction with Lys116 on the C lobe of CaM (Dang et al., 2019; Hughes et al., 2018b). However, the structural basis of the regulation of the channel by extrinsic physiological and pathophysiological regulators such as PKA and low pH, and their relationship to PI(4,5)P2 and CaM, has not been studied.Here, we used cryoelectron microscopy (cryo-EM) to gain structural insights into the mechanism of TRPV5 modulation by low pH and PKA and their relationship to the intrinsic regulators PI(4,5)P2 and CaM. Our results show that low pH precludes TRPV5 interaction with PI(4,5)P2 and reveal unique synergetic effects of pH and the lipid co-factor on channel gating. Moreover, our results suggest that PKA phosphorylation is another modulator of channel activity that interplays with PI(4,5)P2 and CaM modulation. These data provide understanding of the TRPV5 regulation in the kidney by two key physiological and pathophysiological regulators, which may pave the road to development of better therapeutics for kidney stone disease.
RESULTS
TRPV5 pH modulation
To understand how TRPV5 is modulated by pH, first we measured TRPV5 activity in Xenopus oocytes using two-electrode voltage clamp (TEVC) recordings. We measured inwardly rectifying monovalent TRPV5 currents upon application of solutions with different pH values. Figure 1A shows that lower extracellular pH decreases TRPV5 current amplitudes, which is consistent with earlier whole-cell patch-clamp experiments in CHO cells (Yeh et al., 2003).
Figure 1.
TRPV5 structures and function in high and low pH
(A) TEVC data showing TRPV5 channel activity in Xenopus oocytes under various pH states. Measurement of monovalent currents through TRPV5 were performed as described in the STAR Methods. Currents were normalized to pH 7.4 values for each oocyte and plotted as mean ± SD and as scatterplots.
(B) Pore diagram plotting pore radius of TRPV5pH8 (blue), TRPV5pH6 (teal), and TRPV5pH5 (wheat) as a function of distance along the ion-conducting pore.
(C) Pore profiles of TRPV5pH8 (blue), TRPV5pH6 (teal), and TRPV5pH5 (wheat) highlighting constriction residues D542, I575, and W583.
(D) Residues around the intracellular pH sensor K607 are highlighted, with distances labeled between residues involved in salt bridge formation.
(E) Extracellular pH sensor E522.
(F) Comparison between TRPV5pH6 (teal) and TRPV5pH5 (wheat) in reference to TRPV5pH8 (blue) showing the positions of the ARD.
(G) Comparison between TRPV5pH6 (teal) and TRPV5pH5 (wheat) in reference to TRPV5pH8 (blue) showing the rotation of the ARD. See also Figures S1–S4.
Following our electrophysiological results, we investigated the effect of low pH on TRPV5 at the structural level using high-resolution cryo-EM. Full-length rabbit TRPV5 was reconstituted into nanodiscs, and the structure of the apo TRPV5 at pH 8.0 (TRPV5pH8) was determined using cryoSPARC at 3.2 Å resolution (Figures 1B, 1C, and S1; Table 1). To determine TRPV5 structures at lower pH, TRPV5 was first reconstituted into nanodiscs at pH 8.0 and then the buffer pH was adjusted to pH 5.0 or to pH 6.0, followed by 5 min of incubation before the sample was frozen. Data were also processed using cryoSPARC and produced the TRPV5pH6 structure at 3 Å resolution and TRPV5pH5 structure at 3.7 Å resolution (Figures 1B, 1C, and S1; Table 1). The domain architectures of each of these newly solved TRPV5 structures in nanodiscs were similar to previously reported TRPV5 structures (Dang et al., 2019; Hughes et al., 2018a, 2018b, 2019) (Figure S2).
Table 1.
Refinement statistics for TRPV5 structures
TRPV5pH8 (EMDB: 25716, PDB: 7T6J)
TRPV5pH6 (EMDB: 25717, PDB: 7T6K)
TRPV5pH5 (EMDB: 25718, PDB: 7T6L)
TRPV5pH6+PIP2-state1 (EMDB: 25719, PDB: 7T6M)
TRPV5pH6-state2 (EMDB: 25720, PDB: 7T6N)
TRPV5pH6-state3 (EMDB: 25721, PDB: 7T6O)
TRPV5PKA (EMDB: 25722)
TRPV5T709D (EMDB: 25723, PDB: 7T6P)
TRPV5T709D+PIP2 (EMDB: 25724, PDB: 7T6Q)
TRPV5T709D+CaM (EMDB: 25725, PDB: 7T6R)
Data collection and processing
Magnification
105,000×
81,000×
105,000×
81,000×
105,000×
130,000×
81,000×
81,000×
105,000×
Detector mode
super-resolution
super-resolution
super-resolution
super-resolution
super-resolution
super-resolution
super-resolution
super-resolution
super-resolution
Voltage (kV)
300
300
300
300
300
300
300
300
300
Pixel size (Å)
0.83
1.06
0.83
1.06
0.83
1.07
1.06
1.06
0.83
Total extracted particles (no.)
242,844
578,132
221,439
1,536,734
1,772,051
1,287,614
2,747,656
1,306,911
961,168
Refined particles (no.)
111,116
158,001
24,329
599,459
373,133
296,146
938,370
342,338
198,281
Final particles (no.)
54,415
27,988
11,398
63,746
67,926
172,497
6,016
419,343
30,765
108,153
Symmetry
C4
C4
C4
C4
C4
C4
C1
C4
C4
C4
Map sharpening factor (Å2)
122
82
89
92
92
85
16
110
86
108
Map resolution threshold (Å)
3.2
3.0
3.7
2.8
2.9
2.6
4.2
2.8
3.4
3.0
FSC threshold
0.143
0.143
0.143
0.143
0.143
0.143
0.143
0.143
0.143
0.143
Model refinement
Resolution cutoff (Å)
3.16
3.00
3.70
2.80
2.90
2.60
-
2.80
3.40
3.00
Model composition
Non-hydrogen atoms
19,412
19,412
19,412
19,600
19,412
19,412
-
19,412
19,600
19,412
Protein residues
2,424
2,424
2,424
2,424
2,424
2,424
-
2,424
2,424
2,424
Ligands
-
-
-
PIO, 4
-
-
-
-
PIO, 4
-
Root-mean-square deviations
Bond lengths (Å)
0.005
0.005
0.007
0.006
0.007
0.004
-
0.005
0.006
0.005
Bond angles (°)
1.093
1.050
1.179
1.080
1.076
0.793
-
1.127
1.294
1.072
Validation
MolProbity score
1.38
1.33
1.62
1.10
1.38
1.04
-
1.43
1.52
1.46
Clashscore
3.83
3.34
5.37
3.12
3.98
2.57
-
3.65
4.88
3.44
Poor rotamers (%)
0.05
0.05
0.00
0.00
0.19
0.00
-
0.00
0.00
0.00
CαBLAM outliers (%)
1.63
1.51
1.38
1.84
0.54
0.50
-
3.34
2.17
2.22
EMRinger score
2.58
3.50
1.57
3.89
3.52
3.82
-
2.86
2.18
3.26
Ramachandran plot
Favored (%)
96.68
96.72
95.18
98.26
96.80
98.67
-
96.01
96.05
95.35
Allowed (%)
3.16
3.28
4.82
1.74
3.20
1.33
-
3.99
3.95
4.85
Disallowed (%)
0.17
0.00
0.00
0.00
0.00
0.00
-
0.00
0.00
0.00
To compare these three new TRPV5 structures (TRPV5pH8, TRPV5pH6, TRPV5pH5), we aligned them on the tetrameric pore (Lys490–Phe512 and Phe553–Ala586) of each channel. Upon comparison (Figures 1B–1G and S3A), we noted that TRPV5pH6 and TRPV5pH5 adopted a different conformation from TRPV5pH8 (Figures 1B–1G). While the pore radii at Ile575 of TRPV5pH6 (1.2 Å) and TRPV5pH5 (0.7 Å) were comparable to that of TRPV5pH8 (0.9 Å) (Figure S3A), in both low-pH structures one difference could be seen clearly in the new position of Trp583 at the bottom of the channel pore that narrowed the ion-permeation pathway (Figures 1B, 1C, and S3A). In addition to changes observed in the pore domain between TRPV5pH8, TRPV5pH6, and TRPV5pH5 (Figures 1B and 1C), we noted that the ankyrin repeat domain (ARD) adopted a slightly different conformation in the TRPV5pH6 and TRPV5pH5 structures. At low pH, the ARDs of TRPV5 moved upward by 2.2 Å toward the transmembrane domain (TMD) compared with TRPV5pH8 (Figure 1F) and rotated slightly (Figure 1G). These conformational changes in the channel seem to be initiated by the formation of a salt-bridge network near the proposed intracellular pH sensor Lys607 (Figures 1D, S4A, and S4B). A salt bridge forms between amino acid residues of opposite charges via an electrostatic interaction within 4 Å of distance (Donald et al., 2011). Particularly, in the TRPV5pH5 and TRPV5pH6 structures, Arg606 and Lys607 both interact with Asp406 and form two salt bridges, which could not be observed in the TRPV5pH8 structure (Figures 1D, S4A, and S4B). Moreover, the formation of the salt bridge between Arg409 and Glu294 may also stabilize these newly observed states at low pH (Figures 1D, S4A, and S4B). Together, the formation of these three salt bridges between TRP helix, S2–S3 linker, and N linker locked the channel into this new low-pH state (Figure 1). Lowering the pH did not have an effect on the proposed extracellular pH sensor Glu522 (Figure 1E). While we identified the molecular mechanism of the pH effect on the proposed intracellular pH sensor near Lys607 in the channel, the experiments could not demonstrate how pH exactly inhibited the channel, as all three structures are essentially in a closed state.We hypothesized that since the key endogenous activator of TRPV5 is PI(4,5)P2 (Lee et al., 2005), its addition to nanodisc-reconstituted TRPV5 and lowering of the pH would allow us to better recapitulate the native environment of TRPV5 and the effect of pH on channel gating. To investigate this effect, we determined the structure of TRPV5 at pH 6.0 in the presence of PI(4,5)P2 under two conditions (Figures 2 and S5; Table 1). We chose to pursue pH 6.0 for these studies, since sample quality significantly diminished at pH 5.0. Under condition 1, nanodisc-reconstituted TRPV5 was incubated with PI(4,5)P2 at pH 8.0 first, as we reported previously (Hughes et al., 2018b), and then the sample pH was adjusted to pH 6.0 for 5 min before freezing. We determined two structures from condition 1: the first structure at 2.7 Å resolution contained a clear PI(4,5)P2 density; therefore we named this structure TRPV5pH6+PIP2-state1 (Figures 2B, 2G, 3B, 3G, 3K, 3O, and S5). A second structure at 2.8 Å resolution did not contain a PI(4,5)P2 density, and we named this structure TRPV5pH6-state2 (Figures 2C, 2H, and S5). These two structures had similar numbers of particles (Figures 2 and S5; Table 1).
Figure 2.
Interplay between pH and PI(4,5)P2 on the TRPV5 structure
(A–D) Pore profiles of (A) TRPV5pH8+PIP2 (pale green), (B) TRPV5pH6+PIP2-state1 (dark green), (C) TRPV5pH6-state2 (dark red), and (D) TRPV5pH6-state3 (orange).
(E) The pore diagram plotted along the ion-conducting pore.
(F–I) Residues around the intracellular pH sensor K607 are highlighted, with distances labeled between residues involved in salt-bridge formation.
(J) Extracellular pH sensor E522. See also Figures S3–S5.
Figure 3.
PI(4,5)P2 binding site of TRPV5 and effect on channel gating
(A–E) View of the pore profiles of (A) TRPV5pH8+PIP2 (pale green), (B) TRPV5pH6+PIP2-state1 (dark green), (C) TRPV5pH6-state3 (orange), and (D) TRPV5T709D+PIP2 (purple), highlighting constriction residues D542, I575, and W583, along with (E) the pore diagram plotting pore radius as a function of distance along the ion-conducting pore.
(F–I) PI(4,5)P2 binding sites of each model with overlaid density contoured at σ = 3.5.
(J–M) Close ups of PI(4,5)P2 binding sites with the positions of R302, R305, K484, and R584.
(N–Q) Calculated electrostatic potential of PI(4,5)P2 binding sites.
Under condition 2, the sample was first adjusted to pH 6.0 again for 5 min before incubation with PI(4,5)P2, as previously described (Hughes et al., 2018b), and then frozen on grids. Condition 2 revealed one structure without a PI(4,5)P2 density, TRPV5pH6-state3, at 2.6 Å resolution (Figures 2D, 2I, and S5; Table 1).While all three structures were resolved at similar resolutions, the PI(4,5)P2 density was observed only in the TRPV5pH6+PIP2-state1 structure (Figures 3G, 3K, and 3O), where the protein was at pH 6.0 for only a short period of time before freezing. The structure of TRPV5pH6+PIP2-state1 resembled our previously determined TRPV5 PI(4,5)P2 bound structure at pH 8.0, referred to as TRPV5pH8+PIP2 (PDB: 6DMU) (Hughes et al., 2018b) (Figures 2A, 2F, 3A, 3F, 3J, and 3N). TRPV5pH6+PIP2-state1 had PI(4,5)P2 fully engaging with the channel (Figure 3G); the pore radius at Ile575 in the TRPV5pH6+PIP2-state1 structure was around 2.7 Å, while in TRPV5pH8+PIP2 it was around 3.3 Å (Figure S3A). Interestingly, the Asp542 in TRPV5pH6+PIP2-state1 was facing the pore vestibule, which differs from the previously observed conformation of Asp542 in TRPV5pH8+PIP2 (Figures 2A, 2B, 2E, and S3A). Asp542 has been shown to adopt two conformations, which is consistent with its dynamic nature, and the upward conformation has been noted only upon PI(4,5)P2 binding at pH 8.0 (Hughes et al., 2018b). Moreover, the salt-bridge networks in the TRPV5pH6+PIP2-state1 between Lys607 and Asp406 and between Arg409 and Glu294 were starting to form (Figures 2G, S4C, and S4D).The TRPV5pH6-state2 structure did not have bound PI(4,5)P2, the pore radius at Ile575 was around 1.1 Å, and all salt bridges at Arg606, Lys607, and Asp406 and at Arg409 and Glu294 were almost fully formed, as similarly observed in TRPV5pH6 (Figures 2C, 2E, 2H, S4C, and S4D). To understand how low pH inhibits TRPV5 after PI(4,5)P2 activation, we again aligned to the tetrameric pore and made comparisons between the TRPV5pH8+PIP2, the TRPV5pH6+PIP2-state1, and the TRPV5pH6-state2 structures. The formation of salt bridges near the proposed intracellular pH sensor Lys607 leads to significant conformational changes in TRPV5pH6+PIP2-state1 compared with TRPV5pH8+PIP2. In TRPV5pH6+PIP2-state1, the ARD shifted upward 4.8 Å and rotated by 3.5°, which was also accompanied by overall movements of 2.2 Å in the S1–S4 bundle, 1.6 Å in the S4–S5 linker, and 1.1 Å in S5 and a 2.0 Å upward movement at the beginning of the TRP helix (Figures 4A and 4B). Also, in TRPV5pH6+PIP2-state1, the S6 helix moved 0.9 Å to constrict the pore but was otherwise in a position similar to that in TRPV5pH8+PIP2. The conformational changes seen in the TRPV5pH6+PIP2-state1 structure seemed to be on the transition to the TRPV5pH6-state2 structure, which had the same, yet larger, movements compared with TRPV5pH8+PIP2. In TRPV5pH6-state2 the ARD shifted upward 4.8 Å and rotated by 6.5°, which was also accompanied by an overall movement of 2.4 Å in the S1–S4 bundle, 2.2 Å in the S4–S5 linker, and 1.7 Å in S5 and a 5.0 Å upward movement at the beginning of TRP helix. Also, in TRPV5pH6-state2, the S6 helix moved by 2.3 Å to constrict the pore in a position similar to that in TRPV5pH6, but with Trp583 in a position similar to that in TRPV5pH8 (Figures 1C, 2C, 4A, and S3A).
Figure 4.
Conformational changes in TRPV5 with pH and PI(4,5)P2
(A) Overlay of monomers in two views and movements of TRPV5pH6+PIP2-state1 (dark green) and TRPV5pH6-state2 (dark red) in reference to TRPV5pH8+PIP2 (pale green).
(B) Comparison of TRPV5pH6+PIP2-state1 (dark green) and TRPV5pH6-state2 (dark red) in reference to TRPV5pH8+PIP2 (pale green) showing the positions and rotation of the ARD.
(C) Overlay of monomers in two views and movements of TRPV5pH6-state3 (orange) and TRPV5pH6 (teal) in reference to TRPV5pH8+PIP2 (pale green).
(D) Comparison of TRPV5pH6-state3 (orange) and TRPV5pH6 (teal) in reference to TRPV5pH8+PIP2 (pale green) showing the positions and rotations of the ARD.
(E) Data summary of TRPV5 excised inside-out patch-clamp experiments (see STAR Methods). Current values (−100 mV) at pH 6.4 are normalized to pH 7.4 for wild-type (WT) TRPV5 and for the D406A mutant. First column visually shows the reference point (pH 7.4), and two-sample t test was used to compare WT and D406A data points. Data were plotted as the mean ± SD.
(F) Representative traces show monovalent inward currents at −100, 0, and 100 mV. Currents were evoked after rundown by application of 25 μM diC8 PI(4,5)P2, and the pH of the solution was alternated between pH 7.4 and pH 6.4.
While the structures of the channel found in condition 1 indicated that low pH induced conformational changes involved in closing the channel, our condition 2, where PI(4,5)P2 was added to the channel protein already at pH 6.0, probed how low pH affects PI(4,5)P2 interaction with the channel. First, we compared TRPV5pH6-state3 and TRPV5pH6 (Figures 4C and 4D) and noticed that these structures are very similar (Figures 4C and 4D). Yet, the notable difference between TRPV5pH6-state3 and TRPV5pH6 is the position of Ile575, which allowed the TRPV5pH6-state3 pore to adopt a wider radius of 2.1 Å compared with the TRPV5pH6 structure at 1.2 Å, confirmed by the model fit to the density (Figures 1B, 1C, 2D, 2E, and S3A). Both the TRPV5pH6-state3 and the TRPV5pH6 structures had similar conformational changes compared with the TRPV5pH8+PIP2 structure, including a 6.2 Å upward shift and 5° rotation of the ARD, as well as overall movements of 2.3 Å in the S1–S4 bundle, 1.9 Å in the S4–S5 linker, 1.5 Å in S5, and 1.7 Å in S6 and a 4.6 Å upward movement at the start of the TRP helix (Figures 4C and 4D). In addition, PI(4,5)P2 was not resolved bound to the TRPV5pH6-state3 channel (Figure 3H), and all key positively charged coordinating residues (Arg302, Arg305, Lys484, and Arg584) were not engaged at this site, suggesting that low pH prevents PI(4,5)P2 from binding (Figures 3H and 3L). This was also confirmed by calculating the electrostatic potential in the PI(4,5) P2 binding site, which revealed less positive charge and reduced binding pocket surface area in TRPV5pH6-state3 compared with TRPV5pH6+PIP2-state1 and TRPV5pH8+PIP2 (Figures 3N–3P). However, under condition 2, we captured TRPV5 in an intermediate, partially open, conformation, suggesting possible transient interactions with PI(4,5)P2 (Figures 3C, 3E, and 3H). We would like to note that under both conditions, lowering the pH again did not have an effect on the extracellular pH sensor Glu522 (Figure 2J).To test the functional importance of the salt-bridge formation between the Lys607 and the Asp406 residues, we mutated the Asp406 residue to Ala (Asp406Ala). We found that this mutation had a profound effect on inhibition by intracellular low pH. Figures 4E and 4F show excised inside-out patch-clamp measurements after current rundown and reactivation by diC8 PI(4,5)P2. Changing the pH of the perfusion solution from pH 7.4 to pH 6.4 inhibited wild-type TRPV5 channel activity by 58.5 ± 6.4%. The D406A mutant, on the other hand, was not inhibited by pH 6.4, but rather its activity increased by 64.4 ± 11.3%.
TRPV5 modulation by PKA
To investigate the effects of post-translational modification by PKA on TRPV5 (de Groot et al., 2009, 2011), we first performed a phosphorylation assay to confirm that the purified TRPV5 protein in detergent could be phosphorylated by the catalytic subunit of PKA (PKAcat) (Figure S6A). Mass spectrometry confirmed that the Thr709 residue in TRPV5 is phosphorylated under these in vitro conditions (see STAR Methods). Next, we utilized cryo-EM under the same experimental conditions to solve the structure of TRPV5 in the presence of PKAcat (TRPV5PKA) at pH 8.0 (Figures S6B–S6F). Extensive computational sorting was employed in cryoSPARC (see STAR Methods, Table 1) and we consistently noted that only one class contained an extra density in the ARD “skirt” in this dataset (Figure S6G). Similar observations were made by our group when we solved the TRPV5 CaM-bound structure (Figure S6H). Thus, knowing that CaM and PKAcat both interact with the distal C terminus of the channel and involve Thr709 for its binding, we attributed this density to the PKAcat (Figure S6G). The TRPV5PKA structure was resolved in C1 symmetry and reached only 4.5 Å resolution, which did not allow us to determine atomic details between PKAcat and the channel (Figures S6B–S6F). Efforts to resolve the TRPV5 structure in the presence of PKAcat to higher resolution and in better detail using all currently available methods were not successful (see STAR Methods). Therefore, we compared this structure with only the CaM-bound TRPV5 by low-pass filtering to 10 Å resolution (Figure S6H). This comparison allowed us to conclude that PKAcat likely interacts with the distal C terminus of the channel transiently, while CaM tightly binds the C terminus and pore of the channel, allowing the TRPV5-CaM structure to be resolved to higher resolution (Figures S6G and S6H). This is not surprising, since the function of a kinase is to phosphorylate its target, for which a stable interaction may not be necessary.Next, due to the transient nature of the complex, we investigated the effect of PKA phosphorylation specifically at the Thr709 residue. We made the Thr709Asp phosphomimetic TRPV5 mutant to simulate PKA phosphorylation at this site, as it has been implemented in previous functional studies (de Groot et al., 2009, 2011). In a cellular environment, TRPV5 is exposed to both PI(4,5)P2 and PKA concurrently. To test our hypothesis on the interplay between PI(4,5)P2 and phosphorylation on TRPV5 gating, we used cryo-EM to solve TRPV5 Thr709Asp mutant (TRPV5T709D) structures with and without PI(4,5)P2. Structures of TRPV5T709D and TRPV5T709D+PIP2 were solved to 2.8 and 3.4 Å resolution, respectively (Figure S7, Table 1). The state of TRPV5T709D largely resembles TRPV5pH8 at the pore region (Figures 5A and 5B), with minimal conformational changes at the ARDs region of the channel (all-atom root-mean-square deviation [RMSD] 1.08 for TRPV5T709D versus TRPV5pH8) (Figures 5E–5G). On the other hand, the TRPV5T709D+PIP2 structure was captured at a new intermediate conformation, different from the original fully open TRPV5pH8+PIP2 structure (Figure 3). Interestingly, it also differs from the newly obtained partially open intermediates TRPV5pH6+PIP2-state1 and TRPV5pH6-state3 (Figure 3).
Figure 5.
TRPV5 in a phosphorylated state interacts with PI(4,5)P2
(A–E) Pore profiles of (A) TRPV5pH8 (blue), (B) TRPV5T709D (pink), (C) TRPV5T709D+PIP2 (purple), and (D) TRPV5pH8+PIP2 (pale green) highlighting constriction residues D542, I575, and W583, along with (E) the pore diagram plotting pore radius as a function of distance along the ion-conducting pore.
(F) Overlay of monomers in two views and movement of TRPV5T709D (pink) in reference to TRPV5pH8 (blue).
(G) Comparison of TRPV5T709D (pink) in reference to TRPV5pH8 (blue) showing the position, but lack of rotation, of the ARD.
(H) Overlay of monomers in two views and movements of TRPV5T709D (pink) and TRPV5T709D+PIP2 (purple) in reference to TRPV5pH8+PIP2 (pale green).
(I) Comparison of TRPV5T709D (pink) and TRPV5T709D+PIP2 (purple) in reference to TRPV5pH8+PIP2 (pale green) showing the positions and rotations of the ARD.
(J) Excised inside-out patch-clamp experiments from Xenopus oocytes expressing either WT TRPV5 or T709D mutant TRPV5 under different concentrations of PI(4,5)P2. Currents at −100 mV were normalized to 50 μM PI(4,5)P2 for each patch and plotted as the mean ± SD and as scatterplots on the bar graph.
(K) Representative traces for excised patch experiments. Measurements of monovalent TRPV5 currents were performed as described under STAR Methods. Top traces show currents at 100 mV, bottom traces at −100 mV; dashed lines show zero current. The establishment of the inside-out configuration (i/o) is indicated by the arrows. Different concentrations of diC8 PI(4,5)P2 were applied after current rundown, as indicated by the thick horizontal lines. See also Figures S3, S6, and S7.
In the TRPV5T709D+PIP2 structure, PI(4,5)P2 was resolved at the same binding site as in the TRPV5pH8+PIP2 structure and located between the N linker, the S2–S3 linker, the S4–S5 linker, and the S6 helix (Figure 3). Binding in this pocket induced the conformational changes needed to open the lower gate, yet the pore radius measured at Ile575 in the TRPV5T709D+PIP2 structure is around 2.4 Å, compared with the fully open TRPV5pH8+PIP2 structure (around 3.3 Å) (Figures 5E and S3B). In addition, Asp542 was resolved facing the pore vestibule due to the dynamic nature of the selectivity filter, differing from the TRPV5pH8+PIP2 state (Figures 5 and S3). Moreover, the channel underwent several conformational changes that differ from the fully open TRPV5pH8+PIP2 (Figures 5H and 5I). In TRPV5T709D+PIP2 structure, the ARD shifts upward 5 Å and rotates by 3.5° compared with TRPV5pH8+PIP2, which is also accompanied by an overall movement of 2.0 Å in the S1–S4 bundle, 1.5 Å in the S4–S5 linker, and 1.0 Å in S5 and a 2.3 Å upward movement at the beginning of the TRP helix (Figures 5H and 5I). Interestingly, when we compared TRPV5pH8+PIP2 and TRPV5T709D+PIP2 structures, it became evident that the Thr709Asp phosphomimetic mutation is influencing the position of the ARDs in the TRPV5 structure, but not the opening of the channel (Figures 5H and 5I). It seemed that PI(4,5)P2, as the endogenous modulator, was predominantly responsible for stabilizing the open state of the TRPV5. To further test this hypothesis, we measured wild-type and Thr709Asp TRPV5 activity in excised inside-out patch-clamp recordings. A rundown of currents following membrane excision was observed in both wild type and TRPV5 Thr709Asp mutant. This rundown is typical of PI(4,5)P2-dependent ion channels and is caused by dephosphorylation of PI(4,5)P2 by lipid phosphatases in the patch membrane. Application of diC8 PI(4,5)P2 in the perfusion restored channel activity for both Thr709Asp mutant and wildtype TRPV5. Since current amplitudes in excised patch recordings are highly variable between oocytes, we normalized current amplitudes to those at 50 μM diC8 PI(4,5)P2. As shown in Figures 5J and 5K, the Thr709Asp mutation did not alter TRPV5 dependence on diC8 PI(4,5)P2, and different concentrations of diC8 PI(4,5)P2 evoked currents at comparable magnitudes.As indicated by previous studies, the binding of CaM to the TRPV5 Thr709Asp mutant is partially impaired, as seen through pull-down assays (de Groot et al., 2011). To further investigate the effects of Thr709 phosphorylation on channel gating, the interaction between TRPV5 Thr709Asp mutant and CaM was further examined through cryo-EM structural studies. Structural studies were performed on the nanodisc-reconstituted TRPV5 Thr709Asp mutant incubated with CaM in the presence of calcium (TRPV5T709D+CaM). Data processing revealed the TRPV5T709D+CaM structure at 3.0 Å resolution and no density that could be attributed to CaM. The TRPV5T709D+CaM structure was identical to the TRPV5pH8 and TRPV5T709D structures (Figures S6I, S6J, and S7; Table 1).
DISCUSSION
TRPV5 is a highly selective calcium channel that is primarily expressed in the kidney and plays an essential role in calcium reabsorption (Peng, 2011; van der Wijst et al., 2019; van Goor et al., 2017). TRPV5 gating is tightly regulated by numerous endogenous modulators to precisely control calcium influx (de Groot et al., 2011; Lee et al., 2005; Peng, 2011; van der Wijst et al., 2019). In this study, we have presented molecular details of the interplay between PI(4,5)P2, pH, CaM, and PKA phosphorylation on TRPV5 gating.PI(4,5)P2 is a general regulator of many different ion channels, including TRP channels. For the majority of ion channels, PI(4,5)P2 acts as an obligate co-factor necessary for channel activity (Suh and Hille, 2008). Phosphoinositide regulation of TRP channels is more complex in many cases, but for the vast majority of TRP channels, PI(4,5)P2 acts as a positive regulator (Rohacs, 2014). Most TRP channels require additional factors to open, but TRPV5 and its close relative TRPV6 are opened by resting levels of PI(4,5)P2 alone (Rohacs, 2014), making them constitutively active. Thus, these channels are ideal model systems to understand the molecular mechanism of channel opening by this core regulator. Currently, the only published TRP channel structure where PI(4,5)P2 is resolved, and induces an open conformation, is our previously published TRPV5 structure at 4 Å resolution (Hughes et al., 2018b). Here, we determined two new structures of TRPV5 with PI(4,5)P2, at 2.8 Å for TRPV5pH6+PIP2-state1 and at 3.4 Å for TRPV5T709D+PIP2. In both cases, we clearly resolved the PI(4,5)P2 density in the previously proposed PI(4,5)P2 binding site (Hughes et al., 2018b) and showed that addition of PI(4,5)P2 to the channel clearly produced conformational changes, which substantially increased TRPV5 pore diameter compared with the structure without PI(4,5)P2. These results provide a solid structural basis for channel opening by the key endogenous gating molecule PI(4,5)P2.Metabolic acidosis is a pathophysiological condition characterized by acid-base imbalance in the body, and it is common in people with kidney disease (Wagner and Mohebbi, 2010). It has been shown that TRPV5-dependent Ca2+ reabsorption decreases during chronic metabolic acidosis and leads to kidney stone formation, suggesting that extracellular protons inhibit the channel (Na and Peng, 2014; Wagner and Mohebbi, 2010). Moreover, it has been shown that not only extracellular pH, but also intracellular protons regulate TRPV5 and have similar effects on single-channel properties of the channel (Yeh et al., 2003, 2005). In this study, we established that lowering of pH leads to the channel closing through the formation of the salt bridges around the proposed intracellular pH sensor Lys607 in the channel (Cha et al., 2007) and the hindrance of PI(4,5)P2 interaction with TRPV5. The role of the salt bridge between Lys607 and Asp406 is supported both by our finding that the Asp406Ala mutation eliminated inhibition of TRPV5 by pH 6.4 in excised inside-out patches and by earlier findings that neutralization of the Lys607 residue reduced inhibition by low intracellular pH (Yeh et al., 2005). In addition, Asp406 was previously implicated in the binding site of the TRPV5 inhibitor ZINC17988990, highlighting its role in channel inhibition (Hughes et al., 2019). In addition, we showed that lowering the pH did not have an effect on the position of the extracellular pH sensor Glu522 in the structures (Yeh et al., 2003, 2006); nevertheless, it could be that cross talk between intracellular and extracellular TRPV5 sensors has an additive effect on channel opening and closing (Cha et al., 2007).We determined three structures of TRPV5 with added PI(4,5)P2 at pH 6.0. The lipid density was detectable only in a subpopulation of the images where the channel was preincubated at pH 8.0 with PI(4,5)P2 and pH was lowered to 6.0 only before freezing the samples (TRPV5pH6+PIP2-state1). This suggests that we captured the channel in the process of PI(4,5)P2 dissociating from the protein. When the channel protein was kept at pH 6.0 before the addition of PI(4,5)P2 the lipid density was absent (TRPV5pH6-state3), indicating that low pH prevented lipid binding to the protein. Intriguingly, our results are in agreement with a recently proposed computational model for TRPV5 modulation by PI(4,5)P2 (Fathizadeh et al., 2021), which suggested that binding of PI(4,5)P2 to the channel depends on the protonation state of the lipid. Establishing whether PI(4,5)P2 dissociation from the channel is primarily caused by protonation of the lipid, conformational changes in the protein, or their combination will require more work. Overall, our data indicate that both conformational changes around the S2–S3 and the TRP helix that prevent the channel from opening, together with the disruption of the PI(4,5)P2-protein interaction, lead to channel closing.Our results on TRPV5 gating by PKA revealed that PKA transiently interacts with the channel at the distal C terminus and has minimal effect on overall conformational changes. Yet, it supports a previously proposed model, which suggested that TRPV5 phosphorylation by PKA at Thr709 abolishes CaM binding to TRPV5 (de Groot et al., 2009, 2011), causing TRPV5 to remain in the open/activated state but only in the presence of PI(4,5)P2. Our structures of TRPV5T709D and TRPV5T709D+PIP2 showed states similar to TRPV5pH8 and TRPV5pH8+PIP2, respectively. One noticeable difference was observed between the TRPV5pH8+PIP2 and the TRPV5T709D+PIP2 structures: the TRPV5T709D+PIP2 pore did not capture a fully open state. This is perhaps because we could resolve only a transitional state of the channel on the way to a fully open state or the Thr709Asp phosphomimic mutation affects the maximum pore opening. Our results again confirmed that PI(4,5)P2 is an indispensable activator of TRPV5 (Hughes et al., 2018b; Lee et al., 2005; Rohacs et al., 2005) and showed that PKA phosphorylation alone does not open the channel (de Groot et al., 2009, 2011), but likely increases channel activity by preventing inhibition by CaM.TRPV5 and TRPV6 are closely related epithelial Ca2+ channels, the products of a relatively recent gene duplication (Na and Peng, 2014; Peng, 2011). These two channels share 80% sequence homology (Figure S2) and they have very high functional similarity with each other, more than with other members of the TRPV subfamily (Na and Peng, 2014; Peng, 2011). While there is no TRPV6 channel structure in the presence of PI(4,5) P2 available, computational modeling and mutational analysis indicate that PI(4,5)P2 binds to TRPV6 at the same conserved site as to TRPV5 (Hughes et al., 2018b) (Figure S2). The co-structure of TRPV6 with CaM (Singh et al., 2018) is very similar to the two available TRPV5-CaM co-structures (Dang et al., 2019; Hughes et al., 2018b), showing binding of CaM to equivalent residues and pore block by the same residue in CaM as in TRPV5. TRPV6 is also inhibited by low pH (Peng et al., 1999), and the equivalent residue that is phosphorylated by PKA in the distal C-terminal CaM binding site in TRPV5 was shown to be phosphorylated by protein kinase C (PKC) in human TRPV6, relieving CaM inhibition (Niemeyer et al., 2001). These structural and functional similarities between TRPV5 and TRPV6 indicate that some, or all, of our data may also be relevant for understanding the mechanism of gating of TRPV6.Overall, these studies gave new structural and molecular insights into TRPV5 gating by PI(4,5)P2, pH, CaM, and PKA. Based on our data, we propose that low pH acts as a modulator of TRPV5 gating though formation of salt bridges around Lys607 and alteration of PI(4,5)P2 binding to the channel, which subsequently leads to channel closing (Figure 6A). In addition, we propose that phosphorylation of TRPV5 by PKA does not directly activate the channel, in agreement with the previously proposed model (de Groot et al., 2011), and that phosphorylated TRPV5 still requires PI(4,5)P2 to open (Figure 6B). Nevertheless, PKA phosphorylation of TRPV5 at residue Thr709 prevents CaM binding and channel inactivation, allowing more calcium to enter the cell. Our results provide detailed insight into the mechanisms of TRPV5 modulation by endogenous modulators at the molecular level, potentially aiding in the development of novel therapeutics to treat hypercalciuria, nephrolithiasis, and osteoporosis.
Figure 6.
Proposed mechanisms of TRPV5 modulation by pH and PKA
(A) The mechanism of TRPV5 closing with low pH.
(B) The mechanism of inactivation by CaM and activation by PKA.
Limitations of the study
In this study we determined the mechanism of TRPV5 modulation by lower pH. In structural studies, the pH of the whole sample is altered; thus, specific effects of the extracellular and intracellular pH cannot be evaluated, unlike in electrophysiology experiments. In addition, we were able to investigate only the effect of pH 6.0 on the TRPV5 channel, as lowering pH further, such as to pH 5.0, severely affected sample quality. Another limitation of the study is that, while we attempted to resolve the complex between TRPV5T709D and CaM, we were unable to resolve any density attributed to CaM. While this is compatible with the notion that phosphorylation reduced or eliminated binding of CaM to the channel, we are unable to make firm conclusions on the apparent affinity or the binding state of the phosphomimetic mutant of TRPV5 to CaM.
STAR★METHODS
RESOURCE AVAILABILITY
Lead contact
Further information and requests for either resources or reagents should be directed to and will be fulfilled by the lead contact, Vera Moiseenkova-Bell (vmb@pennmedicine.upenn.edu).
Materials availability
Requests for materials generated in this study should be directed to and will be fulfilled by the lead contact Vera Moiseenkova-Bell (vmb@pennmedicine.upenn.edu).
Data and code availability
All data generated in these studies are available upon request from lead contact Vera Moiseenkova-Bell (vmb@pennmedicine.upenn. edu). The cryo-EM density maps and atomic coordinates have been deposited into the Electron Microscopy Data Bank (EMDB) and Protein Data Bank (PDB), respectively. Accession codes are as follows: TRPV5pH8 (EMDB: 25716, PDB: 7T6J); TRPV5pH6 (EMDB: 25717, PDB: 7T6K); TRPV5pH5 (EMDB: 25718, PDB: 7T6L); TRPV5pH6+PIP2-state1 (EMDB: 25719, PDB: 7T6M); TRPV5pH6-state2 (EMDB: 25720, PDB: 7T6N); TRPV5pH6-state3 (EMDB: 25721, PDB: 7T6O); TRPV5PKA (EMDB: 25722); TRPV5T709D (EMDB: 25723, PDB: 7T6P); TRPV5T709D+PIP2 (EMDB: 25724, PDB: 7T6Q); and TRPV5T709D+CaM (EMDB: 25725, PDB: 7T6R). Accession numbers are listed in the key resources table. 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.
KEY RESOURCES TABLE
REAGENT or RESOURCE
SOURCE
IDENTIFIER
Antibodies
1D4 primary antibody
(Hodges et al., 1988)
N/A
Bacterial and virus strains
XL10-Gold
Agilent
Cat # 200315
BL21(DE3)
Invitrogen
Cat# 44–0048
Chemicals, peptides, and recombinant proteins
Collagenase
Sigma
Cat# C9891–1G
DpnI restriction enzyme
New England Biolabs
Cat# R0176S
SD-Leu Media
MP Biomedicals
Cat# 4811075
Glycerol
Fisher BioReagents
Cat# BP229–4
Protease inhibitor cocktail
Sigma
Cat# P8215
CnBr-activated sepharose beads
Cytiva
Cat# 17043001
1D4 peptide
Genscript
N/A
Lauryl Maltose Neopentyl Glycol (LMNG)
Anatrace
Cat# NG310
Decyl Maltose Neopentyl Glycol (DMNG)
Anatrace
Cat# NG322
TCEP
Pierce
Cat# PG82090
Soy polar lipids
Avanti
Cat # 541602C
MSP2N2
(Grinkova et al., 2010)
Addgene #29520
Bio-Beads SM-2 Absorbent media
BioRad
Cat# 152–8920
diC8-PI(4,5)P2
Cayman
Cat # 64910
diC8-PI(4,5)P2
Echelon Biosciences
Cat# P-4508
cAMP-dependent Protein Kinase (PKA), catalytic subunit
New England Biolabs
Cat# P6000S
Critical commercial assays
mMessage mMachine T7 kit
Thermo Fisher
Cat# AM1344
Quikchange XL mutagenesis kit
Agilent Genomics
Cat# 200516
Phusion Master Mix
Thermo Scientific
Cat# F-531S
Alkali-Cation Yeast Transformation Kit
MP Biomedicals
Cat# 2200200
Universal Kinase Assay kit
Biovision
Cat# K212–100
Deposited data
TRPV5pH8
This paper
EMDB: 25716PDB: 7T6J
TRPV5pH6
This paper
EMDB: 25717PDB: 7T6K
TRPV5pH5
This paper
EMDB: 25718PDB: 7T6L
TRPV5pH6+PIP2-state1
This paper
EMDB: 25719PDB: 7T6M
TRPV5pH6-state2
This paper
EMDB: 25720PDB: 7T6N
TRPV5pH6-state3
This paper
EMDB: 25721PDB: 7T6O
TRPV5PKA
This paper
EMDB: 25722
TRPV5T709D
This paper
EMDB: 25723PDB: 7T6P
TRPV5T709D+PIP2
This paper
EMDB: 25724PDB: 7T6Q
TRPV5T709D+CaM
This paper
EMDB: 25725PDB: 7T6R
TRPV5pH8+PIP2
(Hughes et al., 2018b)
EMDB: 7966PDB: 6DMU
Experimental models: Organisms/strains
Saccharomyces cerevisiae BJ5457
ATCC
208282
Xenopus laevis
Xenopus Express
Cat# LB-XL-FM
Oligonucleotides
TRPV5 T709D forward primer CCTTCGTCGAAACGACTTGGGACATTGAATCTTGG
This paper
N/A
TRPV5 T709D reverse primer CCAAGATTCAAGTGTCCCAATCTGTTTCGACGAAGG
This paper
N/A
Recombinant DNA
YepM rabbit TRPV5 plasmid
(Hughes et al., 2018a; Moiseenkova-Bell et al., 2008)
For expression of TRPV5 channel in structural studies, BJ5457 Saccharomyces cerevisiae (ATCC) was transfected with a YepM plasmid bearing rabbit TRPV5 sequence with 1D4 epitope tag and maintained at 30°C. For expression of rat calmodulin, BL21(DE3) competent Escherichia coli were transformed with a pET28b plasmid bearing the rat calmodulin sequence for inducible expression at 37°C. For expression of TRPV5 channel in electrophysiological studies, oocytes from Xenopus Laevis were microinjected with cRNA encoding for rabbit TRPV5 and maintained at 18°C. Additional details can be found in the method details.
METHOD DETAILS
Xenopus oocyte preparation and injection
Xenopus Laevis frogs (Xenopus Express) were anesthetized in Tricaine-S solution (0.5 g/L) and oocytes were extracted by the following sterile surgery protocol: Following a small (~1 cm) incision on the abdomen, the skin and the muscle were cut with scissors. Oocyte sacks were collected gently with forceps and the incision was closed with suture (Oasis PGA Absorbable Suture). The collected oocytes were digested in 0.2 mg/mL collagenase (Sigma) in OR2 solution (82.5 mM NaCl, 2 mM KCl, 1 mM MgCl2, and 5 mM HEPES, pH 7.4) rotating overnight at 18°C. The defolliculated oocytes were washed three times in OR2 and placed in OR2+ solution (OR2 solution supplemented with 1% penicillin/streptomycin and 1.8 mM CaCl2) and kept at 18°C. Healthy oocytes were hand-selected under a microscope and were microinjected with cRNA using a nanoliter injector system (World Precision Instruments). cRNA for this procedure was prepared by mMessage mMachine T7 kit (Thermo Fisher) using wildtype or mutated rabbit TRPV5 DNA as template. Point mutations were generated by Quikchange XL mutagenesis kit (Agilent Genomics).
Electrophysiology
Two electrode voltage clamp experiments were performed as described earlier (Velisetty et al., 2016). Briefly, oocytes were bathed in a solution containing 97 mM NaCl, 2 mM KCl, 1 mM MgCl2, 5 mM HEPES, pH 7.4. TRPV5 currents are blocked by Mg2+ and trace amounts of Ca2+ present in this solution. Monovalent currents were initiated by removing Mg2+ and traces of Ca2+ by switching to a solution containing 96 mM LiCl, 1 mM EGTA, and 5 mM HEPES, pH 7.4. LiCl is used as a charge carrier for monovalent currents, as it minimizes endogenous currents in non-injected oocytes in divalent free solutions. Both microelectrodes were placed in thin-wall inner filament-containing glass pipettes (World Precision Instruments) filled with 3 M KCl in 1% agarose. Currents were collected with a GeneClamp 500B amplifier (Molecular Devices). A ramp protocol from −100 to +100 mV (0.25 mV/ms) with a holding potential at 0 mV was applied. The pCLAMP software (Molecular Devices) was used for data collection and analysis.Excised inside-out patch clamp experiments were performed as described earlier (Velisetty et al., 2016). Patch clamp glass (World Precision Instruments PG10152–4) were pulled (Sutter Instruments) to get pipettes with 0.6–1.3 MΩ resistance. Pipettes were filled with the solution containing 96 mM LiCl, 1 mM EGTA, and 5 mM HEPES, pH 7.4. The oocytes were placed in bath solution containing 96 mM KCl, 5 mM EGTA, and 10 mM HEPES, pH 7.4 and devitellinized carefully by using sharp forceps. Following formation of the gigaohm seal, a ramp protocol from − 100 to +100 mV (0.25 mV/ms), immediately preceded by a 100-ms step to −100 mV was performed. diC8 PI(4,5)P2 (Cayman) was dissolved in bath solution and applied to the intracellular side of the patch membrane through a custom made perfusion system.
Cloning
The YepM TRPV5 Thr709Asp mutant vector for protein expression in S. cerevisiae was produced using a ligation-free cloning approach to introduce the point mutation with primers. (See key resources table). YepM TRPV5 WT was used as a template and run through 18 cycles of PCR with primers and Phusion master mix. Product was digested using DpnI restriction enzyme to remove the template and the result was transformed and purified in XL-Gold bacterial cells. Plasmid was sequenced to confirm incorporation of the mutation.
TRPV5 protein preparation
TRPV5 was prepared as previously described (Hughes et al., 2018b) and outlined (Fluck et al., 2021). TRPV5 with a C-terminal 1D4 epitope tag was expressed in S. cerevisiae using a YepM vector (Moiseenkova-Bell et al., 2008) transfected into BJ5457 Saccharomyces cerevisiae (ATCC) using an alkali-cation yeast transformation kit (MP Biomedicals) according to the manufacturer’s instruction. Cells were plated onto SD-Leu agar plates and allowed to grow at 30°C for 2 days. Half of the colonies were picked from one plate and inoculated into a single 75 mL starter culture containing SD-Leu media and 10% v/v glycerol. The starter culture was allowed to grow at 30°C until the OD reached the top of the log phase (OD 1.0–1.4). About 2 mL of this culture was inoculated into another 125 mL starter culture, and the cells were checked for TRPV5 expression by Western blot with the 1D4 antibody (Hodges et al., 1988). Once expression was confirmed, the cells were grown at 30°C shaking at 200 RPM in 2.5 L of media per flask until the OD reached the top of the log phase (OD 1.0–1.4). Cells were harvested by centrifugation at 3000 × g, resuspended in storage buffer (25 mM Tris-HCl, pH 8.0, 300 mM Sucrose, and 1 mM PMSF) on ice, then spun down at 3000 × g, discarding the supernatant. Cell pellets were then stored at −80°C. This expression culture was propagated with 15 mL of the previous growth at OD 1.0–1.4 for multiple days until the desired amount was grown. All subsequent steps were carried out at 4°C unless noted otherwise. Cells from approximately 60 L of growth were thawed and resuspended in 300 mL of homogenization buffer (25 mM Tris-HCl, pH 8.0, 300 mM Sucrose, 5 mM EDTA, and protease inhibitor cocktail). Resuspended cells were lysed using a M110Y microfluidizer (Microfluidics) at 100 psi. The membranes were separated from cellular debris via centrifugation at 3,000 × g for 10 min and subsequent centrifugation of the supernatant at 14,000 × g for 35 min. Then using the previous spin’s supernatant, the membranes were pelleted at 100,000 × g for 1 h. Pelleted membranes were harvested and resuspended on ice using a 15 mL tissue homogenizer (Kontes Duall with PTFE pestle) in buffer containing 25 mM Tris-HCl, pH 8.0, 300 mM Sucrose, and 1 mM PMSF then stored at −80°C. TRPV5 was solubilized from the thawed membranes in solubilization buffer (20 mM HEPES, pH 8.0, 150 mM NaCl, 2 mM TCEP, and 0.87 mM LMNG). The insoluble fraction was separated by centrifugation at 100,000 × g for 1 h. The supernatant was incubated with 1D4-antibody coupled to CnBr-activated Sepharose beads for 3 h. The beads were collected on a gravity flow column and washed with wash buffer containing 20 mM HEPES, pH 8.0, 150 mM NaCl, 2 mM TCEP, and 0.064 mM DMNG. The beads were incubated with elution buffer (20 mM HEPES, pH 8.0, 150 mM NaCl, 2 mM TCEP, and 0.064 mM DMNG, 3 mg/mL 1D4 peptide) overnight. TRPV5 was eluted once every 5 min in ten 1 mL fractions. Peak fractions were pooled and concentrated using a 100-kDa concentrator (Millipore). To reconstitute TRPV5 into nanodiscs, an equimolar quantity of MSP2N2 protein (Grinkova et al., 2010) was incubated with the detergent-solubilized TRPV5 in the presence of soy polar lipids and DMNG detergent in a reaction volume of 1 mL. The ratio in the mixture of TRPV5:MSP2N2:Lipid:DMNG was 1:1:200:500. The reaction mixture was incubated on ice for 30 min, then about 30 μL of Bio-Beads were added before rotating at 4°C for 1 h. The mixture was pipetted off of the used Bio-Beads into a new tube, then 30 μL of fresh Bio-Beads were added before rotating at 4°C overnight to complete the reaction. The reconstituted TRPV5 was run on a Superose 6 increase 10/300 GL column (GE Healthcare) equilibrated with 20 mM HEPES, pH 8.0, 150 mM NaCl, 2 mM TCEP. Fractions containing nanodisc-reconstituted TRPV5 were pooled and concentrated.
PKA phosphorylation assay and mass spectrometry
1 unit of PKAcat (New England Biolabs) was reacted with 1 ng of TRPV5 at 4°C. Activity was measured using the Biovision Universal Kinase Assay kit according to manufacturer’s instruction. The fluorescence Ex/Em = 535/587 nm was read on a plate reader and signal was measured over time. To confirm the residue being phosphorylated, 6.15 μM TRPV5 was incubated with 250 μM ATP, 12.5 mM MgCl2 and 1 unit of PKA for 16 h. Mass spectrometry was performed on the TRPV5 band from SDS-PAGE of this sample to confirm phosphorylation of residue Thr709.
CaM expression and purification
Rat CaM in a pET28b vector was expressed in BL21(DE3) Escherichia coli. Cells were transformed then grown at 37°C in Terrific Broth (TB) supplemented with 30 μg/mL kanamycin. Expression was induced at OD 0.7 with 1 mM ITPG and grown for 4 h. Cells were harvested by centrifugation at 3000 × g and stored at −80°C. Cells were thawed and resuspended in buffer containing 50 mM Tris-HCl, pH 7.5, 2 mM EDTA, and a complete EDTA-free protease inhibitor cocktail tablet (Roche). The cells were broken in a M110Y microfluidizer at 80 psi and the lysate was spun at 20000 × g for 1 h to remove cellular debris. The supernatant was collected and supplemented with 5 mM CaCl2. At room temperature, a HiTrap phenyl sepharose low sub fast flow column (Cytiva) was equilibrated in 10 CV of equilibration buffer (50 mM Tris-HCl, pH 7.5, 5 mM CaCl2, 100 mM NaCl). Lysate was applied to the column and 10 CV of wash buffer (50 mM Tris-HCl, pH 7.5, 0.1 mM CaCl2, 100 mM NaCl) was used. A high salt wash (50 mM Tris-HCl, pH 7.5, 0.1 mM CaCl2, 500 mM NaCl) was applied, then the protein was eluted using elution buffer (50 mM Tris-HCl, pH 7.5, 1 mM EGTA) into 1 mL fractions. Fractions containing protein were pooled and concentrated to 1 mL using a 10-kDa concentrator (Millipore). Protein was further purified using size exclusion chromatography on a Superdex S75 16/600 column (GE Healthcare) equilibrated with buffer containing 10 mM Tris-HCl, pH 7.5, 10 mM CaCl2, 50 mM NaCl.
Cryo-EM sample preparation and data collection
All TRPV5 samples were processed similarly (Table 1). Samples TRPV5pH6, TRPV5pH5 with lower pH were spiked with sodium acetate pH 5.0 to adjust to desired pH 5 min before freezing. Sample TRPV5PIP2+pH6 was incubated for 45 min with 400 μM diC8-PI(4,5)P2 (Echelon Biosciences) then spiked with sodium acetate pH 5.0 to adjust to pH 6.0 before sample freezing. Sample TRPV5pH6-state3 was first spiked with sodium acetate pH 5.0 to adjust to pH 6.0 then incubated with 400 μM diC8-PI(4,5)P2 for 45 min before sample freezing. Sample TRPV5PKA was made by incubating TRPV5 (0.96 mg) with PKAcat (2.6 U) in the presence of 420 μM ATP and 21 mM MgCl2 for 16 h in a total volume of 310 μL before sample freezing. Samples TRPV5pH8 and TRPV5T709D were frozen directly after protein purification. TRPV5T709D+CaM was purified by first combining purified TRPV5T709D in nanodiscs with purified rat CaM in a 1:20 molar ratio supplemented with 10 mM CaCl2 for 1 h. This mixture was then purified on a Superose 6 increase 10/300 GL column (GE Healthcare) equilibrated with 20 mM HEPES, pH 8.0, 150 mM NaCl, 2 mM TCEP. TRPV5T709D+CaM was concentrated and then frozen. Using a Vitrobot Mark IV (Thermo Scientific), 3 μL of the samples were applied onto glow-discharged 1.2/1.3 Quantifoil Holey Carbon Grids (Quantifoil Micro Tools). The sample was blotted in a chamber at 4°C and 100% humidity for 6–9 s with 0 blot force before being frozen in liquid ethane. TRPV5PKA sample was imaged on a Titan Krios 300 kV electron microscope with a Gatan K2 direct electron detector. 60 frame movies were collected with a nominal dose of 72 e−/Å2. Super-resolution images for the TRPV5PKA dataset were collected at a magnification of 130,000 and had a pixel size of 0.535 Å/pixel. All other samples were imaged on a Titan Krios G3i 300 kV electron microscope with a Gatan K3 direct electron detector. 40 frame movies were collected with a nominal dose of 42 e−/Å2. Super-resolution images for TRPV5pH8, TRPV5pH5, TRPV5pH6-state3, and TRPV5T709D+CaM datasets were collected at a magnification of 105,000 and had a pixel size of 0.415 Å/pixel. Super-resolution images for TRPV5pH6, TRPV5PIP2+pH6, TRPV5T709D, and TRPV5T709D+PIP2 datasets were collected at a magnification of 81,000 and had a pixel size of 0.53 Å/pixel.
Data processing
All datasets were processed similarly using cryoSPARC v3.2.0 (Punjani and Fleet, 2021; Punjani et al., 2017, 2020). For the TRPV5pH8 dataset, 2,350 movies were collected. Movies were patch motion corrected with an alignment resolution of 3 Å and Fourier cropped to half the resolution. The micrographs were then run through patch CTF estimation. The micrographs were then autopicked using 2D templates generated from a subset of 100 micrographs. 242,844 particles were extracted and binned by a factor of 2 with a box size of 144 pixels and sorted with 2D classification. 111,116 particles remained after 1 round of 2D classification. Ab-initio reconstruction with 1 class was used to generate the initial structure. These particles were then subjected to heterogeneous refinement with 5 classes. One class with 54,415 particles was taken and particles were extracted in an unbinned box size of 288 pixels. Particles were subjected to Non-uniform (NU) refinement in C1 symmetry (3.5 Å) and subsequently C4 symmetry (3.2 Å). Global and local CTF refinement were performed and the final NU refinement in C4 symmetry gave a 3.2 Å structure.For the TRPV5pH6 dataset, 4,679 movies were collected. Movies were patch motion corrected with an alignment resolution of 3 Å and Fourier cropped to half the resolution. The micrographs were then run through patch CTF estimation. 740 micrographs with estimated max resolutions below 4 Å were excluded from further processing. The remaining 3939 micrographs were then autopicked using 2D templates generated from a subset of 100 micrographs. 578,132 particles were extracted and binned by a factor of 2 with a box size of 128 pixels and sorted with 2D classification. 158,001 particles remained after 1 round of 2D classification. Ab-initio reconstruction with 3 classes was used to generate the initial structure. One class was taken, and 104,184 particles were extracted in a unbinned box size of 256 pixels. These particles were then subjected to heterogeneous refinement with 3 classes. One class with 57,036 particles was taken to Non-uniform (NU) refinement in C1 symmetry (3.4 Å) and subsequently C4 symmetry (3.2 Å). Global and local CTF refinement were performed and NU refinement in C4 symmetry gave a 3.0 Å structure. Some heterogeneity remained, so one more round of heterogeneous refinement in C4 symmetry yielded a class with 27,988 particles. The final model was solved by NU-refinement with defocus and global CTF refinements to 3.0 Å resolution in C4 symmetry.For the TRPV5pH5 dataset, 1,663 movies were collected. Movies were patch motion corrected with an alignment resolution of 3 Å and Fourier cropped to half the resolution. The micrographs were then run through patch CTF estimation. 213 micrographs with estimated max resolutions below 5 Å were excluded from further processing. The remaining 1,450 micrographs were then autopicked using 2D templates generated from a subset of 200 micrographs. 221,439 particles were extracted binned by a factor of 4 with a box size of 96 pixels and sorted with 2D classification. 24,329 particles remained after 2 rounds of 2D classification. Particles were reextracted in an unbinned box size of 384 pixels. Ab-initio reconstruction of these particles into 3 classes gave one class with 11,398 particles that was subjected to NU refinement in C1 symmetry (4.9 Å) followed by C4 symmetry (3.7 Å). No heterogeneity was seen and the final model with a resolution of 3.7 Å was used.For the TRPV5PIP2+pH6 dataset, 7,006 movies were collected. Movies were patch motion corrected with an alignment resolution of 3 Å and Fourier cropped to half the resolution. The micrographs were then run through patch CTF estimation. 507 micrographs with estimated max resolutions below 5 Å were excluded from further processing. The remaining 6,499 micrographs were then autopicked using 2D templates generated from a subset of 200 micrographs. 1,536,734 particles were extracted binned by a factor of 4 with a box size of 64 pixels and sorted with 2D classification. 599,459 particles remained after 1 round of 2D classification. These particles were extracted in an unbinned box size of 256 pixels. Ab-initio reconstruction with 1 class was used to generate the initial structure that was subjected to Non-uniform (NU) refinement in C1 symmetry (2.9 Å) followed by C4 symmetry (2.8 Å). Using symmetry expansion and 3D variability clustering analysis, the data was divided into 5 clusters. Two clusters represented the open and closed state of the channel. State1 had 102,424 particles and state2 had 114,598 particles after reverting to their original, non-symmetry expanded state. The other three clusters were intermediate states on the transition between state1 and state2. NU refinement in C4 symmetry yielded structures of TRPV5pH6+PIP2-state1 to 2.8 Å and TRPV5pH6-state2 to 3.0 Å. Heterogeneous refinement with 3 classes yielded 1 class for each state that went to high resolution. The best class for TRPV5pH6+PIP2-state1 contained 63,746 particles and the best class for TRPV5pH6-state2 contained 67,926 particles. For the final models, NU refinement was performed in C4 symmetry on TRPV5pH6+PIP2-state1 and TRPV5pH6-state2, yielding maps with 2.8 Å and 2.9 Å resolution, respectively.For the TRPV5pH6-state3 dataset, 11,244 movies were collected. Movies were patch motion corrected with an alignment resolution of 3 Å and Fourier cropped to half the resolution. The micrographs were then run through patch CTF estimation. 605 micrographs with estimated max resolutions below 5 Å were excluded from further processing. The remaining 10,639 micrographs were then autopicked using 2D templates generated from a subset of 200 micrographs. 1,772,051 particles were extracted binned by a factor of 4 with a box size of 96 pixels and sorted with 2D classification. 373,133 particles remained after 2 rounds of 2D classification. These particles were extracted in an unbinned box size of 384 pixels. Ab-initio reconstruction with 1 class was used to generate the initial structure that was subjected to Non-uniform (NU) refinement in C1 symmetry (2.9 Å) followed by C4 symmetry (2.6 Å). The particles were then subjected to heterogeneous refinement with 4 classes with C4 symmetry. Only one class went to high resolution with 241,089 particles. This subset of particles was subjected to NU refinement in C4 symmetry (2.5 Å). Using symmetry expansion and 3D variability analysis, it was found that not much movement existed in the channel except for some heterogeneity at the lower gate Trp583 residue. One more round of heterogeneous refinement with 4 classes yielded 3 classes with a stable density for residue Trp583 totaling 172,497 particles and 1 class with the heterogeneous density totaling 68,592 particles. The remainder of the density between these two types of classes was identical. For the final model, NU refinement was performed in C4 symmetry on the classes with stable density, yielding a map with 2.6 Å resolution.For TRPV5PKA, two datasets were used from the same grids with 7,393 and 8,732 movies for dataset 1 and 2 respectively. Movies were patch motion corrected with an alignment resolution of 3 Å and Fourier cropped to half the resolution. The micrographs were then run through patch CTF estimation. 1,053 micrographs from dataset 1 and 2,171 micrographs from dataset 2 with estimated max resolutions below 5 Å were excluded from further processing. The remaining 6,240 and 6,561 micrographs were then separately autopicked using 2D templates generated from subsets of 100 micrographs. 554,184 and 733,430 particles were extracted binned by a factor of 2 with a box size of 128 pixels and sorted with 2D classification. 123,348 and 172,798 particles remained after 1 round of 2D classification in each respective dataset. Particles were then combined and ab-initio reconstruction into 6 classes gave 1 class with 148,299 particles. Homogeneous refinement in C1 symmetry yielded a 4.5 Å structure. Extraction of these particles in an unbinned box size of 256 pixels allowed homogeneous refinement to reach 3.7 Å. However, it was apparent that this sample had some dimers of TRPV5 tetramers. To sort these particles, they were extracted in a larger box size of 416 pixels and 2D classified to efficiently remove these dimers. Homogeneous refinement reached to 3.7 Å. Particles were then taken to heterogenous refinement with 3 classes in C1 symmetry, and the best class with 69,059 particles was taken and NU refinement was performed resulting in a 3.3 Å structure in C4 symmetry. An additional round of heterogenous refinement into 3 classes in C4 symmetry gave 1 class with good density for the channel containing 43,926 particles. NU refinement in C4 symmetry gave a 3.2 Å structure. Global and local CTF refinement followed by one more NU refinement in C4 symmetry gave a 3.1 Å structure. This structure, even in C4 symmetry had extra density inside the ARD skirt of the channel. To investigate, symmetry expansion and 3D variability analysis of 5 component modes was performed. Three of the components showed variability in the ARD skirt, so particles along the axis of this variability when the extra density appears were taken by specifying the coordinate along each mode. From this, 6,016 non-symmetry expanded particles made up the small subset of particles with this density. A final local refinement centered on this density was performed in C1 symmetry, yielding a 4.2 Å structure.For the TRPV5T709D dataset, 10,011 movies were collected. Movies were patch motion corrected with an alignment resolution of 5 Å and Fourier cropped to half the resolution. The micrographs were then run through patch CTF estimation. 1,211 micrographs with estimated max resolutions below 5 Å were excluded from further processing. The remaining 8,800 micrographs were then autopicked using 2D templates generated from a subset of 100 micrographs. 2,747,656 particles were extracted binned by a factor of 2 and sorted with 2D classification. 938,370 particles remained after 1 round of 2D classification. Ab-initio reconstruction with 5 classes was performed and resulted in 1 good class to be used as the initial volume for NU refinement in C1 symmetry which gave a 4.3 Å structure. Extraction of the unbinned particles with a box size of 256 and NU refinement yielded a structure with a resolution of 3.1 Å in C1 symmetry, and 3.0 Å in C4 symmetry. Heterogeneous refinement into 5 classes gave 1 class that went to high resolution containing 419,343 particles. Final NU refinement in C4 symmetry yielded a map with 2.8 Å resolution.For the TRPV5T709D+PIP2 dataset, 10,021 movies were collected. Movies were patch motion corrected with an alignment resolution of 5 Å and Fourier cropped to half the resolution. The micrographs were then run through patch CTF estimation. 1,960 micrographs with estimated max resolutions below 5 Å were excluded from further processing. The remaining 8,061 micrographs were then autopicked using 2D templates generated from a subset of 100 micrographs. 1,306,911 particles were extracted binned by a factor of 2 with a box size of 128 pixels and sorted with 2D classification. 342,338 particles remained after 1 round of 2D classification. Ab-initio reconstruction with 5 classes was performed and resulted in 1 good class to be used as the initial volume for heterogeneous refinement in C1 symmetry which gave one good class containing 157,152 particles. Extraction of the unbinned particles with a box size of 256 and NU refinement yielded a structure with a resolution of 3.4 Å in C1 symmetry, and 3.2 Å in C4 symmetry. Global and local CTF refinement improved the resolution to 3.1 Å with NU refinement in C4 symmetry. Symmetry expansion and 3D variability analysis with 5 clusters allowed for sorting of the open state of the channel with bound PI(4,5)P2 containing 30,765 particles. Final NU refinement in C4 symmetry yielded a map with 3.4 Å resolution.For the TRPV5T709D+CaM dataset, 9,830 movies were collected. Movies were patch motion corrected with an alignment resolution of 3 Å and no Fourier cropping. The micrographs were then run through patch CTF estimation. 1,857 micrographs with estimated max resolutions below 5 Å were excluded from further processing. The remaining 7,972 micrographs were then autopicked using 2D templates generated from a subset of 200 micrographs. 961,168 particles were extracted binned by a factor of 8 with a box size of 72 pixels and sorted with 2D classification. 198,687 particles remained after 1 round of 2D classification. Ab-initio reconstruction with 1 class was performed on these binned particles. Extraction was then performed binned by a factor of 2 with a box size of 288 pixels. NU refinement was performed in C1 symmetry to a resolution of 3.3 Å. Heterogeneous refinement into 6 classes using initial models of the previous model and imported TRPV5 CaM complex from EMDB: 7967 gave 1 class that was capable of reaching high resolution. There was no indication of any additional density belonging to CaM in any of the models. NU refinement in C1 and C4 symmetry yielded 3.2 Å and 3.0 Å maps that were identical. The C4 map was taken as the final model.
Model building
The previously determined full-length rabbit TRPV5 structure (PDB: 6DMR) was used as the starting model and docked into each structure and manually fit and adjusted in COOT (Emsley and Cowtan, 2004) then refined in PHENIX using phenix.real_space_refine with C4 symmetry (Adams et al., 2002). Residues 1–28, 226–229, and 640–730 were excluded from the model because the density was not resolved. The ligand restraint file for PI(4,5)P2 was generated by the eLBOW tool within the PHENIX software package (Moriarty et al., 2009). Models were then aligned and visualized using Pymol and Chimera and ChimeraX (Goddard et al., 2018; Pettersen et al., 2004, 2021; Schrodinger, 2015). Pore radii were measured using HOLE (Smart et al., 1996). Model to map fit was assessed using EMRinger (Barad et al., 2015).
QUANTIFICATION AND STATISTICAL ANALYSIS
Cryo-EM data were processed using cryoSPARC v3.2.0 (Punjani and Fleet, 2021; Punjani et al., 2017, 2020). Cryo-EM structural statistics were analyzed by Phenix (Adams et al., 2002), Molprobity (Chen et al., 2010), EMRinger (Barad et al., 2015) and UCSF Chimera (Pettersen et al., 2004). Standard deviation is used to create error bars in Figures 1A, 4E, and 5J. Two-sample t test was performed in Figure 4E. Statistical details are explained in the figure captions.
Authors: Monique van Abel; Joost G J Hoenderop; Annemiete W C M van der Kemp; Michael M Friedlaender; Johannes P T M van Leeuwen; René J M Bindels Journal: Kidney Int Date: 2005-10 Impact factor: 10.612
Authors: Vincent B Chen; W Bryan Arendall; Jeffrey J Headd; Daniel A Keedy; Robert M Immormino; Gary J Kapral; Laura W Murray; Jane S Richardson; David C Richardson Journal: Acta Crystallogr D Biol Crystallogr Date: 2009-12-21
Authors: Taylor E T Hughes; Ruth A Pumroy; Aysenur Torun Yazici; Marina A Kasimova; Edwin C Fluck; Kevin W Huynh; Amrita Samanta; Sudheer K Molugu; Z Hong Zhou; Vincenzo Carnevale; Tibor Rohacs; Vera Y Moiseenkova-Bell Journal: Nat Commun Date: 2018-10-10 Impact factor: 17.694