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• W4377011292 abstract "Capsaicin receptor TRPV1 is a nociceptor for vanilloid molecules, such as capsaicin and resiniferatoxin (RTX). Even though cryo-EM structures of TRPV1 in complex with these molecules are available, how their binding energetically favors the open conformation is not known. Here, we report an approach to control the number of bound RTX molecules (0–4) in functional rat TRPV1. The approach allowed direct measurements of each of the intermediate open states under equilibrium conditions at both macroscopic and single-molecule levels. We found that RTX binding to each of the four subunits contributes virtually the same activation energy, which we estimated to be 1.70 to 1.86 kcal/mol and found to arise predominately from destabilizing the closed conformation. We further showed that sequential bindings of RTX increase open probability without altering single-channel conductance, confirming that there is likely a single open-pore conformation for TRPV1 activated by RTX. Capsaicin receptor TRPV1 is a nociceptor for vanilloid molecules, such as capsaicin and resiniferatoxin (RTX). Even though cryo-EM structures of TRPV1 in complex with these molecules are available, how their binding energetically favors the open conformation is not known. Here, we report an approach to control the number of bound RTX molecules (0–4) in functional rat TRPV1. The approach allowed direct measurements of each of the intermediate open states under equilibrium conditions at both macroscopic and single-molecule levels. We found that RTX binding to each of the four subunits contributes virtually the same activation energy, which we estimated to be 1.70 to 1.86 kcal/mol and found to arise predominately from destabilizing the closed conformation. We further showed that sequential bindings of RTX increase open probability without altering single-channel conductance, confirming that there is likely a single open-pore conformation for TRPV1 activated by RTX. Allosteric coupling links structurally separate function domains together through a global conformational rearrangement, which, in protein complexes, introduces cooperativity (1Monod J. Jacob F. Teleonomic mechanisms in cellular metabolism, growth, and differentiation.Cold Spring Harb. Symp. Quant. Biol. 1961; 26: 389-401Crossref PubMed Google Scholar). Cooperative activation can substantially enhance the sensitivity to a stimulus, hence bestows a significant functional advantage to multisubunit complexes. Indeed, multisubunit complex formation is a common phenomenon in biology (2Hill A.V. Paganini-Hill A. The possible effects of the aggregation of the molecules of haemoglobin on its dissociation curves.J. Physiol. 1910; 40: 4-7Google Scholar). Even though diverse models have been satisfactorily used to describe the overall cooperative behavior in protein complexes (3Monod J. Wyman J. Changeux J.P. On the nature of allosteric transitions: a plausible model.J. Mol. Biol. 1965; 12: 88-118Crossref PubMed Google Scholar, 4Koshland Jr., D.E. Némethy G. Filmer D. Comparison of experimental binding data and theoretical models in proteins containing subunits.Biochemistry. 1966; 5: 365-385Crossref PubMed Google Scholar), it remains a major challenge to directly access cooperative activation among subunits as it occurs, limiting our understanding of the underlying mechanism. The Monod–Wyman–Changeux (MWC) model proposed over half a century ago (3Monod J. Wyman J. Changeux J.P. On the nature of allosteric transitions: a plausible model.J. Mol. Biol. 1965; 12: 88-118Crossref PubMed Google Scholar) postulates that ligand binding to individual subunits promotes a concerted activation transition by an identical cooperative factor, f, which reflects energetic contribution by each subunit (Fig. 1A). However, exactly because of cooperative activation, the intermediate states (shaded in Fig. 1A) are rapidly traversed; their energetic contributions are rarely determined individually. Reflecting this challenge, a common practice has been to fit observed overall activities to a Hill function, yielding a slope factor estimate that is neither the cooperative factor nor the number of subunits but their combined contribution (5Weiss J.N. The hill equation revisited: uses and misuses.FASEB J. 1997; 11: 835-841Crossref PubMed Google Scholar). Biological ion channels are usually made of multiple functionally coupled subunits or repeating domains (6Hille B. Ion channels of Excitable Membranes.3rd Ed. Sinauer Associates Inc, Sunderland, MA2001Google Scholar, 7Zheng J. Trudeau M.C. Handbook of Ion Channels. Crc Press, Boca Raton, FL2015Crossref Google Scholar). The capsaicin (CAP) receptor TRPV1 is a representative multisubunit ion channel (8Caterina M.J. et al.The capsaicin receptor: a heat-activated ion channel in the pain pathway.Nature. 1997; 389: 816-824Crossref PubMed Scopus (7177) Google Scholar, 9Cao E. Liao M. Cheng Y. Julius D. TRPV1 structures in distinct conformations reveal activation mechanisms.Nature. 2013; 504: 113-118Crossref PubMed Scopus (754) Google Scholar) whose activation exhibits allosteric properties (10Latorre R. Brauchi S. Orta G. Zaelzer C. Vargas G. ThermoTRP channels as modular proteins with allosteric gating.Cell Calcium. 2007; 42: 427-438Crossref PubMed Scopus (167) Google Scholar, 11Matta J.A. Ahern G.P. Voltage is a partial activator of rat thermosensitive TRP channels.J. Physiol. 2007; 585: 469-482Crossref PubMed Scopus (155) Google Scholar, 12Jara-Oseguera A. Islas L.D. The role of allosteric coupling on thermal activation of thermo-TRP channels.Biophys. J. 2013; 104: 2160-2169Abstract Full Text Full Text PDF PubMed Scopus (51) Google Scholar, 13Cao X. Ma L. Yang F. Wang K. Zheng J. Divalent cations potentiate TRPV1 channel by lowering the heat activation threshold.J. Gen. Physiol. 2014; 143: 75-90Crossref PubMed Scopus (34) Google Scholar). TRPV1 is known to serve as a polymodal nociceptor; its activation by vanilloids has been investigated in both functional and structural studies (14Yang F. Zheng J. Understand spiciness: mechanism of TRPV1 channel activation by capsaicin.Protein Cell. 2017; 8: 169-177Crossref PubMed Scopus (184) Google Scholar). Vanilloid compounds occupy a binding pocket within the transmembrane region surrounded by multiple transmembrane segments and the S4–S5 linker (9Cao E. Liao M. Cheng Y. Julius D. TRPV1 structures in distinct conformations reveal activation mechanisms.Nature. 2013; 504: 113-118Crossref PubMed Scopus (754) Google Scholar). In a typical recording of the mouse TRPV1 activated by CAP, current amplitude reached over 90% maximum within hundreds of milliseconds (Fig. S1). Even though this activation process is slow among ion channels, the intermediate states were swiftly traversed and could not be individually identified and studied (15Hui K. Liu B. Qin F. Capsaicin activation of the pain receptor, VR1: multiple open states from both partial and full binding.Biophys. J. 2003; 84: 2957-2968Abstract Full Text Full Text PDF PubMed Google Scholar). Methods to slow down activation and to fix gating transition in individual subunits were developed in this study, which allowed direct assessment of the property of intermediate states and subunit coupling at equilibrium under physiological conditions. We first used resiniferatoxin (RTX), a potent TRPV1 activator (8Caterina M.J. et al.The capsaicin receptor: a heat-activated ion channel in the pain pathway.Nature. 1997; 389: 816-824Crossref PubMed Scopus (7177) Google Scholar), to replace CAP as the agonist. RTX binds in the same vanilloid-binding pocket as CAP (9Cao E. Liao M. Cheng Y. Julius D. TRPV1 structures in distinct conformations reveal activation mechanisms.Nature. 2013; 504: 113-118Crossref PubMed Scopus (754) Google Scholar) but activates the channel with an extremely slow (in minutes) time course; RTX-induced activation is also irreversible (Fig. 1B). The slow activation time course revealed a clear transition phase of increasing open probability (Po) in single-channel recordings (Fig. 1, C and F), indicating sojourns in unstable intermediate open states as suggested by the MWC model. However, these transient and stochastic events were observed under nonequilibrium conditions, hence were still difficult to analyze. From the RTX–TRPV1 complex structures (9Cao E. Liao M. Cheng Y. Julius D. TRPV1 structures in distinct conformations reveal activation mechanisms.Nature. 2013; 504: 113-118Crossref PubMed Scopus (754) Google Scholar, 16Zhang K. Julius D. Cheng Y. Structural snapshots of TRPV1 reveal mechanism of polymodal functionality.Cell. 2021; 184: 5138-5150.e12Abstract Full Text Full Text PDF PubMed Scopus (57) Google Scholar), we identified key channel residues that directly interact with a bound RTX (Fig. S2). Mutations to these residues in most cases either exerted minor gating effects or eliminated function (Fig. S3). Mutating Y512 to alanine retained the slow activation property of the wildtype channel but noticeably made RTX activation completely reversible (Fig. 1D). We have previously suggested that Y512 serves to physically block a bound vanilloid molecule from exiting the binding pocket (17Yang F. et al.Structural mechanism underlying capsaicin binding and activation of the TRPV1 ion channel.Nat. Chem. Biol. 2015; 11: 518-524Crossref PubMed Scopus (200) Google Scholar), in agreement with structural (16Zhang K. Julius D. Cheng Y. Structural snapshots of TRPV1 reveal mechanism of polymodal functionality.Cell. 2021; 184: 5138-5150.e12Abstract Full Text Full Text PDF PubMed Scopus (57) Google Scholar) and functional (18Hazan A. Basu A. Zalcman N. Matzner H. Priel A. Tyrosine residue in the TRPV1 vanilloid binding pocket regulates deactivation kinetics.J. Biol. Chem. 2016; 291: 13855-13863Abstract Full Text Full Text PDF PubMed Scopus (14) Google Scholar) observations. Molecular docking of RTX to TRPV1 structures in the closed (C1 and C2) and open (O1) states using RosettaLigand (RosettaCommons, https://www.rosettacommons.org/software/license-and-download) (19DeLuca S. Khar K. Meiler J. Fully flexible docking of medium sized ligand libraries with rosettaligand.PLoS One. 2015; 10e0132508Crossref Scopus (69) Google Scholar, 20Brown B.P. et al.Introduction to the BioChemical Library (BCL): an application-Based open-source toolkit for integrated cheminformatics and machine learning in computer-aided drug discovery.Front. Pharmacol. 2022; 13833099Crossref Scopus (3) Google Scholar) suggested reductions in Rosetta binding energy by this point mutation, in supportive of weakening of RTX binding (Fig. S4). After washing off RTX, Y512A channels could be activated by 2-APB, CAP, and RTX similar to naïve channels without detectable desensitization (under the Ca2+-free condition). Single-channel recordings confirmed that Y512A traversed the transition phase during both activation and deactivation time courses (Figs. 1, E and G and S5). Taking advantage of the reversibility property of the Y512A mutant, we studied rat TRPV1 concatemers containing different numbers of wildtype and Y511A mutant (equivalent to Y512A in mouse TRPV1) subunits (Fig. 2A). These concatemer channels were previously shown to respond to CAP in a concentration-dependent manner, with the CAP potency progressively decreased as the number of mutant protomers increased (21Hazan A. Kumar R. Matzner H. Priel A. The pain receptor TRPV1 displays agonist-dependent activation stoichiometry.Sci. Rep. 2015; 5: 1-13Crossref Scopus (37) Google Scholar). We confirmed that the spontaneous Po of each concatemer matched that of wildtype channels (Fig. 2, D and E). We observed with macroscopic (Fig. 2B) and single-channel recordings (Fig. S6) that RTX could fully activate all concatemer channels. Importantly, currents from these concatemers exhibited gradually enhanced reversibility upon washing off RTX, with channels containing all or three wildtype subunits (YYYY and YYYA, respectively) exhibiting little current deactivation, whereas those with all Y511A subunits (AAAA) deactivated completely like channels formed by unlinked monomeric mouse Y512A subunits (Fig. 1D). We further confirmed that the remaining currents were not because of an unstable patch (Fig. 2B) but instead represented steady intermediate Pos (Figs. 2C and S6). These behaviors are expected as RTX binding to the Y511A subunits in concatemers is reversible but irreversible when bound to the wildtype subunits. Therefore, after extended washing, the concatemer channels contained a fixed number (zero to four) of bound RTX molecules. The concatemers allowed us to characterize each vertical equilibrium of the MWC model (Fig. 1A) in isolation. For example, after fully activating the YYAA channels and washing off RTX from the mutant subunits, each channel contained two RTX molecules (the third column of the model). The Po value of these channels could be determined from both macroscopic currents (77 ± 3% of the maximum response; Fig. 2D) and single-channel currents (62 ± 10%; Fig. 2E) at the steady state. Po estimates for YYYY and AAAA channels matched those from channels made of wildtype and mutant monomeric subunits, respectively (Fig. 2, D and E). The Po measurements from all concatemers could be satisfactorily fitted to a general formula derived from the MWC model that describes the relationship between Po and the number of bound ligands (Fig. 2F). Transformation of the formula yields a linear function that allows easy estimation of the equilibrium constant of unliganded channels, L0, and the cooperative factor, f. Figure 2G shows results from the single-channel data. We estimated the L0 value to be 0.007, equivalent to a resting Po of 0.7%, which is consistent with experimental observations from wildtype channels (22Yang F. et al.The conformational wave in capsaicin activation of transient receptor potential vanilloid 1 ion channel.Nat. Commun. 2018; 9: 1-9PubMed Google Scholar); we estimated the f value to be 23.1, equivalent to an activation energy of 1.86 kcal/mol per RTX binding (Fig. 2G). It is noticed that a linear fit agreed with experimental measurements remarkably well, suggesting that subunit contributions to activation are indeed equal, as postulated by the MWC theorem. The position of wildtype and mutant subunits within the concatemers had no obvious influence on the activation energy, as data from concatemers YAYA and AYAY agreed reasonably well with that from YYAA (Figs. 2G and S7), an observation consistent with the new cryo-EM data showing that RTX binding has no position preference (16Zhang K. Julius D. Cheng Y. Structural snapshots of TRPV1 reveal mechanism of polymodal functionality.Cell. 2021; 184: 5138-5150.e12Abstract Full Text Full Text PDF PubMed Scopus (57) Google Scholar). Where does the 1.86 kcal/mol activation energy arise from? For the isolated transition shown in Figure 2F, the equilibrium can be altered at either the closed state or the open state, both of which could contribute to an increased equilibrium constant. To quantify energetic effects of RTX binding to the closed and open states, we analyzed single-channel dwell-time distributions of the concatemers at steady state (Fig. 3). When results from all concatemers were compared, we found that the mean dwell time of the closed state decreased exponentially with an increasing number of bound RTX, whereas the mean dwell time of the open state increased exponentially (Fig. 3B). Equilibrium constant values estimated from dwell-time measurements matched closely with those estimated from Po measurements (Fig. 3C). From linear fittings of the log-transformed dwell times (Fig. 3B), we estimated that each RTX binding destabilized the closed state by 1.17 kcal/mol, stabilized the open state by 0.53 kcal/mol, therefore producing a total of 1.70 kcal/mol of activation energy. Therefore, activation of TRPV1 by RTX originates predominately from destabilization of the closed state. Measurements from the concatemers revealed that the Po values with 0 to 4 bound RTX molecules. Using this information, we could tentatively identify the intermediate open states produced by sequential bindings of RTX during the course of activation. A typical time course of the wildtype channel single-channel activation exhibited distinct open states with low, moderate, and high Po values, corresponding to one-, two-, and three- or four-bound RTX molecules, respectively (Fig. 4A). All these open states, observed in the same single-channel recording, exhibited identical amplitudes (Fig. 4, B and C). Similar observations were made from the concatemers. This finding is consistent with the classic MWC model in which the multisubunit complex exists in two (tense and relaxed) conformations, with ligand binding progressively shifting the equilibrium toward the relaxed, a.k.a. open, conformation (3Monod J. Wyman J. Changeux J.P. On the nature of allosteric transitions: a plausible model.J. Mol. Biol. 1965; 12: 88-118Crossref PubMed Google Scholar). Our results suggest that TRPV1 activated by RTX has a single open pore conformation. Previously, we reported that structurally related natural vanilloids from chili peppers and gingers as well as synthetic CAP derivatives induce similar conformational changes of the vanilloid-binding pocket of TRPV1, even though they may bind in different poses (23Vu S. Singh V. Wulff H. Yarov-Yarovoy V. Zheng J. New capsaicin analogs as molecular rulers to define the permissive conformation of the mouse TRPV1 ligand-binding pocket.Elife. 2020; 9Crossref Scopus (7) Google Scholar, 24Yin Y. et al.Structural mechanisms underlying activation of TRPV1 channels by pungent compounds in gingers.Br. J. Pharmacol. 2019; 176: 3364-3377PubMed Google Scholar, 25Dong Y. et al.A distinct structural mechanism underlies TRPV1 activation by piperine.Biochem. Biophysical Res. Commun. 2019; 516: 365-372Crossref PubMed Scopus (26) Google Scholar). We now present data suggesting that the activated channel pore adopts the same open conformation when a varying number of vanilloid-binding pockets are occupied by RTX, consistent of pore opening being a concerted transition. Putting together, these observations support the general assumption that TRPV1 behaves as an allosteric protein (10Latorre R. Brauchi S. Orta G. Zaelzer C. Vargas G. ThermoTRP channels as modular proteins with allosteric gating.Cell Calcium. 2007; 42: 427-438Crossref PubMed Scopus (167) Google Scholar, 11Matta J.A. Ahern G.P. Voltage is a partial activator of rat thermosensitive TRP channels.J. Physiol. 2007; 585: 469-482Crossref PubMed Scopus (155) Google Scholar, 12Jara-Oseguera A. Islas L.D. The role of allosteric coupling on thermal activation of thermo-TRP channels.Biophys. J. 2013; 104: 2160-2169Abstract Full Text Full Text PDF PubMed Scopus (51) Google Scholar, 13Cao X. Ma L. Yang F. Wang K. Zheng J. Divalent cations potentiate TRPV1 channel by lowering the heat activation threshold.J. Gen. Physiol. 2014; 143: 75-90Crossref PubMed Scopus (34) Google Scholar). By fixing the number of bound RTX molecules, we were able to directly quantify equilibrium properties from otherwise unstable intermediate states at both macroscopic and single-molecule resolutions. We observed that binding of RTX to each of the four subunits yielded an equal activation energy, as predicted by the classic MWC model for homotropic cooperativity. A recent structural study of RTX–TRPV1 complexes indeed suggested nonpreference in RTX binding to the four subunits (16Zhang K. Julius D. Cheng Y. Structural snapshots of TRPV1 reveal mechanism of polymodal functionality.Cell. 2021; 184: 5138-5150.e12Abstract Full Text Full Text PDF PubMed Scopus (57) Google Scholar). The activation energy, estimated at 1.70 to 1.86 kcal/mol per liganded subunit, is comparable to that of other channels such as CNG channels (0.84 to 1.3 kcal/mol) determined indirectly from overall ligand activation behaviors (26Schirmeyer J. et al.Thermodynamic profile of mutual subunit control in a heteromeric receptor.Proc. Natl. Acad. Sci. U. S. A. 2021; 118e2100469118Crossref PubMed Scopus (4) Google Scholar, 27Gordon S.E. Zagotta W.N. Localization of regions affecting an allosteric transition in cyclic nucleotide-activated channels.Neuron. 1995; 14: 857-864Abstract Full Text PDF PubMed Scopus (142) Google Scholar). The comparable maximal Po of CAP-activated channels indicates that CAP binding is expected to produce a similar activation energy (17Yang F. et al.Structural mechanism underlying capsaicin binding and activation of the TRPV1 ion channel.Nat. Chem. Biol. 2015; 11: 518-524Crossref PubMed Scopus (200) Google Scholar). Combining the activation energies from multiple subunits contributes to an exponential increase in Po (the 1.86 × 4 = 7.44 kcal/mol activation energy shifts the closed-to-open equilibrium toward the open state by over 280,000 folds) (Fig. 4D). For TRPV1 activated by RTX, the shift in equilibrium originates mostly from destabilization of the closed state. Energetic contributions from the four subunits represent substantial activation cooperativity in TRPV1. Indeed, cooperative activation is a common phenomenon for diverse allosteric proteins. However, a general challenge for studying a cooperative process is to capture the intermediate states with either functional methods or structural methods. In the absence of direct information concerning the intermediate states, a mechanistic interpretation is often speculative. The MWC model for allosteric proteins made of identical subunits (3Monod J. Wyman J. Changeux J.P. On the nature of allosteric transitions: a plausible model.J. Mol. Biol. 1965; 12: 88-118Crossref PubMed Google Scholar) has been successfully applied to a wide variety of proteins including those made of different subunits. Nonetheless, equivalence in subunit contributions, a key feature distinguishing it from a Koshland–Némethy–Filmer–type sequential model (4Koshland Jr., D.E. Némethy G. Filmer D. Comparison of experimental binding data and theoretical models in proteins containing subunits.Biochemistry. 1966; 5: 365-385Crossref PubMed Google Scholar), remains a postulation. One key validation of the MWC theorem—measuring directly from the intermediate activation states—has been lacking, because of cooperativity among subunits that makes transitional states intrinsically unstable. Here, we designed methods locking TRPV1 in each of the intermediate activation states with varying ligand occupations, which allowed direct measurements of their thermodynamic properties under physiological conditions at equilibrium. Near-perfect equivalence in subunit contribution to allosteric coupling was confirmed. All RTX-induced open states are found to produce identical single-channel current amplitudes, suggesting that the activated pore adopts near identical conformations. Therefore, pore opening by RTX appears to be driven by a concerted conformational change. Our functional data hence suggest that structural asymmetry of the activated states occurs mainly in the vanilloid-binding pockets, consistent with the recently reported RTX–TRPV1 complex structures (16Zhang K. Julius D. Cheng Y. Structural snapshots of TRPV1 reveal mechanism of polymodal functionality.Cell. 2021; 184: 5138-5150.e12Abstract Full Text Full Text PDF PubMed Scopus (57) Google Scholar). Based on the 1.86 kcal/mol/subunit activation energy, channels with one to four bound RTX molecules are expected to exhibit a Po of 13.9%, 78.9%, 98.8%, and 99.9%, respectively. Channels with two bound RTX molecules already spend two-third of the time in the open state under physiological conditions. Only the fully RTX-bound channels were assigned an open state in cryo-EM studies (16Zhang K. Julius D. Cheng Y. Structural snapshots of TRPV1 reveal mechanism of polymodal functionality.Cell. 2021; 184: 5138-5150.e12Abstract Full Text Full Text PDF PubMed Scopus (57) Google Scholar, 28Gao Y. Cao E. Julius D. Cheng Y. TRPV1 structures in nanodiscs reveal mechanisms of ligand and lipid action.Nature. 2016; 534: 347-351Crossref PubMed Google Scholar), suggesting a shift in stability of the closed and/or open conformation under these experimental conditions, such as lower temperatures (22Yang F. et al.The conformational wave in capsaicin activation of transient receptor potential vanilloid 1 ion channel.Nat. Commun. 2018; 9: 1-9PubMed Google Scholar). Concerted pore opening has been previously proposed for other channel types including Kv channels, for which independent voltage-sensor movements in the four subunits precede channel activation (29Hoshi T. Zagotta W.N. Aldrich R.W. Biophysical and molecular mechanisms of shaker potassium channel inactivation.Science. 1990; 250: 533-538Crossref PubMed Google Scholar, 30Schoppa N.E. Sigworth F.J. Activation of shaker potassium channels. II. Kinetics of the V2 mutant channel.J. Gen. Physiol. 1998; 111: 295-311Crossref PubMed Scopus (68) Google Scholar). Very brief (microseconds) subconductance states were found to be associated with asymmetrical subunit activations by voltage, hence representing intermediate gating states (31Zheng J. Vankataramanan L. Sigworth F.J. Hidden Markov model analysis of intermediate gating steps associated with the pore gate of shaker potassium channels.J. Gen. Physiol. 2001; 118: 547-564Crossref PubMed Scopus (34) Google Scholar, 32Zheng J. Sigworth F.J. Selectivity changes during activation of mutant shaker potassium channels.J. Gen. Physiol. 1997; 110: 101-117Crossref PubMed Scopus (117) Google Scholar). It was proposed that subconductance states could arise from filtering effects on very rapid flickering events—representing likely a concerted transition—between the fully open state and the closed state, with voltage-dependent subunit activations progressively shifting the equilibrium toward the open state (31Zheng J. Vankataramanan L. Sigworth F.J. Hidden Markov model analysis of intermediate gating steps associated with the pore gate of shaker potassium channels.J. Gen. Physiol. 2001; 118: 547-564Crossref PubMed Scopus (34) Google Scholar). While TRPV1 activation by RTX exhibited similar progressive shifting toward the open state, dwell times in the closed and open states appeared to be long enough to skip the filtering effect on current amplitude. The allosteric behavior described in the present study may help correlate published high-resolution channel structures (16Zhang K. Julius D. Cheng Y. Structural snapshots of TRPV1 reveal mechanism of polymodal functionality.Cell. 2021; 184: 5138-5150.e12Abstract Full Text Full Text PDF PubMed Scopus (57) Google Scholar, 33Kwon D.H. Zhang F. Fedor J.G. Suo Y. Lee S.-Y. Vanilloid-dependent TRPV1 opening trajectory from cryoEM ensemble analysis.Nat. Commun. 2022; 13: 1-12Crossref PubMed Scopus (4) Google Scholar) with distinct functional states toward a better understanding of the activation mechanism of TRPV1 and other ion channels. The mouse TRPV1 wildtype and Y512A mutant complementary DNAs (cDNAs) were constructed into pEYFP-N3 vector, where the C terminus of the channel was fused with the cDNA encoding enhanced YFP to help identify transfected cells during patch-clamp experiments, as previously described (34Cheng W. Yang F. Takanishi C.L. Zheng J. Thermosensitive TRPV channel subunits coassemble into heteromeric channels with intermediate conductance and gating properties.J. Gen. Physiol. 2007; 129: 191-207Crossref PubMed Scopus (154) Google Scholar). The Y512A point mutation was introduced using a mutagenesis kit (Agilent Technologies) and confirmed by sequencing. Concatemers YYYY, YYYA, YYAA, YAYA, AYAY, YAAA, and AAAA, representing tandem tetrameric cDNA constructs of rat TRPV1 wildtype (Y) and Y511A (A, equivalent to Y512A in mouse channel), were generous gifts from Dr Avi Priel and have been previously described (21Hazan A. Kumar R. Matzner H. Priel A. The pain receptor TRPV1 displays agonist-dependent activation stoichiometry.Sci. Rep. 2015; 5: 1-13Crossref Scopus (37) Google Scholar). Human embryonic kidney 293T cells (purchased from American Type Culture Collection) were cultured in a Dulbecco's modified Eagle's medium (Hyclone or Gibco) supplemented with 10% (v/v) fetal bovine serum (Corning or GenClone), 1% (v/v) penicillin/streptomycin (Fisher Scientific), and 1% (v/v) MEM Nonessential Amino Acids Solution (Hyclone) at 37 °C with 5% CO2. Cells were cultured onto 25 mm glass coverslips (Fisher Scientific) in 35 mm chambers 18 to 24 h before transfection. Transient transfection was conducted 18 to 24 h before patch-clamp recording using Lipofectamine 2000 (Invitrogen) according to the manufacturer’s instructions. For macroscopic recordings, 1 μg plasmid was used for transfection for each chamber; for single-channel recordings, 0.1 μg plasmid was used. For concatemer channels without a fluorescent tag, the YFP plasmid was cotransfected (0.2 μg) for each chamber. Patch-clamp recordings were done using an EPC10 amplifier controlled with PatchMaster software (HEKA) in configurations as specified in the Results section. All single-channel recordings were from inside–out patches; most of the macroscopic recordings were also from inside–out patches; whole-cell recordings were collected to increase the macroscopic current level, especially for mutants such as E571A mTRPV1, E571AT551A mTRPV1, E571AI574A mTRPV1, because of their poor expression levels. Patch pipettes were pulled from borosilicate glass (A-M systems or Sutter Instrument) using Sutter Instrument P-97 micropipette puller and fire-polished to 2 to 6 MΩ for macroscopic recordings or 8 to 15 MΩ for single-channel recordings. For whole-cell recordings, serial resistance was compensated by 60%. Current signal was filtered at 2.3 to 2.9 kHz and sampled at 10.0 to 12.5 kHz. All recordings were conducted at room temperature. Ruthenium red (10 μM) and/or Ba2+ (100 mM) was used to block channel current for checking leak. A holding potential of 0 mV was used, from which a 300 ms step to +80 mV followed by a 300 ms step to −80 mV was applied. The durations of the +80 mV and −80 mV steps were between 300 ms and 2 s, adjusted according to experimental needs. The voltage was held at +80 mV for long continuous single-channel recordings. Standard symmetrical bath and pipette solutions contained (millimolar) 140 NaCl, 0.2 EGTA, 10 glucose (optional), and 15 Hepes (pH 7.2 to 7.4). Solution switching was achieved with a Rapid Solution Changer (RSC-200; Biological Science Instruments). 2-APB was dissolved in dimethyl sulfoxide to make 1 M stock solution and diluted to working concentrations using the bath solution; CAP was dissolved in dimethyl sulfoxide to make 50 mM stock solution and diluted to working concentrations using the bath solution; RTX was dissolved in ethanol to make 1 mM stock solution and diluted to working concentrations using the bath solution. To obtain single-channel recordings with a fixed number of RTX molecules in the concatemers (YYYY, YYYA, YYAA, YAYA, AYAY, YAAA, and AAAA), 3 mM 2-APB was first perfused onto an inside–out patch to confirm the number of channels in the patch. A 100 nM RTX solution was then perfused onto the patch until Po reached the stable maximal level to make sure all the binding sites were saturated by RTX. The bath solution was perfused to wash off the reversibly bound RTX until Po reached a stable level. This Po level was regarded as the Po value when the channel was bound with 0 to 4 RTX molecules according to different concatemers (4 for YYYY; 3 for YYYA; 2 for YYAA, YAYA, and AYAY; 1 for YAAA; and 0 for AAAA). To evaluate RTX binding to TRPV1, we used the cryo-EM structures of TRPV1 solved in complex with RTX in the open (O1 state, Protein Data Bank [PDB]: 7L2L) and closed (C1 state, PDB: 7L2N; C2 state, PDB: 7MZ5) states to model RTX interaction. RosettaLigand (RosettaCommons) (19DeLuca S. Khar K. Meiler J. Fully flexible docking of medium sized ligand libraries with rosettaligand.PLoS One. 2015; 10e0132508Crossref Scopus (69) Google Scholar) was used to dock RTX to wildtype and Y511A mutant structures for each state. We generated 2000 RTX conformers for the docking process using BioChemical Library (20Brown B.P. et al.Introduction to the BioChemical Library (BCL): an application-Based open-source toolkit for integrated cheminformatics and machine learning in computer-aided drug discovery.Front. Pharmacol. 2022; 13833099Crossref Scopus (3) Google Scholar). The detail of the docking algorithm has been described elsewhere (19DeLuca S. Khar K. Meiler J. Fully flexible docking of medium sized ligand libraries with rosettaligand.PLoS One. 2015; 10e0132508Crossref Scopus (69) Google Scholar) (see Appendix for Rosetta docking scripts and command lines). A total of 10,000 docking models were generated, and the top 1000 models ranked by total_score were selected for analysis. Binding energy is represented by the interface_delta_X term reported in Rosetta energy unit. All-atom RMSD was used to compare the generated docking RTX models to the RTX-binding conformations captured in the cryo-EM structures. Patch-clamp data were exported and analyzed using Igor Pro 8 (WaveMetrics). Statistical analyses were done using GraphPad Prism 8 (GraphPad Software, Inc). Macroscopic current amplitude was calculated by measuring the difference between ligand-activated current and the baseline current level before any ligand perfusion. A digital filter at 0.4 kHz was used for analyzing single-channel amplitude and Po. Single-channel recordings were analyzed using all-point histograms and fitted to a double-Gaussian function; single-channel amplitude was measured as the difference between the two gaussian peaks; single-channel Po was measured by calculating the portion of open events over the total time recorded. Only true single-channel recordings (n = 22) or two-channel recordings (n = 2) were used. Po of two-channel recordings was calculated using the equation Po=t1+2t22T, where t1 is the total time of one-channel opening events observed, t2 is the total time of two-channel opening events observed, T is the total recording time. Spontaneous Po was measured using the equation Po=tNT, where t is the total time of the open events observed at room temperature in bath solution, N is the total number of channels in the patch, which was determined by calculating the amplitude ratio between maximum current and the average single-channel current, T is the total recording time. There were no overlapping open events in these recordings. To analyze single-channel dwell times, the recorded single-channel traces were processed using the single-channel search function in Clampfit (Molecular Devices) to generate dwell-time histograms (35Sigworth F. Sine S. Data transformations for improved display and fitting of single-channel dwell time histograms.Biophys. J. 1987; 52: 1047-1054Abstract Full Text PDF PubMed Google Scholar). Model fitting was conducted in Igor, using the global fitting procedure when needed. Statistical analysis was done using GraphPad Prism 8. Student’s t test was used when comparing between two groups. For comparisons within the same recordings, paired t test was used. For comparison between multiple groups, one-way ANOVA with Tukey’s multiple comparisons test was used. All data generated or analyzed during this study are included in the article and supporting information. This article contains supporting information. The authors declare that they have no conflicts of interest with the contents of this article. We are grateful to Avi Priel for sharing the concatemer constructs. We thank members of the Zheng and Yarov-Yarovoy laboratories for assistance and discussion. S. L. and J. Z. conceptualization; S. L. and P. T. N. methodology; S. L. and J. Z. writing–original draft; S. L., P. T. N., S. V., V. Y.-Y., and J. Z. writing–review & editing; J. Z. and V. Y.-Y. supervision; J. Z. and V. Y.-Y. funding acquisition. National Institutes of Health grant R01NS103954 (to J. Z. and V. Y.-Y.). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health." @default.
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