Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

A small-molecule activation mechanism that directly opens the KCNQ2 channel

Abstract

Pharmacological activation of voltage-gated ion channels by ligands serves as the basis for therapy and mainly involves a classic gating mechanism that augments the native voltage-dependent open probability. Through structure-based virtual screening, we identified a new scaffold compound, Ebio1, serving as a potent and subtype-selective activator for the voltage-gated potassium channel KCNQ2 and featuring a new activation mechanism. Single-channel patch-clamp, cryogenic-electron microscopy and molecular dynamic simulations, along with chemical derivatives, reveal that Ebio1 engages the KCNQ2 activation by generating an extended channel gate with a larger conductance at the saturating voltage (+50 mV). This mechanism is different from the previously observed activation mechanism of ligands on voltage-gated ion channels. Ebio1 caused S6 helices from residues S303 and F305 to perform a twist-to-open movement, which was sufficient to open the KCNQ2 gate. Overall, our findings provide mechanistic insights into the activation of KCNQ2 channel by Ebio1 and lend support for KCNQ-related drug development.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Structure-based ligand discovery of KCNQ2 activator.
Fig. 2: Ebio1’s selectivity and its effects on the channel opening probability and single-channel conductance of KCNQ2.
Fig. 3: Cryo-EM structure of the human KCNQ2–Ebio1 complex.
Fig. 4: Structural basis for pore gate opening of KCNQ2 by Ebio1.
Fig. 5: Ligand-dependent dynamic rearrangement of the pore region of the KCNQ2 channel.
Fig. 6: Ebio1-S1 and RTG-S1 regulated pore gate opening by affecting S6 helix motion.

Similar content being viewed by others

Data availability

The 3D cryo-EM density maps of Ebio1- and Ebio-S1-bound KCNQ2 structures have been deposited in the Electron Microscopy Data Bank under the accession numbers EMD-35487 and EMD-38041, respectively. Atomic coordinates for the atomic models of Ebio1- and Ebio-S1-bound KCNQ2 structures have been deposited in the PDB under the accession numbers 8IJK and 8X43, respectively. All stable reagents generated in this study are available from the lead contact without restriction. Plasmids and strains are available from the authors upon request. Source data are provided with this paper.

References

  1. Alsaloum, M., Higerd, G. P., Effraim, P. R. & Waxman, S. G. Status of peripheral sodium channel blockers for non-addictive pain treatment. Nat. Rev. Neurol. 16, 689–705 (2020).

    Article  CAS  PubMed  Google Scholar 

  2. Santos, R. et al. A comprehensive map of molecular drug targets. Nat. Rev. Drug Discov. 16, 19–34 (2017).

    Article  CAS  PubMed  Google Scholar 

  3. Schewe, M. et al. A pharmacological master key mechanism that unlocks the selectivity filter gate in K+ channels. Science 363, 875–880 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Wulff, H. & Zhorov, B. S. K+ Channel modulators for the treatment of neurological disorders and autoimmune diseases. Chem. Rev. 108, 1744–1773 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Wulff, H., Castle, N. A. & Pardo, L. A. Voltage-gated potassium channels as therapeutic targets. Nat. Rev. Drug Discov. 8, 982–1001 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Wulff, H., Christophersen, P., Colussi, P., Chandy, K. G. & Yarov-Yarovoy, V. Antibodies and venom peptides: new modalities for ion channels. Nat. Rev. Drug Discov. 18, 339–357 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Peters, H. C., Hu, H., Pongs, O., Storm, J. F. & Isbrandt, D. Conditional transgenic suppression of M channels in mouse brain reveals functions in neuronal excitability, resonance and behavior. Nat. Neurosci. 8, 51–60 (2005).

    Article  CAS  PubMed  Google Scholar 

  8. Wang, H. S. et al. KCNQ2 and KCNQ3 potassium channel subunits: molecular correlates of the M-channel. Science 282, 1890–1893 (1998).

    Article  CAS  PubMed  Google Scholar 

  9. Soh, H., Springer, K., Doci, K., Balsbaugh, J. L. & Tzingounis, A. V. KCNQ2 and KCNQ5 form heteromeric channels independent of KCNQ3. Proc. Natl Acad. Sci. USA 119, e2117640119 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Kuba, H., Yamada, R., Ishiguro, G. & Adachi, R. Redistribution of Kv1 and Kv7 enhances neuronal excitability during structural axon initial segment plasticity. Nat. Commun. 6, 8815 (2015).

    Article  CAS  PubMed  Google Scholar 

  11. Schwarz, J. R. et al. KCNQ channels mediate IKs, a slow K+ current regulating excitability in the rat node of Ranvier. J. Physiol. 573, 17–34 (2006).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Orhan, G. et al. Dominant-negative effects of KCNQ2 mutations are associated with epileptic encephalopathy. Ann. Neurol. 75, 382–394 (2014).

    Article  CAS  PubMed  Google Scholar 

  13. Vanoye, C. G. et al. High-throughput evaluation of epilepsy-associated KCNQ2 variants reveals functional and pharmacological heterogeneity. Jci. Insight 7, e156314 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  14. Miceli, F. et al. Genotype-phenotype correlations in neonatal epilepsies caused by mutations in the voltage sensor of KV7.2 potassium channel subunits. Proc. Natl Acad. Sci. USA 110, 4386–4391 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Perucca, P. & Perucca, E. Identifying mutations in epilepsy genes: Impact on treatment selection. Epilepsy Res. 152, 18–30 (2019).

    Article  CAS  PubMed  Google Scholar 

  16. Lopez, J. P. et al. Ketamine exerts its sustained antidepressant effects via cell-type-specific regulation of Kcnq2. Neuron 110, 2283–2298 (2022).

    Article  CAS  PubMed  Google Scholar 

  17. Li, S. B. et al. Hyperexcitable arousal circuits drive sleep instability during aging. Science 375, eabh3021 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Tsuboi, D. et al. Dopamine drives neuronal excitability via KCNQ channel phosphorylation for reward behavior. Cell Rep. 40, 111309 (2022).

    Article  CAS  PubMed  Google Scholar 

  19. Huang, X. et al. Human amyotrophic lateral sclerosis excitability phenotype screen: target discovery and validation. Cell Rep. 35, 109224 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Maljevic, S., Wuttke, T. V. & Lerche, H. Nervous system KV7 disorders: breakdown of a subthreshold brake. J. Physiol. 586, 1791–1801 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Peretz, A. et al. Targeting the voltage sensor of Kv7.2 voltage-gated K+ channels with a new gating-modifier. Proc. Natl Acad. Sci. USA 107, 15637–15642 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Borgini, M., Mondal, P., Liu, R. & Wipf, P. Chemical modulation of Kv7 potassium channels. RSC Med. Chem. 12, 483–537 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Zhang, Q. et al. Dynamic PIP2 interactions with voltage sensor elements contribute to KCNQ2 channel gating. Proc. Natl Acad. Sci. USA 110, 20093–20098 (2013).

  24. Li, X. et al. Molecular basis for ligand activation of the human KCNQ2 channel. Cell Res. 31, 52–61 (2021).

  25. Abbott, G. W. KCNQs: ligand- and voltage-gated potassium channels. Front. Physiol. 11, 583 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  26. Zheng, Y. et al. Structural insights into the lipid and ligand regulation of a human neuronal KCNQ channel. Neuron 110, 237–247 (2022).

    Article  CAS  PubMed  Google Scholar 

  27. Li, T. et al. Structural basis for the modulation of human KCNQ4 by small-molecule drugs. Mol. Cell 81, 25–37 (2021).

    Article  CAS  PubMed  Google Scholar 

  28. Stafstrom, C. E., Grippon, S. & Kirkpatrick, P. Ezogabine (retigabine). Nat. Rev. Drug Discov. 10, 729–730 (2011).

    Article  CAS  PubMed  Google Scholar 

  29. Catterall, W. A., Lenaeus, M. J. & El-Din, T. M. G. Structure and pharmacology of voltage-gated sodium and calcium channels. Annu. Rev. Pharmacol. Toxicol. 60, 133–154 (2020).

    Article  CAS  PubMed  Google Scholar 

  30. Diaz-Franulic, I., Poblete, H., Miño-Galaz, G., González, C. & Latorre, R. Allosterism and structure in thermally activated transient receptor potential channels. Annu. Rev. Biophys. 45, 371–398 (2016).

    Article  CAS  PubMed  Google Scholar 

  31. Zaczek, R. et al. Two new potent neurotransmitter release enhancers, 10, 10-bis(4-pyridinylmethyl)-9(10H)-anthracenone and 10, 10-bis(2-fluoro-4-pyridinylmethyl)-9 (10H)-anthracenone: comparison to linopirdine. J. Pharmacol. Exp. Ther. 285, 724–730 (1998).

    CAS  PubMed  Google Scholar 

  32. Tatulian, L. & Brown, D. A. Effect of the KCNQ potassium channel opener retigabine on single KCNQ2/3 channels expressed in CHO cells. J. Physiol. 549, 57–63 (2003).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Taylor, K. C. et al. Structure and physiological function of the human KCNQ1 channel voltage sensor intermediate state. eLife 9, e53901 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  34. Sun, J. & MacKinnon, R. Structural basis of human KCNQ1 modulation and gating. Cell 180, 340–347 (2020).

    Article  CAS  PubMed  Google Scholar 

  35. Jiang, Y. et al. X-ray structure of a voltage-dependent K+ channel. Nature 423, 33–41 (2003).

  36. Swartz, K. J. Sensing voltage across lipid membranes. Nature 456, 891–897 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Catterall, W. A. Structure and function of voltage-gated ion channels. Annu. Rev. Biochem. 64, 493–531 (1995).

    Article  CAS  PubMed  Google Scholar 

  38. Hou, P. et al. Two-stage electro-mechanical coupling of a KV channel in voltage-dependent activation. Nat. Commun. 11, 676 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Kalstrup, T. & Blunck, R. S4-S5 linker movement during activation and inactivation in voltage-gated K+ channels. Proc. Natl Acad. Sci. USA 115, E6751–E6759 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Jensen, M. Ø. et al. Mechanism of voltage gating in potassium channels. Science 336, 229–233 (2012).

    Article  CAS  PubMed  Google Scholar 

  41. Xiong, Q., Sun, H. & Li, M. Zinc pyrithione-mediated activation of voltage-gated KCNQ potassium channels rescues epileptogenic mutants. Nat. Chem. Biol. 3, 287–296 (2007).

    Article  CAS  PubMed  Google Scholar 

  42. Rodriguez-Menchaca, A. A. et al. PIP2 controls voltage-sensor movement and pore opening of Kv channels through the S4-S5 linker. Proc. Natl Acad. Sci. USA 109, E2399–E2408 (2012).

  43. Naranjo, D., Moldenhauer, H., Pincuntureo, M. & Díaz-Franulic, I. Pore size matters for potassium channel conductance. J. Gen. Physiol. 148, 277–291 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Lansky, S. et al. A pentameric TRPV3 channel with a dilated pore. Nature 621, 206–214 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Henderson, S. W., Nourmohammadi, S., Ramesh, S. A. & Yool, A. J. Aquaporin ion conductance properties defined by membrane environment, protein structure, and cell physiology. Biophys. Rev. 14, 181–198 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Perszyk, R. E. et al. The negative allosteric modulator EU1794-4 reduces single-channel conductance and Ca2+ permeability of GluN1/GluN2A N-methyl-d-aspartate receptors. Mol. Pharmacol. 99, 399–411 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Carnevale, V. & Klein, M. L. Small molecule modulation of voltage gated sodium channels. Curr. Opin. Struct. Biol. 43, 156–162 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Canul-Sánchez, J. A. et al. Different agonists induce distinct single-channel conductance states in TRPV1 channels. J. Gen. Physiol. 150, 1735–1746 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  49. Sansom, M. S. Ion-channel gating. Twist to open. Curr. Biol. 5, 373–375 (1995).

    Article  CAS  PubMed  Google Scholar 

  50. Taly, A., Hénin, J., Changeux, J. P. & Cecchini, M. Allosteric regulation of pentameric ligand-gated ion channels: an emerging mechanistic perspective. Channels 8, 350–360 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  51. Valadié, H., Lacapcre, J. J., Sanejouand, Y. H. & Etchebest, C. Dynamical properties of the MscL of Escherichia coli: a normal mode analysis. J. Mol. Biol. 332, 657–674 (2003).

    Article  PubMed  Google Scholar 

  52. Yang, H. Y. et al. Inherent dynamics of the acid-sensing ion channel 1 correlates with the gating mechanism. PLoS Biol. 7, e1000151 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  53. Clarke, O. B. et al. Domain reorientation and rotation of an intracellular assembly regulate conduction in Kir potassium channels. Cell 141, 1018–1029 (2010).

    Article  CAS  PubMed  Google Scholar 

  54. Bavro, V. N. et al. Structure of a KirBac potassium channel with an open bundle crossing indicates a mechanism of channel gating. Nat. Struct. Mol. Biol. 19, 158–163 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Powers, A. S. et al. Structural basis of efficacy-driven ligand selectivity at GPCRs. Nat. Chem. Biol. 19, 805–814 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Hollingsworth, S. A. et al. Cryptic pocket formation underlies allosteric modulator selectivity at muscarinic GPCRs. Nat. Commun. 10, 3289 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  57. Huang, X. S. et al. Structural basis for high-voltage activation and subtype-specific inhibition of human NaV1.8. Proc. Natl Acad. Sci. USA 119, e2208211119 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Liao, P. et al. Selective activation of TWIK-related acid-sensitive K+ 3 subunit–containing channels is analgesic in rodent models. Sci. Transl. Med. 11, eaaw8434 (2019).

    Article  CAS  PubMed  Google Scholar 

  59. Zhang, Q. et al. Inhibiting Hv1 channel in peripheral sensory neurons attenuates chronic inflammatory pain and opioid side effects. Cell Res. 32, 461–476 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Zheng, S. Q. et al. MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy. Nat. Methods 14, 331–332 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Zhang, K. GCTF: Real-time CTF determination and correction. J. Struct. Biol. 193, 1–12 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  62. Zivanov, J. et al. New tools for automated high-resolution cryo-EM structure determination in RELION-3. eLife 7, e42166 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  63. Emsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. Features and development of Coot. Acta Crystallogr. D. Biol. Crystallogr. 66, 486–501 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. Adams, P. D. et al. PHENIX: a comprehensive Python-based system for macromolecular structure solution. Acta Crystallogr. D. Biol. Crystallogr. 66, 213–221 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  65. Chen, V. B. et al. MolProbity: all-atom structure validation for macromolecular crystallography. Acta Crystallogr. D. Biol. Crystallogr. 66, 12–21 (2010).

    Article  CAS  PubMed  Google Scholar 

  66. Smart, O. S., Neduvelil, J. G., Wang, X., Wallace, B. A. & Sansom, M. S. HOLE: a program for the analysis of the pore dimensions of ion channel structural models. J. Mol. Graph. 14, 354–360 (1996).

    Article  CAS  PubMed  Google Scholar 

  67. Sehnal, D. et al. MOLE 2.0: advanced approach for analysis of biomacromolecular channels. J. Cheminform. 5, 39 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  68. Pettersen, E. F. et al. UCSF ChimeraX: structure visualization for researchers, educators, and developers. Protein Sci. 30, 70–82 (2021).

    Article  CAS  PubMed  Google Scholar 

  69. Webb, B. & Sali, A. Comparative protein structure modeling using MODELLER. Curr. Protoc. Bioinformatics 54, 5.6.1–5.6.37 (2016).

  70. Jo, S., Kim, T., Iyer, V. G. & Im, W. CHARMM-GUI: a web-based graphical user interface for CHARMM. J. Comput. Chem. 29, 1859–1865 (2008).

    Article  CAS  PubMed  Google Scholar 

  71. Berendsen, H. J. C., van der Spoel, D. & van Drunen, R. GROMACS: a message-passing parallel molecular dynamics implementation. Comput. Phys. Commun. 91, 43–56 (1995).

    Article  CAS  Google Scholar 

  72. Vanommeslaeghe, K. & MacKerell, A. D. Automation of the CHARMM general force field (CGenFF) I: bond perception and atom typing. J. Chem. Inf. Model. 52, 3144–3154 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

This work is funded by grants from the National Key Research and Development Program of China (grant nos. 2022YFE0205600 to H.Y. and P.H.; 2018YFA0508100 to J.G. and Q.Z. and 2020YFA0908501 to J.G.), the National Natural Science Foundation of China (grant nos. 82273857 to Q.Z. and 32171221 to P.H.), the Joint Funding of the Macau Science and Technology Development Fund and the Ministry of Science and Technology of the People’s Republic of China (grant no. 0006/2021/AMJ to P.H.), the Innovative Research Team of High-level Local Universities in Shanghai (grant no. SHSMU-ZDCX20211201 to H.Y.) and the East China Normal University Medicine and Health Joint Fund (grant no. 2022JKXYD07001 to H.Y. and Z.C.). J.G. is supported by the MOE Frontier Science Center for Brain Science & Brain-Machine Integration, Zhejiang University. Single-particle cryo-EM data were collected at Center of Cryo-Electron Microscopy at Zhejiang University. We are also grateful for the support of the East China Normal University Multifunctional Platform for Innovation (001 and 011).

Author information

Authors and Affiliations

Authors

Contributions

H.Y., Q.Z. and J.G. conceived the project, designed the research and supervised the study. S.Z. performed virtual screening. K.W., Y.L. and J.H. performed whole-cell electrophysiology tests. K.W. and J.L. performed single-channel data acquisition. S.Z. and K.W. performed electrophysiological experiment analysis. D.M., Z.Y. and X.L. performed sample preparation, collected the cryo-EM structural data and solved the structures. S.Z., Q.Z. and J.S. performed and analyzed MD simulations. Q.Z., L.M. and Y.Y. assisted in compounds preparation and synthesis. Z.C. and P.H. provided intellectual expertise and shared key methodologies. S.Z., D.M. and Q.Z. prepared the draft of the manuscript. H.Y., Q.Z. and J.G. wrote the manuscript. All authors read and commented on the manuscript.

Corresponding authors

Correspondence to Jiangtao Guo, Qiansen Zhang or Huaiyu Yang.

Ethics declarations

Competing interests

S.Z., K.W., Y.L., L.M., Y.Y., J.S., J.G., Q.Z. and H.Y. are inventors of patent applications that cover the potential usage of Ebio1 and its derivatives. The remaining authors declare no competing interests.

Peer review

Peer review information

Nature Chemical Biology thanks Huaizong Shen and the other, anonymous reviewer(s) for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Extended data

Extended Data Fig. 1 Virtual screening and biophysical characterization of small-molecules on KCNQ2 channel.

a, Chemical structures of initial 15 docking compounds, each with a different scaffold. b, Histogram showing the outward current potentiation effects of 15 candidates on the KCNQ2 channel. The effects of 10 μM candidates are checked at +50 mV. The dash line indicates a potentiation level of 1 (that is no effect). c, The effects of 10 μM candidates on the ΔV1/2 of KCNQ2 channel. NA means the results are not available. n = 3, 3, 2, 2, 2, 3, 3, 3, 3, 2, 3, 6, 3, 5 and 5 (b), n = 2, 2, 2, 4, 2, 2, 2, 3, 6, 2, 3 and 2 (c) biological replicates. Data are presented as the means ± s.e.m.

Source data

Extended Data Fig. 2 The selectivity of Ebio1 on several ion channels.

a, Summary of the effects of Ebio1 on TREK1, BK, hERG, CaV2.1, and NaV1.1 channels. Statistical analysis: one-way ANOVA with Dunnett’s test. b-f, The representative current traces of TREK1 (b), BK (c), hERG (d), CaV2.1 (e), and NaV1.1 (f) channels in the absence and the presence 10 μM Ebio1 are shown. n = 3, 3, 3, 2, 2 and 2 biological replicates (a). Data are presented as the means ± s.e.m.

Source data

Extended Data Fig. 3 Effects of Ebio1 on the activity of single KCNQ2/3, KCNQ4 and KCNQ5 channels.

a, Representative single-channel recordings from inside-out patches of KCNQ2/3, KCNQ4 and KCNQ5 at +50 mV in the absence and presence of 10 μM Ebio1 (left panel). The corresponding all-point amplitude histograms for the sweeps were fitted by Gaussian distributions (solid line in red) (right panel). b, Histogram showing the PO of KCNQ2/3, KCNQ4 and KCNQ5 at +50 mV in the absence and presence of 10 μM Ebio1. Statistical analysis: two-tailed t-test. n.s., not significant. c, Single-channel conductance of KCNQ2/3, KCNQ4 and KCNQ5 was fitted from two peak values in (a). Statistical analysis: two-tailed t-test. n.s., not significant. n = 4, 4, 3, 3, 3 and 3 (b), n = 4, 4, 3, 3, 3 and 3 (c) biological replicates. Data are presented as the means ± s.e.m.

Source data

Extended Data Fig. 4 Structure determination of human KCNQ2-Ebio1 complex.

a, Size-exclusion chromatography of KCNQ2-CaM on Superose 6 and SDS-PAGE analysis of the final sample. n = 3 independent experiments. b, Representative cryo-EM micrograph of KCNQ2-Ebio1. n = 3 independent experiments. c, Representative 2D classes. d, Flowchart of image processing for KCNQ2-Ebio1 particles. e, The density map of KCNQ2-Ebio1 is colored by local resolution. The local resolution is estimated with RELION 3.1 and generated in Chimera. f, The Gold-standard FSC curves of the final 3D reconstruction of KCNQ2-Ebio1, and the FSC curve for cross-validation between the map and the model of KCNQ2-Ebio1. g, EM densities for Ebio1 in the KCNQ2 channel. Gray meshes represent EM densities for Ebio1 and its surrounding residues. h, The weak and isolated densities are observed between VSD and PD in the map of KCNQ2-Ebio1 complex. The EM densities are contoured at the level of 0.01 in UCSF ChimeraX.

Source data

Extended Data Fig. 5 Structural changes induced by Ebio1.

a, The VSD structure of the Ebio1-bound KCNQ2. Only the S2-S4 helices are shown for clarity. The side chain of gating charges in S4 and the gating charge transfer center residue are shown in sticks and spheres. b, Comparison of Ebio1-bound VSD of KCNQ2 with open-state VSD of KCNQ2 (PDB code: 7CR0)24 and intermediate-state VSD of KCNQ1 (PDB code: 6MIE)33, which colored cyan, gray and purple, respectively. The side chain of gating charges in S4 and the gating charge transfer center residue are shown in sticks. c, Conformational change of the KCNQ2 channel complex in one KCNQ2-CaM subunit after Ebio1 bound. The conserved ‘EKR’ motif is colored red, which undergo structural rearrangement from a loop to a helix. S6 and HA helices of KCNQ2 are colored cyan. CaM is shown as helix and surface with its N-lobe in purple and C-lobe in pink. The rotational motion of CaM after Ebio1 bound is represented by a cartoon with a dash arrow.

Extended Data Fig. 6 MD simulations of the Ebio1- and RTG-bound KCNQ2 channel.

a, Simulation system II, RTG/KCNQ2 complex from the RTG-bound KCNQ2 cryo-EM structure. b, RMSD of RTG molecules against simulation time in the three independent repeats MD simulations of simulation system II. c, The number of hydrogen bonds formed between the -NH2 group of RTG and residue S303 (upper) or F305 (bottom) in the three independent repeats MD simulations of simulation system II. d, Representation of the channel pore diameter along the three independent repeats of RTG/KCNQ2 MD simulations of simulation system II. e, Simulation system III, Ebio1/KCNQ2 complex from the Ebio1-bound KCNQ2 cryo-EM structure. f, RMSD of Ebio1 molecules against simulation time in the three independent repeats MD simulations of simulation system III. g,h, Representation of the distance between residue S303 and F305 from adjacent subunit (g) or channel pore diameter (h) along the three independent repeats of Ebio1/KCNQ2 MD simulations of simulation system III.

Source data

Extended Data Fig. 7 The hydrogen bond restrained pore gate opening by affecting S6 helix motion.

a, Representative macroscopic current traces of KCNQ2S303A channel before (left traces) and after (right traces) application of 10 μM RTG or Ebio1. The holding potential was −80 mV. The KCNQ2S303A current was elicited by a series of voltage steps from −90 mV to +60 mV in 10 mV increments. b, Histogram showing the effects of 10 μM RTG or Ebio1 on the outward current amplitude of KCNQ2S303A at +50 mV. Statistical analysis: two-tailed t-test. c, Representative single-channel recordings from inside-out patches of KCNQ2S303A channel at +50 mV in the absence and presence of 10 μM RTG or Ebio1 (left panel). The corresponding all-point amplitude histograms for the sweeps were fitted by Gaussian distributions (solid line in red) (right panel). d, Histogram showing the PO of KCNQ2S303A at +50 mV in the absence and presence of 10 μM RTG or Ebio1. Statistical analysis: two-tailed t-test. n.s., not significant. e, Single-channel conductance of KCNQ2S303A was fitted from two peak values in (c). Statistical analysis: two-tailed t-test. n.s., not significant. n = 6, 7, 3 and 3 (b), n = 7, 7, 3 and 3 (d), n = 7, 7, 3 and 3 (e) biological replicates. Data are presented as the means ± s.e.m.

Source data

Extended Data Fig. 8 Small molecules RTG-S1 induce the dynamic rearrangement of the pore region of KCNQ2 channel.

a, RMSD of RTG-S1 molecules against simulation time in the three independent repeats MD simulations. b, Ensemble plot of the RTG-S1 molecule in the binding pocket of KCNQ2 channel during the MD simulations. c,d, Representation of the distance between residues S303 and F305 from the adjacent subunit (c) or channel pore diameter (d) along the three independent repeats of RTG-S1-dependent MD simulations. e, Typical KCNQ2 channel pore conformations of the two states (initial and final) from the RTG-S1-dependent trajectories. f, Superimposition of the gate region of the RTG-S1-dependent final state and KCNQ2-RTG (left) or KCNQ2-Ebio1 (right) cryo-EM structures.

Source data

Extended Data Fig. 9 Structure determination of human KCNQ2-Ebio1-S1 complex.

a, Size-exclusion chromatography of KCNQ2-CaM on Superose 6 and SDS-PAGE analysis of the final sample. n = 3 independent experiments. b, Representative cryo-EM micrograph of KCNQ2-Ebio1-S1. n = 3 independent experiments. c, Representative 2D classes. d, Flowchart of image processing for KCNQ2-Ebio1-S1 particles. e, The density map of KCNQ2-Ebio1-S1 is colored by local resolution. The local resolution is estimated with RELION 3.0 and generated in Chimera. f, EM densities for Ebio1-S1 in the KCNQ2 channel. Gray meshes represent EM densities for Ebio1-S1 and its surrounding residues. g, The Gold-standard FSC curves of the final 3D reconstruction of KCNQ2-Ebio1-S1, and the FSC curve for cross-validation between the map and the model of KCNQ2-Ebio1-S1. h, The weak and isolated densities are observed between VSD and PD in the map of KCNQ2-Ebio1-S1 complex. The EM densities are contoured at the level of 0.01 in UCSF ChimeraX.

Source data

Extended Data Fig. 10 Cryo-EM structures of human KCNQ2-Ebio1-S1 complex.

a, Structure model of the KCNQ2-Ebio1-S1 complex viewed parallel to the membrane (left) and top-down to the membrane (right) from the extracellular space. b, Comparison of Ebio1-S1-bound VSD of KCNQ2 with Ebio1-bound VSD of KCNQ2, which colored yellow and blue, respectively. The side chain of gating charges in S4 and the gating charge transfer center residue are shown in sticks.

Supplementary information

Supplementary Information

Supplementary Tables 1 and 2 and Figs. 1–12.

Reporting Summary

Supplementary Data 1

Statistical source data for Supplementary Figs. 1–3, 5, 8–10 and 12.

Source data

Source Data Fig. 1

Statistical source data.

Source Data Fig. 2

Statistical source data.

Source Data Fig. 3

Statistical source data.

Source Data Fig. 4

Statistical source data.

Source Data Fig. 5

Statistical source data.

Source Data Fig. 6

Statistical source data

Source Data Extended .Fig. 1

Statistical source data.

Source Data Extended Data Fig. 2

Statistical source data.

Source Data Extended Data Fig. 3

Statistical source data.

Source Data Extended Data Fig. 4

Statistical source data.

Source Data Extended Data Fig. 4

Unprocessed gel.

Source Data Extended Data Fig. 6

Statistical source data.

Source Data Extended Data Fig. 7

Statistical source data.

Source Data Extended Data Fig. 8

Statistical source data.

Source Data Extended Data Fig. 9

Statistical source data.

Source Data Extended Data Fig. 9

Unprocessed gel.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, S., Ma, D., Wang, K. et al. A small-molecule activation mechanism that directly opens the KCNQ2 channel. Nat Chem Biol (2024). https://doi.org/10.1038/s41589-023-01515-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1038/s41589-023-01515-y

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing