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Substrate binding and inhibition mechanism of norepinephrine transporter

Abstract

Norepinephrine transporter (NET; encoded by SLC6A2) reuptakes the majority of the released noradrenaline back to the presynaptic terminals, thereby affecting the synaptic noradrenaline level1. Genetic mutations and dysregulation of NET are associated with a spectrum of neurological conditions in humans, making NET an important therapeutic target1. However, the structure and mechanism of NET remain unclear. Here we provide cryogenic electron microscopy structures of the human NET (hNET) in three functional states—the apo state, and in states bound to the substrate meta-iodobenzylguanidine (MIBG) or the orthosteric inhibitor radafaxine. These structures were captured in an inward-facing conformation, with a tightly sealed extracellular gate and an open intracellular gate. The substrate MIBG binds at the centre of hNET. Radafaxine also occupies the substrate-binding site and might block the structural transition of hNET for inhibition. These structures provide insights into the mechanism of substrate recognition and orthosteric inhibition of hNET.

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Fig. 1: The structure of hNET in the apo state.
Fig. 2: Apo hNET adopts the inward-facing conformation.
Fig. 3: Substrate recognition by hNET.
Fig. 4: Radafaxine occupies the substrate-binding site of hNET.

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Data availability

Cryo-EM maps of hNET in the apo state, the MIBG-bound state and the radafaxine-bound state have been deposited in the Electron Microscopy Data Bank under accession codes EMD-38210, EMD-38209 and EMD-38208, respectively. Atomic models of hNET in the apo state, the MIBG-bound state and the radafaxine-bound state have been deposited at the PDB under accession codes 8XB4, 8XB3 and 8XB2, respectively. The entries 7Y7W, 4XP1, 6M2R, 8GNK, 7SK2, 6ZBV, 6DZZ, 7Y7Y and 6M0F used in this study were downloaded from the PDB. MD simulations (initial coordinate and simulation input files and coordinate files of the final output) are available at Figshare60 (https://doi.org/10.6084/m9.figshare.26043313.v1). Source data are provided with this paper.

References

  1. Bönisch, H. & Brüss, M. The norepinephrine transporter in physiology and disease. Handb. Exp. Pharmacol. 175, 485–524 (2006).

    Article  Google Scholar 

  2. O’Donnell, J., Zeppenfeld, D., McConnell, E., Pena, S. & Nedergaard, M. Norepinephrine: a neuromodulator that boosts the function of multiple cell types to optimize CNS performance. Neurochem. Res. 37, 2496–2512 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  3. Pacholczyk, T., Blakely, R. D. & Amara, S. G. Expression cloning of a cocaine- and antidepressant-sensitive human noradrenaline transporter. Nature 350, 350–354 (1991).

    Article  CAS  PubMed  ADS  Google Scholar 

  4. Zhou, J. Norepinephrine transporter inhibitors and their therapeutic potential. Drugs Future 29, 1235–1244 (2004).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. DuBois, S. G. et al. Evaluation of norepinephrine transporter expression and metaiodobenzylguanidine avidity in neuroblastoma: a report from the Children’s Oncology Group. Int. J. Mol. Imaging 2012, 250834 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  6. Pandit-Taskar, N. & Modak, S. Norepinephrine transporter as a target for imaging and therapy. J. Nucl. Med. 58, 39S–53S (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Chen, X., Kudo, T., Lapa, C., Buck, A. & Higuchi, T. Recent advances in radiotracers targeting norepinephrine transporter: structural development and radiolabeling improvements. J. Neural Transm. 127, 851–873 (2020).

    Article  PubMed  Google Scholar 

  8. Kristensen, A. S. et al. SLC6 neurotransmitter transporters: structure, function, and regulation. Pharmacol. Rev. 63, 585–640 (2011).

    Article  CAS  PubMed  Google Scholar 

  9. Cheng, M. H. & Bahar, I. Monoamine transporters: structure, intrinsic dynamics and allosteric regulation. Nat. Struct. Mol. Biol. 26, 545–556 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Vallabhajosula, S. & Nikolopoulou, A. Radioiodinated metaiodobenzylguanidine (MIBG): radiochemistry, biology, and pharmacology. Semin. Nucl. Med. 41, 324–333 (2011).

    Article  PubMed  Google Scholar 

  11. Taggart, D., Dubois, S. & Matthay, K. K. Radiolabeled metaiodobenzylguanidine for imaging and therapy of neuroblastoma. Q. J. Nucl. Med. Mol. Imaging 52, 403–418 (2008).

    CAS  PubMed  Google Scholar 

  12. Heal, D. J., Gosden, J. & Smith, S. L. New drugs to treat ADHD: opportunities and challenges in research and development. Curr. Top. Behav. Neurosci. 57, 79–126 (2022).

    Article  PubMed  Google Scholar 

  13. Dhillon, S., Yang, L. P. H. & Curran, M. P. Spotlight on bupropion in major depressive disorder. CNS Drugs 22, 613–617 (2008).

    Article  PubMed  Google Scholar 

  14. Stahl, S. M. et al. A review of the neuropharmacology of bupropion, a dual norepinephrine and dopamine reuptake inhibitor. J. Clin. Psychiatr. 6, 159–166 (2004).

    Google Scholar 

  15. Lukas, R. J. et al. Synthesis and characterization of in vitro and in vivo profiles of hydroxybupropion analogues: aids to smoking cessation. J. Med. Chem. 53, 4731–4748 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Yamashita, A., Singh, S. K., Kawate, T., Jin, Y. & Gouaux, E. Crystal structure of a bacterial homologue of Na+/Cl-dependent neurotransmitter transporters. Nature 437, 215–223 (2005).

    Article  CAS  PubMed  ADS  Google Scholar 

  17. Penmatsa, A., Wang, K. H. & Gouaux, E. X-ray structure of dopamine transporter elucidates antidepressant mechanism. Nature 503, 85–90 (2013).

    Article  CAS  PubMed  PubMed Central  ADS  Google Scholar 

  18. Kazmier, K. et al. Conformational dynamics of ligand-dependent alternating access in LeuT. Nat. Struct. Mol. Biol. 21, 472–479 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Pidathala, S., Mallela, A. K., Joseph, D. & Penmatsa, A. Structural basis of norepinephrine recognition and transport inhibition in neurotransmitter transporters. Nat. Commun. 12, 2199 (2021).

    Article  CAS  PubMed  PubMed Central  ADS  Google Scholar 

  20. Sørensen, L. et al. Interaction of antidepressants with the serotonin and norepinephrine transporters: mutational studies of the S1 substrate binding pocket. J. Biol. Chem. 287, 43694–43707 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  21. Schlessinger, A. et al. Structure-based discovery of prescription drugs that interact with the norepinephrine transporter, NET. Proc. Natl Acad. Sci. USA 108, 15810–15815 (2011).

    Article  CAS  PubMed  PubMed Central  ADS  Google Scholar 

  22. Jha, P., Ragnarsson, L. & Lewis, R. J. Structure-function of the high affinity substrate binding site (S1) of human norepinephrine transporter. Front. Pharmacol. 11, 217 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Kawate, T. & Gouaux, E. Fluorescence-detection size-exclusion chromatography for precrystallization screening of integral membrane proteins. Structure 14, 673–681 (2006).

    Article  CAS  PubMed  Google Scholar 

  24. Coleman, J. A., Green, E. M. & Gouaux, E. X-ray structures and mechanism of the human serotonin transporter. Nature 532, 334–339 (2016).

    Article  CAS  PubMed  PubMed Central  ADS  Google Scholar 

  25. Bauman, P. A. & Blakely, R. D. Determinants within the C-terminus of the human norepinephrine transporter dictate transporter trafficking, stability, and activity. Arch. Biochem. Biophys. 404, 80–91 (2002).

    Article  CAS  PubMed  Google Scholar 

  26. Distelmaier, F., Wiedemann, P., Brüss, M. & Bönisch, H. Functional importance of the C-terminus of the human norepinephrine transporter. J. Neurochem. 91, 537–546 (2004).

    Article  CAS  PubMed  Google Scholar 

  27. Sorkina, T. et al. RNA interference screen reveals an essential role of Nedd4-2 in dopamine transporter ubiquitination and endocytosis. J. Neurosci. 26, 8195–8205 (2006).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Wang, K. H., Penmatsa, A. & Gouaux, E. Neurotransmitter and psychostimulant recognition by the dopamine transporter. Nature 521, 322–327 (2015).

    Article  CAS  PubMed  PubMed Central  ADS  Google Scholar 

  29. Fujii, Y. et al. PA tag: a versatile protein tagging system using a super high affinity antibody against a dodecapeptide derived from human podoplanin. Protein Expression Purif. 95, 240–247 (2014).

    Article  CAS  Google Scholar 

  30. Mason, J. N. et al. Novel fluorescence-based approaches for the study of biogenic amine transporter localization, activity, and regulation. J. Neurosci. Methods 143, 3–25 (2005).

    Article  CAS  PubMed  Google Scholar 

  31. Haunsø, A. & Buchanan, D. Pharmacological characterization of a fluorescent uptake assay for the noradrenaline transporter. J. Biomol. Screen. 12, 378–384 (2007).

    Article  PubMed  Google Scholar 

  32. Arimori, T. et al. Fv-clasp: an artificially designed small antibody fragment with improved production compatibility, stability, and crystallizability. Structure 25, 1611–1622 (2017).

    Article  CAS  PubMed  Google Scholar 

  33. Smart, O. S., Neduvelil, J. G., Wang, X., Wallace, B. A. & Sansom, M. S. P. 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 

  34. Kantcheva, A. K. et al. Chloride binding site of neurotransmitter sodium symporters. Proc. Natl Acad. Sci. USA 110, 8489–8494 (2013).

    Article  CAS  PubMed  PubMed Central  ADS  Google Scholar 

  35. Zhang, Y. W. et al. Chloride-dependent conformational changes in the GlyT1 glycine transporter. Proc. Natl Acad. Sci. USA 118, e2017431118 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Zomot, E. et al. Mechanism of chloride interaction with neurotransmitter:sodium symporters. Nature 449, 726–730 (2007).

    Article  CAS  PubMed  ADS  Google Scholar 

  37. Nayak, S. R. et al. Cryo-EM structure of GABA transporter 1 reveals substrate recognition and transport mechanism. Nat. Struct. Mol. Biol. 30, 1023–1032 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Wang, C.-I. A., Shaikh, N. H., Ramu, S. & Lewis, R. J. A second extracellular site is required for norepinephrine transport by the human norepinephrine transporter. Mol. Pharmacol. 82, 898–909 (2012).

    Article  CAS  PubMed  Google Scholar 

  39. Zhu, A. et al. Molecular basis for substrate recognition and transport of human GABA transporter GAT1. Nat. Struct. Mol. Biol. 30, 1012–1022 (2023).

    Article  CAS  PubMed  Google Scholar 

  40. Gotfryd, K. et al. X-ray structure of LeuT in an inward-facing occluded conformation reveals mechanism of substrate release. Nat. Commun. 11, 1005 (2020).

    Article  CAS  PubMed  PubMed Central  ADS  Google Scholar 

  41. Napolitano, A., Manini, P. & d’Ischia, M. Oxidation chemistry of catecholamines and neuronal degeneration: an update. Curr. Med. Chem. 18, 1832–1845 (2011).

    Article  CAS  PubMed  Google Scholar 

  42. Jerry, V. G., John, E. K., Susan, G. A., Beth, J. H. & Fredrick, E. T. Evaluation of metaiodobenzylguanidine uptake by the norepinephrine, dopamine and serotonin transporters. J. Nucl. Med. 34, 1140–1146 (1993).

    Google Scholar 

  43. Tutov, A. et al. Rationalizing the binding modes of PET radiotracers targeting the norepinephrine transporter. Pharmaceutics 15, 690 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Barker, E. L., Moore, K. R., Rakhshan, F. & Blakely, R. D. Transmembrane domain I contributes to the permeation pathway for serotonin and ions in the serotonin transporter. J. Neurosci. 19, 4705–4717 (1999).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Coleman, J. A. et al. Serotonin transporter-ibogaine complexes illuminate mechanisms of inhibition and transport. Nature 569, 141–145 (2019).

    Article  CAS  PubMed  PubMed Central  ADS  Google Scholar 

  46. Motiwala, Z. et al. Structural basis of GABA reuptake inhibition. Nature 606, 820–826 (2022).

    Article  CAS  PubMed  PubMed Central  ADS  Google Scholar 

  47. Shahsavar, A. et al. Structural insights into the inhibition of glycine reuptake. Nature 591, 677–681 (2021).

    Article  CAS  PubMed  ADS  Google Scholar 

  48. Li, N. et al. Structure of a pancreatic ATP-sensitive potassium channel. Cell 168, 101–110 (2017).

    Article  CAS  PubMed  Google Scholar 

  49. Yunlu, K. & Lei, C. Structure and mechanism of NALCN-FAM155AUNC79-UNC80 channel complex. Nat. Commun. 13, 2639 (2022).

    Article  Google Scholar 

  50. 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 

  51. Zhang, K. Gctf: real-time CTF determination and correction. J. Struct. Biol. 193, 1–12 (2016).

    Article  CAS  PubMed  PubMed Central  ADS  Google Scholar 

  52. Punjani, A., Rubinstein, J. L., Fleet, D. J. & Brubaker, M. A. cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. Nat. Methods 14, 290–296 (2017).

    Article  CAS  PubMed  Google Scholar 

  53. Chen, S. et al. High-resolution noise substitution to measure overfitting and validate resolution in 3D structure determination by single particle electron cryomicroscopy. Ultramicroscopy 135, 24–35 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Jumper, J. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021).

    Article  CAS  PubMed  PubMed Central  ADS  Google Scholar 

  55. Goddard, T. D. et al. UCSF ChimeraX: meeting modern challenges in visualization and analysis. Protein Sci. 27, 14–25 (2018).

    Article  CAS  PubMed  Google Scholar 

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

    Article  CAS  PubMed  PubMed Central  ADS  Google Scholar 

  57. Afonine, P. V. et al. Real-space refinement in PHENIX for cryo-EM and crystallography. Acta Crystallogr. D 74, 531–544 (2018).

    Article  CAS  ADS  Google Scholar 

  58. Hongtao, Z. & Amedeo, C. Discovery of ZAP70 inhibitors by high-throughput docking into a conformation of its kinase domain generated by molecular dynamics. Bioorg. Med. Chem. Lett. 23, 5721–5726 (2013).

    Article  Google Scholar 

  59. Tai-Sung, L. et al. Alchemical binding free energy calculations in AMBER20: advances and best practices for drug discovery. J. Chem. Inf. Model. 60, 5595–5623 (2020).

    Article  Google Scholar 

  60. Ji, W. et al. Data for ‘Substrate binding and inhibition mechanism of norepinephrine transporter’. figshare https://doi.org/10.6084/m9.figshare.26043313.v1 (2024).

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Acknowledgements

We thank all of the members of the J.-X.W. laboratory for help; L. Liu for the help with small molecules; X. Wang for the help with docking; the members of the P. Li and B. Cui laboratories for the AKTA purification platform; the members of the R. Wang laboratory for experimental equipment; the staff at the Biological Analysis Center at Institute of Materia Medica of Chinese Academy of Medical Sciences for the centrifuge experimental platform; and the staff at Shuimu BioSciences for cryo-EM facility access and technical support during image acquisition. Cryo-EM data collection was supported by the Electron microscopy laboratory, Cryo-EM platform of Peking University and Shuimu BioSciences with the assistance of X. Li, Z. Guo, C. Qin, X. Pei, X. Hui and G. Wang. Part of the structural computation was also performed on the Computing Platform of the Center for Life Science and High-performance Computing Platform of Peking University. The work is supported by grants from National Natural Science Foundation of China (32371266 to J.-X.W.) and the non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences (no. 2022-RC350-01 to J.-X.W.).

Author information

Authors and Affiliations

Authors

Contributions

J.-X.W. initiated the project. A.M., W.J. and Y.Z. screened the expression constructs. W.J. and Y.Q. purified proteins. W.J. prepared the cryo-EM sample and screened the cryo-EM sample. W.J., A.M., K.L. and J.-X.W. collected the cryo-EM data. J.-X.W. processed the cryo-EM data. J.-X.W. and K.L. built and refined the atomic model. W.J., K.L., J.L. and Y.Q. performed the uptake assay and surface labelling. X.D., J.S. and L.L. performed the computational analysis on radafaxine binding. All of the authors contributed to the manuscript preparation.

Corresponding author

Correspondence to Jing-Xiang Wu.

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Competing interests

X.D., J.S. and L.L. are employees of Beijing Jingtai Technology. The other authors declare no competing interests.

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Nature thanks Gary Rudnick and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Extended data figures and tables

Extended Data Fig. 1 Design and purification of hNETcryo-EM.

a. The construct schematic with PA tag insertion in red triangle, amino acid substitutions (marked above), and GFP-MBP tags (dashed boxes). Predicted glycosylated residues (N192, N198) in EL2-PA tag are in cyan hexagons. b. Structures of norepinephrine (NE), 4-(4-(dimethylamino) styryl)-N-methylpyridinium iodide (ASP+), meta-iodobenzylguanidine (MIBG), and inhibitor radafaxine. NE and substrate analogues are in orange rectangle. c. Dose-dependent inhibition of radafaxine on hNETwt. Data are mean ± s.d., n = 4. d. The FSEC profile of hNETwt, hNETdN53, hNETdC18, and hNETcryo-EM. The detection channel is emission (Em): 488 nm, excitation (Ex): 520 nm. e. SDS-PAGE gel shows properties (glycosylation) of hNETwt, hNETdN53, hNETdC18, and hNETcryo-EM. For gel source data, see Supplementary Fig. 1. f. Interaction between hNETcryo-EM and NZ1 Fv-clasp detected using Native-PAGE. For gel source data, see Supplementary Fig. 1. g. The FSEC profile of hNETcryo-EM alone and in complex with NZ1 Fv-clasp. The detection channel is Em: 488 nm, Ex: 520 nm. h. Normalized ASP+ uptake activity and inhibitory activity by MIBG (200 μM) and radafaxine (200 μM) to hNETwt, hNETcryo-EM, and hNETcryo-EM–NZ1 Fv-clasp complex with empty vector as negative control. Data are mean ± s.d., n-6. i. Un-normalized uptake assay with inhibitors of h. Data are mean ± s.d., n = 6. j. NET surface labelling to hNETwt and hNETcryo-EM. Data are mean ± s.d. (Empty vector n = 7; hNETwt n = 8; hNETcryo-EM n = 10). k. NZ1 Fv-clasp surface labelling to hNETcryo-EM alone and hNETcryo-EM–NZ1 Fv-clasp complex. Data are mean ± s.d. (Empty vector: -NZ1 Fv-clasp n = 7 and +Fv-clasp n = 8; hNETcryo-EM: -NZ1 Fv-clasp n = 8 and +Fv-clasp n = 10). l. SEC profile of hNETcryo-EM -NZ1 Fv-clasp complex in presence of MIBG, and SDS-PAGE gel of corresponding SEC fractions. For gel source data, see Supplementary Fig. 1.

Source Data

Extended Data Fig. 2 Cryo-EM image analysis of hNETcryo-EM in the apo state.

a. Representative raw micrograph (4,014 in total) of hNETcryo-EM in the apo state. b. Representative 2D class averages of hNETcryo-EM. c. The cryo-EM data processing workflow for particle picking, 2D classification, and 3D classification to reach a final three-dimensional reconstruction of hNETcryo-EM at 2.9 Å. d. Angular distribution of all particle images that contributed to the final 3D map, calculated in cryoSPARC. e. Fourier shell correlation (FSC), indicating the resolution at the 0.143 threshold of unmasked, loosen, tighten, corrected curves of the map. f. Local resolution distribution of the map of hNETcryo-EM.

Extended Data Fig. 3 Local density of hNET in the apo state.

a. Representative densities of transmembrane helices and C-terminal helices of hNET (54–617). The density of each helix is shown with different map levels: TM5 and CH1-CH3 are contoured at 0.6 level (4.73 σ) and others at 1.2 level (9.47σ). b. Representative densities of EL2, shown at 0.6 level (4.73 σ). Density is observed for the disulfide bond formed between C176 and C185 at the EL2, shown at 1.2 level (9.47σ). Sticks coloured in yellow show the disulfide bond interactions. c. The local electron density of hNET at the substrate binding site. d. Electron density of hNET and GAT1 (PDB: 7Y7W) at the Na2 binding site. e. Un-normalized uptake activities of hNET mutations related to the EC-gate in Fig. 2d. Data are mean ± s.d. (Empty vector n = 25 and others are consistent with Fig. 2d). f. NET surface labelling of hNET mutations related to the EC-gate in Fig. 2d. Data are mean ± s.d. (Empty vector n = 17; hNETwt n = 18; W80A and R81D n = 9; R81A, R81Q, and T313A n = 7; Q314A, D473A, D473R, Y152A, and F317A n = 6). g. Un-normalized uptake activities of hNET mutations related to the Na2 binding site in Fig. 2f. Data are mean ± s.d. (n are consistent with Fig. 2f). h. NET surface labelling of hNET mutations related to the Na2 binding site in Fig. 2f (n = 6).

Source Data

Extended Data Fig. 4 Sequence alignment.

The sequences of (Homo sapiens) hNETcryo-EM, (Homo sapiens) hNETwt, (Drosophila melanogaster) dmDATmfc (PDB ID: 4XP1), (Drosophila melanogaster) dmDATwt, (Homo sapiens) hDAT, (Homo sapiens) hSERT, and (Homo sapiens) hGAT were aligned using Jalview. The cylinder represents the helix, and the colour of the cylinder is the same with that in Fig. 1c. The dotted line shows the unmodelled residues. The red box is the deleted or replaced EL2 residues. The blue boxes are N/C-terminal truncations in the available structures of MATs. The inserted PA tag is displayed in green. The glycosylation sites of NET (N182, N194, N198) and DAT (N181, N188, N205) are marked with hexagons.

Extended Data Fig. 5 Cryo-EM image analysis of hNETcryo-EM in complex with MIBG.

a. Representative raw micrograph (4,113 in total) of hNETcryo-EM binding with MIBG. b. 2D class averages of hNETcryo-EM binding with MIBG. c. The cryo-EM data processing workflow for particle picking, 2D classification, and 3D classification to reach a final three-dimensional reconstruction of hNETcryo-EM binding with MIBG at 2.8 Å. d. Angular distribution of all particle images that contributed to the final 3D map, calculated in cryoSPARC. e. Local resolution distribution of the map of hNETcryo-EM binding with MIBG. f. Fourier shell correlation (FSC), indicating the resolution at the 0.143 threshold of unmasked, loosen, tighten, corrected curves of the map. g. Alignment of hNET between states of apo (cyan) and MIBG-binding (light blue), RMSD = 0.963 Å.

Extended Data Fig. 6 Comparison of substrate-bound structures.

a. Superposition of structures of DA-bound dmDAT (light orange, PDB ID: 4XP1) and MIBG-bound hNET (light blue). A zoom-in view of the substrate-binding site is displayed on the right. b. Superposition of structures of NE-bound dmDATNET (light cyan, PDB ID: 6M2R) and MIBG-bound hNET (light blue). A zoom-in view of the substrate-binding site is displayed on the right. c. Superposition of structures of GABA-bound (rat) rGAT1 (grey, PDB ID: 8GNK) and MIBG-bound hNET (light blue). A zoom-in view of the substrate-binding site is displayed on the right. A bean shaped architecture is shown in rGAT1 with GABA fitting into subsite A and subsite C’.

Extended Data Fig. 7 Cryo-EM image analysis of hNETcryo-EM binding with radafaxine.

a. Representative raw micrograph (4,043 in total) of hNETcryo-EM binding with radafaxine. b. Representative 2D class averages of hNETcryo-EM binding with radafaxine. c. The cryo-EM data processing workflow for particle picking, 2D classification, and 3D classification to reach a final three-dimensional reconstruction of hNETcryo-EM binding with radafaxine at 3.0 Å. d. Angular distribution of all particle images that contributed to the final 3D map, calculated in cryoSPARC. e. Fourier shell correlation (FSC), indicating the resolution at the 0.143 threshold of unmasked, loosen, tighten, corrected curves of the map. f. Local resolution distribution of the map of hNETcryo-EM binding with radafaxine. g. Comparing the structures of hNET between states of apo (light cyan) and radafaxine-binding (light pink), RMSD = 1.138 Å. h. RMSD change of the radafaxine pose with NET protein in 100 ns MD simulation (n = 3). For description of the simulation system, see Supplementary Tables 1 and 2.

Extended Data Fig. 8 Comparison of radafaxine-bound hNET structure with inhibitor-bound inward-facing structures of other transporters.

a. Un-normalized uptake assay of hNET mutations related to the radafaxine and MIBG-binding sites in Fig. 4f. Data are mean ± s.d. (Empty vector group n = 25 and others are consistent with Fig. 4f). b. Surface labelling of mutations related to the radafaxine and MIBG-binding sites in Fig. 4f. Data are mean ± s.d. (Empty vector n = 17; hNETwt n = 18; S318A, D75A, G149Y, Y152A, F317A, and F323Y n = 6; V148A and F323A n = 7; M424A n = 8). c. Superposition of ibogaine-bound hSERT (orange, PDB ID: 6DZZ) and radafaxine-bound hNET (light pink). The substrate-binding site enclosed by TMs 1, 3, 6, 8 is for structural alignment (RMSD 1.842 Å). Ibogaine and its interacting residues appear as orange sticks, while Radafaxine in magenta. The inhibitor-binding site is zoomed on the right. d. Superposition of tiagabine-bound hGAT1 (yellow, PDB ID: 7SK2) and radafaxine-bound hNET (light pink). The substrate-binding site enclosed by TMs 1, 3, 6, 8 is for structural alignment (RMSD 1.818 Å). Tiagabine and its interacting residues are coloured yellow, while hydrogen-bonds as grey dashed lines. Radafaxine appears in magenta, with the inhibitor-binding site zoomed on the right. e. Superposition of cmpd1-bound hGlyT1 (pale green, PDB ID: 6ZBV) and radafaxine-bound hNET (light pink). The substrate-binding site enclosed by TMs 1, 3, 6, 8 is for structural alignment (RMSD 1.323 Å). Cmpd1 and its interacting residues appear as green sticks, while hydrogen-bonds in grey dashed lines. Radafaxine appears in magenta, with inhibitor-binding site zoomed on the right.

Source Data

Extended Data Fig. 9 Comparison of hNET structure with the structures of other transporters.

a. Structural comparisons of the substrate binding site between the GABA-occluded hGAT1 (lime, PDB ID: 7Y7W) and radafaxine-bound hNET (light pink). The substrate binding site enclosed by TMs 1, 3, 6, 8 is for structural alignment (RMSD 1.776 Å). b. Close-up of the radafaxine-binding site in a. The inward movement of TM1a toward radafaxine in hGAT1 (inward-facing conformation) appears an arrow. The movement of Y60 at TM1a of the occluded hGAT1 (F72 in hNET) seems compatible with the binding of radafaxine. c. Structural comparisons of the substrate binding site between the substrate-free dmDAT (light cyan, PDB ID: 6M0F) and radafaxine-bound hNET (light pink). The substrate binding site enclosed by TMs 1, 3, 6, 8 is for structural alignment (RMSD 3.058 Å). d. Close-up of the radafaxine-binding site in c. The inward movements of TM1a and TM8 toward radafaxine in dmDAT appear as arrows. Movement of F43 of the outward-facing dmDAT (F72 in hNET) has a steric clash with radafaxine. e. Structural comparisons of the substrate-binding site between the substrate-free dmDAT (light cyan, PDB ID: 6M0F) and MIBG-bound hNET (light blue). The substrate binding site enclosed by TMs 1, 3, 6, 8 is for structural alignment (RMSD 3.013 Å). f. Close-up of the MIBG-binding site in e. The inward movements of TM1a and TM8 toward radafaxine in dmDAT appear as arrows. Movement of F43 of the outward-facing dmDAT (F72 in hNET) at TM1a seems compatible with the binding of MIBG. g. Inhibition mechanism of hNET by radafaxine. The substrate translocation is presumably due to movement of transmembrane helices (TM1 and TM6). Radafaxine is unfavourable to the transition of hNET from the inward-facing conformation to the outward-facing conformation for inhibition.

Extended Data Table 1 Cryo-EM data collection, refinement, and validation statistics

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Supplementary Information

Supplementary Fig. 1: uncropped gels for Extended Data Fig. 1e,f,l. The cropped regions are indicated by red dashed lines. Supplementary Table 1: reliability and reproducibility checklist for molecular dynamics simulations. Supplementary Table 2: description of the simulated system.

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Ji, W., Miao, A., Liang, K. et al. Substrate binding and inhibition mechanism of norepinephrine transporter. Nature 633, 473–479 (2024). https://doi.org/10.1038/s41586-024-07810-5

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