Substrate binding and inhibition mechanism of norepinephrine transporter

Substrate binding and inhibition mechanism of norepinephrine transporter

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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. Access through your institution Buy or


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MECHANISMS OF THE HUMAN NORADRENALINE TRANSPORTER Article 31 July 2024 MOLECULAR BASIS OF HUMAN NORADRENALINE TRANSPORTER REUPTAKE AND INHIBITION Article 24 July 2024 TRANSPORT AND


INHIBITION MECHANISM FOR VMAT2-MEDIATED SYNAPTIC VESICLE LOADING OF MONOAMINES Article Open access 02 January 2024 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 * Bönisch, H. & Brüss, M. The norepinephrine


transporter in physiology and disease. _Handb. Exp. Pharmacol._ 175, 485–524 (2006). Article  Google Scholar  * 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  * 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  * Zhou, J. Norepinephrine transporter inhibitors and their therapeutic potential. _Drugs Future_ 29, 1235–1244 (2004). Article  CAS  PubMed  PubMed


Central  Google Scholar  * 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  * 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  * 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  *


Kristensen, A. S. et al. SLC6 neurotransmitter transporters: structure, function, and regulation. _Pharmacol. Rev._ 63, 585–640 (2011). Article  CAS  PubMed  Google Scholar  * 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  * Vallabhajosula, S. & Nikolopoulou, A. Radioiodinated metaiodobenzylguanidine (MIBG): radiochemistry, biology, and pharmacology. _Semin. Nucl. Med._ 41, 324–333 (2011). Article


  PubMed  Google Scholar  * 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  * 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  * 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  * 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  * 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  * 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  * 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  * 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  * 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  * 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  * 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  * 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  * 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  * 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  * 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  * 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  *


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  * 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  * 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  * 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  * 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  * 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  * 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  * 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  * 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  * Zomot, E. et al. Mechanism of chloride interaction with neurotransmitter:sodium


symporters. _Nature_ 449, 726–730 (2007). Article  CAS  PubMed  ADS  Google Scholar  * 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  * 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  * 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  * 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  * 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  * 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  * 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  * 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  * 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  *


Motiwala, Z. et al. Structural basis of GABA reuptake inhibition. _Nature_ 606, 820–826 (2022). Article  CAS  PubMed  PubMed Central  ADS  Google Scholar  * Shahsavar, A. et al. Structural


insights into the inhibition of glycine reuptake. _Nature_ 591, 677–681 (2021). Article  CAS  PubMed  ADS  Google Scholar  * Li, N. et al. Structure of a pancreatic ATP-sensitive potassium


channel. _Cell_ 168, 101–110 (2017). Article  CAS  PubMed  Google Scholar  * Yunlu, K. & Lei, C. Structure and mechanism of NALCN-FAM155AUNC79-UNC80 channel complex. _Nat. Commun._ 13,


2639 (2022). Article  Google Scholar  * 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  * Zhang, K. Gctf: real-time CTF determination and correction. _J. Struct. Biol._ 193, 1–12 (2016). Article  CAS  PubMed  PubMed


Central  ADS  Google Scholar  * 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  * 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  * Jumper, J. et al. Highly accurate


protein structure prediction with AlphaFold. _Nature_ 596, 583–589 (2021). Article  CAS  PubMed  PubMed Central  ADS  Google Scholar  * 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  * 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  * 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  * 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  * 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  * 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). Download references 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 Author notes * These authors contributed equally: Wenming Ji, Anran Miao, Kai Liang, Jiameng Liu AUTHORS AND AFFILIATIONS * State Key


Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P. R. China


Wenming Ji, Anran Miao, Kai Liang, Jiameng Liu, Yuhan Qi, Yue Zhou & Jing-Xiang Wu * Beijing Jingtai Technology, Beijing, P. R. China Xinli Duan, Jixue Sun & Lipeng Lai Authors *


Wenming Ji View author publications You can also search for this author inPubMed Google Scholar * Anran Miao View author publications You can also search for this author inPubMed Google


Scholar * Kai Liang View author publications You can also search for this author inPubMed Google Scholar * Jiameng Liu View author publications You can also search for this author inPubMed 


Google Scholar * Yuhan Qi View author publications You can also search for this author inPubMed Google Scholar * Yue Zhou View author publications You can also search for this author


inPubMed Google Scholar * Xinli Duan View author publications You can also search for this author inPubMed Google Scholar * Jixue Sun View author publications You can also search for this


author inPubMed Google Scholar * Lipeng Lai View author publications You can also search for this author inPubMed Google Scholar * Jing-Xiang Wu View author publications You can also search


for this author inPubMed Google Scholar 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. ETHICS DECLARATIONS COMPETING INTERESTS X.D., J.S. and L.L. are employees of Beijing Jingtai


Technology. The other authors declare no competing interests. PEER REVIEW PEER REVIEW INFORMATION _Nature_ thanks Gary Rudnick 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 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. SUPPLEMENTARY INFORMATION 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. REPORTING SUMMARY SOURCE DATA SOURCE DATA FIG. 1 SOURCE DATA FIG. 2 SOURCE DATA FIG. 3 SOURCE DATA FIG. 4 SOURCE DATA EXTENDED


DATA FIG. 1 SOURCE DATA EXTENDED DATA FIG. 3 SOURCE DATA EXTENDED DATA FIG. 8 RIGHTS AND PERMISSIONS Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights


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terms of such publishing agreement and applicable law. Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE 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 Download citation * Received: 06 December 2023 * Accepted: 10 July 2024 *


Published: 14 August 2024 * Issue Date: 12 September 2024 * DOI: https://doi.org/10.1038/s41586-024-07810-5 SHARE THIS ARTICLE Anyone you share the following link with will be able to read


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