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:

Post-translational modifications orchestrate the intrinsic signaling bias of GPR52

Abstract

Despite recent advances in G-protein-coupled receptor (GPCR) biology, the regulation of GPCR activation, signaling and function by post-translational modifications (PTMs) remains largely unexplored. In this study of GPR52, an orphan GPCR with exceedingly high constitutive G-protein activity that is emerging as a neurotherapeutic target, we discovered its disproportionately low arrestin recruitment activity. After profiling the N-glycosylation and phosphorylation patterns, we found that these two types of PTMs differentially shape the intrinsic signaling bias of GPR52. While N-terminal N-glycosylation promotes constitutive Gs signaling possibly through favoring the self-activating conformation, phosphorylation in helix 8, to our great surprise, suppresses arrestin recruitment and attenuates receptor internalization. In addition, we uncovered the counteracting roles of N-glycosylation and phosphorylation in modulating GPR52-dependent accumulation of the huntingtin protein in brain striatal cells. Our study provides new insights into the regulation of intrinsic signaling bias and cellular function of an orphan GPCR through distinct PTMs in different motifs.

The alternative text for this image may have been generated using AI.

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

Access options

Buy this article

USD 39.95

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

Fig. 1: Intrinsic signaling bias and blocked internalization of GPR52 expressed in HEK293T cells.
The alternative text for this image may have been generated using AI.
Fig. 2: N-terminal N-glycosylation contributes to GPR52-mediated Gs signaling and receptor surface expression.
The alternative text for this image may have been generated using AI.
Fig. 3: Effects of site-specific N-glycosylation on GPR52 native conformation and agonist-binding property.
The alternative text for this image may have been generated using AI.
Fig. 4: Intracellular phosphorylation profiles of GPR52 in the absence or presence of agonist stimulation.
The alternative text for this image may have been generated using AI.
Fig. 5: Function of motif-specific phosphorylation in mediating GPR52 constitutive activity or agonist-induced activity of arrestin recruitment.
The alternative text for this image may have been generated using AI.
Fig. 6: N-glycosylation and phosphorylation orchestrate the intrinsic signaling bias of GPR52 and modulate HTT accumulation in brain striatal cells.
The alternative text for this image may have been generated using AI.

Similar content being viewed by others

Data availability

The LC–MS/MS raw data generated in this study for PTM identification and LiP–MS, IP–MS and HDX–MS experiments were deposited to the ProteomeXchange Consortium78 through the iProX partner repository79 with the dataset identifier IPX0008910000. The crystal structure of GPR52 (PDB 6LI0) was downloaded from the Protein Data Bank. Proteomics data results related to PTM identification, LiP–MS, IP–MS and HDX–MS are provided in Supplementary Tables 25. Source data are provided with this paper.

References

  1. Kolb, P. et al. Community guidelines for GPCR ligand bias: IUPHAR review 32. Br. J. Pharmacol. 179, 3651–3674 (2022).

    Article  CAS  Google Scholar 

  2. Wacker, D., Stevens, R. C. & Roth, B. L. How ligands illuminate GPCR molecular pharmacology. Cell 170, 414–427 (2017).

    Article  CAS  PubMed Central  Google Scholar 

  3. Hilger, D., Masureel, M. & Kobilka, B. K. Structure and dynamics of GPCR signaling complexes. Nat. Struct. Mol. Biol. 25, 4–12 (2018).

    Article  CAS  PubMed Central  Google Scholar 

  4. Wootten, D., Christopoulos, A., Marti-Solano, M., Babu, M. M. & Sexton, P. M. Mechanisms of signalling and biased agonism in G protein-coupled receptors. Nat. Rev. Mol. Cell Biol. 19, 638–653 (2018).

    Article  CAS  Google Scholar 

  5. Che, T. & Roth, B. L. Molecular basis of opioid receptor signaling. Cell 186, 5203–5219 (2023).

    Article  CAS  PubMed Central  Google Scholar 

  6. Manglik, A. et al. Structure-based discovery of opioid analgesics with reduced side effects. Nature 537, 185–190 (2016).

    Article  CAS  PubMed Central  Google Scholar 

  7. Roth, B. L. Molecular pharmacology of metabotropic receptors targeted by neuropsychiatric drugs. Nat. Struct. Mol. Biol. 26, 535–544 (2019).

    Article  CAS  PubMed Central  Google Scholar 

  8. Cao, D. et al. Structure-based discovery of nonhallucinogenic psychedelic analogs. Science 375, 403–411 (2022).

    Article  CAS  Google Scholar 

  9. Schmid, C. L. et al. Bias factor and therapeutic window correlate to predict safer opioid analgesics. Cell 171, 1165–1175 (2017).

    Article  CAS  PubMed Central  Google Scholar 

  10. Shukla, A. K. et al. Distinct conformational changes in β-arrestin report biased agonism at seven-transmembrane receptors. Proc. Natl Acad. Sci. USA 105, 9988–9993 (2008).

    Article  CAS  PubMed Central  Google Scholar 

  11. Liu, C. H. et al. Arrestin-biased AT1R agonism induces acute catecholamine secretion through TRPC3 coupling. Nat. Commun. 8, 14335 (2017).

    Article  CAS  PubMed Central  Google Scholar 

  12. Li, T. et al. Homocysteine directly interacts and activates the angiotensin II type I receptor to aggravate vascular injury. Nat. Commun. 9, 11 (2018).

    Article  PubMed Central  Google Scholar 

  13. Kim, J. et al. The β-arrestin-biased β-adrenergic receptor blocker carvedilol enhances skeletal muscle contractility. Proc. Natl Acad. Sci. USA 117, 12435–12443 (2020).

    Article  CAS  PubMed Central  Google Scholar 

  14. Suomivuori, C. M. et al. Molecular mechanism of biased signaling in a prototypical G protein-coupled receptor. Science 367, 881–887 (2020).

    Article  CAS  PubMed Central  Google Scholar 

  15. Wingler, L. M. et al. Angiotensin and biased analogs induce structurally distinct active conformations within a GPCR. Science 367, 888–892 (2020).

    Article  CAS  PubMed Central  Google Scholar 

  16. Yang, F. et al. Structural basis of GPBAR activation and bile acid recognition. Nature 587, 499–504 (2020).

    Article  CAS  Google Scholar 

  17. Ma, L. et al. Structural basis and molecular mechanism of biased GPBAR signaling in regulating NSCLC cell growth via YAP activity. Proc. Natl Acad. Sci. USA 119, e2117054119 (2022).

    Article  CAS  PubMed Central  Google Scholar 

  18. Martin, A. L., Steurer, M. A. & Aronstam, R. S. Constitutive activity among orphan class-A G protein coupled receptors. PLoS ONE 10, e0138463 (2015).

    Article  PubMed Central  Google Scholar 

  19. Chen, G. et al. Structural and functional characterization of the endogenous agonist for orphan receptor GPR3. Cell Res. 34, 262–265 (2024).

    Article  CAS  PubMed Central  Google Scholar 

  20. Xiong, Y. et al. Identification of oleic acid as an endogenous ligand of GPR3. Cell Res. 34, 232–244 (2024).

    Article  CAS  PubMed Central  Google Scholar 

  21. Yang, Z. et al. Structure of GPR101–Gs enables identification of ligands with rejuvenating potential. Nat. Chem. Biol. 20, 484–492 (2024).

    Article  CAS  Google Scholar 

  22. Li, J. et al. Structural basis for teneurin function in circuit-wiring: a toxin motif at the synapse. Cell 173, 735–748 (2018).

    Article  CAS  PubMed Central  Google Scholar 

  23. Bianchi, E. et al. Control of oviductal fluid flow by the G-protein coupled receptor Adgrd1 is essential for murine embryo transit. Nat. Commun. 12, 1251 (2021).

    Article  CAS  PubMed Central  Google Scholar 

  24. Ping, Y. Q. et al. Structures of the glucocorticoid-bound adhesion receptor GPR97–Go complex. Nature 589, 620–626 (2021).

    Article  CAS  Google Scholar 

  25. An, W. et al. Progesterone activates GPR126 to promote breast cancer development via the Gi pathway. Proc. Natl Acad. Sci. USA 119, e2117004119 (2022).

    Article  CAS  PubMed Central  Google Scholar 

  26. Lin, H. et al. Structures of the ADGRG2–Gs complex in apo and ligand-bound forms. Nat. Chem. Biol. 18, 1196–1203 (2022).

    Article  CAS  Google Scholar 

  27. Qu, X. et al. Structural basis of tethered agonism of the adhesion GPCRs ADGRD1 and ADGRF1. Nature 604, 779–785 (2022).

    Article  CAS  PubMed Central  Google Scholar 

  28. Lala, T. & Hall, R. A. Adhesion G protein-coupled receptors: structure, signaling, physiology, and pathophysiology. Physiol. Rev. 102, 1587–1624 (2022).

    Article  CAS  PubMed Central  Google Scholar 

  29. Lin, X. et al. Structural basis of ligand recognition and self-activation of orphan GPR52. Nature 579, 152–157 (2020).

    Article  CAS  Google Scholar 

  30. Lin, X. et al. Cryo-EM structures of orphan GPR21 signaling complexes. Nat. Commun. 14, 216 (2023).

    Article  CAS  PubMed Central  Google Scholar 

  31. Patwardhan, A., Cheng, N. & Trejo, J. Post-translational modifications of G protein-coupled receptors control cellular signaling dynamics in space and time. Pharmacol. Rev. 73, 120–151 (2021).

    Article  CAS  PubMed Central  Google Scholar 

  32. Zhang, B., Li, S. & Shui, W. Post-translational modifications of G protein-coupled receptors revealed by proteomics and structural biology. Front. Chem. 10, 843502 (2022).

    Article  CAS  PubMed Central  Google Scholar 

  33. Goth, C. K., Petaja-Repo, U. E. & Rosenkilde, M. M. G protein-coupled receptors in the sweet spot: glycosylation and other post-translational modifications. ACS Pharmacol. Transl. Sci. 3, 237–245 (2020).

    Article  CAS  PubMed Central  Google Scholar 

  34. Min, C. et al. N-linked glycosylation on the N-terminus of the dopamine D2 and D3 receptors determines receptor association with specific microdomains in the plasma membrane. Biochim. Biophys. Acta 1853, 41–51 (2015).

    Article  CAS  Google Scholar 

  35. Virion, Z. et al. Sialic acid mediated mechanical activation of β2 adrenergic receptors by bacterial pili. Nat. Commun. 10, 4752 (2019).

    Article  PubMed Central  Google Scholar 

  36. Ali, S., Wang, P., Murphy, R. E., Allen, J. A. & Zhou, J. Orphan GPR52 as an emerging neurotherapeutic target. Drug Discov. Today 29, 103922 (2024).

    Article  CAS  PubMed Central  Google Scholar 

  37. Wang, C. et al. GPR52 antagonist reduces huntingtin levels and ameliorates Huntington’s disease-related phenotypes. J. Med. Chem. 64, 941–957 (2021).

    Article  CAS  Google Scholar 

  38. Song, H. et al. Targeting Gpr52 lowers mutant HTT levels and rescues Huntington’s disease-associated phenotypes. Brain 141, 1782–1798 (2018).

    Article  PubMed Central  Google Scholar 

  39. Yao, Y. et al. A striatal-enriched intronic GPCR modulates huntingtin levels and toxicity. eLife 4, e05449 (2015).

    Article  PubMed Central  Google Scholar 

  40. Cary, B. P. et al. Structural and functional diversity among agonist-bound states of the GLP-1 receptor. Nat. Chem. Biol. 18, 256–263 (2022).

    Article  CAS  Google Scholar 

  41. Olsen, R. H. J. et al. TRUPATH, an open-source biosensor platform for interrogating the GPCR transducerome. Nat. Chem. Biol. 16, 841–849 (2020).

    Article  CAS  PubMed Central  Google Scholar 

  42. Reeves, P. J., Callewaert, N., Contreras, R. & Khorana, H. G. Structure and function in rhodopsin: high-level expression of rhodopsin with restricted and homogeneous N-glycosylation by a tetracycline-inducible N-acetylglucosaminyltransferase I-negative HEK293S stable mammalian cell line. Proc. Natl Acad. Sci. USA 99, 13419–13424 (2002).

    Article  CAS  PubMed Central  Google Scholar 

  43. Chaudhary, S., Pak, J. E., Gruswitz, F., Sharma, V. & Stroud, R. M. Overexpressing human membrane proteins in stably transfected and clonal human embryonic kidney 293S cells. Nat. Protoc. 7, 453–466 (2012).

    Article  CAS  PubMed Central  Google Scholar 

  44. de Souza, N. & Picotti, P. Mass spectrometry analysis of the structural proteome. Curr. Opin. Struct. Biol. 60, 57–65 (2020).

    Article  Google Scholar 

  45. Malinovska, L. et al. Proteome-wide structural changes measured with limited proteolysis-mass spectrometry: an advanced protocol for high-throughput applications. Nat. Protoc. 18, 659–682 (2023).

    Article  CAS  Google Scholar 

  46. Cappelletti, V. et al. Dynamic 3D proteomes reveal protein functional alterations at high resolution in situ. Cell 184, 545–559 (2021).

    Article  CAS  PubMed Central  Google Scholar 

  47. Mackmull, M. T. et al. Global, in situ analysis of the structural proteome in individuals with Parkinson’s disease to identify a new class of biomarker. Nat. Struct. Mol. Biol. 29, 978–989 (2022).

    Article  CAS  Google Scholar 

  48. Zhang, B. et al. A novel G protein-biased and subtype-selective agonist for a G protein-coupled receptor discovered from screening herbal extracts. ACS Cent. Sci. 6, 213–225 (2020).

    Article  CAS  PubMed Central  Google Scholar 

  49. Xin, Y. et al. Affinity selection of double-click triazole libraries for rapid discovery of allosteric modulators for GLP-1 receptor. Proc. Natl Acad. Sci. USA 120, e2220767120 (2023).

    Article  CAS  PubMed Central  Google Scholar 

  50. Lu, Y. et al. Accelerating the throughput of affinity mass spectrometry-based ligand screening toward a G protein-coupled receptor. Anal. Chem. 91, 8162–8169 (2019).

    Article  CAS  PubMed Central  Google Scholar 

  51. Ma, M. et al. Targeted proteomics combined with affinity mass spectrometry analysis reveals antagonist E7 acts as an intracellular covalent ligand of orphan receptor GPR52. ACS Chem. Biol. 15, 3275–3284 (2020).

    Article  CAS  Google Scholar 

  52. Maharana, J., Banerjee, R., Yadav, M. K., Sarma, P. & Shukla, A. K. Emerging structural insights into GPCR–β-arrestin interaction and functional outcomes. Curr. Opin. Struct. Biol. 75, 102406 (2022).

    Article  CAS  PubMed Central  Google Scholar 

  53. Dwivedi-Agnihotri, H. et al. Distinct phosphorylation sites in a prototypical GPCR differently orchestrate β-arrestin interaction, trafficking, and signaling. Sci. Adv. 6, eabb8368 (2020).

    Article  CAS  PubMed Central  Google Scholar 

  54. He, Q. T. et al. Structural studies of phosphorylation-dependent interactions between the V2R receptor and arrestin-2. Nat. Commun. 12, 2396 (2021).

    Article  CAS  PubMed Central  Google Scholar 

  55. Yang, Z. et al. Phosphorylation of G protein-coupled receptors: from the barcode hypothesis to the flute model. Mol. Pharmacol. 92, 201–210 (2017).

    Article  CAS  Google Scholar 

  56. Hatzipantelis, C. J., Lu, Y., Spark, D. L., Langmead, C. J. & Stewart, G. D. β-Arrestin-2-dependent mechanism of GPR52 signaling in frontal cortical neurons. ACS Chem. Neurosci. 11, 2077–2084 (2020).

    Article  CAS  Google Scholar 

  57. Zheng, C., Javitch, J. A., Lambert, N. A., Donthamsetti, P. & Gurevich, V. V. In-cell arrestin–receptor interaction assays. Curr. Protoc. 3, e890 (2023).

    Article  CAS  PubMed Central  Google Scholar 

  58. Namkung, Y. et al. Monitoring G protein-coupled receptor and β-arrestin trafficking in live cells using enhanced bystander BRET. Nat. Commun. 7, 12178 (2016).

    Article  PubMed Central  Google Scholar 

  59. Komolov, K. E. & Benovic, J. L. G protein-coupled receptor kinases: past, present and future. Cell Signal. 41, 17–24 (2018).

    Article  CAS  Google Scholar 

  60. Zhou, X. E. et al. Identification of phosphorylation codes for arrestin recruitment by G protein-coupled receptors. Cell 170, 457–469 (2017).

    Article  CAS  PubMed Central  Google Scholar 

  61. Huang, W. et al. Structure of the neurotensin receptor 1 in complex with β-arrestin 1. Nature 579, 303–308 (2020).

    Article  CAS  PubMed Central  Google Scholar 

  62. Staus, D. P. et al. Structure of the M2 muscarinic receptor–β-arrestin complex in a lipid nanodisc. Nature 579, 297–302 (2020).

    Article  CAS  PubMed Central  Google Scholar 

  63. Trettel, F. et al. Dominant phenotypes produced by the HD mutation in STHdhQ111 striatal cells. Hum. Mol. Genet. 9, 2799–2809 (2000).

    Article  CAS  Google Scholar 

  64. Latorraca, N. R. et al. How GPCR phosphorylation patterns orchestrate arrestin-mediated signaling. Cell 183, 1813–1825 (2020).

    Article  CAS  PubMed Central  Google Scholar 

  65. Mayer, D. et al. Distinct G protein-coupled receptor phosphorylation motifs modulate arrestin affinity and activation and global conformation. Nat. Commun. 10, 1261 (2019).

    Article  PubMed Central  Google Scholar 

  66. Brown, K. A., Morris, R. K., Eckhardt, S. J., Ge, Y. & Gellman, S. H. Phosphorylation sites of the gastric inhibitory polypeptide receptor (GIPR) revealed by trapped-ion-mobility spectrometry coupled to time-of-flight mass spectrometry (TIMS-TOF MS). J. Am. Chem. Soc. 145, 28030–28037 (2023).

    Article  CAS  PubMed Central  Google Scholar 

  67. Cao, C. et al. Signaling snapshots of a serotonin receptor activated by the prototypical psychedelic LSD. Neuron 110, 3154–3167 (2022).

    Article  CAS  PubMed Central  Google Scholar 

  68. Chen, K. et al. Tail engagement of arrestin at the glucagon receptor. Nature 620, 904–910 (2023).

    Article  CAS  PubMed Central  Google Scholar 

  69. Tabrizi, S. J., Ghosh, R. & Leavitt, B. R. Huntingtin lowering strategies for disease modification in Huntington’s disease. Neuron 101, 801–819 (2019).

    Article  CAS  Google Scholar 

  70. Gray, M. et al. Full-length human mutant huntingtin with a stable polyglutamine repeat can elicit progressive and selective neuropathogenesis in BACHD mice. J. Neurosci. 28, 6182–6195 (2008).

    Article  CAS  PubMed Central  Google Scholar 

  71. Slow, E. J. et al. Selective striatal neuronal loss in a YAC128 mouse model of Huntington disease. Hum. Mol. Genet. 12, 1555–1567 (2003).

    Article  CAS  Google Scholar 

  72. Pandy-Szekeres, G. et al. GPCRdb in 2023: state-specific structure models using AlphaFold2 and new ligand resources. Nucleic Acids Res. 51, D395–D402 (2023).

    Article  CAS  Google Scholar 

  73. Kroeze, W. K. et al. PRESTO-Tango as an open-source resource for interrogation of the druggable human GPCRome. Nat. Struct. Mol. Biol. 22, 362–369 (2015).

    Article  CAS  PubMed Central  Google Scholar 

  74. Shevchenko, A., Tomas, H., Havlis, J., Olsen, J. V. & Mann, M. In-gel digestion for mass spectrometric characterization of proteins and proteomes. Nat. Protoc. 1, 2856–2860 (2006).

    Article  CAS  Google Scholar 

  75. Yu, F. et al. Fast quantitative analysis of timsTOF PASEF data with MSFragger and IonQuant. Mol. Cell Proteomics 19, 1575–1585 (2020).

    Article  CAS  PubMed Central  Google Scholar 

  76. Hendrik Schmidt, J. et al. Constitutive internalization across therapeutically targeted GPCRs correlates with constitutive activity. Basic Clin. Pharmacol. Toxicol. 126, 116–121 (2020).

    Article  CAS  Google Scholar 

  77. Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493–500 (2024).

    Article  CAS  PubMed Central  Google Scholar 

  78. Deutsch, E. W. et al. The ProteomeXchange consortium at 10 years: 2023 update. Nucleic Acids Res. 51, D1539–D1548 (2023).

    Article  Google Scholar 

  79. Chen, T. et al. iProX in 2021: connecting proteomics data sharing with big data. Nucleic Acids Res. 50, D1522–D1527 (2022).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We thank Prof. Fei Xu and Dr. Xi Lin for fruitful discussion. We also thank P. Si at the cell expression core and other staff members at the purification or assay core facilities of iHuman Institute for their technical support. This work was funded by the National Key R&D Program of China (2022YFA1302902), National Natural Science Foundation of China (32171439 to W.S., 32471496 to W.S., 32301250 to B.Z., 92049301 to B.L. and 81925012 to B.L.), Shanghai Frontiers Science Center for Biomacromolecules and Precision Medicine at ShanghaiTech University, Innovation Program of Shanghai Municipal Education Commission (2021-01-07-00-07.E00074 to B.L.) and New Cornerstone Science Foundation (NCI202242 to B.L.). We also thank the Shanghai Municipal Government and ShanghaiTech University for financial support.

Author information

Authors and Affiliations

Contributions

W.S. conceptualized and supervised the project. B.Z. performed all cellular activity assays and data analysis. W.G. and M.M. performed the PTM identification and HTT accumulation assay. S.L. performed the LiP–MS analysis. B.Z. and J.Y. performed the IP–MS experiments. G.Y. and H.W. generated the Gpr52-KO cell line. J.L. performed the HDX–MS experiment with supervision by Q.L. and R.Z. B.L. cosupervised the project, provided fruitful discussion and edited the manuscript. W.S. and B.Z. wrote the manuscript with input from all authors

Corresponding authors

Correspondence to Boxun Lu or Wenqing Shui.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Chemical Biology thanks Asuka Inoue, Sangmin Lee 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.

Supplementary information

Supplementary Information (download PDF )

Supplementary Figs. 1–15 and Table 1.

Reporting Summary (download PDF )

Supplementary Tables 2–5 (download XLSX )

LiP–MS results, HDX–MS results, phosphosite identification and quantification results and phosphosite quantification results from IP–MS experiments.

Supplementary Data 1 (download XLSX )

Statistical source data for supplementary figures.

Source data

Source Data Fig. 1 (download XLSX )

Statistical source data.

Source Data Fig. 2 (download XLSX )

Statistical source data.

Source Data Fig. 3 (download XLSX )

Statistical source data.

Source Data Fig. 4 (download XLSX )

Statistical source data.

Source Data Fig. 5 (download XLSX )

Statistical source data.

Source Data Fig. 6 (download XLSX )

Statistical source data.

Source Data Figs. 2 and 6 (download PDF )

Unprocessed western blots.

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, B., Ge, W., Ma, M. et al. Post-translational modifications orchestrate the intrinsic signaling bias of GPR52. Nat Chem Biol 21, 1270–1282 (2025). https://doi.org/10.1038/s41589-025-01864-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Version of record:

  • Issue date:

  • DOI: https://doi.org/10.1038/s41589-025-01864-w

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