Abstract
Protein–carbohydrate interactions play important roles in various biological processes, such as organism development, cancer metastasis, pathogen infection and immune response, but they remain challenging to study and exploit due to their low binding affinity and non-covalent nature. Here we site-specifically engineered covalent linkages between proteins and carbohydrates under biocompatible conditions. We show that sulfonyl fluoride reacts with glycans via a proximity-enabled reactivity, and to harness this a bioreactive unnatural amino acid (SFY) that contains sulfonyl fluoride was genetically encoded into proteins. SFY-incorporated Siglec-7 crosslinked with its sialoglycan ligand specifically in vitro and on the surface of cancer cells. Through irreversible cloaking of sialoglycan at the cancer cell surface, SFY-incorporated Siglec-7 enhanced the killing of cancer cells by natural killer cells. Genetically encoding the chemical crosslinking of proteins to carbohydrates (GECX-sugar) offers a solution to address the low affinity and weak strength of protein–sugar interactions.
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Data availability
All data supporting the results and conclusions are available within the article and its Supplementary Information. Synthetic experimental procedures, compound characterization, NMR and HPLC are available in the Supplementary Information. Requests for materials should be addressed to L.W. Source data are provided with this paper.
References
Sears, P. & Wong, C. Carbohydrate mimetics: a new strategy for tackling the problem of carbohydrate-mediated biological recognition. Angew. Chem. Int. Ed. 38, 2300–2324 (1999).
Spiro, R. G. Protein glycosylation: nature, distribution, enzymatic formation, and disease implications of glycopeptide bonds. Glycobiology 12, 43R–56R (2002).
Fuster, M. M. & Esko, J. D. The sweet and sour of cancer: glycans as novel therapeutic targets. Nat. Rev. Cancer 5, 526–542 (2005).
Stowell, S. R., Ju, T. & Cummings, R. D. Protein glycosylation in cancer. Annu. Rev. Pathol. 10, 473–510 (2015).
Imberty, A. & Prestegard, J. H. in Essentials of Glycobiology 3rd edn (eds Varki, A. et al.) Ch. 30 (Blackwells, 2015).
Nelson, R. M., Venot, A., Bevilacqua, M. P., Linhardt, R. J. & Stamenkovic, I. Carbohydrate–protein interactions in vascular biology. Annu. Rev. Cell Dev. Biol. 11, 601–631 (1995).
Sterner, E., Flanagan, N. & Gildersleeve, J. C. Perspectives on anti-glycan antibodies gleaned from development of a community resource database. ACS Chem. Biol. 11, 1773–1783 (2016).
Polonskaya, Z., Savage, P. B., Finn, M. G. & Teyton, L. High-affinity anti-glycan antibodies: challenges and strategies. Curr. Opin. Immunol. 59, 65–71 (2019).
Hudak, J. E. & Bertozzi, C. R. Glycotherapy: new advances inspire a reemergence of glycans in medicine. Chem. Biol. 21, 16–37 (2014).
Xiang, Z. et al. Adding an unnatural covalent bond to proteins through proximity-enhanced bioreactivity. Nat. Methods 10, 885–888 (2013).
Wang, L. Genetically encoding new bioreactivity. New Biotechnol. 38, 16–25 (2017).
Yang, B. et al. Spontaneous and specific chemical cross-linking in live cells to capture and identify protein interactions. Nat. Commun. 8, 2240 (2017).
Li, Q. et al. Developing covalent protein drugs via proximity-enabled reactive therapeutics. Cell 182, 85–97.e16 (2020).
Liu, C. et al. Identification of protein direct interactome with genetic code expansion and search engine OpenUaa. Adv. Biol. 5, e2000308 (2021).
Xuan, W., Li, J., Luo, X. & Schultz, P. G. Genetic incorporation of a reactive isothiocyanate group into proteins. Angew. Chem. Int. Ed. 128, 10219–10222 (2016).
Jäger, M. & Minnaard, A. J. Regioselective modification of unprotected glycosides. Chem. Commun. 52, 656–664 (2016).
Wang, L.-X. & Davis, B. G. Realizing the promise of chemical glycobiology. Chem. Sci. 4, 3381–3394 (2013).
Falco, M. et al. Identification and molecular cloning of p75/AIRM1, a novel member of the sialoadhesin family that functions as an inhibitory receptor in human natural killer cells. J. Exp. Med. 190, 793–802 (1999).
Crocker, P. R., Paulson, J. C. & Varki, A. Siglecs and their roles in the immune system. Nat. Rev. Immunol. 7, 255–266 (2007).
Yamaji, T., Teranishi, T., Alphey, M. S., Crocker, P. R. & Hashimoto, Y. A small region of the natural killer cell receptor, Siglec-7, is responsible for its preferred binding to α2,8-disialyl and branched α2,6-sialyl residues. A comparison with Siglec-9. J. Biol. Chem. 277, 6324–6332 (2002).
Attrill, H. et al. The structure of Siglec-7 in complex with sialosides: leads for rational structure-based inhibitor design. Biochem. J. 397, 271–278 (2006).
Macauley, M. S., Crocker, P. R. & Paulson, J. C. Siglec-mediated regulation of immune cell function in disease. Nat. Rev. Immunol. 14, 653–666 (2014).
Cao, L. & Wang, L. New covalent bonding ability for proteins. Protein Sci. 31, 312–322 (2022).
Yang, B. et al. Proximity-enhanced SuFEx chemical cross-linker for specific and multitargeting cross-linking mass spectrometry. Proc. Natl Acad. Sci. USA 115, 11162–11167 (2018).
Hoppmann, C. & Wang, L. Proximity-enabled bioreactivity to generate covalent peptide inhibitors of p53-Mdm4. Chem. Commun. 52, 5140–5143 (2016).
Xiang, Z. et al. Proximity-enabled protein crosslinking through genetically encoding haloalkane unnatural amino acids. Angew. Chem. Int. Ed. 53, 2190–2193 (2014).
Chen, X. H. et al. Genetically encoding an electrophilic amino acid for protein stapling and covalent binding to native receptors. ACS Chem. Biol. 9, 1956–1961 (2014).
Hoppmann, C., Maslennikov, I., Choe, S. & Wang, L. In situ formation of an azo bridge on proteins controllable by visible light. J. Am. Chem. Soc. 137, 11218–11221 (2015).
Wang, N. et al. Genetically encoding fluorosulfate-l-tyrosine to react with lysine, histidine, and tyrosine via SuFEx in proteins in vivo. J. Am. Chem. Soc. 140, 4995–4999 (2018).
Liu, J. et al. Genetically encoding photocaged quinone methide to multitarget protein residues covalently in vivo. J. Am. Chem. Soc. 141, 9458–9462 (2019).
Liu, J. et al. Genetically encoded quinone methides enabling rapid, site-specific, and photocontrolled protein modification with amine reagents. J. Am. Chem. Soc. 142, 17057–17068 (2020).
Liu, J. et al. Photocaged quinone methide crosslinkers for light-controlled chemical crosslinking of protein–protein and protein–DNA complexes. Angew. Chem. Int. Ed. 58, 18839–18843 (2019).
Yu, H. et al. Chemoenzymatic synthesis of GD3 oligosaccharides and other disialyl glycans containing natural and non-natural sialic acids. J. Am. Chem. Soc. 131, 18467–18477 (2009).
Yu, R. K., Tsai, Y.-T., Ariga, T. & Yanagisawa, M. Structures, biosynthesis, and functions of gangliosides—an overview. J. Oleo. Sci. 60, 537–544 (2011).
Krengel, U. & Bousquet, P. A. Molecular recognition of gangliosides and their potential for cancer immunotherapies. Front. Immunol. 5, 325 (2014).
Attrill, H. et al. Siglec-7 undergoes a major conformational change when complexed with the α(2,8)-disialylganglioside GT1b. J. Biol. Chem. 281, 32774–32783 (2006).
Lacey, V. K., Louie, G. V., Noel, J. P. & Wang, L. Expanding the library and substrate diversity of the pyrrolysyl-tRNA synthetase to incorporate unnatural amino acids containing conjugated rings. ChemBioChem 14, 2100–2105 (2013).
Takimoto, J. K., Dellas, N., Noel, J. P. & Wang, L. Stereochemical basis for engineered pyrrolysyl-tRNA synthetase and the efficient in vivo incorporation of structurally divergent non-native amino acids. ACS Chem. Biol. 6, 733–743 (2011).
Kobayashi, T., Hoppmann, C., Yang, B. & Wang, L. Using protein-confined proximity to determine chemical reactivity. J. Am. Chem. Soc. 138, 14832–14835 (2016).
Portoukalian, J., Zwingelstein, G. & Doré, J. F. Lipid composition of human malignant melanoma tumors at various levels of malignant growth. Eur. J. Biochem. 94, 19–23 (1979).
Razi, N. & Varki, A. Masking and unmasking of the sialic acid-binding lectin activity of CD22 (Siglec-2) on B lymphocytes. Proc. Natl Acad. Sci. USA 95, 7469–7474 (1998).
Dippold, W. G. et al. Cell surface antigens of human malignant melanoma: definition of six antigenic systems with mouse monoclonal antibodies. Proc. Natl Acad. Sci. USA 77, 6114–6118 (1980).
Suck, G. et al. NK-92: an ‘off-the-shelf therapeutic’ for adoptive natural killer cell-based cancer immunotherapy. Cancer Immunol. Immunother. 65, 485–492 (2016).
Joiner, C. M., Li, H., Jiang, J. & Walker, S. Structural characterization of the O-GlcNAc cycling enzymes: insights into substrate recognition and catalytic mechanisms. Curr. Opin. Struct. Biol. 56, 97–106 (2019).
van de Wall, S., Santegoets, K. C. M., van Houtum, E. J. H., Büll, C. & Adema, G. J. Sialoglycans and Siglecs can shape the tumor immune microenvironment. Trends Immunol. 41, 274–285 (2020).
Li, R. E., van Vliet, S. J. & van Kooyk, Y. Using the glycan toolbox for pathogenic interventions and glycan immunotherapy. Curr. Opin. Biotechnol. 51, 24–31 (2018).
Hu, C.-W. et al. Electrophilic probes for deciphering substrate recognition by O-GlcNAc transferase. Nat. Chem. Biol. 13, 1267–1273 (2017).
Chang, P. V. et al. Metabolic labeling of sialic acids in living animals with alkynyl sugars. Angew. Chem. Int. Ed. 48, 4030–4033 (2009).
Speers, A. E. & Cravatt, B. F. Profiling enzyme activities in vivo using click chemistry methods. Chem. Biol. 11, 535–546 (2004).
Yang, Y., Yang, X. & Verhelst, S. H. L. Comparative analysis of click chemistry mediated activity-based protein profiling in cell lysates. Molecules 18, 12599–12608 (2013).
Borrel, G. et al. Comparative genomics highlights the unique biology of Methanomassiliicoccales, a Thermoplasmatales-related seventh order of methanogenic archaea that encodes pyrrolysine. BMC Genomics 15, 679 (2014).
Chen, Z.-L. et al. A high-speed search engine pLink 2 with systematic evaluation for proteome-scale identification of cross-linked peptides. Nat. Commun. 10, 3404 (2019).
Acknowledgements
L.W. acknowledges the support of the NIH (R01GM118384 and R01CA258300).
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S.L. and L.W. conceived research; S.L., B.Y. and L.W. designed the experiments; S.L., N.W., B.Y. and W.S. performed the experiments; S.L. and L.W. analysed the data; S.L., B.Y. and L.W. wrote the manuscript; L.W. supervised the project; and all the authors read and approved the manuscript.
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Competing interests
L.W., S.L. and N.W. are inventors on a patent application filed as International Application No. PCT/US2022/031925 by The Regents of the University of California. The patent application covers the unnatural amino acid SFY and its ability to crosslink carbohydrates, as described in the article. The other authors (B.Y. and W.S.) declare no competing interests.
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Chemo-enzymatic synthesis of azido-GD3, chemical synthesis procedure, NMR spectra and Supplementary Figs. 1–9, Tables 1 and 2 and Data Files.
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Unprocessed western blots and statistical source data.
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Unprocessed western blots and statistical source data.
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Statistical source data.
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Li, S., Wang, N., Yu, B. et al. Genetically encoded chemical crosslinking of carbohydrate. Nat. Chem. 15, 33–42 (2023). https://doi.org/10.1038/s41557-022-01059-z
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DOI: https://doi.org/10.1038/s41557-022-01059-z
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