Affinity-based covalent sialyltransferase probes enabled by ligand-directed chemistry

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Sialyltransferases (ST) are key enzymes found in, among others, mammals and bacteria that are responsible for producing sialylated glycans, which play critical roles in human health and disease. However, chemical tools to study sialyltransferases have been limited to non-covalent inhibitors and probes that do not allow isolation and profiling of these important enzymes. Here we report a new class of covalent affinity-based probes (AfBP) for ST by using ligand-directed chemistry (LDchem). Our affinity-based probes are armed with a simple to synthesise but robust O-nitrobenzoxadiazole (O-NBD) warhead, which is a lysine-specific SNAr electrophilic warhead with an advantageous turn-on fluorescence property. We chemoenzymatically synthesised a series of CMP-Neu5Ac based probes and demonstrated their high specificity in labelling a range of recombinant STs with submicromolar sensitivity. Importantly, with our LDchem ST probe, we successfully labelled the endogenous lipooligosaccharide ST (Lst) in live Neisseria gonorrhoeae, a clinically relevant human pathogen. Our results demonstrated that this new class of covalent ST probes offer a robust platform for ST profiling and future studies of STs in their native environments.

Original languageEnglish
Pages (from-to)3336-3344
Number of pages9
JournalChemical Science
Volume16
Issue number7
Early online date13 Jan 2025
DOIs
Publication statusPublished - 21 Feb 2025

Bibliographical note

Publisher Copyright:
© 2025 The Author(s)

Funding

We thank Prof. Dr Geert-Jan Boons (Utrecht University), Dr Gerlof P. Bosman (Utrecht University), Debora van Ekeris (Utrecht University) and Dr Romane Breysse (Inbiose NV, Belgium) for kindly providing and assisting in the preparation of the recombinant enzymes. We thank Dr Javier Sastre Torano for recording the high-resolution mass spectrometry data of synthesised chemical compounds. Research in this publication was supported by funding from the European Union's Horizon 2020 Marie Sklodowska-Curie Actions for the Innovative Training Network "Sweet Crosstalk" under the grant agreement No. 814102.

FundersFunder number
Universiteit Utrecht
European Union's Horizon 2020 Marie Skłodowska-Curie Actions814102

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