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British Journal of Pharmacology
Article . 2026 . Peer-reviewed
License: CC BY NC ND
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Covalent fluorescent probes for 2‐arachidonoylglycerol metabolic pathways

Authors: Puijmbroeck, N.D.F.; Stelt, M. van der;

Covalent fluorescent probes for 2‐arachidonoylglycerol metabolic pathways

Abstract

Abstract Covalent fluorescent probes have emerged as versatile chemical tools to visualise active enzymes in complex biological systems. When tailored for specific applications, ranging from activity‐based protein profiling for drug development to high spatiotemporal resolution imaging of enzymatic activities, these probes provide unique insights into rapid lipid metabolism. The recent development of reverse‐designing optimised inhibitors into probes, together with improved analytical techniques, is rapidly advancing our ability to resolve enzyme function in great detail. In this mini‐review, we summarise the current landscape of covalent fluorescent probes for the 2‐arachidonoylglycerol (2‐AG) metabolising enzymes (diacylglycerol lipase, monoacylglycerol lipase, ABHD6 and ABHD12), highlighting the discoveries they have enabled and discussing strategies to address gaps where probes remain lacking.

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Top 10%
Average
Average
Green
hybrid
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