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Published on: May 23, 2025
Towards the structural characterization of the human methyltransferome
Michael K Fenwick1, Steven E Ealick1
1Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY 14853, United States.
Methyltransferases (MTases) are crucial enzymes, but many are inefficient alone. New structural insights reveal how these methyltransferases are activated through protein interactions, offering a deeper understanding of the human methyltransferome.
Area of Science:
- Biochemistry
- Structural Biology
- Genetics
Background:
- Over 2000 methyltransferase (MTase) structures are known, revealing diverse folds for methyl donor binding.
- Many MTases involved in gene regulation are catalytically inefficient in isolation, with inhibitory active site architectures.
- Recent structural studies of MTase complexes provide insights into biological context and activation mechanisms.
Purpose of the Study:
- To review the structural landscape of the human methyltransferome.
- To elucidate newly discovered structural mechanisms underlying MTase activation.
Main Methods:
- Structural analysis of available methyltransferase (MTase) structures.
- Review of recent crystallographic and cryo-EM studies of MTase complexes.
- Integration of structural data with functional and biological context.
Main Results:
- Fifteen distinct MTase folds have been identified, offering molecular insights into the human methyltransferome.
- Isolated MTases often exhibit inefficient catalysis due to inhibitory active site structures.
- Allosteric activation mechanisms involving histone modifications, reader domains, reader proteins, and activator proteins have been revealed for various MTases.
Conclusions:
- Structural biology is crucial for understanding methyltransferase (MTase) function and regulation.
- Activation mechanisms involving protein-protein interactions are key to overcoming the inherent inefficiency of many MTases.
- These findings advance our knowledge of the human methyltransferome and its regulation in biological processes.
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