Kinetic characterization of human mRNA guanine-N7 methyltransferase.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
24 Feb 2024
Historique:
received: 01 01 2024
accepted: 21 02 2024
medline: 25 2 2024
pubmed: 25 2 2024
entrez: 24 2 2024
Statut: epublish

Résumé

The 5'-mRNA-cap formation is a conserved process in protection of mRNA in eukaryotic cells, resulting in mRNA stability and efficient translation. In humans, two methyltransferases, RNA cap guanine-N7 methyltransferase (hRNMT) and cap-specific nucleoside-2'-O-methyltransferase 1 (hCMTr1) methylate the mRNA resulting in cap0 (N7mGpppN-RNA) and cap1 (N7mGpppN2'-Om-RNA) formation, respectively. Coronaviruses mimic this process by capping their RNA to evade human immune systems. The coronaviral nonstructural proteins, nsp14 and nsp10-nsp16, catalyze the same reactions as hRNMT and hCMTr1, respectively. These two viral enzymes are important targets for development of inhibitor-based antiviral therapeutics. However, assessing the selectivity of such inhibitors against human corresponding proteins is crucial. Human RNMTs have been implicated in proliferation of cancer cells and are also potential targets for development of anticancer therapeutics. Here, we report the development and optimization of a radiometric assay for hRNMT, full kinetic characterization of its activity, and optimization of the assay for high-throughput screening with a Z-factor of 0.79. This enables selectivity determination for a large number of hits from various screening of coronaviral methyltransferases, and also screening hRNMT for discovery of inhibitors and chemical probes that potentially could be used to further investigate the roles RNMTs play in cancers.

Identifiants

pubmed: 38402266
doi: 10.1038/s41598-024-55184-5
pii: 10.1038/s41598-024-55184-5
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4509

Subventions

Organisme : NIH HHS
ID : U19AI171110
Pays : United States

Informations de copyright

© 2024. The Author(s).

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Auteurs

Sumera Perveen (S)

Structural Genomics Consortium, University of Toronto, Toronto, ON, M5G 1L7, Canada.

Aliakbar Khalili Yazdi (AK)

Structural Genomics Consortium, University of Toronto, Toronto, ON, M5G 1L7, Canada.

Taraneh Hajian (T)

Ontario Institute for Cancer Research, 661 University Ave, Toronto, ON, M5G 0A3, Canada.

Fengling Li (F)

Structural Genomics Consortium, University of Toronto, Toronto, ON, M5G 1L7, Canada.

Masoud Vedadi (M)

Ontario Institute for Cancer Research, 661 University Ave, Toronto, ON, M5G 0A3, Canada. m.vedadi@utoronto.ca.
Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, M5S 1A8, Canada. m.vedadi@utoronto.ca.
QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA. m.vedadi@utoronto.ca.

Classifications MeSH