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Updated: Apr 30, 2026

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Quantitative Methods to Study Protein Arginine Methyltransferase 1-9 Activity in Cells
Published on: August 7, 2021
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Selective Targeting of Protein Arginine Methyltransferase 1 (PRMT1) Mutant Activity by a Small Molecule Activation
1Department of Pharmaceutical and Biomedical Sciences, College of Pharmacy, University of Georgia, Athens, Georgia 30602, United States.
ACS Chemical Biology
|April 28, 2026
Summary
Researchers developed a novel chemical genetics strategy to selectively activate Protein Arginine Methyltransferase 1 (PRMT1) using small molecules. This method offers precise control over PRMT1 activity, aiding in cancer research and understanding cellular functions.
Area of Science:
- Biochemistry
- Molecular Biology
- Chemical Biology
Background:
- Protein arginine methyltransferase 1 (PRMT1) is crucial for protein post-translational modification.
- PRMT1 overexpression is linked to cancer development and poor patient prognosis.
- Selective inhibition of PRMT isoforms is challenging due to high sequence similarity.
Purpose of the Study:
- To develop a novel method for selective modulation of PRMT1 activity using small molecules.
- To create a chemical genetics strategy for real-time control of PRMT1 function.
Main Methods:
- Site-directed mutagenesis was used to create enzymatically inactive PRMT1 variants (e.g., PRMT1-H293G).
- An exogenous small molecule (4-methylimidazole) was employed to activate the mutated PRMT1.
- Enzymatic activity was measured using single-substrate and proteome-wide assays.
Main Results:
- The small molecule 4-methylimidazole selectively enhanced PRMT1-H293G activity by 8.6-fold.
- This activation was specific to PRMT1, with no significant effect on other PRMT isoforms.
- The selective enhancement was validated in both simple and complex protein mixtures.
Conclusions:
- A unique chemical genetics approach enables selective modulation of PRMT1 activity.
- This strategy allows for precise, real-time dissection of individual PRMT isoform functions.
- The method holds potential for advancing cancer research and understanding cellular signaling pathways.
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