Unknown

Dataset Information

0

Protein arginine methylation: an emerging regulator of the cell cycle.


ABSTRACT: Protein arginine methylation is a common post-translational modification where a methyl group is added onto arginine residues of a protein to alter detection by its binding partners or regulate its activity. It is known to be involved in many biological processes, such as regulation of signal transduction, transcription, facilitation of protein-protein interactions, RNA splicing and transport. The enzymes responsible for arginine methylation, protein arginine methyltransferases (PRMTs), have been shown to methylate or associate with important regulatory proteins of the cell cycle and DNA damage repair pathways, such as cyclin D1, p53, p21 and the retinoblastoma protein. Overexpression of PRMTs resulting in aberrant methylation patterns in cancers often correlates with poor recovery prognosis. This indicates that protein arginine methylation is also an important regulator of the cell cycle, and consequently a target for cancer regulation. The effect of protein arginine methylation on the cell cycle and how this emerging key player of cell cycle regulation may be used in therapeutic strategies for cancer are the focus of this review.

SUBMITTER: Raposo AE 

PROVIDER: S-EPMC5859524 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

altmetric image

Publications

Protein arginine methylation: an emerging regulator of the cell cycle.

Raposo Anita E AE   Piller Sabine C SC  

Cell division 20180320


Protein arginine methylation is a common post-translational modification where a methyl group is added onto arginine residues of a protein to alter detection by its binding partners or regulate its activity. It is known to be involved in many biological processes, such as regulation of signal transduction, transcription, facilitation of protein-protein interactions, RNA splicing and transport. The enzymes responsible for arginine methylation, protein arginine methyltransferases (PRMTs), have bee  ...[more]

Similar Datasets

| S-EPMC7529871 | biostudies-literature
| S-EPMC3165437 | biostudies-literature
| S-EPMC5557562 | biostudies-literature
| PRJNA610785 | ENA
| S-EPMC3156344 | biostudies-literature
2020-03-07 | GSE146506 | GEO
| S-EPMC2585502 | biostudies-literature
| S-EPMC4802296 | biostudies-literature
| S-EPMC8845131 | biostudies-literature
| S-EPMC3466549 | biostudies-literature