Literature DB >> 31542509

Assaying epigenome functions of PRMTs and their substrates.

Sinja Rakow1, Soni Savai Pullamsetti2, Uta-Maria Bauer1, Caroline Bouchard3.   

Abstract

Among the widespread and increasing number of identified post-translational modifications (PTMs), arginine methylation is catalyzed by the protein arginine methyltransferases (PRMTs) and regulates fundamental processes in cells, such as gene regulation, RNA processing, translation, and signal transduction. As epigenetic regulators, PRMTs play key roles in pluripotency, differentiation, proliferation, survival, and apoptosis, which are essential biological programs leading to development, adult homeostasis but also pathological conditions including cancer. A full understanding of the molecular mechanisms that underlie PRMT-mediated gene regulation requires the genome wide mapping of each player, i.e., PRMTs, their substrates and epigenetic marks, methyl-marks readers as well as interaction partners, in a thorough and unambiguous manner. However, despite the tremendous advances in high throughput sequencing technologies and the numerous efforts from the scientific community, the epigenomic profiling of PRMTs as well as their histone and non-histone substrates still remains a big challenge owing to obvious limitations in tools and methodologies. This review will summarize the present knowledge about the genome wide mapping of PRMTs and their substrates as well as the technical approaches currently in use. The limitations and pitfalls of the technical tools along with conventional approaches will be then discussed in detail. Finally, potential new strategies for chromatin profiling of PRMTs and histone substrates will be proposed and described.
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Arginine methylation; ChIP; Genome wide mapping; Obstacles and alternative approaches; PRMTs; PTMs

Mesh:

Substances:

Year:  2019        PMID: 31542509     DOI: 10.1016/j.ymeth.2019.09.014

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  4 in total

1.  DeepRMethylSite: a deep learning based approach for prediction of arginine methylation sites in proteins.

Authors:  Meenal Chaudhari; Niraj Thapa; Kaushik Roy; Robert H Newman; Hiroto Saigo; Dukka B K C
Journal:  Mol Omics       Date:  2020-10-12

Review 2.  Relationship between protein arginine methyltransferase and cardiovascular disease (Review).

Authors:  Sisi Zheng; Congcong Zeng; Ailing Huang; Fuqi Huang; Anna Meng; Zhuan Wu; Shouhong Zhou
Journal:  Biomed Rep       Date:  2022-09-16

3.  A novel screening strategy to identify histone methyltransferase inhibitors reveals a crosstalk between DOT1L and CARM1.

Authors:  Yang Si; Corentin Bon; Magdalena Barbachowska; Veronique Cadet-Daniel; Corinne Jallet; Laura Soresinetti; Mikaël Boullé; Magalie Duchateau; Mariette Matondo; Fabrice Agou; Ludovic Halby; Paola B Arimondo
Journal:  RSC Chem Biol       Date:  2022-02-22

Review 4.  The Novel Protease Activities of JMJD5-JMJD6-JMJD7 and Arginine Methylation Activities of Arginine Methyltransferases Are Likely Coupled.

Authors:  Haolin Liu; Pengcheng Wei; Qianqian Zhang; Zhongzhou Chen; Junfeng Liu; Gongyi Zhang
Journal:  Biomolecules       Date:  2022-02-23
  4 in total

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