Unknown

Dataset Information

Emergent properties of the lysine methylome reveal regulatory roles via protein interactions and histone mimicry.


ABSTRACT:

Aims

Epigenomics has significantly advanced through the incorporation of Systems Biology approaches. This study aims to investigate the human lysine methylome as a system, using a data-science approach to reveal its emergent properties, particularly focusing on histone mimicry and the broader implications of lysine methylation across the proteome.

Methods

We employed a data-science-driven OMICS approach, leveraging high-dimensional proteomic data to study the lysine methylome. The analysis focused on identifying sequence-based recognition motifs of lysine methyltransferases and evaluating the prevalence and distribution of lysine methylation across the human proteome.

Results

Our analysis revealed that lysine methylation impacts 15% of the known proteome, with a notab

SUBMITTER: Pollin G 

PROVIDER: S-EPMC11703355 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature