Theoretical framework for the histone modification network: Modifications in the unstructured histone tails form a robust scale-free network

Yohei Hayashi, Toshiya Senda, Norihiko Sano, Masami Horikoshi

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

A rapid increase in research on the relationship between histone modifications and their subsequent reactions in the nucleus has revealed that the histone modification system is complex, and robust against point mutations. The prevailing theoretical framework (the histone code hypothesis) is inadequate to explain either the complexity or robustness, making the formulation of a new theoretical framework both necessary and desirable. Here, we develop a model of the regulatory network of histone modifications in which we encode histone modifications as nodes and regulatory interactions between histone modifications as links. This network has scale-free properties and subnetworks with a pseudo-mirror symmetry structure, which supports the robustness of the histone modification network. In addition, we show that the unstructured tail regions of histones are suitable for the acquisition of this scale-free property. Our model and related insights provide the first framework for an overall architecture of a histone modification network system, particularly with regard to the structural and functional roles of the unstructured histone tail region. In general, the post-translational "modification webs" of natively unfolded regions (proteins) may function as signal routers for the robust processing of the large amounts of signaling information.

Original languageEnglish
Pages (from-to)789-806
Number of pages18
JournalGenes to Cells
Volume14
Issue number7
DOIs
Publication statusPublished - 2009
Externally publishedYes

ASJC Scopus subject areas

  • Genetics
  • Cell Biology

Fingerprint

Dive into the research topics of 'Theoretical framework for the histone modification network: Modifications in the unstructured histone tails form a robust scale-free network'. Together they form a unique fingerprint.

Cite this