Sorting the nuclear proteome

Bioinformatics. 2011 Jul 1;27(13):i7-14. doi: 10.1093/bioinformatics/btr217.

Abstract

Motivation: Quantitative experimental analyses of the nuclear interior reveal a morphologically structured yet dynamic mix of membraneless compartments. Major nuclear events depend on the functional integrity and timely assembly of these intra-nuclear compartments. Yet, unknown drivers of protein mobility ensure that they are in the right place at the time when they are needed.

Results: This study investigates determinants of associations between eight intra-nuclear compartments and their proteins in heterogeneous genome-wide data. We develop a model based on a range of candidate determinants, capable of mapping the intra-nuclear organization of proteins. The model integrates protein interactions, protein domains, post-translational modification sites and protein sequence data. The predictions of our model are accurate with a mean AUC (over all compartments) of 0.71. We present a complete map of the association of 3567 mouse nuclear proteins with intra-nuclear compartments. Each decision is explained in terms of essential interactions and domains, and qualified with a false discovery assessment. Using this resource, we uncover the collective role of transcription factors in each of the compartments. We create diagrams illustrating the outcomes of a Gene Ontology enrichment analysis. Associated with an extensive range of transcription factors, the analysis suggests that PML bodies coordinate regulatory immune responses.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Bayes Theorem*
  • Cell Nucleus / chemistry*
  • Cell Nucleus / metabolism
  • Gene Expression
  • Intranuclear Inclusion Bodies / chemistry
  • Intranuclear Inclusion Bodies / metabolism
  • Mice
  • Nuclear Proteins / metabolism
  • Protein Processing, Post-Translational
  • Protein Transport
  • Proteome / analysis*
  • Transcription Factors / analysis*
  • Transcription Factors / metabolism

Substances

  • Nuclear Proteins
  • Proteome
  • Transcription Factors