Architecture of the human regulatory network derived from ENCODE data Academic Article uri icon

Overview

MeSH Major

  • DNA
  • Encyclopedias as Topic
  • Gene Regulatory Networks
  • Genome, Human
  • Molecular Sequence Annotation
  • Regulatory Sequences, Nucleic Acid
  • Transcription Factors

abstract

  • Transcription factors bind in a combinatorial fashion to specify the on-and-off states of genes; the ensemble of these binding events forms a regulatory network, constituting the wiring diagram for a cell. To examine the principles of the human transcriptional regulatory network, we determined the genomic binding information of 119 transcription-related factors in over 450 distinct experiments. We found the combinatorial, co-association of transcription factors to be highly context specific: distinct combinations of factors bind at specific genomic locations. In particular, there are significant differences in the binding proximal and distal to genes. We organized all the transcription factor binding into a hierarchy and integrated it with other genomic information (for example, microRNA regulation), forming a dense meta-network. Factors at different levels have different properties; for instance, top-level transcription factors more strongly influence expression and middle-level ones co-regulate targets to mitigate information-flow bottlenecks. Moreover, these co-regulations give rise to many enriched network motifs (for example, noise-buffering feed-forward loops). Finally, more connected network components are under stronger selection and exhibit a greater degree of allele-specific activity (that is, differential binding to the two parental alleles). The regulatory information obtained in this study will be crucial for interpreting personal genome sequences and understanding basic principles of human biology and disease.

authors

publication date

  • September 6, 2012

Research

keywords

  • Academic Article

Identity

Language

  • eng

PubMed Central ID

  • PMC4154057

Digital Object Identifier (DOI)

  • 10.1038/nature11245

PubMed ID

  • 22955619

Additional Document Info

start page

  • 91

end page

  • 100

volume

  • 489

number

  • 7414