Abstract

Neph et al. (2012) (Circuitry and dynamics of human transcription factor regulatory networks. Cell, 150: 1274–1286) reported the transcription factor (TF) regulatory networks of 41 human cell types using the DNaseI footprinting technique. This provides a valuable resource for uncovering regulation principles in different human cells. In this paper, the architectures of the 41 regulatory networks and the distributions of housekeeping and specific regulatory interactions are investigated. The TF regulatory networks of different human cell types demonstrate similar global three-layer (top, core and bottom) hierarchical architectures, which are greatly different from the yeast TF regulatory network. However, they have distinguishable local organizations, as suggested by the fact that wiring patterns of only a few TFs are enough to distinguish cell identities. The TF regulatory network of human embryonic stem cells (hESCs) is dense and enriched with interactions that are unseen in the networks of other cell types. The examination of specific regulatory interactions suggests that specific interactions play important roles in hESCs.

Highlights

  • Living cells are the products of transcription programs involving thousands of genes

  • We investigate the structural organizations and dynamics of the 41 human cell-type transcription factor (TF) regulatory networks reported in [18] using the vertex-sort algorithm developed in Jothi et al [20]

  • A close examination finds that the TFs regulated by the signal transducer and activator of transcription (STAT) are annotated with different gene ontology (GO) terms in different regulatory networks

Read more

Summary

Introduction

Living cells are the products of transcription programs involving thousands of genes. Sequence-specific transcription factor (TF) proteins regulate target genes by binding to promoter regions adjacent to the DNA sequences of the genes. There are less than 2000 TFs in the human genome [1,2,3,4]. They work cooperatively to enhance or inhibit their target genes to achieve high specificity, and to precisely control the condition-dependent expression of the genes to respond to extracellular stimuli. The mutual interactions among TFs determine cellular identity and shape complex cellular functions [5,6]. This makes the study of human TFs on a system-wide scale of vitally important [7].

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call