Abstract

BackgroundIn recent years, various types of cellular networks have penetrated biology and are nowadays used omnipresently for studying eukaryote and prokaryote organisms. Still, the relation and the biological overlap among phenomenological and inferential gene networks, e.g., between the protein interaction network and the gene regulatory network inferred from large-scale transcriptomic data, is largely unexplored.ResultsWe provide in this study an in-depth analysis of the structural, functional and chromosomal relationship between a protein-protein network, a transcriptional regulatory network and an inferred gene regulatory network, for S. cerevisiae and E. coli. Further, we study global and local aspects of these networks and their biological information overlap by comparing, e.g., the functional co-occurrence of Gene Ontology terms by exploiting the available interaction structure among the genes.ConclusionsAlthough the individual networks represent different levels of cellular interactions with global structural and functional dissimilarities, we observe crucial functions of their network interfaces for the assembly of protein complexes, proteolysis, transcription, translation, metabolic and regulatory interactions. Overall, our results shed light on the integrability of these networks and their interfacing biological processes.

Highlights

  • In recent years, various types of cellular networks have penetrated biology and are nowadays used omnipresently for studying eukaryote and prokaryote organisms

  • We provide a structural analysis of the S. cerevisiae and E. coli cellular networks

  • As we observe a prominent enrichment for protein complex related processes, we describe in the following the results of the gene pair enrichment analysis (GPEA) S. cerevisiae gene regulatory network (GRN)-protein-protein interaction network (PPN) interface analysis using Gene Ontology cellular component terms (Figure 5)

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Summary

Introduction

Various types of cellular networks have penetrated biology and are nowadays used omnipresently for studying eukaryote and prokaryote organisms. A TRN and a PPN are phenomenological networks because they are constructed from direct measurements of physical interactions (bindings) between molecular entities, whereas a GRN is an inferential network that needs to be statistically inferred from indirect interaction measurements in the form of gene expression data [3]. We study these three cellular networks for de Matos Simoes et al BMC Genomics 2013, 14:324 http://www.biomedcentral.com/1471-2164/14/324

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