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Open Access Research article

Deregulation upon DNA damage revealed by joint analysis of context-specific perturbation data

Ewa Szczurek123*, Florian Markowetz4, Irit Gat-Viks5, Przemysław Biecek3, Jerzy Tiuryn3 and Martin Vingron1

Author Affiliations

1 Computational Molecular Biology Department, Max Planck Institute for Molecular Genetics, Ihnestrasse 73, 14195 Berlin,Germany

2 International Max Planck Research School for Computational Biology and Scientific Computing, Berlin, Germany

3 Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Banacha 2, 02-097 Warsaw, Poland

4 Cancer Research UK Cambridge Research Institute, Cambridge, United Kingdom, 5Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA

5 Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA

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BMC Bioinformatics 2011, 12:249  doi:10.1186/1471-2105-12-249

Published: 21 June 2011

Abstract

Background

Deregulation between two different cell populations manifests itself in changing gene expression patterns and changing regulatory interactions. Accumulating knowledge about biological networks creates an opportunity to study these changes in their cellular context.

Results

We analyze re-wiring of regulatory networks based on cell population-specific perturbation data and knowledge about signaling pathways and their target genes. We quantify deregulation by merging regulatory signal from the two cell populations into one score. This joint approach, called JODA, proves advantageous over separate analysis of the cell populations and analysis without incorporation of knowledge. JODA is implemented and freely available in a Bioconductor package 'joda'.

Conclusions

Using JODA, we show wide-spread re-wiring of gene regulatory networks upon neocarzinostatin-induced DNA damage in Human cells. We recover 645 deregulated genes in thirteen functional clusters performing the rich program of response to damage. We find that the clusters contain many previously characterized neocarzinostatin target genes. We investigate connectivity between those genes, explaining their cooperation in performing the common functions. We review genes with the most extreme deregulation scores, reporting their involvement in response to DNA damage. Finally, we investigate the indirect impact of the ATM pathway on the deregulated genes, and build a hypothetical hierarchy of direct regulation. These results prove that JODA is a step forward to a systems level, mechanistic understanding of changes in gene regulation between different cell populations.