English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Deregulation upon DNA damage revealed by joint analysis of context-specific perturbation data

Szczurek, E., Markowetz, F., Gat-Viks, I., Biecek, P., Tiuryn, J., & Vingron, M. (2011). Deregulation upon DNA damage revealed by joint analysis of context-specific perturbation data. BMC Bioinformatics, 12, 249. Retrieved from http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=21693013 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3236061/pdf/1471-2105-12-249.pdf?tool=pmcentrez.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Szczurek, E.1, Author           
Markowetz, F., Author
Gat-Viks, I., Author
Biecek, P., Author
Tiuryn, J., Author
Vingron, M.2, Author           
Affiliations:
1Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433547              
2Gene regulation (Martin Vingron), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479639              

Content

show
hide
Free keywords: *DNA Damage; DNA Repair; Disease/genetics; Gene Expression Profiling; *Gene Expression Regulation; Humans; Signal Transduction; *Software
 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.

Details

show
hide
Language(s):
 Dates: 2011
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: BMC Bioinformatics
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 12 Sequence Number: - Start / End Page: 249 Identifier: ISSN: 1471-2105 (Electronic) 1471-2105 (Linking)