Skip Navigation


Bioinformatics Advance Access originally published online on September 17, 2008
Bioinformatics 2008 24(22):2602-2607; doi:10.1093/bioinformatics/btn489
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (Print PDF) Freely available
Right arrow Supplementary Data
Right arrow All Versions of this Article:
24/22/2602    most recent
btn489v1
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Sameith, K.
Right arrow Articles by Falciani, F.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Sameith, K.
Right arrow Articles by Falciani, F.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2008. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Functional modules integrating essential cellular functions are predictive of the response of leukaemia cells to DNA damage

Katrin Sameith 1,{dagger}, Philipp Antczak 1, Elliot Marston 1, Nil Turan 1, Dieter Maier 3, Tanja Stankovic 2 and Francesco Falciani 1,*

1School of Biosciences and Institute of Biomedical Research (IBR), 2CRUK Institute for Cancer Studies, University of Birmingham, Birmingham, B152TT, UK and 3Biomax Informatics AG, Lochhamer Str. 9, 82152 Martinsried, Germany

*To whom correspondence should be addressed.


   Abstract

Motivation: Childhood B-precursor lymphoblastic leukaemia (ALL) is the most common paediatric malignancy. Despite the fact that 80% of ALL patients respond to anti-cancer drugs, the patho-physiology of this disease is still not fully understood. mRNA expression-profiling studies that have been performed have not yet provided novel insights into the mechanisms behind cellular response to DNA damage. More powerful data analysis techniques may be required for identifying novel functional pathways involved in the cellular responses to DNA damage.

Results: In order to explore the possibility that unforeseen biological processes may be involved in the response to DNA damage, we have developed and applied a novel procedure for the identification of functional modules in ALL cells. We have discovered that the overall activity of functional modules integrating protein degradation and mRNA processing is predictive of response to DNA damage.

Availability: Supplementary material including R code, additional results, experimental datasets, as well as a detailed description of the methodology are available at http://www.bip.bham.ac.uk/vivo/fumo.html.

Contact: f.falciani{at}bham.ac.uk

Supplementary information: Supplementary data are available at Bioinformatics online.

Associate Editor: John Quackenbush

{dagger}Present address: Holstege Group, UMC Utrecht, Utrecht, 3508 AB, The Netherlands.


Received on March 12, 2008; revised on September 5, 2008; accepted on September 12, 2008

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.