Skip Navigation


Nucleic Acids Research Advance Access originally published online on May 21, 2008
Nucleic Acids Research 2008 36(11):3828-3833; doi:10.1093/nar/gkn189
This Article
Right arrow Full Text Freely available
Right arrow Print PDF (4893K) Freely available
Right arrow Screen PDF (544K) Freely available
Right arrow Supplementary Data
Right arrowOA All Versions of this Article:
36/11/3828    most recent
gkn189v1
Right arrow Alert me when this article is cited
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 arrow Commercial Re-use Guidelines
for Open Access NAR Content
Google Scholar
Right arrow Articles by Lyakhov, I. G.
Right arrow Articles by Schneider, T. D.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Lyakhov, I. G.
Right arrow Articles by Schneider, T. D.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Nucleic Acids Research, 2008, Vol. 36, No. 11 3828-3833
© 2008 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Molecular Biology

Discovery of novel tumor suppressor p53 response elements using information theory

Ilya G. Lyakhov1, Annangarachari Krishnamachari2 and Thomas D. Schneider3,*

1Basic Research Program, SAIC-Frederick, Inc., NCI at Frederick, Frederick, MD, USA, 2Bioinformatics Centre, Jawaharlal Nehru University, New Delhi -110067, India and 3Center for Cancer Research Nanobiology Program, NCI at Frederick, Frederick, MD, USA

*To whom correspondence should be addressed. Tel: +1 301 846 5581;Fax: +1 301 846 5598; Email: toms{at}ncifcrf.gov

Received January 7, 2008. Revised March 31, 2008. Accepted April 1, 2008.

An accurate method for locating genes under tumor suppressor p53 control that is based on a well-established mathematical theory and built using naturally occurring, experimentally proven p53 sites is essential in understanding the complete p53 network. We used a molecular information theory approach to create a flexible model for p53 binding. By searching around transcription start sites in human chromosomes 1 and 2, we predicted 16 novel p53 binding sites and experimentally demonstrated that 15 of the 16 (94%) sites were bound by p53. Some were also bound by the related proteins p63 and p73. Thirteen of the adjacent genes were controlled by at least one of the proteins. Eleven of the 16 sites (69%) had not been identified previously. This molecular information theory approach can be extended to any genetic system to predict new sites for DNA-binding proteins.


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.