p53 binds preferentially to genomic regions with high DNA-encoded nucleosome occupancy
- Efrat Lidor Nili1,4,
- Yair Field2,4,
- Yaniv Lubling2,
- Jonathan Widom3,
- Moshe Oren1,5 and
- Eran Segal1,2,5
- 1Department of Molecular Cell Biology, The Weizmann Institute, Rehovot 76100, Israel;
- 2Department of Computer Science and Applied Mathematics, The Weizmann Institute, Rehovot 76100, Israel;
- 3Department of Biochemistry, Molecular Biology and Cell Biology, Northwestern University, Evanston, Illinois 60208, USA
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↵4 These authors contributed equally to this work.
Abstract
The human transcription factor TP53 is a pivotal roadblock against cancer. A key unresolved question is how the p53 protein selects its genomic binding sites in vivo out of a large pool of potential consensus sites. We hypothesized that chromatin may play a significant role in this site-selection process. To test this, we used a custom DNA microarray to measure p53 binding at approximately 2000 sites predicted to possess high-sequence specificity, and identified both strongly bound and weakly bound sites. When placed within a plasmid, weakly bound sites become p53 responsive and regain p53 binding when stably integrated into random genomic locations. Notably, strongly bound sites reside preferentially within genomic regions whose DNA sequence is predicted to encode relatively high intrinsic nucleosome occupancy. Using in vivo nucleosome occupancy measurements under conditions where p53 is inactive, we experimentally confirmed this prediction. Furthermore, upon p53 activation, nucleosomes are partially displaced from a relatively broad region surrounding the bound p53 sites, and this displacement is rapidly reversed upon inactivation of p53. Thus, in contrast to the general assumption that transcription-factor binding is preferred in sites that have low nucleosome occupancy prior to factor activation, we find that p53 binding occurs preferentially within a chromatin context of high intrinsic nucleosome occupancy.
Footnotes
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↵5 Corresponding authors.
E-mail eran.segal{at}weizmann.ac.il.
E-mail moshe.oren{at}weizmann.ac.il.
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[Supplemental material is available online at http://www.genome.org. The microarray data from this study have been submitted to the NCBI Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo) under accession no. GSE22783.]
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Article published online before print. Article and publication date are at http://www.genome.org/cgi/doi/10.1101/gr.103945.109.
- Received December 10, 2009.
- Accepted July 16, 2010.
- Copyright © 2010 by Cold Spring Harbor Laboratory Press











