The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Whole-Genome Cartography of Estrogen Receptor α Binding Sites
Open accessAbstract
Using a chromatin immunoprecipitation-paired end diTag cloning and sequencing strategy, we mapped estrogen receptor alpha (ERalpha) binding sites in MCF-7 breast cancer cells. We identified 1,234 high confidence binding clusters of which 94% are projected to be bona fide ERalpha binding regions. Only 5% of the mapped estrogen receptor binding sites are located within 5 kb upstream of the transcriptional start sites of adjacent genes, regions containing the proximal promoters, whereas vast majority of the sites are mapped to intronic or distal locations (>5 kb from 5' and 3' ends of adjacent transcript), suggesting transcriptional regulatory mechanisms over significant physical distances. Of all the identified sites, 71% harbored putative full estrogen response elements (EREs), 25% bore ERE half sites, and only 4% had no recognizable ERE sequences. Genes in the vicinity of ERalpha binding sites were enriched for regulation by estradiol in MCF-7 cells, and their expression profiles in patient samples segregate ERalpha-positive from ERalpha-negative breast tumors. The expression dynamics of the genes adjacent to ERalpha binding sites suggest a direct induction of gene expression through binding to ERE-like sequences, whereas transcriptional repression by ERalpha appears to be through indirect mechanisms. Our analysis also indicates a number of candidate transcription factor binding sites adjacent to occupied EREs at frequencies much greater than by chance, including the previously reported FOXA1 sites, and demonstrate the potential involvement of one such putative adjacent factor, Sp1, in the global regulation of ERalpha target genes. Unexpectedly, we found that only 22%-24% of the bona fide human ERalpha binding sites were overlapping conserved regions in whole genome vertebrate alignments, which suggest limited conservation of functional binding sites. Taken together, this genome-scale analysis suggests complex but definable rules governing ERalpha binding and gene regulation.
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Cites
Gene expression profiling predicts clinical outcome of breast cancer
van 't Veer, L. J., Dai, H., van de Vijver, M. J., He, Y. D., Hart, A. A. M., Mao, M., Peterse, H. L., van der Kooy, K., Marton, M. J., Witteveen, A. T., et al. (2002) · Nature · doi:10.1038/415530a · Cited by 9,536
Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes
Siepel, A., Bejerano, G., Pedersen, J. S., Hinrichs, A. S., Hou, M., Rosenbloom, K., Clawson, H., Spieth, J., Hillier, L. W., Richards, S., et al. (2005) · Genome Research · doi:10.1101/gr.3715005 · Cited by 3,971 · cited 2×
“PhastCons scores are base-by-base values between 0 and 1 that give a measure of evolutionary conservation in eight vertebrate genomes (human, chimp, mouse, rat, dog, chick, fugu, and zebrafish) based on a phylogenetic hidden Markov model, phastCons [24], and Multiz alignments [46].”
BackgroundA Global Map of p53 Transcription-Factor Binding Sites in the Human Genome
Wei, C.-L., Wu, Q., Vega, V. B., Chiu, K. P., Ng, P., Zhang, T., Shahab, A., Yong, H. C., Fu, Y., Weng, Z., et al. (2006) · Cell · doi:10.1016/j.cell.2005.10.043 · Cited by 1,141
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Cited by
Causal analysis approaches in Ingenuity Pathway Analysis
Krämer, A., Green, J., Pollard, J., & Tugendreich, S. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt703 · Cited by 5,724
Enrichment Map: A Network-Based Method for Gene-Set Enrichment Visualization and Interpretation
Merico, D., Isserlin, R., Stueker, O., Emili, A., & Bader, G. D. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013984 · Cited by 2,235
Pioneer transcription factors: establishing competence for gene expression
Zaret, K. S., & Carroll, J. S. (2011) · Genes & Development · doi:10.1101/gad.176826.111 · Cited by 1,589
FoxA1 Translates Epigenetic Signatures into Enhancer-Driven Lineage-Specific Transcription
Lupien, M., Eeckhoute, J., Meyer, C. A., Wang, Q., Zhang, Y., Li, W., Carroll, J. S., Liu, X. S., & Brown, M. (2008) · Cell · doi:10.1016/j.cell.2008.01.018 · Cited by 983
Shanle, E. K., & Xu, W. (2011) · Chemical Research in Toxicology · doi:10.1021/tx100231n · Cited by 522
Metadata
- Authors
- Lin, C.-Y., Vega, V. B., Thomsen, J. S., Zhang, T., Kong, S. L., Xie, M., Chiu, K. P., Lipovich, L., Barnett, D. H., Stossi, F., Yeo, A., George, J., Kuznetsov, V. A., Lee, Y. K., Charn, T. H., Palanisamy, N., Miller, L. D., Cheung, E., Katzenellenbogen, B. S., Ruan, Y., Bourque, G., Wei, C.-L., & Liu, E. T.
- Venue
- PLoS Genetics
- Publisher
- Public Library of Science (PLoS)
- Published
- 2007-06-01
- Volume
- 3
- Issue
- 6
- Pages
- e87
- ISSN
- 1553-7390 (ISSN-L)
- 1553-7404
- OpenAlex
- W2149680578
- Cited by
- 459
- References
- 3
- FWCI
- 27.97
- Type
- journal article
- Language
- en
- Open access
- gold
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- Lin, C.-Y., Vega, V. B., Thomsen, J. S., Zhang, T., Kong, S. L., Xie, M., Chiu, K. P., Lipovich, L., Barnett, D. H., Stossi, F., Yeo, A., George, J., Kuznetsov, V. A., Lee, Y. K., Charn, T. H., Palanisamy, N., Miller, L. D., Cheung, E., Katzenellenbogen, B. S., . . . Liu, E. T. (2007). Whole-Genome Cartography of Estrogen Receptor α Binding Sites. PLoS Genetics. https://doi.org/10.1371/journal.pgen.0030087
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