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BMCBI
2008

Integrative bioinformatics analysis of transcriptional regulatory programs in breast cancer cells

14 years 17 days ago
Integrative bioinformatics analysis of transcriptional regulatory programs in breast cancer cells
Background: Microarray technology has unveiled transcriptomic differences among tumors of various phenotypes, and, especially, brought great progress in molecular understanding of phenotypic diversity of breast tumors. However, compared with the massive knowledge about the transcriptome, we have surprisingly little knowledge about regulatory mechanisms underling transcriptomic diversity. Results: To gain insights into the transcriptional programs that drive tumor progression, we integrated regulatory sequence data and expression profiles of breast cancer into a Bayesian Network, and searched for cis-regulatory motifs statistically associated with given histological grades and prognosis. Our analysis found that motifs bound by ELK1, E2F, NRF1 and NFY are potential regulatory motifs that positively correlate with malignant progression of breast cancer. Conclusion: The results suggest that these 4 motifs are principal regulatory motifs driving malignant progression of breast cancer. Our ...
Atsushi Niida, Andrew D. Smith, Seiya Imoto, Shuic
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2008
Where BMCBI
Authors Atsushi Niida, Andrew D. Smith, Seiya Imoto, Shuichi Tsutsumi, Hiroyuki Aburatani, Michael Q. Zhang, Tetsu Akiyama
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