An ERα/modulator regulatory network in the breast cancer cells

Heng Yi Wu, Yu Wang, P. Zheng, G. Jiang, Yunlong Liu, Tim H M Huang, Kenneth Nephew, Lang Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Estrogens control multiple functions of hormone-responsive breast cancer (BC) cells [1]. They regulate diverse physiological processes in various tissues through genomic and non-genomic mechanisms that result iu activation or repression of gene expression. Transcription regulation upon estrogen stimulation is a critical biological process underlying the onset and progress of the majority of breast cancer [2]. However, ERα requires distinct co-regulator complex or modulators for efficient transcriptional regulation. To have insight into the regulatory network of ERα and discover the novel modulators of ERα which acted by distinct mechanisms, we proposed an analytical method based on a linear regression model to identify translational modulators aud the relationship between genes for network. To comprehend the network associated with ERα, a dynamic gene expression profile and ChIP-Seq data shown to characterize the breast cancer cell response to estrogens are utilized. The role of modulators within molecular mechanism can be learned from the exploration of these two data sets. Based on the active or repressive function of the ERα, active or repressive function of a modulator, and agonist or antagonist effect of a modulator on the ERα, the ERα/modulator/target relationships were categorized into 27 classes.

Original languageEnglish
Title of host publicationProceedings - IEEE International Workshop on Genomic Signal Processing and Statistics
Pages5-8
Number of pages4
StatePublished - 2011
Event2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11 - San Antonio, TX, United States
Duration: Dec 4 2011Dec 6 2011

Other

Other2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11
CountryUnited States
CitySan Antonio, TX
Period12/4/1112/6/11

Fingerprint

Modulators
Estrogens
Cells
Breast Neoplasms
Linear Models
Physiological Phenomena
Biological Phenomena
Gene Regulatory Networks
Transcriptome
Gene expression
Hormones
Gene Expression
Transcription
Linear regression
Genes
Chemical activation
Tissue
Datasets

Keywords

  • Breast cancer
  • ChIP-Seq
  • Estrogen receptor
  • Microarray
  • Modulator
  • Transcription factor

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Computational Theory and Mathematics
  • Signal Processing
  • Biomedical Engineering

Cite this

Wu, H. Y., Wang, Y., Zheng, P., Jiang, G., Liu, Y., Huang, T. H. M., ... Li, L. (2011). An ERα/modulator regulatory network in the breast cancer cells. In Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics (pp. 5-8). [6169427]

An ERα/modulator regulatory network in the breast cancer cells. / Wu, Heng Yi; Wang, Yu; Zheng, P.; Jiang, G.; Liu, Yunlong; Huang, Tim H M; Nephew, Kenneth; Li, Lang.

Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics. 2011. p. 5-8 6169427.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wu, HY, Wang, Y, Zheng, P, Jiang, G, Liu, Y, Huang, THM, Nephew, K & Li, L 2011, An ERα/modulator regulatory network in the breast cancer cells. in Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics., 6169427, pp. 5-8, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11, San Antonio, TX, United States, 12/4/11.
Wu HY, Wang Y, Zheng P, Jiang G, Liu Y, Huang THM et al. An ERα/modulator regulatory network in the breast cancer cells. In Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics. 2011. p. 5-8. 6169427
Wu, Heng Yi ; Wang, Yu ; Zheng, P. ; Jiang, G. ; Liu, Yunlong ; Huang, Tim H M ; Nephew, Kenneth ; Li, Lang. / An ERα/modulator regulatory network in the breast cancer cells. Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics. 2011. pp. 5-8
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