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 P. Nephew, Lang Li

Producción científica: Conference contribution

Resumen

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.

Idioma originalEnglish (US)
Título de la publicación alojadaProceedings 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11
Páginas5-8
Número de páginas4
EstadoPublished - 2011
Publicado de forma externa
Evento2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11 - San Antonio, TX, United States
Duración: dic 4 2011dic 6 2011

Serie de la publicación

NombreProceedings - IEEE International Workshop on Genomic Signal Processing and Statistics
ISSN (versión impresa)2150-3001
ISSN (versión digital)2150-301X

Other

Other2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11
País/TerritorioUnited States
CiudadSan Antonio, TX
Período12/4/1112/6/11

ASJC Scopus subject areas

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

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