Transcription profiling of human cell line and tumour breast cancer samples - functional ER alpha transcriptional regulatory network for cell cycle in an ER(+) breast cancer subgroup

ABSTRACT: To better characterize group IE like human breast cancer based on the gene profiles of estrogen actions through estrogen receptor alpha (ER alpha), we identified an ER alpha transcriptional regulatory network for cell cycle in silico. We used two datasets from cell line (Data 1) and clinical samples (Data 2), respectively. Analyses on Data 1 via trajectory clustering and Pathway-Express confirmed the significant estrogen effect on up-regulating cell cycle activities. The gene expression relationships between ER alpha and cell cycle genes were re-identified in Data 2 by three statistical methods – Galton-Pearson’s correlation coefficient, Student’s t-test and the coefficient of intrinsic dependence. They were mostly (56.09%)(46/82) re-confirmed by literature search. E2F1 was found to be th

ORGANISM(S): Homo sapiens

SUBMITTER: Hsieh Fon-Jou 

PROVIDER: S-ECPF-GEOD-17040 | biostudies-other |

REPOSITORIES: biostudies-other