In Silico discovery of transcription factors as potential diagnostic biomarkers of ovarian cancer.

Citation data:

BMC systems biology, ISSN: 1752-0509, Vol: 5, Issue: 1, Page: 144

Publication Year:
2011
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Repository URL:
http://hdl.handle.net/10754/325266
PMID:
21923952
DOI:
10.1186/1752-0509-5-144
PMCID:
PMC3184078; 3184078
Author(s):
Kaur, Mandeep; MacPherson, Cameron R; Schmeier, Sebastian; Narasimhan, Kothandaraman; Choolani, Mahesh; Bajic, Vladimir B.
Publisher(s):
Springer Nature; BioMed Central
Tags:
Biochemistry, Genetics and Molecular Biology; Mathematics; Computer Science; diagnostic agent; estrogen; transcription factor; tumor marker; binding site; biology; drug effect; evaluation; gene expression regulation; genetics; metabolism; methodology; ovary tumor; physiology; promoter region; tumor gene; Binding Sites; Computational Biology; Estrogens; Gene Expression Regulation, Neoplastic; Genes, Neoplasm; Ovarian Neoplasms; Promoter Regions, Genetic; Transcription Factors; Tumor Markers, Biological
article description
Our study focuses on identifying potential biomarkers for diagnosis and early detection of ovarian cancer (OC) through the study of transcription regulation of genes affected by estrogen hormone.