Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcriptional profiling of clinically relevant SERMs and SERM/estradiol complexes in a cellular model of breast cancer

ABSTRACT: In this study, we have utilized microarray analysis to directly compare a subset of structurally distinct, clinically relevant SERMs in the presence and absence of estradiol, using a high replicate number (10) to ensure detection of modestly regulated genes. Tested compounds included 4-hydroxytamoxifen, ICI-182,780, Raloxifene, Bazedoxifene and Lasofoxifene. MCF-7 cells were treates with indicated SERMs in the presence of E2 or vehicle; RNA was isolated and used for preparation of label for 3' expression analysis.

ORGANISM(S): Homo sapiens

SUBMITTER: Dmitri Kazmin

PROVIDER: E-GEOD-35428 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Research resource: Transcriptional profiling in a cellular model of breast cancer reveals functional and mechanistic differences between clinically relevant SERM and between SERM/estrogen complexes.

Wardell Suzanne E SE Kazmin Dmitri D McDonnell Donald P DP

Molecular endocrinology (Baltimore, Md.) 20120508 7

Exploitation of the relationship between estrogen receptor (ER) structure and activity has led to the development of 1) selective ER modulators (SERM), compounds whose relative agonist/antagonist activities differ between target tissues; 2) selective ER degraders (SERD), compounds that induce a conformational change in the receptor that targets it for proteasomal degradation; and 3) tissue-selective estrogen complexes (TSEC), drugs in which a SERM and an ER agonist are combined to yield a blende ...[more]

PMID: 22570330

Similar Datasets

Project description:E2 exposure significantly decreased peak viral titer in hNECs from female donors. We used microarray analyses to identify global gene expression patterns between E2 and vehicle exposed hNECs from female donors Influenza causes an acute infection characterized by virus replication in respiratory epithelial cells. The severity of influenza and other respiratory diseases changes over the life course and during pregnancy in women, suggesting that sex steroid hormones, such as estrogens, may be involved. Using primary, differentiated human nasal epithelial cell (hNEC) cultures from adult male and female donors, we exposed cultures to the endogenous 17Î²-estradiol (E2) or select estrogen receptor modulators (SERMs), then infected cultures with a seasonal influenza A virus (IAV) to determine whether estrogenic signaling could affect the outcome of IAV infection and whether these effects where sex-dependent. Estradiol, raloxifene, and bisphenol A decreased IAV titers in hNECs from female, but not male, donors. The estrogenic decrease in viral titer was dependent on the genomic estrogen receptor- 2 (ESR2) as neither genomic ESR1 nor non- genomic GPR30 were expressed in hNEC cultures and addition of the genomic ER antagonist ICI 182,780 reversed the antiviral effects of E2. Treatment of hNECs with E2 had no effect on interferon or chemokine secretion, but significantly downregulated cell metabolic processes, including genes that encode for zinc finger proteins, many of which contain estrogen response elements in their promoters. These data provide novel insights into the cellular and molecular mechanisms of how natural and synthetic estrogens impact IAV infection in respiratory epithelial cells derived from humans. Primary human nasal epithelial cells from females were exposed to E2 for 24h prior to infection, then infected with an H3N2 strain of influenza a virus for 2 hours. At 24 and 48h post infection, hNECs were collected in Trizol for RNA extraction and hybridization on Affymetrix Human Gene ST 2.0 microarrays.

Project description:The fallopian tube epithelium is one of the potential sources of high-grade serous ovarian cancer (HGSC). The use of estrogen only hormone replacement therapy increases ovarian cancer risk. Despite estrogenâ??s influence in OVCA, selective estrogen receptor modulators (SERMs) typically demonstrate only a 20% response rate. This low response could be due to a variety of factors including the loss of estrogen receptor signaling or the role of estrogen receptor signaling in different potential cell types of origin. The response of fallopian tube epithelium to SERMs is not known, and would be useful when determining therapeutic options for tumors that arise from this cell type, such as high-grade serous cancer. Using normal murine derived oviductal epithelial cells (mouse equivalent to the fallopian tube) estrogen receptor expression was confirmed and interaction with its ligand, estradiol, triggered mRNA and protein induction of progesterone receptor (PR). The SERMs 4-hydroxytamoxifen, raloxifene and desmethylarzoxifene, functioned as estrogen receptor antagonists in the oviductal cells. Cellular proliferation and migration assays suggested that estradiol does not significantly impact cellular migration and increased proliferation in CD1, but not in FVB derived cell lines. Further, using RNAseq, the oviduct specific transcriptional genes targets of estrogen and 4-hydroxytamoxifen signaling were determined and validated. The RNA-seq revealed enrichment in proliferation, anti-apoptosis, calcium signaling and steroid signaling processes. Finally, the ER and PR receptor status of a panel of HGSC cell lines was investigated highlighting the need for better models of estrogen responsive HGSC cell lines. Murine oviductal epithelial cells from the FVB background were hormone starved for 48 hours (with a media change after 24 hours), then treated in triplicate with solvent control (DMSO) (0.1%), 1 nM 17-betaestradiol or 100 nM 4-hydroxytamoxifen for 24 hours. Following treatment, RNA was was isolated, libraries were prepped and sequenced using the Illumina HiSeq 2500 platform.

Dataset Information

Transcriptional profiling of clinically relevant SERMs and SERM/estradiol complexes in a cellular model of breast cancer

Publications

Research resource: Transcriptional profiling in a cellular model of breast cancer reveals functional and mechanistic differences between clinically relevant SERM and between SERM/estrogen complexes.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure