Project description:Estrogen-responsive genes were identified by transcript profiling of estrogen-treated MCF-7 breast cancer cells. The gene expression profile generated after estrogen treatment was compared with that following inducible expression of c-Myc or c-Zip (a deletion mutant of c-Myc that lacks the N-terminal transactivation domains) in clonal MCF-7 cell lines. Keywords: Single time point
Project description:Estrogen-responsive genes were identified by transcript profiling of estrogen-treated MCF-7 breast cancer cells. The gene expression profile generated after estrogen treatment was compared with that following inducible expression of c-Myc or c-Zip (a deletion mutant of c-Myc that lacks the N-terminal transactivation domains) in clonal MCF-7 cell lines. Experiment Overall Design: RNA was collected in three independent experiments, each including parental MCF-7 cells treated with 17b-estradiol (E2) or ethanol (EtOH), zinc-treated p-delta-MT-c-Myc cells, zinc-treated p-delta-MT-c-Zip cells and zinc-treated empty vector (p-delta-MT) cells. Cells were arrested for 48 h with 10 nM ICI 182780 and then treated for 6 h with either 100 nM E2 or ethanol vehicle, or 75 mM zinc for the stably transfected cell lines.
Project description:To understand the regulatory landscape of oncogene c-Myc in breast cancer, two epigenetic hallmarks of open chromatin, consisting of H3K4me1 and H3K27ac, were investigated by ChIP-seq in distinct types of human breast cancer cells (estrogen receptor positive MCF-7 and triple-negative MDA-MB-231), respectively. By visualizing the ChIP-seq at c-Myc locus, we noticed that the H3K4me1 and H3K27ac signals were enriched remarkably upstream ~65 kb of c-Myc in MCF-7 cells but not in MDA-MB-231 cells. The results indicated that c-Myc may be regulted by an enhancer located upstream ~65 kb.
Project description:To examine the role of PSF and NONO in estrogen-dependent breast cancer, MCF-7 cells were treated with siRNA targeting PSF, NONO or control siRNA (siControl). Microarray analysis revealed PSF- or NONO-regulated genes in MCF-7 cells.
Project description:Estrogen deprivation using aromatase inhibitors is currently the standard of care for patients with estrogen-receptor (ER)-positive breast cancer. Unfortunately, prolonged estrogen deprivation leads to drug resistance (i.e. hormone-independent growth). We therefore used DNA microarray analysis to study the gene expression profiles of wild-type MCF-7 cells (which are sensitive to antihormone therapy) and long-term estrogen deprived MCF-7:5C and MCF-7:2A breast cancer cells (which are resistance to estrogen-deprivation; aromatase inhibitor resistant). Transcriptional profiling of wild-type MCF-7 cells and estrogen deprived MCF-7:5C and MCF-7:2A cells was performed using Affymetrix Human Genome U133 Plus 2.0 Array. Keywords: breast cancer cells, estrogen
Project description:Estrogen receptor-α (ERα) is an important driver of breast cancer and is the target for hormonal therapies, anti-estrogens and drugs that limit estrogen biosynthesis (aromatase inhibitors). Mutations in the ESR1 gene identified in metastatic breast cancer provide a potential mechanism for acquired resistance to hormone therapies. We have used CRISPR-Cas9 mediated genome editing in the MCF-7 breast cancer cell line, generating MCF-7-Y537S. MCF-7-Y537S cells encode a wild-type (tyrosine 537) and a mutant (serine 537) allele. Growth of the line is estrogen-independent and expression of ERα target genes is elevated in the absence of estrogen. ER ChIP-seq was carried out to map global ERα binding sites in the presence and absence of estrogen. RNA-seq following estrogen treatment was used for gene expression analysis. We show that expression of ER target genes and ER recruitment to ER binding regions is similar in MCF-7 and MCF-7-Y537S cells, except that ER recruitment to DNA and expression of ER target genes is frequently elevated in the absence of estrogen.
Project description:Estrogen receptor-α (ERα) is an important driver of breast cancer and is the target for hormonal therapies, anti-estrogens and drugs that limit estrogen biosynthesis (aromatase inhibitors). Mutations in the ESR1 gene identified in metastatic breast cancer provide a potential mechanism for acquired resistance to hormone therapies. We have used CRISPR-Cas9 mediated genome editing in the MCF-7 breast cancer cell line, generating MCF-7-Y537S. MCF-7-Y537S cells encode a wild-type (tyrosine 537) and a mutant (serine 537) allele. Growth of the line is estrogen-independent and expression of ERα target genes is elevated in the absence of estrogen. ER ChIP-seq was carried out to map global ERα binding sites in the presence and absence of estrogen. RNA-seq following estrogen treatment was used for gene expression analysis. We show that expression of ER target genes and ER recruitment to ER binding regions is similar in MCF-7 and MCF-7-Y537S cells, except that ER recruitment to DNA and expression of ER target genes is frequently elevated in the absence of estrogen
Project description:Estrogen receptor-α (ERα) is an important driver of breast cancer and is the target for hormonal therapies, anti-estrogens and drugs that limit estrogen biosynthesis (aromatase inhibitors). Mutations in the ESR1 gene identified in metastatic breast cancer provide a potential mechanism for acquired resistance to hormone therapies. We have used CRISPR-Cas9 mediated genome editing in the MCF-7 breast cancer cell line, generating MCF-7-Y537S. MCF-7-Y537S cells encode a wild-type (tyrosine 537) and a mutant (serine 537) allele. Growth of the line is estrogen-independent and expression of ERα target genes is elevated in the absence of estrogen. ER ChIP-seq was carried out to map global ERα binding sites in the presence and absence of estrogen. RNA-seq following estrogen treatment was used for gene expression analysis. We show that expression of ER target genes and ER recruitment to ER binding regions is similar in MCF-7 and MCF-7-Y537S cells, except that ER recruitment to DNA and expression of ER target genes is frequently elevated in the absence of estrogen Hormone depleted MCF-7 LUC /Y537S mutant cells were treated with estrogen (10nM) or ETOH as vehicle control for 45 mins. Erα Chip-seq was performed using Illumnia methodology
Project description:Estrogen receptor-mediated proliferation of breast cancer cells is facilitated through expression of multiple primary target genes, products of which induce the secondary response to stimulation. To differentiate between the primary and secondary target genes of estrogen receptor signaling, we measured dynamics of protein expression induced by estradiol in MCF-7 breast cancer cells. Measurement of the global proteomic effects of estradiol by SILAC resulted in identification of 104 estradiol-regulated proteins, with only 41 corresponding genes having estrogen response elements (EREs). Selected reaction monitoring assays were used to validate 32 proteins and measure the dynamics of their expression within 72 hours upon estradiol stimulation and in the presence of 4-hydroxytamoxifen, thus confirming estrogen receptor-mediated signaling. Dynamics of protein expression revealed immediate early response proteins including TFF1 and CDK1 and delayed response proteins including CDK2 and NAB2. Presence or absence of EREs in the corresponding genes indicated early or delayed expression of proteins identified by SILAC. Finally, we measured accurate dynamics of estradiol-induced protein expression in the sub-network of primary and secondary targets of estrogen receptor. Interestingly, since NAB2 protein is also a repressor of EGR3-induced transcription, siRNA-mediated silencing of NAB2 resulted in the over-expression of some EGR3-induced proteins, such as ITGA2. To conclude, quantitative proteomics revealed secondary targets of estrogen receptor signaling potentially overlooked by genome-wide profiling of EREs and provided dynamics of protein expression in the network of transcription factors with a negative feedback loop.
Project description:Mufudza2012 - Estrogen effect on the dynamics
of breast cancer
This deterministic model shows the
dynamics of breast cancer with immune response. The effects of
estrogen are incorporated to study its effects as a risk factor for
the disease.
This model is described in the article:
Assessing the effects of
estrogen on the dynamics of breast cancer.
Mufudza C, Sorofa W, Chiyaka
ET.
Comput Math Methods Med 2012; 2012:
473572
Abstract:
Worldwide, breast cancer has become the second most common
cancer in women. The disease has currently been named the most
deadly cancer in women but little is known on what causes the
disease. We present the effects of estrogen as a risk factor on
the dynamics of breast cancer. We develop a deterministic
mathematical model showing general dynamics of breast cancer
with immune response. This is a four-population model that
includes tumor cells, host cells, immune cells, and estrogen.
The effects of estrogen are then incorporated in the model. The
results show that the presence of extra estrogen increases the
risk of developing breast cancer.
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BIOMD0000000642.
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