Project description:Gene expression analysis of MEL-18-silenced MCF7 cell lines. MEL-18 is a component of the polycomb repressive complex (PRC)-1, which is a critical epigenetic modulator of stem cell regulation and normal and cancerous development. Accumulating studies have suggested that MEL-18 might act as a tumor suppressor in several human tumors, including breast cancer. Results provide insight into the functional role of MEL-18 in estrogen-dependent breast cancer.
Project description:Gene expression analysis of MEL-18-silenced MCF7 cell lines. MEL-18 is a component of the polycomb repressive complex (PRC)-1, which is a critical epigenetic modulator of stem cell regulation and normal and cancerous development. Accumulating studies have suggested that MEL-18 might act as a tumor suppressor in several human tumors, including breast cancer. Results provide insight into the functional role of MEL-18 in estrogen-dependent breast cancer. MCF7 cells stably infected with lentiviruses encoding either control (shCon) or MEL-18 shRNA (shMEL) were cultured in phenol-red free DMEM supplemented with 10% FBS for 48 h. Total RNA was isolated from the cultures using Trizol reagent. For each of the 2 conditions, 2 biological replicates were included. In total, 4 microarray samples were analyzed; 2 controls and 2 shRNA MEL-18 knockdowns. All labeling, hybridization and scanning steps were performed according to the manufacturers’ instructions.
Project description:Gene expression analysis on MEL-18-knockdown BT474 cells. MEL-18, a polycomb group protein and a member of the polycomb repressive complex 1 (PRC1), have suggested as a tumor suppressor in several cancer, including breast cancer. The results provides that the depletion of MEL-18 in HER2-positive breast cancer causes the activation of ErbB signaling pathway. We proposed that MEL-18 is a novel prognostic and therapeutic marker for HER2-positive breast cancer.
Project description:RNA-sequencing analysis of MEL-18 WT- or MEL-18 T334A-overexpressing MDA-MB-231 cell lines. MEL-18, a core component of polycomb-repressive complex (PRC)-1, has been known to be phosphorylated at multiple residues in vitro; however, its functional roles in mammalian cells and human cancer remains largely unknown. Here, we examined the effect of MEL-18 phosphorylation at T334 site on polycomb-mediated epigenetic silencing in human breast cancer. Our results demonstrated that the phosphorylation of MEL-18 at T334 alters its genomic distribution and transcriptional activity that reflects functional change of MEL-18 in modulating breast tumour progression.
Project description:ChIP-seq analysis of MEL-18 WT- or MEL-18 T334A-overexpressing MDA-MB-231 cell lines. MEL-18, a core component of polycomb-repressive complex (PRC)-1, has been known to be phosphorylated at multiple residues in vitro; however, its functional roles in mammalian cells and human cancer remains largely unknown. Here, we examined the effect of MEL-18 phosphorylation at T334 site on polycomb-mediated epigenetic silencing in human breast cancer. Our results demonstrated that the phosphorylation of MEL-18 at T334 alters its genomic distribution and transcriptional activity that reflects functional change of MEL-18 in modulating breast tumour progression.
Project description:Catechol-O-methyl transferase (COMT) is involved in detoxification of catechol estrogens, playing cancer-protective role in cells producing or utilizing estrogen. Moreover, COMT suppressed migration potential of breast cancer cells. To delineate COMT role in metastasis of estrogen receptor dependent BC, we investigated the effect of COMT overexpression on invasion, transcriptome, proteome and interactome of MCF7 cells, a luminal A breast cancer model, stably transduced with lentiviral vector carrying COMT gene (MCF7-COMT). This PRIDE project includes quantitative analysis results for the total proteome LC-DIA-MS/MS experiment evaluating COMT overexpression in MCF7 breast cancer cell line, and results of pulldown analysis of COMT-interacting proteins in MCF7 cells.
Project description:To investigate molecular mechanisms of resistance, we used two different in vivo xenograft models of estrogen receptor-positive (ER+) breast cancer, with or without HER2 over-expression (MCF7/HER2-18 and MCF7 wt, respectively). Mice with established tumors were assigned to the following treatment groups: continued estrogen supplementation (E2), estrogen deprivation (ED), ED plus tamoxifen (Tam), all with or without the EGFR tyrosine kinase inhibitor gefinitinib (G). Another group received ED plus the antiestrogen fulvestrant (MCF7 wt only). Tumors with acquired or de novo resistance to these endocrine therapies were profiled for mRNA expression using Affymetrix Genechip arrays. Keywords: multiple group comparison
Project description:To investigate molecular mechanisms of resistance, we used two different in vivo xenograft models of estrogen receptor-positive (ER+) breast cancer, with or without HER2 over-expression (MCF7/HER2-18 and MCF7 wt, respectively). Mice with established tumors were assigned to the following treatment groups: continued estrogen supplementation (E2), estrogen deprivation (ED), ED plus tamoxifen (Tam), all with or without the EGFR tyrosine kinase inhibitor gefinitinib (G). Another group received ED plus the antiestrogen fulvestrant (MCF7 wt only). Tumors with acquired or de novo resistance to these endocrine therapies were profiled for mRNA expression using Affymetrix Genechip arrays. Keywords: multiple group comparison
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.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000642.
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