Breast Cancer Profiling Project - Proteomics 2: 1 phosphoproteome dataset (including phosphotyrosine enrichment) for a 35-cell line breast cancer panel under basal conditions
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ABSTRACT:
SUBMITTER: Caitlin E. Mills, Marc Hafner, Kartik Subramanian
Project description:Breast cancers enriched for the triple negative breast cancer phenotype with extensive clinico-pathological features were profiled to establish their comprehensive transcriptional profiles
Project description:Metastatic lesions are typically not found until patients self-report symptoms or they become radiologically evident. We have developed an engineered metastatic niche (scaffold) that recruits aggressive tumor cells prior to their colonization in other organs. The engineered niche can be monitored for dynamic gene expression, and changes at this site are analogous to those in a native metastatic site (lung) for triple negative breast cancer (4T1 cells). We were able to develop a 10-gene signature from the scaffold that accurately monitors disease progression and recurrence or resistance to resection therapy. This data set acts to dissect the heterogeneity of the cell populations in the engineered and native metastatic niche and identify the cell types that contribute to the success of the signature.
Project description:The goal of the experiment was to demonstrate if the overexpression of human-Prune-1 in Triple Negative breast cancer cells induces M2-polarization of macrophages in vitro. For this purpose, murine primary cells from breast tumor developed by Genetically Engineered Mouse Models (GEMMs) of TNBC (i.e., MMTV-Wnt1) and metastatic TNBC overexpressing both human Prune-1 and Wnt1 in mammary gland (i.e., MMTV-Prune-1/Wnt1) were obtained. Conditioned media were collected from these primary cells (1x106 cells) after 24 hours. Murine macrophages (J774A.1 and Raw264.7; 1x106) were starved for six hours and then grown for 48 hours in those conditioned media collected from MMTV-Wnt1 and MMTV-Prune-1/Wnt1 cells. Untreated macrophages were used as negative control for the experiment.
Project description:In previous studies, we identified a distantly related rhomboid homologue gene known as RHBDD2 (Rhomboid domain containing 2) to be markedly overexpressed in the advanced stages of the breast and colorectal cancer diseases. In order to identify RHBDD2 modulated pathways, we analyzed two breast cancer cell lines (MCF7 and T47D) from control and RHBDD2-siRNA transient gene silencing followed by gene expression profiling analysis using the whole genome Toray 3D-GeneTM Human Oligo Chip. Statistical analysis of the Toray's 3D gene expression profiling data identified 566 commonly differentially expressed genes in association to the RHBDD2 knockdown in both breast cancer cell lines. Among the statistically significant over-represented biological process, we found the apoptosis, cell cycle and response to DNA damage process related genes. In addition, categories of genes found in the ubiquitin-proteasome and oxidative phosphorylation were also highly enriched related genes in the commonly deregulated gene list. We further used a lentivirus-based system (shRNA-pLKO.1) for stable silencing of RHBDD2 mRNA in the T47D breast cancer cell line. Using a staurosporine-induced apoptosis model, we demonstrate that RHBDD2 abrogation resulted in an apoptosis-resistant phenotype of T47D breast cancer cell line. These data are in line with a recent study, suggesting that RHBDD2 expression could be up-modulated in response to 5FU-induced apoptosis in colorectal cancer cells. Taken together, these data suggest that RHBDD2 could be involved in the modulation of the programmed cell death in cancer cells. In order to analyze differential gene expression profiling of RHBDD2 silencing and control cells, total RNA was isolated from replicate experiments from two breast cancer cell lines (MCF7 and T47D) derived from the negative control-siRNA and the RHBDD2-siRNA treatments in duplicate experiments.
Project description:Triple-negative breast cancer represents approximately 15–20% of all reported breast cancer cases, and is characterized by a shorter survival time and higher mortality rates compared to other breast cancer sub-types. Tumor microenvironment (TME) refers to the internal and external environment of tumor tissue. Increasing evidence indicates that a tumor’s microenvironment is tightly associated with the immunological surveillance and defense during the development of breast cancer. Although oncology studies employing digital dissection methodologies have provided some insight on the biological features of TME, the development of methods to investigate the cellular composition of the tumor microenvironment remain an important research priority. In this study, we extracted whole transcriptome from 30 Triple-negative breast cancer (TNBC) patients and then used bioinformatics approaches to characterize cell type content in tumor tissue compared with para-cancerous tissue. We identified 4 types of enriched immune cells and 6 types of downregulated immune cells in the tumor tissue samples. After comprehensive bioinformatics analyses, we developed an ‘immune infiltration score’ (IIS) to quantitatively model immune cell infiltration in TNBC. To demonstrate the utility of the IIS, we used 2 independent datasets for validation. We found that patients with a higher IIS showing a longer progression-free survival time and significantly better prognosis than those with a lower IIS value. In sum, we explored the immune infiltration landscape in 30 TNBC patients and provided a novel and reliable biomarker IIS to evaluate the progression-free survival and prognosis in the TNBC patients.
Project description:Here we obtained the proteotypes of 76 breast cancer cell lines using pressure cycling technology (PCT) and SWATH mass spectrometry.
Project description:This experiment is performed to reveal the novel binding sites of ZEB1 transcription factor globally in triple negative breast cancer cell line Hs578T. We also reveal the effect of TGF cytokine on the binding sites of ZEB1.