Project description:We cultured htertHME, HME2, PCS600010, and MCF10A cells in decellularized ECM scaffolds generated by BJ fibroblasts or on an uncoated, plastic cell culture dish (Unc) to analyze the potential effects of ECM signalling breast cancer development. Total RNA was extracted from cells using TRIzol (Invitrogen) and purified using Direct-zol RNA mini kit (Zymo Research) with DNase I treatment. After RNA purification, samples were confirmed to have a RIN value > 9.0 when measured on an Agilent Bioanalyzer. Libraries for RNA-Seq were prepared with KAPA Stranded RNA-Seq Kit. The workflow consisted of mRNA enrichment, cDNA generation, end repair to generate blunt ends, A-tailing, adaptor ligation and 12 cycles of PCR amplification. Unique adaptors were used for each sample in order to multiplex samples into several lanes. Sequencing was performed on Illumina Hiseq 3000/4000 with a 150bp pair-end run. A data quality check was done on Illumina SAV. Demultiplexing was performed with Illumina Bcl2fastq2 v 2.17 program.
Project description:A critical step in metastasis is cancer cell dissemination. Dissemination and metastasis are associated with specific genetic changes and changes in extracellular matrix (ECM), but how these changes interact to enable dissemination remains unclear. Here we tested the importance of ECM to dissemination in both normal and malignant mammary epithelium. By time-lapse imaging, we observed collective invasion and dissemination directly in 3D culture. Our results reveal that the pattern of epithelial migration and local dissemination are constrained by the local ECM microenvironment. To identify RNA expression changes that could regulate these changes in cell behavior, we conducted whole genome RNA expression profiling from normal and malignant mammary epithelium in 3D culture. We collected RNA from normal and malignant epithelium during active growth at 4 days in culture in either Matrigel or collagen I. We hybridized the resulting RNA to Agilent single color microarrays with a minimum of three biologically independent microarray replicates per condition. We observed significant gene expression differences between normal and malignant epithelium, even when cultured in the same ECM. In contrast, the ECM microenvironment had a relatively small impact on RNA expression, despite its large effects on migratory strategy and local dissemination.
Project description:A critical step in metastasis is cancer cell dissemination. Dissemination and metastasis are associated with specific genetic changes and changes in extracellular matrix (ECM), but how these changes interact to enable dissemination remains unclear. Here we tested the importance of ECM to dissemination in both normal and malignant mammary epithelium. By time-lapse imaging, we observed collective invasion and dissemination directly in 3D culture. Our results reveal that the pattern of epithelial migration and local dissemination are constrained by the local ECM microenvironment. To identify RNA expression changes that could regulate these changes in cell behavior, we conducted whole genome RNA expression profiling from normal and malignant mammary epithelium in 3D culture. We collected RNA from normal and malignant epithelium during active growth at 4 days in culture in either Matrigel or collagen I. We hybridized the resulting RNA to Agilent single color microarrays with a minimum of three biologically independent microarray replicates per condition. We observed significant gene expression differences between normal and malignant epithelium, even when cultured in the same ECM. In contrast, the ECM microenvironment had a relatively small impact on RNA expression, despite its large effects on migratory strategy and local dissemination. Gene expression was measured in normal and malignant mammary epithelial fragments cultured in one of two 3D matrices (laminin-rich basement membrane gel or collagen I) and collected at day 4, which we observed to have peak invasion and dissemination. At least three independent experiments were performed at each time using different mice for each experiment.
Project description:Secreted proteins and transmembrane proteins with extracellular domains are frequently glycosylated; this group of proteins includes those that participate in the various intercellular junctions and signaling pathways of an epithelium. In this study we characterized the differences in glycoprotein expression between claudin-low and other breast cell lines using a dataset of 26 breast cell lines in which the glycoproteins were identified and quantitated by liquid chromatography/ tandem mass spectrometry. Our goals are to characterize the glycoproteome of a set of claudin-low lines, compare them to basal, luminal and non-malignant cells and to identify drugs that may be especially effective on these cell lines. These five non-malignant breast cells (3 normal from 3 donors: HMEpC-p3, HMEC-p10 and HMEC#3-P11; 2 benign: MCF10A and MCF12A) data are a part of 26 breast cell lines we analyzed.
Project description:The molecular basis of breast cancer invasion and metastasis is not well understood. Our objective was to analyze transcriptome differences between stromal and epithelial cells in normal breast tissue and invasive breast cancer to define the role stroma plays in invasion. Total RNA was isolated from epithelial and stromal cells that were laser captured from normal breast tissue (n=5) and invasive breast cancer (n=28). Gene expression was measured using Affymetrix U133A 2.0 GeneChips. Differential gene expression was evaluated and compared within a model that accounted for cell type (epithelial [E] versus stromal [S]), diagnosis (cancer [C] versus normal [N]) as well as cell type-diagnosis interactions. Compared to NE, the CE transcriptome was highly enriched with genes in proliferative, motility and ECM ontologies. Differences in CS and NS transcriptomes suggested that the ECM was being remodeled in invasive breast cancer, as genes were over-represented in ECM and proteolysis ontologies. Genes more highly expressed in CS compared to CE were primarily ECM components or were involved in the remodeling of ECM, suggesting that ECM biosynthesis and remodeling were initiated in the tumor stromal compartment. Keywords: cell type comparison, disease state analysis
Project description:The cell-type origin has long been suspected to determine molecular features of tumors but has proven difficult to experimentally validate in human breast cancers because of deficiencies in culturing methods that allow propagation of three major cell types of the breast including stem/basal, luminal-progenitor and mature/differentiated cells. We have created immortalized cell lines from core breast biopsies of ancestry-mapped healthy women that are enriched for luminal gene expression including hormonally sensitive ERa-FOXA1-GATA3 transcription factor network. Gene expression pattern followed by intrinsic subtype classification identified these cell lines as “normal” counterpart to luminal A, basal, and normal-like subtypes of breast cancers. We have also created cell lines from CD201+/EpCAM- cells that are likely “normal” counter part of claudin-low subtype of breast cancers. These cell lines serve as good resources as “normal” cell line controls for breast cancer-related studies.
Project description:The primary goal of this study was to assess differences in gene expression between prostate cancer cell lines and normal prostate epithelial and stromal cells in primary culture.
Project description:Type I, II, III and V collagens were commonly identified in human, pig, and mouse breast ECM. Mammary epithelial cells were able to form acini on certain types or combinations of the four collagens at normal breast tissue stiffness levels. Comparison of the collagen species in mouse normal breast and breast tumor ECM revealed common and distinct sets of collagens within the two types of tissues. Elevated collagen type I alpha 1 chain expression was found in human breast cancers. Collagen type XXV alpha 1 chain was identified in mouse breast tumors but not in normal breast tissues. Our data provide insights into modeling human breast pathophysiological structures and functions using native tissue-derived hydrogels and potential contributions of different collagen types or their monomers in breast cancer development.