Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Normal human osteoblasts and Hs578t mono and coculture

ABSTRACT: As a model for investigating changes in gene expression in response to epithelial-osteoblast interactions in bone metastases of breast carcinomas, cells that represented malignant epithelial cell compartments (Hs578T) and cells that represented skeletal compartments (Normal Human (NH) Osteoblasts) were examined in an in vitro mixed co-culture setting. These two types of cells were co-cultivated for 48 h in a low-serum medium [0.2% fetal bovine serum (FBS)] to allow reciprocal signal exchange with minimal background from undefined molecular signals that are inherent in fetal bovine serum. We examined the effects of co-cultivation on each cell pairing in two independent biological replicates. The gene expression profiles of the co-cultures were compared to the expression profiles of the corresponding cells that were kept in monoculture using HEEBO microarrays. After mono or co-culturing, total RNA was extracted and amplified using a modified Eberwine procedure. The amplified RNA was labeled with the fluorescent dye Cy5 and pooled with Cy3 labeled reference RNA, and then the pooled RNA was hybridized onto HEEBO microarrays. After hybridization and washing, arrays were scanned on a fluorescent microscope scanner. An all pairs experiment design type is where all labeled extracts are compared to every other labeled extract.

ORGANISM(S): Homo sapiens

SUBMITTER: Michal Rajski

PROVIDER: E-GEOD-29031 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Global gene expression analysis of the interaction between cancer cells and osteoblasts to predict bone metastasis in breast cancer.

Rajski Michal M Vogel Brigitte B Baty Florent F Rochlitz Christoph C Buess Martin M

PloS one 20120103 1

<h4>Background</h4>Bone metastasis is a main cause of morbidity in breast cancer. Since breast cancer is a heterogeneous disease, the interactions of cancer cells with the skeletal host cells might also be diverse. We hypothesized that gene expression signatures induced by heterotypic interaction of breast cancer cells and osteoblasts might be of clinical relevance.<h4>Methodology/principal findings</h4>We established an ex vivo co-culture model using benign breast epithelial cells or a panel of ...[more]

PMID: 22235336

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Project description:Summary: Breast cancer cell lines have been used widely to investigate breast cancer pathobiology and new therapies. Breast cancer is a molecularly heterogeneous disease, and it is important to understand how well and which cell lines best model that diversity. In particular, microarray studies have identified molecular subtypes (luminal A, luminal B, ERBB2-associated, basal-like and normal-like) with characteristic gene-expression patterns and underlying DNA copy number alterations (CNAs). Here, we studied a collection of breast cancer cell lines to catalog molecular profiles and to assess their relation to breast cancer subtypes. Whole-genome DNA microarrays were used to profile gene expression and CNAs in a collection of 52 widely-used breast cancer cell lines, and comparisons were made to existing profiles of primary breast tumors. Hierarchical clustering was used to identify gene-expression subtypes, and Gene Set Enrichment Analysis (GSEA) to discover biological features of those subtypes. Genomic and transcriptional profiles were integrated to discover within high-amplitude CNAs candidate cancer genes with coordinately altered gene copy number and expression. Transcriptional profiling of breast cancer cell lines identified one luminal and two basal-like (A and B) subtypes. Luminal lines displayed an estrogen receptor (ER) signature and resembled luminal-A/B tumors, basal-A lines were associated with ETS-pathway and BRCA1 signatures and resembled basal-like tumors, and basal-B lines displayed mesenchymal and stem-cell characteristics. Compared to tumors, cell lines exhibited similar patterns of CNA, but an overall higher complexity of CNA (genetically simple luminal-A tumors were not represented), and only partial conservation of subtype-specific CNAs. We identified 80 high-level DNA amplifications and 13 presumptive homozygous deletions, and the resident genes with concomitantly altered gene-expression, highlighting known and novel candidate breast cancer genes. Overall, breast cancer cell lines were genetically more complex than tumors, but retained expression patterns with relevance to the luminal-basal subtype distinction. The compendium of molecular profiles defines cell lines suitable for investigations of subtype-specific pathobiology, biomarkers and therapies, and provides a resource for discovery of new breast cancer genes. HEEBO oligonucleotide microarrays from the Stanford Functional Genomics Facility were used to perform gene expression profiling of 50 human breast epithelial cell lines, in comparison to a universal RNA reference. Expression data were analyzed by hierarchical clustering to identify subgroups, and gene set enrichment analysis to identify subgroup-specific gene pathways.

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Dataset Information

Normal human osteoblasts and Hs578t mono and coculture

Publications

Global gene expression analysis of the interaction between cancer cells and osteoblasts to predict bone metastasis in breast cancer.

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