Method for screening ecdysone-inducible stable cell lines

Ecdysone-inducible systems are useful tools to study the function of various genes in different types of mammalian cells. However, it is technically difficult to establish stable cell lines. This is partly because the conditional expression system requires the expression of two or more components driven by different kinds of promoters. In this paper, we describe the use of a luciferase reporter gene system for rapid screening of cell lines that express the ecdysone and retinoid X receptors. Using this system, two human stable colon cancer cell lines, SW480/VgRXR and HCT116/VgRXR, were successfully generated. The expression of these receptors remained high after six months of continuous culturing. A tight regulation of gene induction in SW480/VgRXR was observed using 2 microM Ponasterone A. The gene induction was rapid and persistent. Our results demonstrated the advantage of establishing cell lines that continuously express high levels of ecdysone receptor proteins.     

Estimating the quality of reprogrammed cells using ES cell differentiation expression patterns

Somatic cells can be reprogrammed to a pluripotent state by over-expression of defined factors, and pluripotency has been confirmed by the tetraploid complementation assay. However, especially in human cells, estimating the quality of Induced Pluripotent Stem Cell(iPSC) is still difficult. Here, we present a novel supervised method for the assessment of the quality of iPSCs by estimating the gene expression profile using a 2-D "Differentiation-index coordinate", which consists of two "developing lines" that reflects the directions of ES cell differentiation and the changes of cell states during differentiation. By applying a novel liner model to describe the differentiation trajectory, we transformed the ES cell differentiation time-course expression profiles to linear "developing lines"; and use these lines to construct the 2-D "Differentiation-index coordinate" of mouse and human. We compared the published gene expression profiles of iPSCs, ESCs and fibroblasts in mouse and human "Differentiation-index coordinate". Moreover, we defined the Distance index to indicate the qualities of iPS cells, which based on the projection distance of iPSCs-ESCs and iPSCs-fibroblasts. The results indicated that the "Differentiation-index coordinate" can distinguish differentiation states of the different cells types. Furthermore, by applying this method to the analysis of expression profiles in the tetraploid complementation assay, we showed that the Distance index which reflected spatial distributions correlated the pluripotency of iPSCs. We also analyzed the significantly changed gene sets of "developing lines". The results suggest that the method presented here is not only suitable for the estimation of the quality of iPS cells based on expression profiles, but also is a new approach to analyze time-resolved experimental data.     

Design of a Lentiviral Vector for the Inducible Expression of <Emphasis Type="Italic">MYC</Emphasis>: A New Strategy for Construction Approach

Lentiviral vectors are powerful tools for gene expression studies. Here we report the construction of pTIJ, a vector for inducible gene expression. pTIJ was generated from pTRIPZ backbone, which is designed for the inducible expression of shRNA sequences, by the introducing of a multiple cloning site upstream of the Tet promoter and the removal of miR30 flanking sequences. To evaluate pTIJ as a tool for the inducible expression of genes of interest, we introduced MYC cDNA into pTIJ and infected two small cell lung cancer cell lines, H209 and H345. Induction of MYC expression by doxycycline was detectable in both cell lines by real-time PCR and western blot analysis. This study highlights the relevance of pTIJ vector to allow the inducible expression of any gene of interest. In our belief, pTIJ will be an extremely useful tool to simplify the generation of genetically engineered cell lines for the inducible expression of cDNA sequences in biological studies. Furthermore, we report the generation of a pTIJ-MYC vector for the inducible expression of the oncogene MYC.     

pRRophetic: An R Package for Prediction of Clinical Chemotherapeutic Response from Tumor Gene Expression Levels

We recently described a methodology that reliably predicted chemotherapeutic response in multiple independent clinical trials. The method worked by building statistical models from gene expression and drug sensitivity data in a very large panel of cancer cell lines, then applying these models to gene expression data from primary tumor biopsies. Here, to facilitate the development and adoption of this methodology we have created an R package called pRRophetic. This also extends the previously described pipeline, allowing prediction of clinical drug response for many cancer drugs in a user-friendly R environment. We have developed several other important use cases; as an example, we have shown that prediction of bortezomib sensitivity in multiple myeloma may be improved by training models on a large set of neoplastic hematological cell lines. We have also shown that the package facilitates model development and prediction using several different classes of data.     

Multi-Platform Whole-Genome Microarray Analyses Refine the Epigenetic Signature of Breast Cancer Metastasis with Gene Expression and Copy Number

Background

We have previously identified genome-wide DNA methylation changes in a cell line model of breast cancer metastasis. These complex epigenetic changes that we observed, along with concurrent karyotype analyses, have led us to hypothesize that complex genomic alterations in cancer cells (deletions, translocations and ploidy) are superimposed over promoter-specific methylation events that are responsible for gene-specific expression changes observed in breast cancer metastasis.

Methodology/Principal Findings

We undertook simultaneous high-resolution, whole-genome analyses of MDA-MB-468GFP and MDA-MB-468GFP-LN human breast cancer cell lines (an isogenic, paired lymphatic metastasis cell line model) using Affymetrix gene expression (U133), promoter (1.0R), and SNP/CNV (SNP 6.0) microarray platforms to correlate data from gene expression, epigenetic (DNA methylation), and combination copy number variant/single nucleotide polymorphism microarrays. Using Partek Software and Ingenuity Pathway Analysis we integrated datasets from these three platforms and detected multiple hypomethylation and hypermethylation events. Many of these epigenetic alterations correlated with gene expression changes. In addition, gene dosage events correlated with the karyotypic differences observed between the cell lines and were reflected in specific promoter methylation patterns. Gene subsets were identified that correlated hyper (and hypo) methylation with the loss (or gain) of gene expression and in parallel, with gene dosage losses and gains, respectively. Individual gene targets from these subsets were also validated for their methylation, expression and copy number status, and susceptible gene pathways were identified that may indicate how selective advantage drives the processes of tumourigenesis and metastasis.

Conclusions/Significance

Our approach allows more precisely profiling of functionally relevant epigenetic signatures that are associated with cancer progression and metastasis.     

Genes suppressed by DNA methylation in non-small cell lung cancer reveal the epigenetics of epithelial–mesenchymal transition

Background

DNA methylation is associated with aberrant gene expression in cancer, and has been shown to correlate with therapeutic response and disease prognosis in some types of cancer. We sought to investigate the biological significance of DNA methylation in lung cancer.

Results

We integrated the gene expression profiles and data of gene promoter methylation for a large panel of non-small cell lung cancer cell lines, and identified 578 candidate genes with expression levels that were inversely correlated to the degree of DNA methylation. We found these candidate genes to be differentially methylated in normal lung tissue versus non-small cell lung cancer tumors, and segregated by histologic and tumor subtypes. We used gene set enrichment analysis of the genes ranked by the degree of correlation between gene expression and DNA methylation to identify gene sets involved in cellular migration and metastasis. Our unsupervised hierarchical clustering of the candidate genes segregated cell lines according to the epithelial-to-mesenchymal transition phenotype. Genes related to the epithelial-to-mesenchymal transition, such as AXL, ESRP1, HoxB4, and SPINT1/2, were among the nearly 20% of the candidate genes that were differentially methylated between epithelial and mesenchymal cells. Greater numbers of genes were methylated in the mesenchymal cells and their expressions were upregulated by 5-azacytidine treatment. Methylation of the candidate genes was associated with erlotinib resistance in wild-type EGFR cell lines. The expression profiles of the candidate genes were associated with 8-week disease control in patients with wild-type EGFR who had unresectable non-small cell lung cancer treated with erlotinib, but not in patients treated with sorafenib.

Conclusions

Our results demonstrate that the underlying biology of genes regulated by DNA methylation may have predictive value in lung cancer that can be exploited therapeutically.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2164-15-1079) contains supplementary material, which is available to authorized users.     

Cyr61 is up‐regulated in prostate cancer and associated with the p53 gene status

Cysteine‐rich 61 (Cyr61) is a member of the CCN protein family that has been implicated in diverse biological processes such as cell adhesion, proliferation, angiogenesis, and tumorigenesis. Altered expression of Cyr61 is found to be associated with human cancers. Here we show that Cyr61 was up‐regulated in prostate cancer cell lines and tumor tissues. A significant correlation of Cyr61 expression was found between benign prostatic hyperplasia and prostate cancer (P = 0.002). However, there was no significant correlation between levels of PSA and Cyr61 expression (P = 0.2). Cyr61 may represent an independent prostate cancer biomarker and potentially a useful therapeutic target for prostate cancer treatment. In addition, our analysis based on published data and data present in this report indicted that levels of Cyr61 expression associated with the status of the tumor suppressor gene p53 in 32 cancer cell lines analyzed, high levels of Cyr61 expression were found in cell lines with mutant or null p53 gene, whereas lower expression levels of Cyr61 in the cell lines with wild‐type p53. We further show that over‐expression of dominant negative p53 or down‐expression of endogenous wild‐type p53 resulted in up‐regulation of Cyr61 expression, suggesting a functional link between Cyr61 and p53 in cancers. J. Cell. Biochem. 106: 738–744, 2009. © 2009 Wiley‐Liss, Inc.     

CCAAT/Enhancer binding protein delta (c/EBPdelta) regulation and expression in human mammary epithelial cells: I. "Loss of function" alterations in the c/EBPdelta growth inhibitory pathway in breast cancer cell lines

"Loss of function" alterations in growth inhibitory signal transduction pathways are common in cancer cells. In this study, we show that growth arrest (GA) treatments--serum and growth factor withdrawal and growth inhibitory IL-6 family cytokines (Interleukin-6 and Oncostatin M (OSM))--increase STAT3 phosphorylation (pSTAT3), increase CCAAT enhancer binding protein delta (C/EBPdelta) gene expression and induce GA of primary, finite-lifespan human mammary epithelial cells (HMECs), and immortalized breast cell lines (MCF-10A and MCF-12A). In contrast, serum and growth factor withdrawal from human breast cancer cell lines (MCF-7, SK-BR-3, T-47D, and MDA-MB-231) for up to 48 h induced a relatively modest increase in pSTAT3 levels and C/EBPdelta gene expression and resulted in varying levels of GA. In most breast cancer cell lines, IL-6 family cytokine treatment increased pSTAT3 levels and C/EBPdelta gene expression, however, growth inhibition was cell line dependent. In addition to "loss of function" alterations in growth inhibitory pathways, breast cancer cell lines also exhibit "gain of function" alterations in growth signaling pathways. The Akt growth/ survival pathway is constitutively activated in T-47D and MCF-7 breast cancer cells. The Akt inhibitor LY 294,002 significantly enhanced T-47D growth inhibition by serum and growth factor withdrawal or IL-6 family cytokine treatment. Finally, we show that activation of the pSTAT3/C/EBPdelta growth control pathway is independent of estrogen receptor status. These results demonstrate that "loss of function" alterations in the pSTAT3/C/EBPdelta growth inhibitory signal transduction pathway are relatively common in human breast cancer cell lines. Defective activation of the pSTAT3/ C/EBPdelta growth inhibitory signal transduction pathway, in conjunction with constitutive activation of the Akt growth stimulatory pathway, may play a synergistic role in the etiology or progression of breast cancer.     

Immunological profiling of a panel of human ovarian cancer cell lines

Purpose The efficient identification of peptide antigens recognized by ovarian cancer-specific cytotoxic T lymphocytes (CTL) requires the use of well-characterized ovarian cancer cell lines. To develop such a panel of cell lines, 11 ovarian cancer cell lines were characterized for the expression of class I and class II major histocompatibility complex (MHC)-encoded molecules, 15 tumor antigens, and immunosuppressive cytokines [transforming growth factor β (TGF-β) and IL-10]. Methods Class I MHC gene expression was determined by polymerase chain reaction (PCR), and class I and class II MHC protein expression was determined by flow cytometry. Tumor antigen expression was determined by a combination of polymerase chain reaction (PCR) and flow cytometry. Cytokine expression was determined by ELISA. Results Each of the ovarian cancer cell lines expresses cytokeratins, although each cell line does not express the same cytokeratins. One of the lines expresses CD90, which is associated with a fibroblast lineage. Each of the cell lines expresses low to moderate amounts of class I MHC molecules, and several of them express low to moderate amounts of class II MHC molecules. Using a combination of PCR and flow cytometry, it was determined that each cell line expressed between six and thirteen of fifteen antigens tested. Little to no TGF-β3 was produced by any of the cell lines, TGF-β1 was produced by three of the cell lines, TGF-β2 was produced by all of the cell lines, with four of the cell lines producing large amounts of the latent form of the molecule, and IL-10 was produced by one of the cell lines. Conclusions Each of the 11 ovarian cancer lines is characterized by a unique expression pattern of epithelial/fibroblast markers, MHC molecules, tumor antigens, and immunosuppressive cytokines. Knowledge of these unique expression patterns will increase the usefulness of these cell lines in identifying the antigens recognized by ovarian cancer-specific CTL.     

Biological and Clinical Significance of MAD2L1 and BUB1, Genes Frequently Appearing in Expression Signatures for Breast Cancer Prognosis

To investigate the biologic relevance and clinical implication of genes involved in multiple gene expression signatures for breast cancer prognosis, we identified 16 published gene expression signatures, and selected two genes, MAD2L1 and BUB1. These genes appeared in 5 signatures and were involved in cell-cycle regulation. We analyzed the expression of these genes in relation to tumor features and disease outcomes. In vitro experiments were also performed in two breast cancer cell lines, MDA-MB-231 and MDA-MB-468, to assess cell proliferation, migration and invasion after knocking down the expression of these genes. High expression of these genes was found to be associated with aggressive tumors and poor disease-free survival of 203 breast cancer patients in our study, and the association with survival was confirmed in an online database consisting of 914 patients. In vitro experiments demonstrated that lowering the expression of these genes by siRNAs reduced tumor cell growth and inhibited cell migration and invasion. Our investigation suggests that MAD2L1 and BUB1 may play important roles in breast cancer progression, and measuring the expression of these genes may assist the prediction of breast cancer prognosis.     

Gene expression profiling of human ovarian epithelial tumors by digo nucleotide microarray

Gene expression of human ovarian carcinoma cell lines and epithelial ovarian tumors was examined by oligonucleotide microarray for about 6000 human cDNAs. (1) Comparison of gene expression between CDDP-sensitive human ovarian serous adenocarcinoma cell lines and CDDP-resistant cell lines revealed that gamma-glutamylcysteine synthetase, glutathione peroxidase-like protein, dehydrogenase (UGDH), NAD(P)H: quinoneoxireductase, glucose-6-phosphatase, ornithine decarboxylase and dihydrodiol dehydrogenase were associated with a mechanism of CDDP-resistance. Comparison of gene expression between taxol-sensitive human ovarian cell lines and taxol-resistant cell lines showed that up-regulation of 30 kinds of gene expression including MDR and semaphorin E in taxol-resistant cell lines. (2) Comparison of gene expression among serous adenocarcinomas, clear cell adenocarcinomas and non-cancerous ovarian tissues by hierarchical clustering demonstrated that clear difference between carcinomas and non-cancerous ovarian tissues but not obvious difference between serous and clear adenocarcinomas. Genes that were up- and down-regulated specifically in these two types of ovarian carcinomas were further selected by the criteria that difference in the mRNA level by more than 4-fold between tumors and non-cancerous tissues. Tissue type specific alterations of gene expression are likely to play important roles in the carcinogenesis of epithelial ovarian tumors. cDNA microarray is a powerful and high-throughput tool to analyze gene expression of cancer development.     

Downregulation of ARFGEF1 and CAMK2B by promoter hypermethylation in breast cancer cells

To identify novel genes that are regulated by promoter methylation, a combinational approach involving in silico mining followed by molecular assay was performed. From the expression microarray data registered in the European bioinformatics institute (EBI), genes showing downregulation in breast cancer cells were initially screened and then selected by e-Northern analysis using the Unigene database. A series of these in silico methods identified CAMK2B and ARFGEF1 as candidates, and the two genes were revealed to be hypermethylated in breast cancer cell lines and hypomethylated in normal breast cell lines. Additionally, cancer cell lines showed downregulated expression of these genes. Furthermore, treatment of the cancer cell lines with a demethylation agent, 5-Aza-2'-deoxycytidine, recovered expression of CAMK2B and ARFGEF1, implying that hypermethyaltion silenced gene activity in cancer cells. Taken together, promoter methylations of CAMK2B and ARFGEF1 are novel epigenetic markers identified in breast cancer cell lines and can be utilized for the application to clinical cancer tissues.     

Human cancer cell lines: Experimental models for cancer cells in situ? For cancer stem cells?

Established human cancer cell lines are routinely used as experimental models for human cancers. Their validity for such use is analyzed and discussed, with particular focus on thyroid tumors. Although cell lines retain some properties of the cells of origin, from the points of view of their genetics, epigenetics and gene expression, they show clear differences in these properties compared to in vivo tumors. This can be explained by a prior selection of initiating cells and a Darwinian evolution in vitro. The properties of the cell lines are compared to those of the postulated cancer stem cells and their use as models in this regard are discussed. Furthermore, other proper and possible uses of the cell lines are discussed.