Molecular characterization of breast cancer cell lines by a low-density microarray.

We designed a low-density microarray carrying 132 DNA capture sequences highly specific for genes known to be differentially expressed among breast tumors and BCC lines or associated with specific tumor properties (cell-cycle alteration, proteolysis, adhesion, hormone sensitivity, etc). We analyzed gene expression in 11 BCC lines among which 6 had already been extensively studied (BT-474, Hs578T, MCF-7, MDA-MB-231, MDA-MB-453, T-47D) and 5 were still poorly characterized (Evsa-T, IBEP-1, IBEP-2, IBEP-3, KPL-1). Some data obtained were verified or extended by real-time polymerase chain reaction (real-time PCR), Northern blotting, Western blotting, immunohistochemistry and cell growth studies. Clustering analysis of the low-density microarray data allowed the sorting of BCC lines into two classes and supported a major discriminatory role for ER alpha, confirming data from previous studies. A few genes that are highly and specifically expressed in one cell line were identified, such as MGB1 (mammaglobin 1) in Evsa-T cells, and PIP (prolactin-inducible protein) in MDA-MB-453 BCC, suggesting an apocrine origin for these latter cells. Two BCC lines (IBEP-1 and IBEP-3) that had been previously characterized as ER alpha-negative, were classified by the low-density microarray among ER alpha-positive lines (MCF-7, T-47D, IBEP-2, BT-474, KPL-1) and were indeed confirmed as receptor-positive (at both mRNA and protein levels) and hormone-responsive cells. In conclusion, our results support the utility of a low-density microarray approach in cases where the cost and exhaustiveness of high-density microarrays may constitute a drawback; for instance, in obtaining a rapid phenotype evaluation in cell populations freshly isolated from breast tumors.

Gene expression and regulation in H2O2-induced premature senescence of human foreskin fibroblasts expressing or not telomerase.

We compared the DNA-binding activity of transcription factors and gene expression patterns in BJ human diploid fibroblasts (HDFs) expressing or not telomerase (hTERT) in stress-induced premature senescence (SIPS). Senescent BJ cells were also studied. Hydrogen peroxide (H2O2)-induced SIPS modulated gene expression in both BJ and hTERT-BJ1 cells. Increased p21(WAF-1) mRNA level was amongst the common gene expression changes in BJ and hTERT-BJ1 cells induced by SIPS. Telomerase expression markedly changed gene expression in non-stressful conditions. Expression patterns of senescent BJ cells partially overlapped those of BJ and hTERT-BJ1 cells in SIPS. The basal levels of DNA-binding activity of NF-kappaB and phosphorylated ATF-2 were different in BJ and hTERT-BJ1 cells. Both cell lines displayed a higher DNA-binding activity of p53 and HIF-1 72 h after H2O2 exposure. Our results indicate that similar mechanisms involving p21(WAF-1) and probably p53 are at work in BJ and hTERT-BJ1 HDFs under H2O2-induced SIPS, suggesting that generalized DNA damage rather than telomere length/telomerase plays a crucial role in H2O2induced SIPS. We propose that H2O2-induced SIPS involves a rearrangement of proliferative and apoptotic pathways. The marked changes in gene expression induced by telomerase suggest that apart from immortalization of HDFs, telomerase also alters the normal cellular functions but does not protect against SIPS.

Use of a low-density microarray for studying gene expression patterns induced by hepatotoxicants on primary cultures of rat hepatocytes.

In the field of gene expression analysis, DNA microarray technology is having a major impact on many different areas including toxicology. For instance, a number of studies have shown that transcription profiling can generate the information needed to assign a compound to a mode-of-action class. In this study, we investigated whether compounds inducing similar toxicological endpoints produce similar changes in gene expression. In vitro primary rat hepatocytes were exposed to 11 different hepatotoxicants: acetaminophen, amiodarone, clofibrate, erythromycin estolate, isoniazid, alpha-naphtylylisothiocyanate, beta-naphtoflavone, 4-pentenoic acid, phenobarbital, tetracycline, and zileuton. These molecules were selected on the basis of their variety of hepatocellular effects observed such as necrosis, cholestasis, steatosis, and induction of CYP P450 enzymes. We used a low-density DNA microarray containing 59 genes chosen as relevant toxic and metabolic markers. The in vitro gene expression data generated in this study were generally in good agreement with the literature, which mainly concerns in vivo data. Furthermore, gene expression profiles observed in this study have been confirmed for several genes by real-time PCR assays. All the tested drugs generated a specific gene expression profile. Our results show that even with a relatively limited gene set, gene expression profiling allows a certain degree of classification of compounds with similar hepatocellular toxicities such as cholestasis, necrosis. The clustering analysis revealed that the compounds known to cause steatosis were linked, suggesting that they functionally regulate similar genes and possibly act through the same mechanisms of action. On the other hand, the drugs inducing necrosis and cholestasis were pooled in the same cluster. The drugs arbitrarily classified as the CYP450 inducers formed individual clusters. In conclusion, this study suggests that low-density microarrays could be useful in toxicological studies.