Hypoxia induces protection against etoposide-induced apoptosis: molecular profiling of changes in gene expression and transcription factor activity

Background: it is now well established that hypoxia renders tumor cells resistant to radio- but also chemotherapy. However, few elements are currently available as for the mechanisms underlying this protection. Results: in this study, physiological hypoxia was shown to inhibit apoptosis induced in HepG2 cells by etoposide. Indeed, hypoxia reduced DNA fragmentation, caspase activation and PARP cleavage. The DNA binding activity of 10 transcription factors was followed while the actual transcriptional activity was measured using specific reporter plasmids. Of note is the inhibition of the etoposideinduced activation of p53 under hypoxia. In parallel, data from low density DNA microarrays indicate that the expression of several pro- and anti-apoptotic genes was modified, among which are Bax and Bak whose expression profile paralleled p53 activity. Cluster analysis of data unravels several possible pathways involved in the hypoxia-induced protection against etoposide-induced apoptosis: one of them could be the inhibition of p53 activity under hypoxia since caspase 3 activity parallels Bax and Bak expression profile. Moreover, specific downregulation of HIF-1α by RNA interference significantly enhanced apoptosis under hypoxia possibly by preventing the hypoxia mediated decrease in Bak expression without altering Bax expression. Conclusion: these results are a clear demonstration that hypoxia has a direct protective effect on apoptotic cell death. Moreover, molecular profiling points to putative pathways responsible for tumor growth in challenging environmental conditions and cancer cell resistance to chemotherapeutic agents

Analytical validation of a novel high multiplexing real-time PCR array for the identification of key pathogens causative of bacterial ventilator-associated pneumonia and their associated resistance genes.

Rapid diagnosis and appropriate empirical antimicrobial therapy before the availability of conventional microbiological results is of pivotal importance for the clinical outcome of ventilator-associated pneumonia (VAP). We evaluated the VAPChip, a novel, closed cartridge molecular tool aiming to identify directly from clinical samples and within a working day the principal bacteria causative of VAP as well as clinically relevant β-lactam resistance genes.Journal ArticleResearch Support, Non-U.S. Gov'tValidation StudiesSCOPUS: ar.jinfo:eu-repo/semantics/publishe

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.Journal ArticleResearch Support, Non-U.S. Gov'tSCOPUS: ar.jinfo:eu-repo/semantics/publishe