Dataset Information

Time-series transcriptome profilings of control and Fenretinide-treated human NB4 cells

ABSTRACT: Pharmacological intervention of redox balance in cancer cells often results in oxidative stress-mediated apoptosis, attracting much attention for the development of a new generation of targeted therapy in cancer. However, little is known about mechanisms underlying the conversion from oxidative signaling to downstream activities leading cells to death. We here report a systematic detection of transcriptome changes in response to oxidative signals generated in leukemia cells upon fenretinide treatment, implicating the occurrence of numerous stress-responsive events during the fenretinide induced apoptosis, such as redox response, endoplasmic reticulum stress/unfolded protein response, translational repression and proteasome activation. Moreover, the configuration of these relevant events is primarily orchestrated by stress responsive transcription factors, as typically highlighted by NF-E2-related factor-2 (NRF2) and heat shock factor 1 (HSF1). Several lines of evidence suggest that the coordinated regulation of these transcription factors and thus their downstream genes are involved in converting oxidative signaling into downstream stress-responsive events regulating pro-apoptotic and apoptotic activities at the temporal and spatial levels, typifying oxidative stress-mediated programmed death rather than survival in cancer cells. This study provides a roadmap for understanding oxidative stress-mediated apoptosis in cancer cells, which may be further developed into more sophisticated therapeutic protocols, as implicated by synergistic induction of cell apoptosis using proteasome inhibitors with fenretinide.

ORGANISM(S): Homo sapiens

PROVIDER: GSE16578 | GEO | 2009/09/15

SECONDARY ACCESSION(S): PRJNA116137

REPOSITORIES: GEO

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Project description:Control of intracellular heme levels by extracellular scavenger proteins and intracellular heme oxygenases are essential functions during disease states with enhanced extracellular heme release. During severe hemolysis or rhabdomyolysis uncontrolled heme exposure can cause acute kidney injury and endothelial damage. The cytotoxic activity of heme has been primarily attributed to its pro-oxidative potential. However, the mechanisms of heme toxicity have never been systematically explored. Besides its redox reactivity, heme could also adversely alter cellular functions through its broad binding affinity to multiple non-hemoproteins. Such interactions may impair protein functions and support heme toxicity. In this study we mapped the gene expression profile of Hb triggered acute kidney injury in old blood transfused guinea pigs by serial analysis of gene expression (SAGE). Additionally, the toxic heme response of mouse embryo fibroblasts was systematically characterized on the gene and protein expression levels by gene array experiments and quantitative mass-spectrometry of stable isotope labeled cells. In all these studies, in addition to oxidative stress signals, the most significant signals were reproducibly found for biologic networks related to altered protein degradation, which ultimately triggers the response to unfolded proteins and apoptosis. These screening data could be mechanistically explained by heme-proteasome interactions and a proteasome inhibitor activity of heme. Proteasome inhibition drastically reduced the threshold of cellular toxicity during heme exposure. We therefore propose a novel model of heme toxicity whereby proteasome inhibition by the porphyrin fuels a vicious cycle of oxidative protein modification, accumulation of damaged proteins, cell damage and apoptosis. A two color common reference design was chosen with 2-4 independent biological replicates of each condition. Each experimental sample (Cy5 labeled) was hybridized against a non-treated reference sample (Cy3 labeled). To compensate for dye bias control arrays with competitively hybridized Cy3- and Cy5-labeled non-treated reference samples were used. The latter allowed for a very robust statistical analysis with pair-wise comparison of treatment array replicates versus the corresponding control array replicates.

Project description:Control of intracellular heme levels by extracellular scavenger proteins and intracellular heme oxygenases are essential functions during disease states with enhanced extracellular heme release. During severe hemolysis or rhabdomyolysis uncontrolled heme exposure can cause acute kidney injury and endothelial damage. The cytotoxic activity of heme has been primarily attributed to its pro-oxidative potential. However, the mechanisms of heme toxicity have never been systematically explored. Besides its redox reactivity, heme could also adversely alter cellular functions through its broad binding affinity to multiple non-hemoproteins. Such interactions may impair protein functions and support heme toxicity. In this study we mapped the gene expression profile of Hb triggered acute kidney injury in old blood transfused guinea pigs by serial analysis of gene expression (SAGE). Additionally, the toxic heme response of mouse embryo fibroblasts was systematically characterized on the gene and protein expression levels by gene array experiments and quantitative mass-spectrometry of stable isotope labeled cells. In all these studies, in addition to oxidative stress signals, the most significant signals were reproducibly found for biologic networks related to altered protein degradation, which ultimately triggers the response to unfolded proteins and apoptosis. These screening data could be mechanistically explained by heme-proteasome interactions and a proteasome inhibitor activity of heme. Proteasome inhibition drastically reduced the threshold of cellular toxicity during heme exposure. We therefore propose a novel model of heme toxicity whereby proteasome inhibition by the porphyrin fuels a vicious cycle of oxidative protein modification, accumulation of damaged proteins, cell damage and apoptosis. A two color common reference design was chosen with 2-8 independent biological replicates of each condition. Each experimental sample (Cy5 labeled) was hybridized against a non-treated reference sample (Cy3 labeled). To compensate for dye bias control arrays with competitively hybridized Cy3- and Cy5-labeled non-treated reference samples were used. The latter allowed for a very robust statistical analysis with pair-wise comparison of treatment array replicates versus the corresponding control array replicates.

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Time-series transcriptome profilings of control and Fenretinide-treated human NB4 cells

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