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Gaëtan Gruel

Publications and source records attributed to Gaëtan Gruel.

3 recordsLinked to original sources

Novel microarray-based method for estimating exposure to ionizing radiation.

Accurate estimation of the dose of ionizing radiation to which individuals have been exposed is critical for therapeutic treatment. We investigated whether gene expression profiles could be used to evaluate the dose received, thereby serving as a biological dosimeter. We used cDNA microarrays to monitor changes in gene expression profiles induced by ionizing radiation in mouse total blood. The subsets of genes best characterizing each dose were identified by resampling the original data set and calculating the intersection of the dose signatures. This analytical strategy minimizes the impact of potential genetic/epigenetic variation between mice and overcomes the bias in gene selection inherent to microarray technology. The significance of the identified signatures was evaluated by monitoring the type I error rate by in silico negative control simulation. Based on the distribution of the mean ratios of the selected probes, we were able to identify transcription profiles giving 83% to 100% correct estimation of the dose received by test mice, demonstrating that the selected probes could be used to determine the dose of radiation to which the animals had been exposed. This method could potentially be generalized to determine the level of exposure to other toxins and could be used to develop new related clinical applications.

Algorithms↗

Microarray analysis of LIF/Stat3 transcriptional targets in embryonic stem cells.

Mouse embryonic stem (ES) cells can be propagated in vitro while retaining their properties of pluripotency and self-renewal under the continuous presence of leukemia inhibitor factor (LIF). An essential role has been attributed to subsequent activation of the Stat3 transcription factor in mediating LIF self-renewal response. To date, however, downstream target genes of Stat3 in ES cells are still unknown. To isolate these genes, we performed a microarray-based kinetic comparison of LIF-stimulated (undifferentiated) ES cells versus ES cells induced to differentiate by shutting down Stat3 activity through either LIF deprivation or, more specifically, expression of a Stat3 dominant-negative mutant. In each case, we chose the earliest time at which ES cells lose their self-renewal properties, as illustrated by a decrease in the number of embryoid bodies and blast cell colony formation as well as germ layer marker expression. Comparison of the two independent approaches revealed similarly regulated genes that are likely to be involved in the Stat3 effects on ES cell self-renewal. For instance, upregulation of growth factors such as the transforming growth factor-beta relative Lefty1 or transcriptional regulators such as Id1 and Id2 and down-regulation of the groucho-like protein Aes1 (grg5) were found. Promoter analysis of the aes1 gene revealed three functional Stat3 consensus sites, as shown by luciferase assays. Furthermore, chromatin immunoprecipitation experiment demonstrated that Stat3 is recruited to the promoter of aes1 in ES cells. These data demonstrated that the aes1 gene is a direct transcriptional target of Stat3 in ES cells.

Animals↗

Transcriptional repression by p53 promotes a Bcl-2-insensitive and mitochondria-independent pathway of apoptosis.

p53 can induce apoptosis in various ways including transactivation, transrepression and transcription-independent mechanisms. What determines the choice between them is poorly understood. In a rat embryo fibroblast model, caspase inhibition changed the outcome of p53 activation from standard Bcl-2-regulated apoptosis to caspase-independent and Bcl-2-insensitive cell death, a phenomenon not described previously. Here, we show that caspase inhibition affects cell death commitment decisions by modulating the apoptotic functions of p53. Indeed, in the Bcl-2-sensitive pathway, transactivation-dependent signalling is activated leading to a rapid MDM2-mediated degradation of p53. In contrast, in the Bcl-2-insensitive pathway, p53 is stable and this is associated with transrepression-dependent signalling. A study with microarrays identified these genes regulated by p53 in the absence of active caspases.

Amino Acid Chloromethyl Ketones↗