Biomedical subjects

Olivier Alibert

Publications and source records attributed to Olivier Alibert.

6 recordsLinked to original sources

PubMed2006

Comparison of gene expression pattern in SP cell populations from four tissues to define common "stemness functions".

The goal of our study was to identify a subset of genes commonly expressed in Side Populations (SP), isolated by Hoechst staining followed by flow cytometry, from adult mouse bone marrow, male adult germinal cells, muscle primary culture, and mesenchymal cells. These SP cells have been proposed to be a "stem-like" population and are used here as a "model" that may reveal mechanisms which would be relevant for a better understanding of stem cell properties. Transcriptional profiles for SP and the more differentiated non-SP cells isolated from the four tissues were compared by hybridization on microarray using a common external reference. Among the 503 genes differentially expressed, which discriminate SP and non-SP cells in all the tissues, the genes upregulated in SP cells are implicated in the quiescent status of the cells, the maintenance of their pluripotency and the capacity to undergo asymmetric division. These genes may be responsible for the decision for self-renewal of these cells, whereas the repression of lineage-affiliated genes in SP cells could be responsible for their undifferentiated state. These genes, acting in concert, may be the key players that mediate the mechanisms that control stem cell functions, and our results suggest that we have identified common "stemness functions" of these "stem-like" cells.

Animals↗

PubMed2006

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↗

PubMed2005

Novel pathway for megakaryocyte production after in vivo conditional eradication of integrin alphaIIb-expressing cells.

Our knowledge of the molecular mechanisms that regulate hematopoiesis in physiologic and pathologic conditions is limited. Using a molecular approach based on cDNA microarrays, we demonstrated the emergence of an alternative pathway for mature bone marrow cell recovery after the programmed and reversible eradication of CD41+ cells in transgenic mice expressing a conditional toxigene targeted by the platelet alphaIIb promoter. The expression profile of the newly produced CD41+ cells showed high levels of transcripts encoding Ezh2, TdT, Rag2, and various immunoglobulin (Ig) heavy chains. In this context, we identified and characterized a novel population of Lin-Sca-1hi c-Kit- cells, with a lymphoid-like expression pattern, potentially involved in the reconstitution process. Our study revealed novel transcriptional cross talk between myeloid and lymphoid lineages and identified gene expression modifications that occur in vivo under these particular stress conditions, opening important prospects for therapeutic applications.

Animals↗

PubMed2005

Activation of an energy providing response in human keratinocytes after gamma irradiation.

We performed a microarray study on human differentiated HaCaT keratinocytes exposed to ionizing radiation (2 or 10 Gy). At 3 h after exposure, more than 150 known and unknown genes were found regulated in irradiated HaCaT keratinocytes. Among the genes regulated at 3 h, those involved in cell energy metabolism appeared to be the most abundant and the most responsive. Two mitochondrial ATP-synthases and several other genes involved in energy producing pathways, such as glucose metabolism, were induced, whereas many genes from energy requiring pathways were shut down. These changes in energy metabolism were confirmed both in normal primary keratinocytes and in HaCaT keratinocytes by RT-PCR and proteins studies. Moreover, measures of intracellular ATP revealed a 50% increase in keratinocytes immediately after irradiation, supporting an energy procurement response. The overall results indicate that irradiation induces an immediate burst of ATP that seems to be a general response of human differentiated keratinocytes to the radiation stress. This article contains Supplementary Material available at http://www.mrw.interscience.wiley.com/suppmat/0730-2312/suppmat/v95.html

Cells, Cultured↗

PubMed2004

Dense genome-wide linkage analysis of rheumatoid arthritis, including covariates.

OBJECTIVE: Rheumatoid arthritis (RA) is a heterogeneous disease that exhibits a complex genetic component. Previous RA genome scans confirmed the involvement of the HLA region and generated data on suggestive signals at non-HLA regions, albeit with few overlaps in findings between studies. The present study was undertaken to detect potential RA gene regions and to estimate the number of true RA gene regions, taking into account the heterogeneity of RA, through performance of a dense genome scan. METHODS: In a study of 88 French Caucasian families (105 RA sibpairs), 1,088 microsatellite markers were genotyped (3.3-cM genome scan), and a multipoint model-free linkage analysis was performed. The statistical assessment of the results relied on 10,000 computer simulations. A covariate-based multipoint model-free linkage analysis was performed on the locations of regions with suggestive evidence for linkage. RESULTS: Involvement of the HLA region was strongly confirmed (P = 6 x 10(-5)), and 19 non-HLA regions showed suggestive evidence for linkage (P < 0.05); 9 of these overlapped with regions suggested in other published RA genome scans. A routine 12-cM genome scan with the same families would have detected only 7 of the 19 regions, including only 4 of the 9 overlapping regions. From the 10,000 computer simulations, we estimated that 8 +/- 4 regions (mean +/- SD) were true-positives. RA covariate-based analysis provided additional linkage evidence for 3 regions, with age at disease onset, erosions, and HLA-DRB1 shared epitope as covariates. CONCLUSION: The results of this study provide evidence of 19 non-HLA RA gene regions, with an estimate of 8 +/- 4 as true-positives, and provide additional evidence for 3 regions from covariate-based analysis.

Arthritis, Rheumatoid↗

PubMed2002

Association between tumor necrosis factor receptor II and familial, but not sporadic, rheumatoid arthritis: evidence for genetic heterogeneity.

OBJECTIVE: Tumor necrosis factor alpha (TNFalpha) binds the receptors TNFRI and TNFRII. Results of genome scans have suggested that TNFR2 is a candidate rheumatoid arthritis (RA) locus. A case-control study in a UK Caucasian population has shown an association between a TNFR2 genotype (196R/R in exon 6) and familial, but not sporadic, RA. The present study was undertaken to test this association in the French Caucasian population. METHODS: To test for an association in sporadic RA, 100 families were genotyped for the 196M/R polymorphism and analyzed using the transmission disequilibrium test and haplotype relative risk. To test for an association in familial RA, RA index cases from 100 affected sibpair (ASP) families were genotyped for 196M/R. Linkage analysis was performed with 3 TNFR2 microsatellite markers. RESULTS: The TNFR2 196R/R genotype was not associated with sporadic RA (odds ratio [OR] 0.59, P = 0.72), but was associated with familial RA (OR 4.0, P = 0.026). The association was most marked in the context of TNFR2 "twin-like" RA sibs (affected sibs sharing both TNFR2 haplotypes) (OR 9.2, P = 0.0017). Linkage analysis results were consistent with the association; most of the TNFR2 linkage evidence was found in the subgroup of families with 196R/R ASP index cases. CONCLUSION: This study is the first to replicate evidence of the involvement of TNFR2 in RA genetic heterogeneity. Our data refine the initial hypothesis, to suggest that a TNFR2 recessive factor, in linkage disequilibrium with the 196R allele, plays a major role in a subset of families with multiple cases of RA.

Adult↗