Sylvain Létourneau

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Dose-limiting hematopoietic toxicity produced by the cytosine nucleoside analogue cytosine arabinoside (ARA-C) is one of the major factors that limit its use in the treatment of neoplastic diseases. An interesting approach to overcome this problem would be to insert a gene for drug resistance to ARA-C in normal hematopoietic cells to protect them from drug(More)
CEACAM1 (also known as biliary glycoprotein, C-CAM or CD66a) is a cell adhesion molecule of the immunoglobulin family behaving as a tumor inhibitory protein in colon, prostate, liver, endometrial and breast cancers. Inhibition of tumor development is dependent upon the presence of the long 71-73 amino acid cytoplasmic domain of the CEACAM1 protein(More)
A major limitation to successful cancer treatment is the existence of drug resistance. While several mechanisms of drug resistance have now been well characterized, mechanisms of resistance to alkylating drugs have remained less well defined. Several experimental models of alkylator resistance have implicated isoforms of glutathione S-transferase (GST) but(More)
Recently, we have reported that N2Yc, a Moloney-based retrovirus vector expressing the Yc isoform of rat glutathione S-transferase (GST-Yc), conferred resistance to alkylating agents in mouse NIH-3T3 fibroblasts. In this report, we address the feasibility of using rat GST-Yc somatic gene transfer to confer chemoprotection to the hematopoietic system. Human(More)
The CEACAM1 glycoproteins (formerly called biliary glycoproteins; BGP, C-CAM, CD66a, or MHVR) are members of the carcinoembryonic antigen family of cell adhesion molecules. In the mouse, splice variants of CEACAM1 have either two or four immunoglobulin (Ig) domains linked through a transmembrane domain to either a short or a long cytoplasmic tail. CEACAM1(More)
Biliary glycoprotein (Bgp1), a carcinoembryonic antigen-related family member of the immunoglobulin superfamily, is involved in normal and neoplastic events. Analysis of Bgp1 expression throughout post-implantation mouse embryogenesis using reverse transcription-polymerase chain reactions, immunostaining with anti-Bgp1 monoclonal antibodies, and in situ(More)
This paper presents application of Rough Sets algorithms to prediction of component failures in aerospace domain To achieve this we rst introduce a data preprocessing approach that consists of case selection data labeling and attribute reduction We also introduce a weight function to represent the importance of predictions as a function of time before the(More)
Modern operation of complex systems such as trains and aircraft generates vast amounts of data. This data can be used to help predict component failures which may lead to considerable savings, reduce the number of delays, increase the overall throughput of the organization, and augment safety. Many data mining algorithms, such as neural networks, decision(More)