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For the higher eukaryotic organisms, self-renewal is both a vital necessity and a mortal danger. The vital necessity is related to the constant requirement for regeneration of tissues (for example, the human body produces 200 billion red blood cells every day). The greatest danger resides in the appearance of uncontrolled self-renewal, resulting in a cancer which can destroy the organism.
Our understanding of the molecular mechanisms involved in this essential process is still very limited. In the laboratory we have elaborated a strategy for the analysis of this biological phenomenon which is based on the following hypotheses:
The importance of this project is above all
fundamental: the comprehension of the mechanisms which control
self-renewal is a major challenge in contemporary biology.
This project is likely to have medical implications in two different
directions: first, the ability to control the process of self-renewal
may make it possible to maintain large quantities of human somatic
stem cells in culture, and to amplify them in large quantities for use
in cell therapy. Secondly, the understanding of dysfunctions
responsible for tumoral phenomena may lead to research strategies for
cancer therapy by forced differentiation. Finally, the economic
importance is mainly for the chicken, which is a species of major
agronomic importance (world chicken production reached 51 million tons
in 2001). Recent advances have been made by characterizing groups of
genes for which expression appears to be specific to stem cells. These
high throughput approaches have led to the establishment of catalogues
of genes for “stemness”, (in the sense of "characteristics of stem
cells"; Ivanova et al., 2002; Ramalho-Santos et al.,
2002). The way in which the products of these genes interact to
produce the self-renewal phenotype nevertheless remains to be
completely characterized.
This objective of this project is to extract a
self-renewal module. To extract this type of module, a transcriptomic
approach based on the utilization of the SAGE method has been
selected. This method possesses huge advantages; for instance, it is
quantitative, exhaustive and easy to implement rapidly for the whole
organism.
This technique has been applied to two complementary cellular models,
according to our initial hypotheses:
Inter-cell conservation should permit extraction of this type of module by inter-species comparisons (human-chicken in this case) and between developmental stages (embryonic stem cells versus somatic cells in this case).