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Recherche de gènes candidats responsables du Syndrome d'Aicardi : Complémentarité des approches expérimentales et bioinformatiques

Abstract : Aicardi syndrome (AIC) is a severe X-linked dominant neurodevelopmental disorder a!fecting almost exclusively females. Chief features include infantile spasms, corpus caliosal agenesis, and chorioretinal abnormalities. Aicardi syndrome is a sporadic disorder and hypothesized to he caused by heterozygous mutations in an X Iinked-gene but up to now no defined candidate region on the X chromosome has been identified. Positional candidate gene approach is not possible because no familial case were reported. Eighteen Ale patients were analyzed with a full-coverage X chromosomal BAC arrays. No disease-associated Copy Number Variant was identified and we excluded total deletion and duplication of FLNA gene wich had been previously pointed out as a functional candidate. To complete this approach, 2 microarrays studies were performed to compare gene expression between Ale patients and a pool of healthy patients. The first study, on RNA extracted Irom Iymphoblastoid cell lines isolated between 3 AIC patients used 22k oligonucleotide microarray. For the screened patients, no deleterious mutations were found in the 6 selected candidate genes (ASMT, PLXNB3, MST4, SYN1, SSR4, and NSBP1). The second study was performed with 44k microarray, on RNA directly extracted from 10 AIC patients blood samples. Functional clustering analyses revealed the effects of the factors: age, time of blood sampie extraction, and inter-individual gene expression variance. A group of gene annotated by "nucleosome" GO term seemed inlluenced by the factor "use of antiepileptic drugs". In a last strategy, we proposed a knowledge-guided approach for retrieving disease-specific candidate genes named ACGR (Approach for Candidate Gene Retrieval). Knowledge embedded in expert's definitions of candidate gene was expressed as relations between genes and the disease. These definitions were used for guiding-data modelling and are converted into views on the data which ultimately led to retrieval of sets of candidate genes. Thus PLXNB3, MADEGl and SUV39H3 were selected as candidate genes. The perspectives of our work will include sequencing analysis of these genes. These integrative approaches reflect the evolution of our concepts and allow, with the use of biological pathways, the transition between the genetics of mental retardation to the genomics of mental retardation.
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Saliha Yilmaz. Recherche de gènes candidats responsables du Syndrome d'Aicardi : Complémentarité des approches expérimentales et bioinformatiques. Génétique. Université Henri Poincaré - Nancy 1, 2007. Français. ⟨NNT : 2007NAN10149⟩. ⟨tel-01748514⟩



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