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Functional genomic analysis of neural crest development

$830,847ZIAFY2012HGNIH

National Human Genome Research Institute

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Abstract

Neural crest stem cells give rise to multiple lineages including the peripheral nervous system and melanocytes. Many birth defects, diseases and cancers including melanoma are caused by defects in neural crest expressed genes. The expression of neural crest genes is controlled by a complex transcriptional regulation. One of the transcription factors needed for appropriate expression is SOX10 and we have been assessing its role in melanoma formation and progression. The target genes of SOX10 may themselves be essential for proper neural crest development. To identify potential SOX10 target genes, we have analyzed the effects of altered SOX10 expression occurring in melanoma samples on the expression of multiple genes simultaneously using cDNA expression microarrays. We have developed and are continuing to develop sets of tools to discover and analyze genes that are involved in neural crest-derived melanocyte development and disease. We used cDNA microarray cluster analysis comparing RNA from twenty cell lines from varying stages of neural crest development and melanoma. We have identifed several genes that are early markers of neural crest development. We are sequencing DNA from melanoma samples to identify mutations in developmental genes. We have also developed an efficient method for functional analysis of these genes by over-expression in immortalized NC-Ms in vitro and melanoblasts in vivo. This involves using a retrovirus system to direct overexpression of genes into defined lineages in mice and in cell culture. We have found that several of these genes have expression patterns of specific neural crest derivatives and are mutated in neural crest diseases. We have also found that overexpression of genes can limit the potential of the neural crest stem cells. We have generated libraries from melanocytes and used them to annotate the genome of the mouse. This will help in our identification of human disease loci that have melanocyte defects. This involves analysis of non-coding DNA. Utilizing comparative sequence analysis and trangenesis we have identified regulatory regions across the melanocyte genome and identified an underlying sequence code. Using this gene expression and comparative sequence analysis we are defining the transcriptional language needed for melanocyte development and understanding how this is altered in diseases such as melanoma.

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