This sure has been a week for papers. On the heels of last week's paper published in The Lancet, my paper "Gene expression phenotypic models that predict the activity of oncogenic pathways" is released for online publication today. Here's the link to Nature Genetics's Advance Online Publication.
Essentially, I manipulated cells to turn on genes implicated in cancer, "interrogated" these cells for genome-scale expression data, and used this data to develop robust predictive models for the activity of these cancer genes, also known as "oncogenes". I tested the models in normal synchronized proliferating cells (virtually all oncogenes have normal functions in regulating cell growth--they become cancer genes when they somehow become deranged), and in tumor tissues, with good success.
ABSTRACTPosted by erich at May 18, 2003 02:57 PM
High-density DNA microarrays measure expression of large numbers of genes in one assay. The ability to find underlying structure in complex gene expression data sets and rigorously test association of that structure with biological conditions is essential to developing multi-faceted views of the gene activity that defines cellular phenotype. We sought to connect features of gene expression data with biological hypotheses by integrating 'metagene' patterns from DNA microarray experiments in the characterization and prediction of oncogenic phenotypes. We applied these techniques to the analysis of regulatory pathways controlled by the genes HRAS (Harvey rat sarcoma viral oncogene homolog), MYC (myelocytomatosis viral oncogene homolog) and E2F1 ,E2F2 and E2F3 (encoding E2F transcription factors 1, 2 and 3, respectively). The phenotypic models accurately predict the activity of these pathways in the context of normal cell proliferation. Moreover, the metagene models trained with gene expression patterns evoked by ectopic production of Myc or Ras proteins in primary tissue culture cells properly predict the activity of in vivo tumor models that result from deregulation of the MYC or HRAS pathways. We conclude that these gene expression phenotypes have the potential to characterize the complex genetic alterations that typify the neoplastic state, whether in vitro or in vivo , in a way that truly reflects the complexity of the regulatory pathways that are affected.
Published online: 18 May 2003, doi:10.1038/ng1167