Study published in Science also finds answers to the question: How do cells know to grow?
Researchers at Huntsman Cancer Institute (HCI) at the University of Utah and a collaborator at the University of California at Santa Cruz report they have developed a unique computational approach to investigate a regulatory network for gene expression that is implicated in cell growth and development. The study was published today in the journal Science.
"When studying the genome of any organism, be it yeast, worm, fly or human, scientists are faced with a problem -- the incredible number of genes," explains Susan Mango, Ph.D., an HCI investigator and leader of the research team. Mangos research centered on a common garden-variety nematode worm, C. elegans, which shares many genes in common with humans. She explains that although worms appear simple, the worm genome is comprised of 20,000 genes. The human genome has over 30,000 genes. "When you look at the numbers, it becomes very clear that the old way -- studying one gene at a time -- is too slow. It becomes a problem of scale, with high throughput the only answer."
Linda Aagard | EurekAlert!
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