Mathematical Model is Key to Understanding Embryonic Development

April 15, 2010 

Researchers at Purdue University are using a mathematical model to predict complex signaling patterns in embryonic stem cell development. This knowledge could be used to understand and treat developmental disorders and some diseases.

During embryonic development, proteins attach to cell receptors and start a cascade of reactions. Although researchers are able to monitor feedback signals from the proteins or other molecules along the cascade, it is difficult to understand these reactions.

For this study, which looked at fruit fly embryos, assistant professor David Umulis developed a mathematical model that is able to predict accurate outcomes when different feedback signals are inserted. 

"We want to understand how stem cells become tissue-specific so that we can manipulate that process to create cells that could be used to treat injuries and diseases," Umulis said.  "Using a model approach, we can simulate these complex signaling patterns to get a better handle on the process."

His results were published in Developmental Cell journal.

Read more about the study here.

Source: Purdue University (March 9, 2010). 

Image of Drosophila melanogaster (Fruit Fly) egg via Wikipedia.