Researchers identify genome's controlling elements


Scientists have churned out genome sequences for everything from fungi to dogs, and they won't be letting up any time soon. However, because a genome sequence is little more than a static list of chemicals--like, say, a parts list for a 747 airplane--scientists are increasingly turning their attention to figuring out how living organisms put their genes to work.

Using yeast as a testing ground, researchers at MIT and the Whitehead Institute for Biomedical Research have for the first time revealed all the "controlling elements" of an entire genome--findings that may soon contribute to a new way of understanding human health and disease.

"This is really the next stage in human genome research," says Richard Young, Whitehead member and MIT professor of biology. Young headed the team of 20 researchers with Whitehead Fellow Ernest Fraenkel and Professor David Gifford of MIT's Department of Electrical Engineering and Computer Science. (Fraenkel is also affiliated with MIT's Computer Science and Artificial Intelligence Lab; Young and Gifford have appointments at the Broad Institute.)

Key to understanding how the genome is controlled are gene regulators, also known as transcription factors. These small molecules intermittently land on a region of DNA, close to a particular gene, and then switch that gene on. They can also influence the amount of protein that the gene will produce. Many diseases, such as diabetes and cancer, are associated with mutated gene regulators, which is one reason why scientists are so interested in them.

The problem is that very few of these regulators have been identified in any organism. Locating their landing sites is essential to identifying their function, and therein lies the rub: gene regulators are hard to find. They typically just land on a small stretch of DNA, do their job, then take off again. And owing to the vastness of the genome, locating just one gene regulator with conventional lab tools can take many years.

The Whitehead/MIT team, in the Sept. 2 issue of the journal Nature, report a method for scanning an entire genome and quickly identifying the precise landing sites for these regulators.

As a result, scientists now can begin to understand how genes and their regulators "talk" to each other. According to Fraenkel, knowing these communication patterns ultimately will have a profound influence on our understanding of everything from infectious disease to cloning.

To eavesdrop on these cellular conversations, graduate student Chris Harbison from Young's lab and postdoctoral researcher Ben Gordon from Fraenkel's lab combined the latest biological tools with new computational methods.

Harbison took yeast cells and subjected them all to a dozen nutritional, chemical and temperature environments. "We tried to come up with different conditions that a yeast cell would encounter in its natural habitat," says Harbison.

Gene regulators come out of hiding and do their job in response to environmental conditions, but they don't all respond to the same kinds of predicaments. Running the cells through a wide spectrum of stimuli was a way of waking up all the regulators--in a sense, shaking the bushes and then nabbing them once they're out.

Next, Harbison placed gene fragments associated with these regulators onto a series of microarrays--small dime-sized silicon or glass chips that contain thousands of pieces of DNA--which allowed him to come up with a list of approximate locations. Gordon and Fraenkel created computer algorithms that fused Harbison's data with data from other yeast species to find the exact landing points.

The next challenge is to scale the platform so it can tackle human cells, something that the researchers are gearing up to do. Even though the yeast genome's 203 regulators are a far cry from the roughly 2,000 in human cells, Young explains, "now we have the technology and the concepts to get started on decoding the human genome."

This work was supported by the National Institutes of Health.


Topics: Bioengineering and biotechnology, Genetics

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