A mathematical discovery has extended the reach of a novel genome mapping method to humans, potentially giving cancer biology a faster and more cost-effective tool than traditional DNA sequencing.
A student-led group from the laboratory of Michael Waterman, USC University Professor in molecular and computational biology, has developed an algorithm to handle the massive amounts of data created by a restriction mapping technology known as "optical mapping." Restriction maps provide coordinates on chromosomes analogous to mile markers on freeways.
Lead author Anton Valouev, a recent graduate of Waterman's lab and now a postdoctoral fellow at Stanford University, said the algorithm makes it possible to optically map the human genome.
"It carries tremendous benefits for medical applications, specifically for finding genomic abnormalities," he said.
The algorithm appears in this week's PNAS Early Edition.
Optical mapping was developed at New York University in the late 1990s by David Schwartz, now a professor of chemistry and genetics at the University of Wisconsin-Madison. Schwartz and a collaborator at Wisconsin, Shiguo Zhou, co-authored the PNAS paper.
The power of optical mapping lies in its ability to reveal the size and large-scale structure of a genome. The method uses fluorescence microscopy to image individual DNA molecules that have been divided into orderly fragments by so-called restriction enzymes.
By imaging large numbers of an organism's DNA molecules, optical mapping can produce a map of its genome at a relatively low cost.
An optical map lacks the minute detail of a genetic sequence, but it makes up for that shortcoming in other ways, said Philip Green, a professor of genome sciences at the University of Washington who edited the PNAS paper.
Geneticists often say that humans have 99.9 percent of their DNA in common. But, Green said, "individuals occasionally have
Contact: Carl Marziali
University of Southern California