Scientists have designed a new molecular tool, dubbed "LigAmp," to pinpoint DNA mutations among thousands of cells, the equivalent of searching for a single typo in an entire library of books. Preliminary studies in a small number of cell lines and body fluids show the ultra-sensitive test may help detect microscopic cancer and HIV drug resistance.
"Other molecular tests make it very difficult to locate a mutation in a particular cell surrounded by thousands of other cells that don't have the mutation," says James Eshleman, M.D., Ph.D., who led the study with colleagues from the Johns Hopkins Department of Pathology and Kimmel Cancer Center. "LigAmp essentially filters background 'noise' caused by normal cells and reveals specific mutations."
The researchers say that sensitive tests to locate mutations could identify cancer in patients at high-risk for the disease. Such tests could even help detect a recurrence of cancer by monitoring whether the number of mutations rises above a predetermined threshold value.
In addition to cancer detection, the Hopkins mutation-finder appears able to detect drug-resistant HIV. The team tested it on blood samples from a handful of patients with HIV and located DNA mistakes in the virus itself that make it resistant to certain antiretroviral drugs. Results of analyses of the new test are published in the November issue of Nature Methods.
"We designed LigAmp to improve how we look for extremely subtle variations in viral and cellular DNA," says Eshleman, an associate professor of pathology and oncology and associate director for the DNA Diagnostics Laboratory at Johns Hopkins. "The molecular code of normal cells may look identical to cancerous except for a single rung in the DNA ladder-structure."
The test works by creating a molecular "magnet" with an affinity for the DNA mistake, also known as a point mutation. If the mutation is found, the magnet binds to it and inserts a bacterial gene. The bacterial gene serves as a red flag and produces a fluorescent color visible to powerful computer programs.