CDC Unveils the FluChip

Published: Aug 30, 2006
Updated: Feb 2, 2021
2 minute read
eWeek のコンテンツおよび製品のおすすめは、編集上の独立性を保っています。パートナーへのリンクをクリックすると、当社が報酬を得る場合があります。 詳細を見る

The Centers for Disease Control and Prevention and the University of Colorado at Boulder have developed a microchip-based test that distinguishes between flu strains and can even help trace the strains back to their origins.

The FluChip can be used to identify 72 influenza strains—including the H5N1 avian influenza strain that is currently of such concern—in fewer than 12 hours.

This technology can be used to make sophisticated influenza diagnostic capabilities more widely available to labs around the globe, not just concentrated with the CDC and a few major international laboratories.

“The ability to quickly and accurately identify strains of influenza would be invaluable to international flu surveillance efforts,” said National Institute of Allergy and Infectious Diseases director Anthony Fauci.

The FluChip is a microarray, commonly called a gene chip. Microarrays can be made by using a robotic arm to drop hundreds or thousands of spots of genetic material—DNA or RNA—of known sequence onto a microscope slide.

The spots, called probes, are then exposed to a sample of unknown composition—for instance, material taken from a person with an undiagnosed illness.

Probes that match gene sequences of bacteria or viruses present in the sample result in capture of the target gene. By analyzing the pattern of captured targets, doctors can diagnose the cause of infection.

Researchers started with nearly 5,000 flu gene sequences, and then they used the data mining process to select 55 flu RNA sequences for use as probes on the FluChip.

/zimages/1/28571.gifGrid computing efforts fight avian flu.Click hereto read more.

The probes included ones to enable the detection of two of the most common flu strains currently circulating in humans, the H1N1 and H3N2 strains, as well as the avian flu strain H5N1.

Results after two rounds of tests showed that the FluChip led to the correct information about both type and subtype in 72 percent of samples.

Full information on type and only partial information on subtype was garnered for 13 percent of samples, while 10 percent of samples could be identified by type only with no information about subtype.

Advertisement

It took about 11 hours to conduct the tests.

“This state-of-the-art research is vital to our efforts to protect the nations health, and it may provide a new tool in our toolbox in the fight against influenza,” said CDC director Julie Gerberding.

/zimages/1/28571.gifCheck out eWEEK.coms for the latest news, views and analysis of technologys impact on health care.

Stacy Lawrence

Stacy Lawrence

Content Writer

Stacy Lawrence is co-editor of CIOInsight.com's Health Care Center. Lawrence has covered IT and the life sciences for various publications, including Business 2.0, Red Herring, The Industry Standard and Nature Biotechnology. Before becoming a journalist, Lawrence attended New York University and continued on in the sociology doctoral program at UC Berkeley.

eWeek Logo

eWeek has the latest technology news and analysis, buying guides, and product reviews for IT professionals and technology buyers. The site's focus is on innovative solutions and covering in-depth technical content. eWeek stays on the cutting edge of technology news and IT trends through interviews and expert analysis. Gain insight from top innovators and thought leaders in the fields of IT, business, enterprise software, startups, and more.

TechnologyAdvice が所有・運営しています。 © 2026 TechnologyAdvice. 無断転載を禁じます

広告主に関する開示:このサイトに掲載されている製品の一部は、TechnologyAdvice が報酬を受け取っている企業のものです。この報酬は、製品がこのサイトのどこにどのように表示されるか(表示される順序など)に影響する場合があります。TechnologyAdvice は、市場で入手可能なすべての企業やすべての種類の製品を掲載しているわけではありません。