Santa Clara, California
January 12, 2004
Affymetrix, Inc.,
(Nasdaq: AFFX) today announced that it is launching the
GeneChip® Consortia Design Program, a collaborative initiative
that will bring Affymetrix and plant and animal research
communities together to create novel whole-genome arrays. Under
the new program, Affymetrix will underwrite the design fees
required to produce the new arrays, putting industry-standard
GeneChip technology within reach of virtually any research
community.
Genomic
community groups have already embraced this new initiative and
there are currently plans to produce 12 new array designs under
the Consortia Design Program this year: wheat, rice, poplar,
corn, pig, cow, chicken, grape, soy, tomato, cotton and citrus.
"We have
selected Affymetrix as our microarray platform of choice for the
Vitis (grape) microarray consortia because Affymetrix GeneChip
arrays are robust, reliable, easy to use, highly reproducible,
and cost-effective," said John C. Cushman, Ph.D., Professor of
Biochemistry at the University of Nevada, Reno and a member of
the International Grape Genome Consorita. "Affymetrix arrays use
11 probe pairs of 25 mers per transcript giving multiple
independent measurements of hybridization. Multiple probe pairs
offer the best specificity without compromising sensitivity, and
are more accurate than a single longer oligo measurement. Not
only will the data quality be extremely high, but a single
platform within the Vitis community will allow any number of
data comparisons to be made within and across laboratories."
Affymetrix has worked closely with genomic community groups
worldwide for several years, developing Drosophila,
Pseuodomonas, Arabidopsis, Barley, Xenopus and Zebrafish
whole-genome arrays via the catalog and CustomExpress(TM)
programs. By waiving the array design fee and helping these
groups with sequence selection and other design issues, the
Consortia Design Program will offer genomic community groups an
opportunity to consolidate their sequence data on the Affymetrix
industry standard array platform.
"The
rapidly growing number of sequences for a wide variety of
organisms, the increasing popularity of the GeneChip array
system and the success of our other collaborative designs
contributed to our decision to start the consortia program,"
said Lianne McLean, Director, Gene Expression Marketing,
Affymetrix. "Perhaps the biggest factor is the way that our
arrays are being embraced by the academic community. Over 2,000
peer reviewed papers have been published using Affymetrix
technology, with over 1,000 published just last year alone."
Past
consortia designs have shown that Affymetrix collaborative
design process helps ensure that the content on the array is as
comprehensive as possible and meets the communities' needs.
Additionally, engaging the worldwide community in the design
effort has prompted researchers to include previously
unpublished EST data, increasing the total amount of information
available and improving the quality of the final design.
All
content and annotations from the Consortia Design Program arrays
will be hosted in the NetAffx Data Analysis Center at
www.affymetrix.com. This online resource integrates access
to the data generated by Affymetrix' GeneChip arrays with
biological information available in a broad range of public and
private databases. Regular annotation updates will be provided
by Affymetrix at no cost to these communities.
Affymetrix is a pioneer in creating breakthrough tools that are
driving the genomic revolution. By applying the principles of
semiconductor technology to the life sciences, Affymetrix
develops and commercializes systems that enable scientists to
improve the quality of life. The Company's customers include
pharmaceutical, biotechnology, agrichemical, diagnostics and
consumer products companies as well as academic, government and
other non-profit research institutes. Affymetrix offers an
expanding portfolio of integrated products and services,
including its integrated GeneChip® platform, to address growing
markets focused on understanding the relationship between genes
and human health. |