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omation mbers - Society for Laboratory Automation and Screening

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10:30 am Thursday, February 5 Clinical – Arrays Room C1<br />

John Walker<br />

GNF<br />

10675 John Jay Hopkins Drive<br />

San Diego, Cali<strong>for</strong>nia 92121<br />

walker@gnf.org<br />

Using Reference Gene Expression Datasets to Make Sense of Your Array Data<br />

118<br />

Co-Author(s)<br />

John Hogenesch, Andrew Su,<br />

Sergei Batalov, Michael Cooke,<br />

Jie Zhang<br />

Gene function is the major focus of Genomics research today. Where <strong>and</strong> under which conditions a gene is<br />

expressed can give in<strong>for</strong>mation on its function. We have made a major ef<strong>for</strong>t in providing the public with gene<br />

expression data from normal human <strong>and</strong> rodent tissue. I will discuss how we <strong>and</strong> others have used this data to<br />

find genes responsible <strong>for</strong> human disease <strong>and</strong> mouse phenotypes. Construction <strong>and</strong> future potential uses of this<br />

data, as well as upcoming public data releases, will be discussed.<br />

11:00 am Thursday, February 5 Clinical – Arrays Room C1<br />

John Palma<br />

Affymetrix, Inc.<br />

3380 Central Expressway<br />

Santa Clara, Cali<strong>for</strong>nia 95051<br />

john_palma@affymetrix.com<br />

Molecular Tools Designed <strong>for</strong> the Clinic<br />

The completion of the draft sequence of the human genome, improvements in computing power <strong>and</strong> rapid<br />

advancements in microarray technology have accelerated the use of high density oligonucleotide microarrays.<br />

Researchers are maximizing the amount of in<strong>for</strong>mation they can obtain from precious patient samples by carrying<br />

out genome wide analyses in a single experiment. In Affymetrix’ 12 years pioneering the field, it has driven the<br />

technology <strong>for</strong>ward with marked improvements in reproducibility, sensitivity <strong>and</strong> in<strong>for</strong>mation content per array.<br />

As a testament to the acceptance <strong>and</strong> versatility of the technology, over 1400 research articles have been<br />

published based on GeneChip ® array data, with over 600 in 2002. Consistent with the single plat<strong>for</strong>m concept,<br />

the plat<strong>for</strong>m can now be used <strong>for</strong> a more biologically comprehensive approach to dissecting complex disease.<br />

Arrays are available <strong>for</strong> RNA <strong>and</strong> DNA analysis, with DNA analysis applications <strong>for</strong> both SNP genotyping <strong>and</strong><br />

custom re-sequencing ef<strong>for</strong>ts. In order to move arrays into the clinical arena, a number of challenges have been<br />

identified. These include, scalability <strong>for</strong> high throughput applications, establishment of st<strong>and</strong>ards <strong>and</strong> guidelines,<br />

recommendations from professional societies, use in large clinical studies <strong>and</strong> trials, support from advocacy<br />

groups, competitive pricing <strong>and</strong> reimbursement. Microarrays, in conjunction with patient clinical parameters<br />

<strong>and</strong> sophisticated algorithms, present the opportunity to achieve an integrated treatment approach, taking<br />

advantage of all of the clues DNA, RNA <strong>and</strong> clinical in<strong>for</strong>mation can provide. In<strong>for</strong>mation regarding advances in our<br />

technology, aut<strong>omation</strong> <strong>for</strong> high throughput array h<strong>and</strong>ling <strong>and</strong> ef<strong>for</strong>ts towards the development of guidelines <strong>and</strong><br />

st<strong>and</strong>ards will be presented.

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