omation mbers - Society for Laboratory Automation and Screening
omation mbers - Society for Laboratory Automation and Screening
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.