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We currently use Affymetrix GeneChip Technology to generate mouse, rat and human expression profiles for our projects. The GeneChip platform consists of oligonucleotide arrays, instruments to process and analyze the arrays, and software tools to manage and mine the data. So far, expression profiles have been generated using the GeneChip® Murine Genome 11K and U74 Set. The 11K set consists of 2 probe arrays (Mu11KsubA, Mu11KsubB) which allow one to monitor the relative abundance of greater than 11,000 genes from mRNA transcripts and EST clusters. Out of the three probe arrays of the U74 set, we use the MGU74A GeneChip containing 12,654 elements. It was discovered that 25% of the probes on the MgU74 array set were incorrectly oriented and therefore unusable. A mask file that could be interpreted by MAS to leave blank fields for incorrect probe sets was generated and this mask file has been applied to all our text files that have been generated by these arrays. A revised chip with corrected sequences, MgU74Av2, was generated and used for separate experiments.

The GeneChip Instrument System consisting of the workstation, GeneArrayTM Scanner, Fluidics Station 400, and Hybridization Oven 640 is available to us through the Harvard Center of Genomic Research

Previous scanner versions used a photon multiplier tube (PMT) gain of 100%, which allowed for fluorescent intensities to become easily saturated. New scanner settings use a PMT of 10%, which increases the range of intensity values that are detected. Values from arrays that have been scanned at different settings can no longer be directly compared. The scanner setting and array type will be noted on each experiment's downloadable data page.

Over the past years, Affymetrix technology has been proven to be highly reproducible and standardized, and is therefore widely used in the scientific community. An investigator elsewhere who wishes to compare his experimental mouse model to our database of expression profiles can simply download the raw data from this website and generate a new series of gene expression changes.

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Participants

Researchers

Role

Seigo Izumo Principal Investigator
John Aach Collaborator
Martina Schinke Co-principal Investigator
George Church Collaborator
Wayne Rindone Collaborator
Lauren Riggi Research Technician
Daniel Chen Research Technician
Jeffrey Brown Research Technician
Towia Libermann Collaborator
Sek Won Kong Bioinformatician
Terry Strom Collaborator


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