Why are some genes labeled absent
(A) but show significant levels of expression?
This discrepancy arises because the Affymetrix GeneChip probe array
technology independently evaluates signal intensity and signal specificity.
As a result two different algorithms are used to measure signal
intensity (i.e., expression level) and presence or absence (i.e.,
P or A) of the transcript. In cases where the specificity is low,
the algorithm labels the gene as absent or marginal, but still reports
the expression level that was detected. These anomalous results
can indicate the existence of homologs, alternatively spliced products,
or nucleotide polymorphisms as well as errors in the GenBank sequence.
How can I download the expression
data to my own computer?
Currently, you can only download the data by performing a copy
and paste process. You can then view and analyze the data using
a spreadsheet (e.g. Excel) or comparable program. In the future
we will add an ftp function.
Which tissues
will you add to the database?
We are currently processing most major organ systems and will be
adding the following tissues in the coming months: brain, blood
cell, kidney, spinal cord, liver, lung, heart, adrenal, muscle,
duodenum, colon, prostate and spleen. Please feel free to make a
suggestion for future work or contact us if you are interested in
submitting a tissue sample.
Can I submit
data to the database?
Yes, you can submit your own Affymetrix data to our database. Please
contact us regarding appropriate data analysis and submission procedures.
Why did you fail
to detect a gene that I know is present?Or, what is the lower limit
of mRNA signal detection?
The Affymetrix detection procedure involves a linear amplification
process that increases the sensitivity of the assay. The arbitrary
scale used in this database can routinely distinguish genes with
expression levels of 100 (on our arbitrary scale). This level likely
represents a few mRNA copies per cell. Thus, very low abundance
mRNAs (i.e., <3 copies/cell) may not be detected. Please notify
us of these types of discrepancies so we can make notations in the
database.
What are the
units of the expression level?
The units are arbitrary, ranging from 0 to
approximately 10,000. All data are processed identically so that
data can be compared across samples and tissues.