Humanht-12 V3 Expression Beadchip: How To Calculate Expression Of A Gene Having More Than One Mapped Probes?
3
0
Entering edit mode
12.7 years ago
Ttnguyen ▴ 70

Anyone knows how? Should I take the average of all probes mapped to that gene?

gene • 3.2k views
ADD COMMENT
2
Entering edit mode
12.7 years ago
Neilfws 49k

For other platforms, gene-level summaries generally use the median of probes, not the mean. You might also use a procedure called median polish.

ADD COMMENT
1
Entering edit mode
12.7 years ago
Mark Dunning ▴ 20

Hi,

Perhaps you can clarify what you mean by probes targeting the same genes? With the Illumina technology you have multiple (~20) beads that have the same probe sequence and these are known as a 'bead-type'. Combining beads for the same bead-type is done automatically for you in GenomeStudio, or in beadarray with the summarize function.

A gene can have multiple bead-types targeting it. However, averaging bead-types that target the same gene isn't really recommended for Illumina data. When a gene has multiple bead-types targeting it, the bead-types can target different isoforms of the same gene. Some isoforms might not be expressed (or have badly-designed probe sequences), so by averaging you would be diluting the signal of those isoforms that are expressed. If you want to have the data on a per-gene basis, I tend to pick the 'best' probe for each gene using a criteria such as the probe with the highest IQR. Or for a differential expression analysis should as limma, I would fit the model to all probes (probably after some filtering to remove non-informative probes) and then map to genes afterwards.

Hope this helps,

Mark

ADD COMMENT
0
Entering edit mode

Hi Mark, thanks a lot for your answer. Based on your explanation, I think bead-type would be more suitable word to say than probe.

ADD REPLY
0
Entering edit mode
12.6 years ago

I have been trained to show all the probes for that gene with the gene name next to it:

eg,

http://stemformatics.org/expressions/result?graphType=box&datasetID=2000&gene=stat1&db_id=56

ADD COMMENT

Login before adding your answer.

Traffic: 1671 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6