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Nathan.Watson-Haigh@csiro.au
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@nathanwatson-haighcsiroau-2863
Last seen 10.2 years ago
Hi all,
I'm new to 2-colour arrays and I've been reading with interest a few
papers
about dye-bias:
Dobbin, K., Shih, J.H. & Simon, R., 2003. Statistical design of
reverse dye
microarrays. Bioinformatics, 19(7), 803-810.
Dombkowski, A.A. et al., 2004. Gene-specific dye bias in microarray
reference
designs. FEBS Letters, 560(1-3), 120-124.
Kerr, M.K., 2003. Design Considerations for Efficient and Effective
Microarray
Studies. Biometrics, 59(4), 822-828.
Martin-Magniette, M. et al., 2005. Evaluation of the gene-specific dye
bias in
cDNA microarray experiments. Bioinformatics, 21(9), 1995-2000.
I've also been thinking about self-self hybridisations (the same
sample
hybridised to both Cy3 and Cy5):
Fang, H. et al., 2007. Self-self Hybridization As An Alternative
Experiment
Design to Dye Swap for Two-color Microarrays. OMICS: A Journal of
Integrative
Biology, 11(1), 14.
In the absence of any gene-dye interaction, the Cy3/Cy5 ratio should
be zero in
the absence of gene*dye interaction.
I'm designing how best to hybridise our samples to Agilent chips. Our
experiment
is simply a comparison between two groups with 5 biological replicates
per group
(all 10 samples are biologically independent). From my reading, a
multi-dye-swap
and loop design both have the same precision to detect differences
between the 2
groups using the same number of arrays. However, both are 4 time more
precise
(at best) than a reference design as relative abundances are measured
directly,
rather than indirectly. I'm opting for the multi-dye-swap where group
1 rep 1 is
dye-swapped with group 2 rep 1, group 1 rep 2 is dye-swapped with
group 2 rep 2
etc. This is because it is more robust in terms of missing data that
may occur.
Am I also right in thinking that it could be extended more easily than
a loop
design in the future - i.e. add additional biological replicates at a
future date?
The idea behind the dye-swap is to get a measure of the error variance
due to
dye-bias. I was wondering if were possible to obtain a better estimate
by using
self-self hybridisations and if so, how to code this into limma.
For instance, my target file might look like:
FileName Cy3 Cy5
1 G1 G2
2 G2 G1
3 G1 G2
4 G2 G1
5 G1 G2
6 G2 G1
7 G1 G2
8 G2 G1
9 G1 G2
10 G2 G1
Where G1 are biological replicates for Group 1 and G2 are biological
replicates
for Group 2. The same two RNA samples are dye-swapped e.g. array 1 and
2 are
dye-swaps of the same RNA. Could I add, or even replace the dye-swaps,
with
self-self hybs to provide a better estimate the dye-bias like this:
FileName Cy3 Cy5
1 G1 G2
2 G2 G1
3 G1 G2
4 G2 G1
5 G1 G2
6 G2 G1
7 G1 G2
8 G2 G1
9 G1 G2
10 G2 G1
11 G1 G1
12 G2 G2
I'd appreciate thoughts and comments if you have them!
Cheers,
Nathan
--
--------------------------------------------------------
Dr. Nathan S. Watson-Haigh
OCE Post Doctoral Fellow
CSIRO Livestock Industries
Queensland Bioscience Precinct
St Lucia, QLD 4067
Australia
Tel: +61 (0)7 3214 2922
Fax: +61 (0)7 3214 2900
Web: http://www.csiro.au/people/Nathan.Watson-Haigh.html