self-self hybridisations to estimate dye-bias
0
0
Entering edit mode
@nathanwatson-haighcsiroau-2863
Last seen 10.1 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
Microarray limma Microarray limma • 993 views

Login before adding your answer.

Traffic: 1011 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