Question: Combining arrays arrays from different tissues and different labs.
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gravatar for marco zucchelli
12.2 years ago by
marco zucchelli320 wrote:
Hi, I would like to check for differential expression on arrays downloaded from public databases. I was reading somewhere that it might be not very wise to normalize together arrays produced from different tissues and different labs. In practice I would like to compare mouse embryos from one experiment with mouse adult tissues from another experiment. Does somebody have an opinion on this ? I tried to normalized the adult arrays and the embryo arrays separately, rescale them to the same median and then extract the expression values from all the arrays together (with li.wong method). I tried also to normalize and extract the expression values for all the arrays together with the same method. The results seem to be pretty similar. In this case the amplification protocols used are different since embryo material is very small.. Best regards Marco
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ADD COMMENTlink modified 12.2 years ago by Kevin R. Coombes140 • written 12.2 years ago by marco zucchelli320
Answer: Combining arrays arrays from different tissues and different labs.
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gravatar for Kevin R. Coombes
12.2 years ago by
Kevin R. Coombes140 wrote:
Hi, Most normalization methods assume (either explicitly or implicitly) something about the distributions of values within each sample. At the very least, they assume that some properties of these distributions are the same. The case of mouse embryos and adult tissues illustrates one of the places these assumptions are likely to be violated. For instance, [1] is the number of expressed genes the same? [2] are there roughly equal numbers of high, medium, and low expressing genes? [3] is the median expression level the same? [4] is the total RNA per cell the same? Since genes are getting turned on and off at various rates in the development from embryo to adult, and since embryonic cells are actively proliferating and differentiating in ways that normal adult cells are not, it seems to me that there is no good reason to believe (without experimental data supporting it) that anything about the distributions are the same. If you normalize within (but not between) the two data sets, you should be able to start to answer questions [1] and [2]. If the answers are "yes", then it makes sense to start thinking about how to normalize between the two data sets.... Kevin marco zucchelli wrote: > Hi, > > I would like to check for differential expression on arrays > downloaded from public databases. > I was reading somewhere that it might be not very wise to normalize > together arrays produced from different tissues and different labs. > > In practice I would like to compare mouse embryos from one experiment > with mouse adult tissues from another experiment. > > Does somebody have an opinion on this ? > > I tried to normalized the adult arrays and the embryo arrays > separately, rescale them to the same median and then extract the > expression values from all the arrays together (with li.wong method). > I tried also to normalize and extract the expression values for all > the arrays together with the same method. The results seem to be > pretty similar. > > In this case the amplification protocols used are different since > embryo material is very small.. > > Best regards > > > Marco > > _______________________________________________ > Bioconductor mailing list > Bioconductor at stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor
ADD COMMENTlink written 12.2 years ago by Kevin R. Coombes140
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