RNA degradation plot of transcript arrays
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Assa Yeroslaviz ★ 1.5k
@assa-yeroslaviz-1597
Last seen 3 days ago
Germany
Hi everyone, We are working on the affymetrix transcript arrays (HuGene-1_0-st-v1). As a first step I ran a quality control check. One of the steps was the RNA degradation plot. As I know it from the other Oligonucleotide arrays, in the best case scenario the mean intensity is low at the 5' end and gets higher towards the 3' end. What I got in this analysis was a different picture (see attachment). Here it goes higher and in the middle down again. Is this behaviour a normal situation for transcript arrays? Can someone point me to a paper or an explanation for this behaviour? Thanks a lot Assa -------------- next part -------------- A non-text attachment was scrubbed... Name: RNA_Deg_plot.png Type: image/png Size: 56105 bytes Desc: not available URL: <https: stat.ethz.ch="" pipermail="" bioconductor="" attachments="" 20121030="" 4ed91576="" attachment.png="">
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@james-w-macdonald-5106
Last seen 1 day ago
United States
Hi Assa, On 10/30/2012 5:18 AM, Assa Yeroslaviz wrote: > Hi everyone, > > We are working on the affymetrix transcript arrays (HuGene- 1_0-st-v1). As a > first step I ran a quality control check. One of the steps was the RNA > degradation plot. > > As I know it from the other Oligonucleotide arrays, in the best case > scenario the mean intensity is low at the 5' end and gets higher towards > the 3' end. > What I got in this analysis was a different picture (see attachment). > > Here it goes higher and in the middle down again. Is this behaviour a > normal situation for transcript arrays? Yes. The 3'-biased arrays all used oligo-dT as primer, so the IVT step always started at the 3' end of the mRNA. This gave a 3' bias for two main reasons; first, you start the IVT at the 3' end, so if the transcription fails (on average) before reaching the 5' end, you will have comparatively more sequence from the 3' end. Second, by definition any mRNA that is transcribed using oligo-dT isn't degraded at the 3' end (because if it were, the primer wouldn't attach). But there is no restriction on degradation from the 5' end. So the mRNA species you are transcribing are biased in that they are all not degraded at the 3' end, but may well be degraded to a greater or lesser extent on the 5' end. However, with the ST arrays, we are now using random primers, so we are no longer biasing towards either end. In fact we are biasing AGAINST the ends, because we can use mRNA that is being degraded (on average) from either end. If the transcripts are not degraded at all, (and we assume the IVT step transcribes from the primer to the end of the transcript on average), then we should expect the RNA degradation plot to be exactly opposite of what you see with the 3' biased arrays. Best, Jim > > Can someone point me to a paper or an explanation for this behaviour? > > Thanks a lot > > > Assa > > > _______________________________________________ > Bioconductor mailing list > Bioconductor at r-project.org > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor -- James W. MacDonald, M.S. Biostatistician University of Washington Environmental and Occupational Health Sciences 4225 Roosevelt Way NE, # 100 Seattle WA 98105-6099
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