GCRMA and background
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Amy Mikhail ▴ 460
@amy-mikhail-1317
Last seen 10.2 years ago
Dear list, Was just following Richard's posts about GCRMA, and I'm curious to know why sequences would affect background - is it that some nucleotides have stronger binding affinities to dies than others or...? Also is this mainly a problem for affy arrays or does it also affect spotted ones? Cheers, Amy. > -GCRMA assumes log normal distribution for background. It also assumes > that the parameters of that log normal distribution depends on the > probe sequence (a little more complicated than just GC content). Therefore > it uses "similar" probes to estimate those parameters. Which probes are > similar is determined by their sequences. ------------------------------------------- Amy Mikhail Research student University of Aberdeen Zoology Building Tillydrone Avenue Aberdeen AB24 2TZ Scotland Email: a.mikhail at abdn.ac.uk Phone: 00-44-1224-272880 (lab)
probe affy gcrma probe affy gcrma • 873 views
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@james-w-macdonald-5106
Last seen 5 hours ago
United States
Amy Mikhail wrote: > Dear list, > > Was just following Richard's posts about GCRMA, and I'm curious to know > why sequences would affect background - is it that some nucleotides have > stronger binding affinities to dies than others or...? No, it doesn't have anything to do with affinities to the dyes (in fact, Affy doesn't use a dye like cDNA arrays, but uses a fluophore called phycoerythrin). The affinities being modeled here are those between the target (fragmented cRNA) and probes (25-mers bound to the chip). The basic idea is that the guanosine - cytidine binding is 'stronger' due to the fact that there are three hydrogen bonds as compared to two for adenosine - thymidine. However, as Zhijin noted, it is a bit more complicated than just GC content - it also has to do with where the guanosine and cytidine bases are located in the sequences as well. Best, Jim > > Also is this mainly a problem for affy arrays or does it also affect > spotted ones? > > Cheers, > Amy. > > > >>-GCRMA assumes log normal distribution for background. It also assumes >>that the parameters of that log normal distribution depends on the >>probe sequence (a little more complicated than just GC content). Therefore >>it uses "similar" probes to estimate those parameters. Which probes are >>similar is determined by their sequences. > > > > ------------------------------------------- > Amy Mikhail > Research student > University of Aberdeen > Zoology Building > Tillydrone Avenue > Aberdeen AB24 2TZ > Scotland > Email: a.mikhail at abdn.ac.uk > Phone: 00-44-1224-272880 (lab) > > _______________________________________________ > Bioconductor mailing list > Bioconductor at stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor -- James W. MacDonald Affymetrix and cDNA Microarray Core University of Michigan Cancer Center 1500 E. Medical Center Drive 7410 CCGC Ann Arbor MI 48109 734-647-5623
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Hi Jim, Mikhail, JIM> Affy doesn't use a dye like cDNA arrays I would agree on that... JIM> No, it doesn't have anything to do with affinities to the dyes Maybe it should be added that according to Naef and Magnasco the biotinilation impedes the binding which is in return of interest because only U and C are biotinylated. Would you agree on that Jim or did I misunderstand something? Richard, have a look at "Solving the riddle of the bright mismatches: Labeling and effective binding in oligonucleotide arrays" by Naef and Magnasco, that is the paper I think is discussing the issue. In addition to the three versus two hydrogen bond aspect, again according to the paper mentioned above, the affinity has to do something with the size of the dNTPs. Note that we have pyrimidines (U,C) which are smaller in size than the purines (A,G). When you have a mismatch somewhere in the binding sequence ( some nonperfect match) the affinity of the binding is highly depending on how the mismatch looks like: if two small bases come to stand against each other, they just dangle and you only loose the binding energy of the hydrogen bonds. However if some purines face each other you get a steric problem. Based on these findings, on page 3 of the paper you get a potential explanation why we sometimes observe higher mismatch signals than perfect match signals. However I'm not quite sure how these aspects are directly incoparated into GCRMA. I just remember that Zhijin referred in their paper to the Naef+Magnasco one. regards Benjamin
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