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Quality control of MethyLight techno...
~
Zheng, Yanyan.
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Quality control of MethyLight technology using a statistical approach.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Quality control of MethyLight technology using a statistical approach./
作者:
Zheng, Yanyan.
面頁冊數:
56 p.
附註:
Source: Masters Abstracts International, Volume: 44-01, page: 0232.
Contained By:
Masters Abstracts International44-01.
標題:
Biology, Biostatistics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1427987
ISBN:
9780542209321
Quality control of MethyLight technology using a statistical approach.
Zheng, Yanyan.
Quality control of MethyLight technology using a statistical approach.
- 56 p.
Source: Masters Abstracts International, Volume: 44-01, page: 0232.
Thesis (M.S.)--University of Southern California, 2005.
MethyLight is a powerful tool for large-scale DNA methylation study. It is based on real-time PCR technology with high output and efficiency. Experimental variations during sample handling, such as different columns on a 96-well plate, using different plates or PCR machines may affect the outcome of the MethyLight study. In addition, the primer and probe design for different genes may also contribute to the variability in the outcome measures. In this thesis, a systematic statistical study is used to address the above questions.
ISBN: 9780542209321Subjects--Topical Terms:
1018416
Biology, Biostatistics.
Quality control of MethyLight technology using a statistical approach.
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MethyLight is a powerful tool for large-scale DNA methylation study. It is based on real-time PCR technology with high output and efficiency. Experimental variations during sample handling, such as different columns on a 96-well plate, using different plates or PCR machines may affect the outcome of the MethyLight study. In addition, the primer and probe design for different genes may also contribute to the variability in the outcome measures. In this thesis, a systematic statistical study is used to address the above questions.
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The experimental variability was accessed using CT values generated in real-time PCR. We studied a panel of 110 genes and found that for 99 genes, over 80% of the variability in the mean CT value could be attributed to the plate effects.
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Further investigation suggested the effects were chronological, and not due to the fact that plates were run on different machines. An analysis characterizing primer and probe sets found no statistically significant association between mean CT value and oligo length, GC content, CpG number, CpG density or CpG location (p > 0.05 for all).
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Finally, we found that the parameter, percentage of positively methylated samples, was marginally associated with CT value when dichotomizing the PMR at 0, but not at 10. This suggests that using a cutoff of 10 will be robust against different sensitivities of the marker due to their varying CT values.
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