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Significant impact of amount of PCR input templates on various PCR-based DNA methylation analysis and countermeasure

Methylation changes of CpG islands can be determined using PCR-based assays. However, the exact impact of the amount of input templates (TAIT) on DNA methylation analysis has not been previously recognized. Using COL2A1 gene as an input reference, TAIT difference between human tissues with methylati...

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Autores principales: Liu, Zhaojun, Zhou, Jing, Gu, Liankun, Deng, Dajun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5302926/
https://www.ncbi.nlm.nih.gov/pubmed/27487147
http://dx.doi.org/10.18632/oncotarget.10906
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author Liu, Zhaojun
Zhou, Jing
Gu, Liankun
Deng, Dajun
author_facet Liu, Zhaojun
Zhou, Jing
Gu, Liankun
Deng, Dajun
author_sort Liu, Zhaojun
collection PubMed
description Methylation changes of CpG islands can be determined using PCR-based assays. However, the exact impact of the amount of input templates (TAIT) on DNA methylation analysis has not been previously recognized. Using COL2A1 gene as an input reference, TAIT difference between human tissues with methylation-positive and −negative detection was calculated for two representative genes GFRA1 and P16. Results revealed that TAIT in GFRA1 methylation-positive frozen samples (n = 332) was significantly higher than the methylation-negative ones (n = 44) (P < 0.001). Similar difference was found in P16 methylation analysis. The TAIT-related effect was also observed in methylation-specific PCR (MSP) and denatured high performance liquid chromatography (DHPLC) analysis. Further study showed that the minimum TAIT for a successful MethyLight PCR reaction should be ≥ 9.4 ng (Ct(COL2A1) ≤ 29.3), when the cutoff value of the methylated-GFRA1 proportion for methylation-positive detection was set at 1.6%. After TAIT of the methylation non-informative frozen samples (n = 94; Ct(COL2A1) > 29.3) was increased above the minimum TAIT, the methylation-positive rate increased from 72.3% to 95.7% for GFRA1 and 26.6% to 54.3% for P16, respectively (Ps < 0.001). Similar results were observed in the FFPE samples. In conclusion, TAIT critically affects results of various PCR-based DNA methylation analyses. Characterization of the minimum TAIT for target CpG islands is essential to avoid false-negative results.
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spelling pubmed-53029262017-02-13 Significant impact of amount of PCR input templates on various PCR-based DNA methylation analysis and countermeasure Liu, Zhaojun Zhou, Jing Gu, Liankun Deng, Dajun Oncotarget Research Paper Methylation changes of CpG islands can be determined using PCR-based assays. However, the exact impact of the amount of input templates (TAIT) on DNA methylation analysis has not been previously recognized. Using COL2A1 gene as an input reference, TAIT difference between human tissues with methylation-positive and −negative detection was calculated for two representative genes GFRA1 and P16. Results revealed that TAIT in GFRA1 methylation-positive frozen samples (n = 332) was significantly higher than the methylation-negative ones (n = 44) (P < 0.001). Similar difference was found in P16 methylation analysis. The TAIT-related effect was also observed in methylation-specific PCR (MSP) and denatured high performance liquid chromatography (DHPLC) analysis. Further study showed that the minimum TAIT for a successful MethyLight PCR reaction should be ≥ 9.4 ng (Ct(COL2A1) ≤ 29.3), when the cutoff value of the methylated-GFRA1 proportion for methylation-positive detection was set at 1.6%. After TAIT of the methylation non-informative frozen samples (n = 94; Ct(COL2A1) > 29.3) was increased above the minimum TAIT, the methylation-positive rate increased from 72.3% to 95.7% for GFRA1 and 26.6% to 54.3% for P16, respectively (Ps < 0.001). Similar results were observed in the FFPE samples. In conclusion, TAIT critically affects results of various PCR-based DNA methylation analyses. Characterization of the minimum TAIT for target CpG islands is essential to avoid false-negative results. Impact Journals LLC 2016-07-28 /pmc/articles/PMC5302926/ /pubmed/27487147 http://dx.doi.org/10.18632/oncotarget.10906 Text en Copyright: © 2016 Liu et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Liu, Zhaojun
Zhou, Jing
Gu, Liankun
Deng, Dajun
Significant impact of amount of PCR input templates on various PCR-based DNA methylation analysis and countermeasure
title Significant impact of amount of PCR input templates on various PCR-based DNA methylation analysis and countermeasure
title_full Significant impact of amount of PCR input templates on various PCR-based DNA methylation analysis and countermeasure
title_fullStr Significant impact of amount of PCR input templates on various PCR-based DNA methylation analysis and countermeasure
title_full_unstemmed Significant impact of amount of PCR input templates on various PCR-based DNA methylation analysis and countermeasure
title_short Significant impact of amount of PCR input templates on various PCR-based DNA methylation analysis and countermeasure
title_sort significant impact of amount of pcr input templates on various pcr-based dna methylation analysis and countermeasure
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5302926/
https://www.ncbi.nlm.nih.gov/pubmed/27487147
http://dx.doi.org/10.18632/oncotarget.10906
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