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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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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. |
format | Online Article Text |
id | pubmed-5302926 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
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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