Cargando…

An improved sequencing-based strategy to estimate locus-specific DNA methylation

BACKGROUND: DNA methylation is an important epigenetic mechanism of transcriptional control that plays an essential role in several cellular functions. Aberrant DNA methylation in cancer has been frequently associated with downregulation of microRNAs and protein coding genes, such as miR-200c/miR-14...

Descripción completa

Detalles Bibliográficos
Autores principales: Brisotto, Giulia, di Gennaro, Alessandra, Damiano, Valentina, Armellin, Michela, Perin, Tiziana, Maestro, Roberta, Santarosa, Manuela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4578270/
https://www.ncbi.nlm.nih.gov/pubmed/26391005
http://dx.doi.org/10.1186/s12885-015-1646-6
_version_ 1782391090008031232
author Brisotto, Giulia
di Gennaro, Alessandra
Damiano, Valentina
Armellin, Michela
Perin, Tiziana
Maestro, Roberta
Santarosa, Manuela
author_facet Brisotto, Giulia
di Gennaro, Alessandra
Damiano, Valentina
Armellin, Michela
Perin, Tiziana
Maestro, Roberta
Santarosa, Manuela
author_sort Brisotto, Giulia
collection PubMed
description BACKGROUND: DNA methylation is an important epigenetic mechanism of transcriptional control that plays an essential role in several cellular functions. Aberrant DNA methylation in cancer has been frequently associated with downregulation of microRNAs and protein coding genes, such as miR-200c/miR-141 cluster and E-cadherin. Current strategies to assess DNA methylation, including bisulfite treatment-based assays, tend to be time-consuming and may be quite expensive when a precise appraisal is required. The Sanger-sequencing of the amplified bisulfite-treated DNA (BSP) might represent a practical option to measure DNA methylation at single CpG resolution. However, this strategy often produces noisy data, which affects accurate quantification. Here we propose an improved, reliable and cost-effective BSP-based protocol that allows proper DNA methylation assessment. METHODS: Our strategy, named normalized-BSP (NBSP), takes advantage of tailed C-balanced primers and a normalization procedure based on C/T ratio to overcome BSP-associated noise problems and nucleotide signal unbalance. NBSP was applied to estimate miR-200c/miR-141 locus methylation in serial dilution experiments and was compared to conventional methods. Besides, it was applied in the analysis of FFPE breast cancer samples and further validated in the context of the E-cadherin promoter. RESULTS: NBSP strategy outperformed conventional BSP in the estimate of the fraction of methylated cytosine in serial dilution experiments, providing data in agreement with the widely used but cumbersome cloning-based protocol. This held true for both miR-200c/miR-141 locus and E-cadherin promoter analyses. Moreover, the miR-200c/miR-141 locus methylation reflected the decrease in miRNA expression both in breast cancer cell lines and in the FFPE samples. CONCLUSIONS: NBSP is a rapid and economical method to estimate the extent of methylation at each CpG of a given locus. Notably, NBSP works efficiently on FFPE samples, thus disclosing the perspective of its application also in the diagnostic setting. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-015-1646-6) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4578270
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-45782702015-09-23 An improved sequencing-based strategy to estimate locus-specific DNA methylation Brisotto, Giulia di Gennaro, Alessandra Damiano, Valentina Armellin, Michela Perin, Tiziana Maestro, Roberta Santarosa, Manuela BMC Cancer Technical Advance BACKGROUND: DNA methylation is an important epigenetic mechanism of transcriptional control that plays an essential role in several cellular functions. Aberrant DNA methylation in cancer has been frequently associated with downregulation of microRNAs and protein coding genes, such as miR-200c/miR-141 cluster and E-cadherin. Current strategies to assess DNA methylation, including bisulfite treatment-based assays, tend to be time-consuming and may be quite expensive when a precise appraisal is required. The Sanger-sequencing of the amplified bisulfite-treated DNA (BSP) might represent a practical option to measure DNA methylation at single CpG resolution. However, this strategy often produces noisy data, which affects accurate quantification. Here we propose an improved, reliable and cost-effective BSP-based protocol that allows proper DNA methylation assessment. METHODS: Our strategy, named normalized-BSP (NBSP), takes advantage of tailed C-balanced primers and a normalization procedure based on C/T ratio to overcome BSP-associated noise problems and nucleotide signal unbalance. NBSP was applied to estimate miR-200c/miR-141 locus methylation in serial dilution experiments and was compared to conventional methods. Besides, it was applied in the analysis of FFPE breast cancer samples and further validated in the context of the E-cadherin promoter. RESULTS: NBSP strategy outperformed conventional BSP in the estimate of the fraction of methylated cytosine in serial dilution experiments, providing data in agreement with the widely used but cumbersome cloning-based protocol. This held true for both miR-200c/miR-141 locus and E-cadherin promoter analyses. Moreover, the miR-200c/miR-141 locus methylation reflected the decrease in miRNA expression both in breast cancer cell lines and in the FFPE samples. CONCLUSIONS: NBSP is a rapid and economical method to estimate the extent of methylation at each CpG of a given locus. Notably, NBSP works efficiently on FFPE samples, thus disclosing the perspective of its application also in the diagnostic setting. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-015-1646-6) contains supplementary material, which is available to authorized users. BioMed Central 2015-09-21 /pmc/articles/PMC4578270/ /pubmed/26391005 http://dx.doi.org/10.1186/s12885-015-1646-6 Text en © Brisotto et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Technical Advance
Brisotto, Giulia
di Gennaro, Alessandra
Damiano, Valentina
Armellin, Michela
Perin, Tiziana
Maestro, Roberta
Santarosa, Manuela
An improved sequencing-based strategy to estimate locus-specific DNA methylation
title An improved sequencing-based strategy to estimate locus-specific DNA methylation
title_full An improved sequencing-based strategy to estimate locus-specific DNA methylation
title_fullStr An improved sequencing-based strategy to estimate locus-specific DNA methylation
title_full_unstemmed An improved sequencing-based strategy to estimate locus-specific DNA methylation
title_short An improved sequencing-based strategy to estimate locus-specific DNA methylation
title_sort improved sequencing-based strategy to estimate locus-specific dna methylation
topic Technical Advance
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4578270/
https://www.ncbi.nlm.nih.gov/pubmed/26391005
http://dx.doi.org/10.1186/s12885-015-1646-6
work_keys_str_mv AT brisottogiulia animprovedsequencingbasedstrategytoestimatelocusspecificdnamethylation
AT digennaroalessandra animprovedsequencingbasedstrategytoestimatelocusspecificdnamethylation
AT damianovalentina animprovedsequencingbasedstrategytoestimatelocusspecificdnamethylation
AT armellinmichela animprovedsequencingbasedstrategytoestimatelocusspecificdnamethylation
AT perintiziana animprovedsequencingbasedstrategytoestimatelocusspecificdnamethylation
AT maestroroberta animprovedsequencingbasedstrategytoestimatelocusspecificdnamethylation
AT santarosamanuela animprovedsequencingbasedstrategytoestimatelocusspecificdnamethylation
AT brisottogiulia improvedsequencingbasedstrategytoestimatelocusspecificdnamethylation
AT digennaroalessandra improvedsequencingbasedstrategytoestimatelocusspecificdnamethylation
AT damianovalentina improvedsequencingbasedstrategytoestimatelocusspecificdnamethylation
AT armellinmichela improvedsequencingbasedstrategytoestimatelocusspecificdnamethylation
AT perintiziana improvedsequencingbasedstrategytoestimatelocusspecificdnamethylation
AT maestroroberta improvedsequencingbasedstrategytoestimatelocusspecificdnamethylation
AT santarosamanuela improvedsequencingbasedstrategytoestimatelocusspecificdnamethylation