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SEEMLIS: a flexible semi-automated method for enrichment of methylated DNA from low-input samples
BACKGROUND: DNA methylation alterations have emerged as hallmarks of cancer and have been proposed as screening, prognostic, and predictive biomarkers. Traditional approaches for methylation analysis have relied on bisulfite conversion of DNA, which can damage DNA and is not suitable for targeted ge...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908705/ https://www.ncbi.nlm.nih.gov/pubmed/35272673 http://dx.doi.org/10.1186/s13148-022-01252-4 |
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author | Rodems, Tamara S. Juang, Duane S. Stahlfeld, Charlotte N. Gilsdorf, Cole S. Krueger, Tim E. G. Heninger, Erika Zhao, Shuang G. Sperger, Jamie M. Beebe, David J. Haffner, Michael C. Lang, Joshua M. |
author_facet | Rodems, Tamara S. Juang, Duane S. Stahlfeld, Charlotte N. Gilsdorf, Cole S. Krueger, Tim E. G. Heninger, Erika Zhao, Shuang G. Sperger, Jamie M. Beebe, David J. Haffner, Michael C. Lang, Joshua M. |
author_sort | Rodems, Tamara S. |
collection | PubMed |
description | BACKGROUND: DNA methylation alterations have emerged as hallmarks of cancer and have been proposed as screening, prognostic, and predictive biomarkers. Traditional approaches for methylation analysis have relied on bisulfite conversion of DNA, which can damage DNA and is not suitable for targeted gene analysis in low-input samples. Here, we have adapted methyl-CpG-binding domain protein 2 (MBD2)-based DNA enrichment for use on a semi-automated exclusion-based sample preparation (ESP) platform for robust and scalable enrichment of methylated DNA from low-input samples, called SEEMLIS. RESULTS: We show that combining methylation-sensitive enzyme digestion with ESP-based MBD2 enrichment allows for single gene analysis with high sensitivity for GSTP1 in highly impure, heterogenous samples. We also show that ESP-based MBD2 enrichment coupled with targeted pre-amplification allows for analysis of multiple genes with sensitivities approaching the single cell level in pure samples for GSTP1 and RASSF1 and sensitivity down to 14 cells for these genes in highly impure samples. Finally, we demonstrate the potential clinical utility of SEEMLIS by successful detection of methylated gene signatures in circulating tumor cells (CTCs) from patients with prostate cancer with varying CTC number and sample purity. CONCLUSIONS: SEEMLIS is a robust assay for targeted DNA methylation analysis in low-input samples, with flexibility at multiple steps. We demonstrate the feasibility of this assay to analyze DNA methylation in prostate cancer cells using CTCs from patients with prostate cancer as a real-world example of a low-input analyte of clinical importance. In summary, this novel assay provides a platform for determining methylation signatures in rare cell populations with broad implications for research as well as clinical applications. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-022-01252-4. |
format | Online Article Text |
id | pubmed-8908705 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89087052022-03-18 SEEMLIS: a flexible semi-automated method for enrichment of methylated DNA from low-input samples Rodems, Tamara S. Juang, Duane S. Stahlfeld, Charlotte N. Gilsdorf, Cole S. Krueger, Tim E. G. Heninger, Erika Zhao, Shuang G. Sperger, Jamie M. Beebe, David J. Haffner, Michael C. Lang, Joshua M. Clin Epigenetics Methodology BACKGROUND: DNA methylation alterations have emerged as hallmarks of cancer and have been proposed as screening, prognostic, and predictive biomarkers. Traditional approaches for methylation analysis have relied on bisulfite conversion of DNA, which can damage DNA and is not suitable for targeted gene analysis in low-input samples. Here, we have adapted methyl-CpG-binding domain protein 2 (MBD2)-based DNA enrichment for use on a semi-automated exclusion-based sample preparation (ESP) platform for robust and scalable enrichment of methylated DNA from low-input samples, called SEEMLIS. RESULTS: We show that combining methylation-sensitive enzyme digestion with ESP-based MBD2 enrichment allows for single gene analysis with high sensitivity for GSTP1 in highly impure, heterogenous samples. We also show that ESP-based MBD2 enrichment coupled with targeted pre-amplification allows for analysis of multiple genes with sensitivities approaching the single cell level in pure samples for GSTP1 and RASSF1 and sensitivity down to 14 cells for these genes in highly impure samples. Finally, we demonstrate the potential clinical utility of SEEMLIS by successful detection of methylated gene signatures in circulating tumor cells (CTCs) from patients with prostate cancer with varying CTC number and sample purity. CONCLUSIONS: SEEMLIS is a robust assay for targeted DNA methylation analysis in low-input samples, with flexibility at multiple steps. We demonstrate the feasibility of this assay to analyze DNA methylation in prostate cancer cells using CTCs from patients with prostate cancer as a real-world example of a low-input analyte of clinical importance. In summary, this novel assay provides a platform for determining methylation signatures in rare cell populations with broad implications for research as well as clinical applications. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-022-01252-4. BioMed Central 2022-03-10 /pmc/articles/PMC8908705/ /pubmed/35272673 http://dx.doi.org/10.1186/s13148-022-01252-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Methodology Rodems, Tamara S. Juang, Duane S. Stahlfeld, Charlotte N. Gilsdorf, Cole S. Krueger, Tim E. G. Heninger, Erika Zhao, Shuang G. Sperger, Jamie M. Beebe, David J. Haffner, Michael C. Lang, Joshua M. SEEMLIS: a flexible semi-automated method for enrichment of methylated DNA from low-input samples |
title | SEEMLIS: a flexible semi-automated method for enrichment of methylated DNA from low-input samples |
title_full | SEEMLIS: a flexible semi-automated method for enrichment of methylated DNA from low-input samples |
title_fullStr | SEEMLIS: a flexible semi-automated method for enrichment of methylated DNA from low-input samples |
title_full_unstemmed | SEEMLIS: a flexible semi-automated method for enrichment of methylated DNA from low-input samples |
title_short | SEEMLIS: a flexible semi-automated method for enrichment of methylated DNA from low-input samples |
title_sort | seemlis: a flexible semi-automated method for enrichment of methylated dna from low-input samples |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908705/ https://www.ncbi.nlm.nih.gov/pubmed/35272673 http://dx.doi.org/10.1186/s13148-022-01252-4 |
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