Single-Cell DNA Methylation Analysis in Cancer
Morphological, transcriptomic, and genomic defects are well-explored parameters of cancer biology. In more recent years, the impact of epigenetic influences, such as DNA methylation, is becoming more appreciated. Aberrant DNA methylation has been implicated in many types of cancers, influencing cell...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Cancers |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-6694/14/24/6171 |
| _version_ | 1797461113877561344 |
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| author | Hannah O’Neill Heather Lee Ishaan Gupta Euan J. Rodger Aniruddha Chatterjee |
| author_facet | Hannah O’Neill Heather Lee Ishaan Gupta Euan J. Rodger Aniruddha Chatterjee |
| author_sort | Hannah O’Neill |
| collection | DOAJ |
| description | Morphological, transcriptomic, and genomic defects are well-explored parameters of cancer biology. In more recent years, the impact of epigenetic influences, such as DNA methylation, is becoming more appreciated. Aberrant DNA methylation has been implicated in many types of cancers, influencing cell type, state, transcriptional regulation, and genomic stability to name a few. Traditionally, large populations of cells from the tissue of interest are coalesced for analysis, producing averaged methylome data. Considering the inherent heterogeneity of cancer, analysing populations of cells as a whole denies the ability to discover novel aberrant methylation patterns, identify subpopulations, and trace cell lineages. Due to recent advancements in technology, it is now possible to obtain methylome data from single cells. This has both research and clinical implications, ranging from the identification of biomarkers to improved diagnostic tools. As with all emerging technologies, distinct experimental, bioinformatic, and practical challenges present themselves. This review begins with exploring the potential impact of single-cell sequencing on understanding cancer biology and how it could eventually benefit a clinical setting. Following this, the techniques and experimental approaches which made this technology possible are explored. Finally, the present challenges currently associated with single-cell DNA methylation sequencing are described. |
| first_indexed | 2024-03-09T17:14:48Z |
| format | Article |
| id | doaj.art-e4feea2051ea4234bf9569b81b1cb696 |
| institution | Directory Open Access Journal |
| issn | 2072-6694 |
| language | English |
| last_indexed | 2024-03-09T17:14:48Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Cancers |
| spelling | doaj.art-e4feea2051ea4234bf9569b81b1cb6962023-11-24T13:47:23ZengMDPI AGCancers2072-66942022-12-011424617110.3390/cancers14246171Single-Cell DNA Methylation Analysis in CancerHannah O’Neill0Heather Lee1Ishaan Gupta2Euan J. Rodger3Aniruddha Chatterjee4Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin 9016, New ZealandSchool of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW 2308, AustraliaDepartment of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, New Delhi 110016, IndiaDepartment of Pathology, Dunedin School of Medicine, University of Otago, Dunedin 9016, New ZealandDepartment of Pathology, Dunedin School of Medicine, University of Otago, Dunedin 9016, New ZealandMorphological, transcriptomic, and genomic defects are well-explored parameters of cancer biology. In more recent years, the impact of epigenetic influences, such as DNA methylation, is becoming more appreciated. Aberrant DNA methylation has been implicated in many types of cancers, influencing cell type, state, transcriptional regulation, and genomic stability to name a few. Traditionally, large populations of cells from the tissue of interest are coalesced for analysis, producing averaged methylome data. Considering the inherent heterogeneity of cancer, analysing populations of cells as a whole denies the ability to discover novel aberrant methylation patterns, identify subpopulations, and trace cell lineages. Due to recent advancements in technology, it is now possible to obtain methylome data from single cells. This has both research and clinical implications, ranging from the identification of biomarkers to improved diagnostic tools. As with all emerging technologies, distinct experimental, bioinformatic, and practical challenges present themselves. This review begins with exploring the potential impact of single-cell sequencing on understanding cancer biology and how it could eventually benefit a clinical setting. Following this, the techniques and experimental approaches which made this technology possible are explored. Finally, the present challenges currently associated with single-cell DNA methylation sequencing are described.https://www.mdpi.com/2072-6694/14/24/6171DNA methylationsingle cellcancer |
| spellingShingle | Hannah O’Neill Heather Lee Ishaan Gupta Euan J. Rodger Aniruddha Chatterjee Single-Cell DNA Methylation Analysis in Cancer Cancers DNA methylation single cell cancer |
| title | Single-Cell DNA Methylation Analysis in Cancer |
| title_full | Single-Cell DNA Methylation Analysis in Cancer |
| title_fullStr | Single-Cell DNA Methylation Analysis in Cancer |
| title_full_unstemmed | Single-Cell DNA Methylation Analysis in Cancer |
| title_short | Single-Cell DNA Methylation Analysis in Cancer |
| title_sort | single cell dna methylation analysis in cancer |
| topic | DNA methylation single cell cancer |
| url | https://www.mdpi.com/2072-6694/14/24/6171 |
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