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Profiling DNA Methylomes from Microarray to Genome-Scale Sequencing
Open accessAbstract
DNA cytosine methylation is a central epigenetic modification which plays critical roles in cellular processes including genome regulation, development and disease. Here, we review current and emerging microarray and next-generation sequencing based technologies that enhance our knowledge of DNA methylation profiling. Each methodology has limitations and their unique applications, and combinations of several modalities may help build the entire methylome. With advances on next-generation sequencing technologies, it is now possible to globally map the DNA cytosine methylation at single-base resolution, providing new insights into the regulation and dynamics of DNA methylation in genomes.
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“The newly developed high throughput sequencing technology, i.e. Next Generation Sequencing (NGS), including the Roche/454 Genome Sequencer FLX Instrument, the ABI SOLiD System, and the Illumina Genome Analyser, is a powerful and cost-efficient tool for advanced research in many areas, including re-sequencing, microRNA expression profiling, DNA methylation, especially de novo transcriptome”
From De novo assembly and characterization of root transcriptome using Illumina paired-end sequencing and development of cSSR markers in sweetpotato (Ipomoea batatas) (2010) · cites this paper as [21]
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Genome-scale DNA methylation maps of pluripotent and differentiated cells
Meissner, A., Mikkelsen, T. S., Gu, H., Wernig, M., Hanna, J., Sivachenko, A., Zhang, X., Bernstein, B. E., Nusbaum, C., Jaffe, D. B., et al. (2008) · Nature · doi:10.1038/nature07107 · Cited by 2,536
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Cited by
Sorted by citations
High density DNA methylation array with single CpG site resolution
Bibikova, M., Barnes, B., Tsan, C., Ho, V., Klotzle, B., Le, J. M., Delano, D., Zhang, L., Schroth, G. P., Gunderson, K. L., et al. (2011) · Genomics · doi:10.1016/j.ygeno.2011.07.007 · Cited by 1,727
Wang, Z., Fang, B., Chen, J., Zhang, X., Luo, Z., Huang, L., Chen, X., & Li, Y. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-726 · Cited by 433
Metadata
- Authors
- Huang, Y.-W., Huang, T. H.-M., & Wang, L.-S.
- Affiliations
- The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute (US)
- Corresponding author
- Huang, Yi-Wen
- Wang, Li-Shu
- Venue
- Technology in Cancer Research & Treatment
- Publisher
- SAGE Publications
- Published
- 2010-04
- Volume
- 9
- Issue
- 2
- Pages
- 139-147
- ISSN
- 1533-0338 (ISSN-L)
- 1533-0346
- PMC
- PMC3011833
- OpenAlex
- W2154242091
- Cited by
- 72
- References
- 1
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 4 · 2022: 1 · 2021: 1 · 2020: 13 · 2019: 4 · 2018: 1 · 2017: 1 · 2016: 4 · 2015: 6 · 2014: 3 · 2013: 5 · 2012: 13
- FWCI
- 3.91
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Technology in Cancer Research & Treatment (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute (U54CA113001, R01CA148818)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Syndromes and Imprinting
- Keywords
- DNA methylation, cytosine methylation, DNA methylation profiling, DNA methylation microarrays, next-generation sequencing, epigenetics, genome regulation, multi-omics integration
- MeSH terms
- Animals, Humans, DNA Methylation, Oligonucleotide Array Sequence Analysis, Epigenesis, Genetic
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