The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Validation of a DNA Methylation Microarray for 850,000 CpG Sites of the Human Genome Enriched in Enhancer Sequences
Open accessAbstract
AIM: DNA methylation is the best known epigenetic mark. Cancer and other pathologies show an altered DNA methylome. However, delivering complete DNA methylation maps is compromised by the price and labor-intensive interpretation of single nucleotide methods. MATERIAL & METHODS: Following the success of the HumanMethylation450 BeadChip (Infinium) methylation microarray (450K), we report the technical and biological validation of the newly developed MethylationEPIC BeadChip (Infinium) microarray that covers over 850,000 CpG methylation sites (850K). The 850K microarray contains >90% of the 450K sites, but adds 333,265 CpGs located in enhancer regions identified by the ENCODE and FANTOM5 projects. RESULTS & CONCLUSION: The 850K array demonstrates high reproducibility at the 450K CpG sites, is consistent among technical replicates, is reliable in the matched study of fresh frozen versus formalin-fixed paraffin-embeded samples and is also useful for 5-hydroxymethylcytosine. These results highlight the value of the MethylationEPIC BeadChip as a useful tool for the analysis of the DNA methylation profile of the human genome.
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Human DNA methylomes at base resolution show widespread epigenomic differences
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Master Transcription Factors and Mediator Establish Super-Enhancers at Key Cell Identity Genes
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Self-citationA decade of exploring the cancer epigenome—biological and translational implications
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Cited by
ChAMP: updated methylation analysis pipeline for Illumina BeadChips
Tian, Y., Morris, T. J., Webster, A. P., Yang, Z., Beck, S., Feber, A., & Teschendorff, A. E. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx513 · Cited by 1,091
Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi
Fortin, J.-P., Triche, T. J., & Hansen, K. D. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btw691 · Cited by 865
Teschendorff, A. E., Breeze, C. E., Zheng, S. C., & Beck, S. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1511-5 · Cited by 544
Epigenetic profiling to classify cancer of unknown primary: a multicentre, retrospective analysis
Moran, S., Martínez-Cardús, A., Sayols, S., Musulén, E., Balañá, C., Estival-Gonzalez, A., Moutinho, C., Heyn, H., Diaz-Lagares, A., de Moura, M. C., et al. (2016) · The Lancet Oncology · doi:10.1016/s1470-2045(16)30297-2 · Cited by 484
Self-citationProfiling genome-wide DNA methylation
Yong, W.-S., Hsu, F.-M., & Chen, P.-Y. (2016) · Epigenetics & Chromatin · doi:10.1186/s13072-016-0075-3 · Cited by 374
Metadata
- Authors
- Moran, S., Arribas, C., & Esteller, M.
- Venue
- Epigenomics
- Publisher
- Informa UK Limited
- Published
- 2015-12-17
- Volume
- 8
- Issue
- 3
- Pages
- 389-399
- ISSN
- 1750-1911 (ISSN-L)
- 1750-192X
- OpenAlex
- W2206368938
- Cited by
- 697
- References
- 37
- FWCI
- 16.73
- Type
- journal article
- Language
- en
- Open access
- hybrid
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