The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Probing DNA shape and methylation state on a genomic scale with DNase I
Open accessAbstract
DNA binding proteins find their cognate sequences within genomic DNA through recognition of specific chemical and structural features. Here we demonstrate that high-resolution DNase I cleavage profiles can provide detailed information about the shape and chemical modification status of genomic DNA. Analyzing millions of DNA backbone hydrolysis events on naked genomic DNA, we show that the intrinsic rate of cleavage by DNase I closely tracks the width of the minor groove. Integration of these DNase I cleavage data with bisulfite sequencing data for the same cell type’s genome reveals that cleavage directly adjacent to cytosine-phosphate-guanine (CpG) dinucleotides is enhanced at least eightfold by cytosine methylation. This phenomenon we show to be attributable to methylation-induced narrowing of the minor groove. Furthermore, we demonstrate that it enables simultaneous mapping of DNase I hypersensitivity and regional DNA methylation levels using dense in vivo cleavage data. Taken together, our results suggest a general mechanism by which CpG methylation can modulate protein–DNA interaction strength via the remodeling of DNA shape.
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“Adding a methyl group to the cytosine could affect the local DNA shape, as evidenced by the altered DNase I digestion rate and patterns70,71.”
From Transcription factors as readers and effectors of DNA methylation (2016) · cites this paper as [71]
Citations
Cites
DNA methylation patterns and epigenetic memory
Bird, A. (2002) · Genes & Development · doi:10.1101/gad.947102 · Cited by 7,124
Human DNA methylomes at base resolution show widespread epigenomic differences
Lister, R., Pelizzola, M., Dowen, R. H., Hawkins, R. D., Hon, G., Tonti-Filippini, J., Nery, J. R., Lee, L., Ye, Z., Ngo, Q.-M., et al. (2009) · Nature · doi:10.1038/nature08514 · Cited by 4,673
DNA methylation landscapes: Provocative insights from epigenomics
Suzuki, M. M., & Bird, A. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2341 · Cited by 3,039
Weber, M., Hellmann, I., Stadler, M. B., Ramos, L., Pääbo, S., Rebhan, M., & Schübeler, D. (2007) · Nature Genetics · doi:10.1038/ng1990 · Cited by 2,297
DNAase footprinting a simple method for the detection of protein-DNA binding specificity
Galas, D. J., & Schmitz, A. (1978) · Nucleic Acids Research · doi:10.1093/nar/5.9.3157 · Cited by 2,109
Hotspots of aberrant epigenomic reprogramming in human induced pluripotent stem cells
Lister, R., Pelizzola, M., Kida, Y. S., Hawkins, R. D., Nery, J. R., Hon, G. C., Antosiewicz‐Bourget, J., O’Malley, R. C., Castanon, R., Klugman, S. A., et al. (2011) · Nature · doi:10.1038/nature09798 · Cited by 1,595
DNA methylation profiling of human chromosomes 6, 20 and 22
Eckhardt, F., Lewin, J., Cortese, R., Rakyan, V. K., Attwood, J., Burger, M., Burton, J. H., Cox, T. V., Davies, R., Down, T. A., et al. (2006) · Nature Genetics · doi:10.1038/ng1909 · Cited by 1,378
The role of DNA shape in protein–DNA recognition
Rohs, R., West, S. M., Sosinsky, A., Liu, P., Mann, R. S., & Honig, B. (2009) · Nature · doi:10.1038/nature08473 · Cited by 1,096
Self-citationIncreased methylation variation in epigenetic domains across cancer types
Hansen, K. D., Timp, W., Bravo, H. C., Sabunciyan, S., Langmead, B., McDonald, O. G., Wen, B., Wu, H., Liu, Y., Diep, D. H., et al. (2011) · Nature Genetics · doi:10.1038/ng.865 · Cited by 1,062
Chromatin accessibility pre-determines glucocorticoid receptor binding patterns
John, S., Sabo, P. J., Thurman, R. E., Sung, M.-H., Biddie, S. C., Johnson, T. A., Hager, G. L., & Stamatoyannopoulos, J. A. (2011) · Nature Genetics · doi:10.1038/ng.759 · Cited by 954
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Transcription factors as readers and effectors of DNA methylation
Zhu, H., Wang, G., & Qian, J. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.83 · Cited by 649
Chromatin accessibility profiling by ATAC-seq
Grandi, F. C., Modi, H., Kampman, L., & Corces, M. R. (2022) · Nature Protocols · doi:10.1038/s41596-022-00692-9 · Cited by 557
Absence of a simple code: how transcription factors read the genome
Slattery, M., Zhou, T., Yang, L., Dantas Machado, A. C., Gordân, R., & Rohs, R. (2014) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2014.07.002 · Cited by 537
Self-citationIdentification of transcription factor binding sites using ATAC-seq
Li, Z., Schulz, M. H., Look, T., Begemann, M., Zenke, M., & Costa, I. G. (2019) · Genome biology · doi:10.1186/s13059-019-1642-2 · Cited by 449
Global reference mapping of human transcription factor footprints
Vierstra, J., Lazar, J., Sandstrom, R., Halow, J., Lee, K., Bates, D., Diegel, M., Dunn, D., Neri, F., Haugen, E., et al. (2020) · Nature · doi:10.1038/s41586-020-2528-x · Cited by 386
Metadata
- Authors
- Lazarovici, A., Zhou, T., Shafer, A., Dantas Machado, A. C., Riley, T. R., Sandstrom, R., Sabo, P. J., Lu, Y., Rohs, R., Stamatoyannopoulos, J. A., & Bussemaker, H. J.
- Affiliations
- Columbia University (US)
- University of Southern California (US)
- University of Washington (US)
- Molecular and Computational Biology Program, Departments of Biological Sciences, Chemistry, Physics and Astronomy, and Computer Science, University of Southern California, Los Angeles, CA 90089;
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2013-04
- Volume
- 110
- Issue
- 16
- Pages
- 6376-6381
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC3631675
- OpenAlex
- W1984521378
- Cited by
- 162
- References
- 47
- Citations by year
- 2026: 6 · 2025: 5 · 2024: 9 · 2023: 4 · 2022: 14 · 2021: 15 · 2020: 11 · 2019: 19 · 2018: 12 · 2017: 17 · 2016: 13 · 2015: 19 · 2014: 12 · 2013: 6
- FWCI
- 7.47
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Human Genome Research Institute (U54HG004592, R01HG003008)
- National Cancer Institute (U54CA121852)
- 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 › Molecular Biology › DNA and Nucleic Acid Chemistry
- Keywords
- DNase I cleavage, DNA methylation, CpG, DNA shape, DNase I hypersensitivity, bisulfite sequencing, protein-DNA interactions
- MeSH terms
- Cells, Cultured, Deoxyribonuclease I, DNA, Humans, Models, Genetic, Models, Molecular, Nucleic Acid Conformation, Sequence Analysis, DNA, CpG Islands, DNA Methylation, Genomics
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