The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
Long-range single-molecule mapping of chromatin accessibility in eukaryotes
Open accessPublished version of a preprint
Abstract
Mapping open chromatin regions has emerged as a widely used tool for identifying active regulatory elements in eukaryotes. However, existing approaches, limited by reliance on DNA fragmentation and short-read sequencing, cannot provide information about large-scale chromatin states or reveal coordination between the states of distal regulatory elements. We have developed a method for profiling the accessibility of individual chromatin fibers, a single-molecule long-read accessible chromatin mapping sequencing assay (SMAC-seq), enabling the simultaneous, high-resolution, single-molecule assessment of chromatin states at multikilobase length scales. Our strategy is based on combining the preferential methylation of open chromatin regions by DNA methyltransferases with low sequence specificity, in this case EcoGII, an N 6-methyladenosine (m 6 A) methyltransferase, and the ability of nanopore sequencing to directly read DNA modifications. We demonstrate that aggregate SMAC-seq signals match bulk-level accessibility measurements, observe single-molecule nucleosome and transcription factor protection footprints, and quantify the correlation between chromatin states of distal genomic elements.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“single-molecule footprinting methods that use methyltransferases to mark accessible sites11–15 can provide quantitative measurements of these binding states across individual molecules”
From Single-molecule states link transcription factor binding to gene expression (2024) · cites this paper as [14]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849
Trapnell, C., Roberts, A., Goff, L. A., Pertea, G. M., Kim, D., Kelley, D. R., Pimentel, H., Salzberg, S. L., Rinn, J. L., & Pachter, L. S. (2012) · Nature Protocols · doi:10.1038/nprot.2012.016 · Cited by 12,145
MEME SUITE: tools for motif discovery and searching
Bailey, T. L., Boden, M., Buske, F. A., Frith, M., Grant, C. E., Clementi, L., Ren, J., Li, W. W., & Noble, W. S. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkp335 · Cited by 10,648
Comprehensive Mapping of Long-Range Interactions Reveals Folding Principles of the Human Genome
Lieberman-Aiden, E., van Berkum, N. L., Williams, L., Imakaev, M., Ragoczy, T., Telling, A., Amit, I., Lajoie, B. R., Sabo, P. J., Dorschner, M. O., et al. (2009) · Science · doi:10.1126/science.1181369 · Cited by 8,898
Buenrostro, J. D., Giresi, P. G., Zaba, L. C., Chang, H. Y., & Greenleaf, W. J. (2013) · Nature Methods · doi:10.1038/nmeth.2688 · Cited by 6,422
Self-citationBismark: a flexible aligner and methylation caller for Bisulfite-Seq applications
Krueger, F., & Andrews, S. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr167 · Cited by 5,275
FIMO: scanning for occurrences of a given motif
Grant, C. E., Bailey, T. L., & Noble, W. S. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr064 · Cited by 4,247
An improved ATAC-seq protocol reduces background and enables interrogation of frozen tissues
Corces, M. R., Trevino, A. E., Hamilton, E. G., Greenside, P. G., Sinnott-Armstrong, N. A., Vesuna, S., Satpathy, A. T., Rubin, A. J., Montine, K. S., Wu, B., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4396 · Cited by 2,496
Self-citationHighly Integrated Single-Base Resolution Maps of the Epigenome in Arabidopsis
Lister, R., O’Malley, R. C., Tonti‐Filippini, J., Gregory, B. D., Berry, C. C., Millar, A. H., & Ecker, J. R. (2008) · Cell · doi:10.1016/j.cell.2008.03.029 · Cited by 2,424
Identifying ChIP-seq enrichment using MACS
Feng, J., Liu, T., Qin, B., Zhang, Y., & Liu, X. S. (2012) · Nature Protocols · doi:10.1038/nprot.2012.101 · Cited by 1,848
Cited by
Sorted by citations
Nanopore sequencing technology, bioinformatics and applications
Wang, Y., Zhao, Y., Bollas, A., Wang, Y., & Au, K. F. (2021) · Nature Biotechnology · doi:10.1038/s41587-021-01108-x · Cited by 1,863
Epigenetic patterns in a complete human genome
Gershman, A., Sauria, M. E. G., Guitart, X., Vollger, M. R., Hook, P. W., Hoyt, S. J., Jain, M., Shumate, A., Razaghi, R., Koren, S., et al. (2022) · Science · doi:10.1126/science.abj5089 · Cited by 297
Single-molecule regulatory architectures captured by chromatin fiber sequencing
Stergachis, A. B., Debo, B. M., Haugen, E., Churchman, L. S., & Stamatoyannopoulos, J. A. (2020) · Science · doi:10.1126/science.aaz1646 · Cited by 257
Lee, I., Razaghi, R., Gilpatrick, T., Molnar, M. M., Gershman, A., Sadowski, N., Sedlazeck, F. J., Hansen, K. D., Simpson, J. T., & Timp, W. (2020) · Nature Methods · doi:10.1038/s41592-020-01000-7 · Cited by 219
Chromatin accessibility profiling methods
Minnoye, L., Marinov, G. K., Krausgruber, T., Pan, L., Marand, A. P., Secchia, S., Greenleaf, W. J., Furlong, E. E. M., Zhao, K., Schmitz, R. J., et al. (2021) · Nature Reviews Methods Primers · doi:10.1038/s43586-020-00008-9 · Cited by 206
Self-citation
Metadata
- Authors
- Shipony, Z., Marinov, G. K., Swaffer, M. P., Sinnott-Armstrong, N. A., Skotheim, J. M., Kundaje, A., & Greenleaf, W. J.
- Affiliations
- Stanford University (US)
- Chan Zuckerberg Biohub San Francisco (US)
- Corresponding author
- Greenleaf, William J.
- ORCID
- Venue
- Nature Methods
- Published
- 2020-02-10
- Volume
- 17
- Issue
- 3
- Pages
- 319-327
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- PMC
- PMC7968351
- OpenAlex
- W3004849394
- Cited by
- 160
- References
- 70
- Citations by year
- 2026: 20 · 2025: 23 · 2024: 34 · 2023: 29 · 2022: 18 · 2021: 24 · 2020: 10
- FWCI
- 6.73
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Nature Methods (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (P50HG007735, 1R01HG008140-01A1, 1UM1HG009442, 1UM1HG009436, 1U01HG009431)
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases (U19AI057266)
- Human Frontier Science Program (RGY006S, LT 000835/2017)
- European Molecular Biology Organization (1119-2016)
- SU | School of Medicine, Stanford University
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
- Keywords
- chromatin accessibility, open chromatin, single-molecule long-read sequencing, nanopore sequencing, DNA methylation, N6-methyladenosine, nucleosome positioning, transcription factor binding, distal regulatory elements
- MeSH terms
- Adenosine, Cell Line, Chromatin, Humans, Methylation, Methyltransferases, Nucleosomes, Promoter Regions, Genetic, Protein Binding, Saccharomyces cerevisiae, CpG Islands, DNA Methylation, Chromatin Immunoprecipitation, DNA Fragmentation, High-Throughput Nucleotide Sequencing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review