The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Combining ATAC-seq with nuclei sorting for discovery of cis-regulatory regions in plant genomes
Open accessAbstract
Chromatin structure plays a pivotal role in facilitating proper control of gene expression. Transcription factor (TF) binding of cis-elements is often associated with accessible chromatin regions. Therefore, the ability to identify these accessible regions throughout plant genomes will advance understanding of the relationship between TF binding, chromatin status and the regulation of gene expression. Assay for Transposase Accessible Chromatin sequencing (ATAC-seq) is a recently developed technique used to map open chromatin zones in animal genomes. However, in plants, the existence of cell walls, subcellular organelles and the lack of stable cell lines have prevented routine application of this technique. Here, we describe an assay combining ATAC-seq with fluorescence-activated nuclei sorting (FANS) to identify and map open chromatin and TF-binding sites in plant genomes. FANS-ATAC-seq compares favorably with published DNaseI sequencing (DNase-seq) results and it requires less than 50 000 nuclei for accurate identification of accessible genomic regions. SUMMARY: Application of ATAC-seq to sorted nuclei identifies accessible regions genome-wide.
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BEDTools: a flexible suite of utilities for comparing genomic features
Quinlan, A. R., & Hall, I. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq033 · Cited by 27,437
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
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
Single-cell chromatin accessibility reveals principles of regulatory variation
Buenrostro, J. D., Wu, B., Litzenburger, U. M., Ruff, D., Gonzales, M. L., Snyder, M. P., Chang, H. Y., & Greenleaf, W. J. (2015) · Nature · doi:10.1038/nature14590 · Cited by 2,308
ChIP–seq: advantages and challenges of a maturing technology
Park, P. J. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2641 · Cited by 2,217
Circuitry and Dynamics of Human Transcription Factor Regulatory Networks
Neph, S., Stergachis, A. B., Reynolds, A., Sandstrom, R., Borenstein, E., & Stamatoyannopoulos, J. A. (2012) · Cell · doi:10.1016/j.cell.2012.04.040 · Cited by 467
He, H. H., Meyer, C. A., Hu, S. S., Chen, M.-W., Zang, C., Liu, Y., Rao, P. K., Fei, T., Xu, H., Long, H., et al. (2014) · Nature Methods · doi:10.1038/nmeth.2762 · Cited by 218
Cited by
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
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Metadata
- Authors
- Lu, Z., Hofmeister, B. T., Vollmers, C., DuBois, R. M., & Schmitz, R. J.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-11-28
- Volume
- 45
- Issue
- 6
- Pages
- e41-e41
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2558928133
- Cited by
- 318
- References
- 7
- FWCI
- 7.98
- Type
- journal article
- Language
- en
- Open access
- gold
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