Single-cell ATAC-seq: strength in numbers
- PMID: 26294014
- PMCID: PMC4546161
- DOI: 10.1186/s13059-015-0737-7
Single-cell ATAC-seq: strength in numbers
Abstract
Single-cell ATAC-seq detects open chromatin in individual cells. Currently data are sparse, but combining information from many single cells can identify determinants of cell-to-cell chromatin variation.
Figures

Comment on
-
Multiplex single cell profiling of chromatin accessibility by combinatorial cellular indexing.Science. 2015 May 22;348(6237):910-4. doi: 10.1126/science.aab1601. Epub 2015 May 7. Science. 2015. PMID: 25953818 Free PMC article.
-
Single-cell chromatin accessibility reveals principles of regulatory variation.Nature. 2015 Jul 23;523(7561):486-90. doi: 10.1038/nature14590. Epub 2015 Jun 17. Nature. 2015. PMID: 26083756 Free PMC article.
Similar articles
-
Single-cell chromatin accessibility reveals principles of regulatory variation.Nature. 2015 Jul 23;523(7561):486-90. doi: 10.1038/nature14590. Epub 2015 Jun 17. Nature. 2015. PMID: 26083756 Free PMC article.
-
Coupled Single-Cell CRISPR Screening and Epigenomic Profiling Reveals Causal Gene Regulatory Networks.Cell. 2019 Jan 10;176(1-2):361-376.e17. doi: 10.1016/j.cell.2018.11.022. Epub 2018 Dec 20. Cell. 2019. PMID: 30580963 Free PMC article.
-
Preprocessing and Computational Analysis of Single-Cell Epigenomic Datasets.Methods Mol Biol. 2019;1935:187-202. doi: 10.1007/978-1-4939-9057-3_13. Methods Mol Biol. 2019. PMID: 30758828
-
Epigenetics reloaded: the single-cell revolution.Trends Cell Biol. 2014 Nov;24(11):712-23. doi: 10.1016/j.tcb.2014.08.010. Epub 2014 Oct 3. Trends Cell Biol. 2014. PMID: 25283892 Review.
-
Single-cell and single-molecule epigenomics to uncover genome regulation at unprecedented resolution.Nat Genet. 2019 Jan;51(1):19-25. doi: 10.1038/s41588-018-0290-x. Epub 2018 Dec 17. Nat Genet. 2019. PMID: 30559489 Review.
Cited by
-
Decoding transcriptional enhancers: Evolving from annotation to functional interpretation.Semin Cell Dev Biol. 2016 Sep;57:40-50. doi: 10.1016/j.semcdb.2016.05.014. Epub 2016 May 22. Semin Cell Dev Biol. 2016. PMID: 27224938 Free PMC article. Review.
-
Kernel-based testing for single-cell differential analysis.Genome Biol. 2024 May 3;25(1):114. doi: 10.1186/s13059-024-03255-1. Genome Biol. 2024. PMID: 38702740 Free PMC article.
-
Gene trajectory inference for single-cell data by optimal transport metrics.Nat Biotechnol. 2025 Feb;43(2):258-268. doi: 10.1038/s41587-024-02186-3. Epub 2024 Apr 5. Nat Biotechnol. 2025. PMID: 38580861 Free PMC article.
-
The intersectional genetics landscape for humans.Gigascience. 2020 Aug 1;9(8):giaa083. doi: 10.1093/gigascience/giaa083. Gigascience. 2020. PMID: 32761099 Free PMC article.
-
Deep learning approaches for non-coding genetic variant effect prediction: current progress and future prospects.Brief Bioinform. 2024 Jul 25;25(5):bbae446. doi: 10.1093/bib/bbae446. Brief Bioinform. 2024. PMID: 39276327 Free PMC article. Review.
References
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources