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Our understanding of the beads-on-a-string arrangement of nucleosomes has been built largely on high-resolution sequence-agnostic imaging methods and sequence-resolved bulk biochemical techniques. To bridge the divide between these approaches, we present the single-molecule adenine methylated oligonucleosome sequencing assay (SAMOSA). SAMOSA is a high-throughput single-molecule sequencing method that combines adenine methyltransferase footprinting and single-molecule real-time DNA sequencing to natively and nondestructively measure nucleosome positions on individual chromatin fibres. SAMOSA data allows unbiased classification of single-molecular 'states' of nucleosome occupancy on individual chromatin fibres. We leverage this to estimate nucleosome regularity and spacing on single chromatin fibres genome-wide, at predicted transcription factor binding motifs, and across human epigenomic domains. Our analyses suggest that chromatin is comprised of both regular and irregular single-molecular oligonucleosome patterns that differ subtly in their relative abundance across epigenomic domains. This irregularity is particularly striking in constitutive heterochromatin, which has typically been viewed as a conformationally static entity. Our proof-of-concept study provides a powerful new methodology for studying nucleosome organization at a previously intractable resolution and offers up new avenues for modeling and visualizing higher order chromatin structure.
Site-Specific DNA-Methyltransferase (Adenine-Specific), Biomedical and clinical sciences, Protein Conformation, Epigenesis, Genetic, Histones, genetics, Biology (General), Q, R, high-throughput sequencing, High-Throughput Nucleotide Sequencing, Acetylation, Biological Sciences, Chromosomes and Gene Expression, Chromatin, Single Molecule Imaging, Nucleosomes, Biological sciences, single-molecule sequencing, Medicine, nucleosome positioning, 570, chromosomes, QH301-705.5, 1.1 Normal biological development and functioning, Science, Bioinformatics and Computational Biology, Bioengineering, Proof of Concept Study, Genetic, Underpinning research, Genetics, genomics, Humans, human, Protein Processing, Binding Sites, Human Genome, Post-Translational, Health sciences, DNA, nucleosomes, gene expression, Nucleic Acid Conformation, chromatin, Generic health relevance, Biochemistry and Cell Biology, K562 Cells, gene regulation, Protein Processing, Post-Translational, Epigenesis, Transcription Factors
Site-Specific DNA-Methyltransferase (Adenine-Specific), Biomedical and clinical sciences, Protein Conformation, Epigenesis, Genetic, Histones, genetics, Biology (General), Q, R, high-throughput sequencing, High-Throughput Nucleotide Sequencing, Acetylation, Biological Sciences, Chromosomes and Gene Expression, Chromatin, Single Molecule Imaging, Nucleosomes, Biological sciences, single-molecule sequencing, Medicine, nucleosome positioning, 570, chromosomes, QH301-705.5, 1.1 Normal biological development and functioning, Science, Bioinformatics and Computational Biology, Bioengineering, Proof of Concept Study, Genetic, Underpinning research, Genetics, genomics, Humans, human, Protein Processing, Binding Sites, Human Genome, Post-Translational, Health sciences, DNA, nucleosomes, gene expression, Nucleic Acid Conformation, chromatin, Generic health relevance, Biochemistry and Cell Biology, K562 Cells, gene regulation, Protein Processing, Post-Translational, Epigenesis, Transcription Factors
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 55 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
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