ArticleNucleic acids research2014
Quantifying the role of steric constraints in nucleosome positioning.
Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Epigenetic engineering of yeast reveals dynamic molecular adaptation to methylation stress and genetic modulators of specific DNMT3 family members.Nucleic acids research · 2020Article
- A unified computational framework for modeling genome-wide nucleosome landscape.Physical biology · 2018Article
- N6-adenine DNA methylation is associated with the linker DNA of H2A.Z-containing well-positioned nucleosomes in Pol II-transcribed genes in Tetrahymena.Nucleic acids research · 2017Article
- Categorical spectral analysis of periodicity in nucleosomal DNA.Nucleic acids research · 2016Article
- Genome-wide profiling of nucleosome sensitivity and chromatin accessibility in Drosophila melanogaster.Nucleic acids research · 2016Article
- RSC-dependent constructive and destructive interference between opposing arrays of phased nucleosomes in yeast.Genome research · 2014Article
- Regulation of the nucleosome repeat length in vivo by the DNA sequence, protein concentrations and long-range interactions.PLoS computational biology · 2014Article
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Authors and funding
2 authors.
Funding
Abstract
Statistical positioning, the localization of nucleosomes packed against a fixed barrier, is conjectured to explain the array of well-positioned nucleosomes at the 5' end of genes, but the extent and precise implications of statistical positioning in vivo are unclear. We examine this hypothesis quantitatively and generalize the idea to include moving barriers as well as nucleosomes actively packed against a barrier. Early experiments noted a similarity between the nucleosome profile aligned and averaged across genes and that predicted by statistical positioning; however, we demonstrate that aligning random nucleosomes also generates the same profile, calling the previous interpretation into question. New rigorous results reformulate statistical positioning as predictions on the variance structure of nucleosome locations in individual genes. In particular, a quantity termed the variance gradient, describing the change in variance between adjacent nucleosomes, is tested against recent high-throughput nucleosome sequencing data. Constant variance gradients provide support for generalized statistical positioning in ∼ 50% of long genes. Genes that deviate from predictions have high nucleosome turnover and cell-to-cell gene expression variability. The observed variance gradient suggests an effective nucleosome size of 158 bp, instead of the commonly perceived 147 bp. Our analyses thus clarify the role of statistical positioning in vivo.
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