Evidence map›Paper›PMID 31416914›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Nucleosome positions alone can be used to predict domains in yeast chromosomes.

Oliver Wiese, Davide Marenduzzo, Chris A Brackley

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 60 citations in OpenAlex.

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  14. Linking DNA-packing density distribution and TAD boundary locations.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  17. Physical modeling of nucleosome clustering in euchromatin resulting from interactions between epigenetic reader proteins.Proceedings of the National Academy of Sciences of the United States of America · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 2 countries.

Oliver WieseSchool of Physics and Astronomy, University of Edinburgh, Edinburgh EH9 3FD, United Kingdom.
Davide MarenduzzoSchool of Physics and Astronomy, University of Edinburgh, Edinburgh EH9 3FD, United Kingdom.
Chris A BrackleySchool of Physics and Astronomy, University of Edinburgh, Edinburgh EH9 3FD, United Kingdom C.Brackley@ed.ac.uk.ORCID 0000-0002-5973-8179
Institut Pasteur · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We use molecular dynamics simulations based on publicly available micrococcal nuclease sequencing data for nucleosome positions to predict the 3D structure of chromatin in the yeast genome. Our main aim is to shed light on the mechanism underlying the formation of chromosomal interaction domains, chromosome regions of around 0.5 to 10 kbp which show enriched self-interactions, which were experimentally observed in recent MicroC experiments (importantly these are at a different length scale from the 100- to 1,000-kbp-sized domains observed in higher eukaryotes). We show that the sole input of nucleosome positioning data is already sufficient to determine the patterns of chromatin interactions and domain boundaries seen experimentally to a high degree of accuracy. Since the nucleosome spacing so strongly affects the larger-scale domain structure, we next examine the genome-wide linker-length distribution in more detail, finding that it is highly irregular and varies in different genomic regions such as gene bodies, promoters, and active and inactive genes. Finally we use our simple simulation model to characterize in more detail how irregular nucleosome spacing may affect local chromatin structure.

Indexed as

Chromatin Assembly and DisassemblyChromosomes, FungalNucleosomesSaccharomyces cerevisiaeNucleosomeschromatin domainsMicroCpolymer simulations

Identifiers

PMID31416914
PMCPMC6717315
OpenAlexW2967111145

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.