Evidence map›Paper›PMID 31519205›Full record

ArticleGenome biology2019

Quantitative MNase-seq accurately maps nucleosome occupancy levels.

Răzvan V Chereji, Terri D Bryson, Steven Henikoff

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

86 citing papers in PubMed, 150 citations in OpenAlex.

  1. ATAC-seq and MNase-seq Detect Distinct Modes of Chromatin Accessibility.bioRxiv : the preprint server for biology · 2026
    Article
  2. Satellite DNAs in Drosophila koepferae (repleta group) reveal patterns of origin, chromosomal organization, transcription, and turnover in the buzzatii cluster.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2026
    Article
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  5. CAD-C: An engineered nuclease enables repair-freebioRxiv : the preprint server for biology · 2026
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26 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Răzvan V CherejiDivision of Developmental Biology, Eunice Kennedy Shriver National Institute for Child Health and Human Development, National Institutes of Health, Bethesda, MD, 20892, USA.
Terri D BrysonHoward Hughes Medical Institute and Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.
Steven HenikoffHoward Hughes Medical Institute and Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA. steveh@fhcrc.org.ORCID 0000-0002-7621-8685
Howard Hughes Medical Institute · USNational Institutes of Health · US

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Micrococcal nuclease (MNase) is widely used to map nucleosomes. However, its aggressive endo-/exo-nuclease activities make MNase-seq unreliable for determining nucleosome occupancies, because cleavages within linker regions produce oligo- and mono-nucleosomes, whereas cleavages within nucleosomes destroy them. Here, we introduce a theoretical framework for predicting nucleosome occupancies and an experimental protocol with appropriate spike-in normalization that confirms our theory and provides accurate occupancy levels over an MNase digestion time course. As with human cells, we observe no overall differences in nucleosome occupancies between Drosophila euchromatin and heterochromatin, which implies that heterochromatic compaction does not reduce MNase accessibility of linker DNA.

Indexed as

Micrococcal NucleaseNucleosomesSequence Analysis, DNAAnimalsBase SequenceCell LineChromatinDNADrosophila melanogasterHigh-Throughput Nucleotide SequencingKineticsTranscription, GeneticChromatinDNAMicrococcal NucleaseNucleosomesChromatinLinker DNANuclease digestion kinetics

Identifiers

PMID31519205
PMCPMC6743174
OpenAlexW2972564110

What OpenQuestion holds

Textmetadata
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.