Evidence map›Paper›PMID 26772197›Full record

ArticleGenome research2016

Mapping nucleosome positions using DNase-seq.

Jianling Zhong, Kaixuan Luo, Peter S Winter, Gregory E Crawford, Edwin S Iversen, Alexander J Hartemink

Abstract read
In one paragraph

Article in Genome research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
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

33 citing papers in PubMed.

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  16. Chromatin accessibility profiling methods.Nature reviews. Methods primers · 2021
    Article
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  18. RoboCOP: Multivariate State Space Model Integrating Epigenomic Accessibility Data to Elucidate Genome-Wide Chromatin Occupancy.Research in computational molecular biology : ... Annual International Conference, RECOMB ... : proceedings. RECOMB (Conference : 2005- ) · 2020
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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

6 authors.

Jianling ZhongProgram in Computational Biology and Bioinformatics, Duke University, Durham, North Carolina 27708, USA; Department of Computer Science, Duke University, Durham, North Carolina 27708, USA;
Kaixuan LuoProgram in Computational Biology and Bioinformatics, Duke University, Durham, North Carolina 27708, USA; Department of Computer Science, Duke University, Durham, North Carolina 27708, USA;
Peter S WinterProgram in Genetics and Genomics, Duke University, Durham, North Carolina 27708, USA; Department of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina 27708, USA;
Gregory E CrawfordProgram in Computational Biology and Bioinformatics, Duke University, Durham, North Carolina 27708, USA; Program in Genetics and Genomics, Duke University, Durham, North Carolina 27708, USA; Department of Pediatrics, Division of Medical Genetics, Duke University, Durham, North Carolina 27708, USA; Center for Genomic and Computational Biology, Duke University, Durham, North Carolina 27708, USA;
Edwin S IversenProgram in Computational Biology and Bioinformatics, Duke University, Durham, North Carolina 27708, USA; Department of Statistical Science, Duke University, Durham, North Carolina 27708, USA.
Alexander J HarteminkProgram in Computational Biology and Bioinformatics, Duke University, Durham, North Carolina 27708, USA; Department of Computer Science, Duke University, Durham, North Carolina 27708, USA; Center for Genomic and Computational Biology, Duke University, Durham, North Carolina 27708, USA; Department of Statistical Science, Duke University, Durham, North Carolina 27708, USA.

Funding

Decoding and Reprogramming the Corticosteroid Transcriptional Regulatory NetworkU01HG007900 · NHGRI · DUKE UNIVERSITY · PI REDDY, TIMOTHY E · 2015 to 2017
$5.9M
Models for Consortium Level Analysis of GxE Interaction in Complex DiseaseR21CA165916 · NCI · DUKE UNIVERSITY · PI CLYDE, MERLISE A, IVERSEN, EDWIN SEVERIN · 2012 to 2014
$388k
NCI NIH HHS R21 CA165916NCI NIH HHS R21-CA165916NHGRI NIH HHS U01 HG007900NHGRI NIH HHS U01-HG007900
6 · The paper itself

Abstract

Although deoxyribonuclease I (DNase I) was used to probe the structure of the nucleosome in the 1960s and 1970s, in the current high-throughput sequencing era, DNase I has mainly been used to study genomic regions devoid of nucleosomes. Here, we reveal for the first time that DNase I can be used to precisely map the (translational) positions of in vivo nucleosomes genome-wide. Specifically, exploiting a distinctive DNase I cleavage profile within nucleosome-associated DNA--including a signature 10.3 base pair oscillation that corresponds to accessibility of the minor groove as DNA winds around the nucleosome--we develop a Bayes-factor-based method that can be used to map nucleosome positions along the genome. Compared to methods that require genetically modified histones, our DNase-based approach is easily applied in any organism, which we demonstrate by producing maps in yeast and human. Compared to micrococcal nuclease (MNase)-based methods that map nucleosomes based on cuts in linker regions, we utilize DNase I cuts both outside and within nucleosomal DNA; the oscillatory nature of the DNase I cleavage profile within nucleosomal DNA enables us to identify translational positioning details not apparent in MNase digestion of linker DNA. Because the oscillatory pattern corresponds to nucleosome rotational positioning, it also reveals the rotational context of transcription factor (TF) binding sites. We show that potential binding sites within nucleosome-associated DNA are often centered preferentially on an exposed major or minor groove. This preferential localization may modulate TF interaction with nucleosome-associated DNA as TFs search for binding sites.

Indexed as

Chromosome MappingHigh-Throughput Nucleotide SequencingBinding SitesChromatinComputational BiologyDeoxyribonuclease IDNAGenome, FungalGenome, HumanGenomicsHumansNucleosomesNucleotide MotifsProtein BindingTranscription FactorsChromatinDeoxyribonuclease IDNANucleosomesTranscription Factors

Identifiers

PMID26772197
PMCPMC4772017

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Registered trials

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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.