Evidence map›Paper›PMID 34050337›Full record

ArticleNature protocols2021

Hi-CO: 3D genome structure analysis with nucleosome resolution.

Masae Ohno, Tadashi Ando, David G Priest, Yuichi Taniguchi

Abstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. Review
  7. Article
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  9. Article
  10. Transcriptional Regulation and Implications for ControllingJournal of developmental biology · 2022
    Review
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

4 authors at 3 institutions in 2 countries.

Masae OhnoLaboratory for Cell Systems Control, RIKEN Center for Biosystems Dynamics Research, Osaka, Japan.ORCID http://orcid.org/0000-0002-0860-6790
Tadashi AndoLaboratory for Biomolecular Function Simulation, Quantitative Biology Center, RIKEN, Kobe, Japan.
David G PriestLaboratory for Cell Systems Control, RIKEN Center for Biosystems Dynamics Research, Osaka, Japan.
Yuichi TaniguchiLaboratory for Cell Systems Control, RIKEN Center for Biosystems Dynamics Research, Osaka, Japan. ytaniguchi@icems.kyoto-u.ac.jp.ORCID http://orcid.org/0000-0001-5677-8901
Kyoto University · JPThe University of Melbourne · AUTokyo University of Science · JP

Funding

MEXT | Japan Society for the Promotion of Science (JSPS) 19H05545MEXT | Japan Society for the Promotion of Science (JSPS) 20H00460MEXT | Japan Society for the Promotion of Science (JSPS) 20K20458MEXT | Japan Society for the Promotion of Science (JSPS) 23115005MEXT | Japan Society for the Promotion of Science (JSPS) 26650055MEXT | JST | Precursory Research for Embryonic Science and Technology (PRESTO) JPMJPR15F7
6 · The paper itself

Abstract

The nucleosome is the basic organizational unit of the genome. The folding structure of nucleosomes is closely related to genome functions, and has been reported to be in dynamic interplay with binding of various nuclear proteins to genomic loci. Here, we describe our high-throughput chromosome conformation capture with nucleosome orientation (Hi-CO) technology to derive 3D nucleosome positions with their orientations at every genomic locus in the nucleus. This technology consists of an experimental procedure for nucleosome proximity analysis and a computational procedure for 3D modeling. The experimental procedure is based on an improved method of high-throughput chromosome conformation capture (Hi-C) analysis. Whereas conventional Hi-C allows spatial proximity analysis among genomic loci with 1-10 kbp resolution, our Hi-CO allows proximity analysis among DNA entry or exit points at every nucleosome locus. This analysis is realized by carrying out ligations among the entry/exit points in every nucleosome in a micrococcal-nuclease-fragmented genome, and by quantifying frequencies of ligation products with next-generation sequencing. Our protocol has enabled this analysis by cleanly excluding unwanted non-ligation products that are abundant owing to the frequent genome fragmentation by micrococcal nuclease. The computational procedure is based on simulated annealing-molecular dynamics, which allows determination of optimized 3D positions and orientations of every nucleosome that satisfies the proximity ligation data sufficiently well. Typically, examination of the Saccharomyces cerevisiae genome with 130 million sequencing reads facilitates analysis of a total of 66,360 nucleosome loci with 6.8 nm resolution. The technique requires 2-3 weeks for sequencing library preparation and 2 weeks for simulation.

Indexed as

Genome, FungalBase SequenceHigh-Throughput Nucleotide SequencingMolecular Dynamics SimulationNucleosomesSaccharomyces cerevisiaeNucleosomes

Identifiers

PMID34050337
OpenAlexW3165527557

What OpenQuestion holds

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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.