Evidence map›Paper›PMID 35789840›Full record

ArticleiScience2022

A study of strong nucleosomes in the human genome.

Lin Wang, Chunnan Dong, Chaolong Lu, Shujin Li, Lihong Fu, Bin Cong

Open access · goldAbstract read
In one paragraph

Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. DNA and protein analyses of hair in forensic genetics.International journal of legal medicine · 2023
    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

6 authors at 1 institution in 1 country.

Lin WangCollege of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Shijiazhuang 050017, China.
Chunnan DongDepartment of Pathogen Biology, Hebei Medical University, Shijiazhuang 050017, China.
Chaolong LuCollege of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Shijiazhuang 050017, China.
Shujin LiCollege of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Shijiazhuang 050017, China.
Lihong FuCollege of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Shijiazhuang 050017, China.
Bin CongCollege of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Shijiazhuang 050017, China.
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Micrococcal nuclease (MNase) is widely used to map nucleosomes. However, nucleosomes are highly dynamic and susceptible to experimental conditions, resulting in extreme variability across nucleosome maps, which complicates the generation of accurate nucleosome organization data. We mapped nucleosomes from different individuals using improved MNase-seq. The improvements included setting different digestion levels (low, medium, high) and naked DNA correction to remove the noise caused by experimental manipulation and comparing maps to obtain the accurate position and occupancy of strong nucleosomes (SNs) in the whole genome. In addition, the characteristics of SNs were further excavated. SNs were enriched in Alu elements and near the centromere of Chr12. SNs contain some specific sequences, and the GC content of SNs is different from that of dynamic nucleosomes. The findings suggest that nucleosome location in the genome and the DNA sequence may affect nucleosome stability.

Indexed as

BioinformaticsBiological sciencesBiological sciences research methodologiesMolecular biologyMolecular biology experimental approach

Identifiers

PMID35789840
PMCPMC9249913
OpenAlexW4282833820

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.