Evidence map›Paper›PMID 22900019›Full record

ArticlePloS one2012

Correlation between DNase I hypersensitive site distribution and gene expression in HeLa S3 cells.

Ya-Mei Wang, Ping Zhou, Li-Yong Wang, Zhen-Hua Li, Yao-Nan Zhang, Yu-Xiang Zhang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

20 citing papers in PubMed, 35 citations in OpenAlex.

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  7. EnhancerDB: a resource of transcriptional regulation in the context of enhancers.Database : the journal of biological databases and curation · 2019
    Article
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  9. Computational Methods for Assessing Chromatin Hierarchy.Computational and structural biotechnology journal · 2018
    Review
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  15. Article
  16. Review
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  20. Article
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.

Ya-Mei WangDepartment of Biochemistry and Molecular Biology, Cancer Institute, Capital Medical University, Beijing, China.
Ping Zhou
Li-Yong Wang
Zhen-Hua Li
Yao-Nan Zhang
Yu-Xiang Zhang
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mapping DNase I hypersensitive sites (DHSs) within nuclear chromatin is a traditional and powerful method of identifying genetic regulatory elements. DHSs have been mapped by capturing the ends of long DNase I-cut fragments (>100,000 bp), or 100-1200 bp DNase I-double cleavage fragments (also called double-hit fragments). But next generation sequencing requires a DNA library containing DNA fragments of 100-500 bp. Therefore, we used short DNA fragments released by DNase I digestion to generate DNA libraries for next generation sequencing. The short segments are 100-300 bp and can be directly cloned and used for high-throughput sequencing. We identified 83,897 DHSs in 2,343,479 tags across the human genome. Our results indicate that the DHSs identified by this DHS assay are consistent with those identified by longer fragments in previous studies. We also found: (1) the distribution of DHSs in promoter and other gene regions of similarly expressed genes differs among different chromosomes; (2) silenced genes had a more open chromatin structure than previously thought; (3) DHSs in 3'untranslated regions (3'UTRs) are negatively correlated with level of gene expression.

Indexed as

Gene Expression RegulationRegulatory Sequences, Nucleic Acid3' Untranslated RegionsBinding SitesChromosome MappingCpG IslandsDeoxyribonuclease IGenome, HumanHeLa CellsHumansMolecular Sequence AnnotationReproducibility of ResultsTranscription Factors3' Untranslated RegionsDeoxyribonuclease ITranscription Factors

Identifiers

PMID22900019
PMCPMC3416863
OpenAlexW1982112888

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.