Evidence map›Paper›PMID 29158486›Full record

ArticleNature communications2017

BL-Hi-C is an efficient and sensitive approach for capturing structural and regulatory chromatin interactions.

Zhengyu Liang, Guipeng Li, Zejun Wang, Mohamed Nadhir Djekidel, Yanjian Li, Min-Ping Qian, Michael Q Zhang, Yang Chen

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

54 citing papers in PubMed, 96 citations in OpenAlex.

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  10. A method for chromatin domain partitioning based on hypergraph clustering.Computational and structural biotechnology journal · 2024
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  16. BL-Hi-C reveals the 3D genome structure ofHorticulture research · 2024
    Article
  17. Article
  18. [Advances in methods and applications of single-cell Hi-C data analysis].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
    Article
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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

8 authors at 4 institutions in 4 countries.

Zhengyu LiangMOE Key Laboratory of Bioinformatics; Bioinformatics Division and Center for Synthetic & Systems Biology, TNLIST; School of Medicine, Tsinghua University, Beijing, 100084, China.ORCID http://orcid.org/0000-0002-3307-0959
Guipeng LiMOE Key Laboratory of Bioinformatics; Bioinformatics Division and Center for Synthetic & Systems Biology, TNLIST; Department of Automation, Tsinghua University, Beijing, 100084, China.ORCID http://orcid.org/0000-0002-3244-5499
Zejun WangMOE Key Laboratory of Bioinformatics; Bioinformatics Division and Center for Synthetic & Systems Biology, TNLIST; Department of Automation, Tsinghua University, Beijing, 100084, China.ORCID http://orcid.org/0000-0002-4767-0672
Mohamed Nadhir DjekidelMOE Key Laboratory of Bioinformatics; Bioinformatics Division and Center for Synthetic & Systems Biology, TNLIST; Department of Automation, Tsinghua University, Beijing, 100084, China.ORCID http://orcid.org/0000-0001-5361-1858
Yanjian LiMOE Key Laboratory of Bioinformatics; Bioinformatics Division and Center for Synthetic & Systems Biology, TNLIST; School of Medicine, Tsinghua University, Beijing, 100084, China.ORCID http://orcid.org/0000-0001-6090-0973
Min-Ping QianSchool of Mathematical Sciences, Peking University, Beijing, 100871, China.
Michael Q ZhangMOE Key Laboratory of Bioinformatics; Bioinformatics Division and Center for Synthetic & Systems Biology, TNLIST; School of Medicine, Tsinghua University, Beijing, 100084, China. michaelzhang@tsinghua.edu.cn.
Yang ChenMOE Key Laboratory of Bioinformatics; Bioinformatics Division and Center for Synthetic & Systems Biology, TNLIST; School of Medicine, Tsinghua University, Beijing, 100084, China. yc@tsinghua.edu.cn.ORCID http://orcid.org/0000-0001-9406-8273
Institut de Biologie systémique et synthétique · FRPeking University · CNSouthern University of Science and Technology · CNThe University of Texas at Dallas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In human cells, DNA is hierarchically organized and assembled with histones and DNA-binding proteins in three dimensions. Chromatin interactions play important roles in genome architecture and gene regulation, including robustness in the developmental stages and flexibility during the cell cycle. Here we propose in situ Hi-C method named Bridge Linker-Hi-C (BL-Hi-C) for capturing structural and regulatory chromatin interactions by restriction enzyme targeting and two-step proximity ligation. This method improves the sensitivity and specificity of active chromatin loop detection and can reveal the regulatory enhancer-promoter architecture better than conventional methods at a lower sequencing depth and with a simpler protocol. We demonstrate its utility with two well-studied developmental loci: the beta-globin and HOXC cluster regions.

Indexed as

Cell Line, TumorChromatinChromosomesDNAGene Expression RegulationHigh-Throughput Screening AssaysHistonesHumansProtein BindingRegulatory Sequences, Nucleic AcidChromatinDNAHistones

Identifiers

PMID29158486
PMCPMC5696378
OpenAlexW2768603011

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.