Evidence map›Paper›PMID 24357409›Full record

ArticleNucleic acids research2014

Dissecting the chromatin interactome of microRNA genes.

Dijun Chen, Liang-Yu Fu, Zhao Zhang, Guoliang Li, Hang Zhang, Li Jiang, Andrew P Harrison, Hugh P Shanahan, Christian Klukas, Hong-Yu Zhang and 3 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Bioinformatics Methods for Modeling microRNA Regulatory Networks in Cancer.Advances in experimental medicine and biology · 2022
    Article
  4. Chromatin Hubs: A biological and computational outlook.Computational and structural biotechnology journal · 2022
    Review
  5. Article
  6. Review
  7. Small RNAs, Big Diseases.International journal of molecular sciences · 2020
    Review
  8. Review
  9. Article
  10. Frontiers in genetics · 2017
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

13 authors.

Dijun ChenDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, P. R. China, Center for Bioinformatics, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, P.R. China, Department of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research Gatersleben (IPK), Corrensstrasse 3, D-06466 Gatersleben, Germany, The Jackson Laboratory for Genomic Medicine, and Department of Genetic and Development Biology, University of Connecticut, 400 Farmington, Connecticut 06030, USA, Department of Mathematical Sciences and School of Biological Sciences, University of Essex, Colchester, Essex CO4 3SQ, UK and Department of Computer Science, Royal Holloway, University of London, Egham, Surrey, TW20 0EX, UK.
Liang-Yu Fu
Zhao Zhang
Guoliang Li
Hang Zhang
Li Jiang
Andrew P Harrison
Hugh P Shanahan
Christian Klukas
Hong-Yu Zhang
Yijun Ruan
Ling-Ling Chen
Ming Chen

Funding

Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI William Carl Skarnes · 1985 to 2026
$61.9M
NCI NIH HHS P30 CA034196
6 · The paper itself

Abstract

Our knowledge of the role of higher-order chromatin structures in transcription of microRNA genes (MIRs) is evolving rapidly. Here we investigate the effect of 3D architecture of chromatin on the transcriptional regulation of MIRs. We demonstrate that MIRs have transcriptional features that are similar to protein-coding genes. RNA polymerase II-associated ChIA-PET data reveal that many groups of MIRs and protein-coding genes are organized into functionally compartmentalized chromatin communities and undergo coordinated expression when their genomic loci are spatially colocated. We observe that MIRs display widespread communication in those transcriptionally active communities. Moreover, miRNA-target interactions are significantly enriched among communities with functional homogeneity while depleted from the same community from which they originated, suggesting MIRs coordinating function-related pathways at posttranscriptional level. Further investigation demonstrates the existence of spatial MIR-MIR chromatin interacting networks. We show that groups of spatially coordinated MIRs are frequently from the same family and involved in the same disease category. The spatial interaction network possesses both common and cell-specific subnetwork modules that result from the spatial organization of chromatin within different cell types. Together, our study unveils an entirely unexplored layer of MIR regulation throughout the human genome that links the spatial coordination of MIRs to their co-expression and function.

Indexed as

Gene Expression RegulationChromatinHumansK562 CellsMCF-7 CellsMicroRNAsTranscription, GeneticChromatinMicroRNAs

Identifiers

PMID24357409
PMCPMC3950692

What OpenQuestion holds

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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.