Evidence map›Paper›PMID 36544209›Full record

ArticleEpigenetics & chromatin2022

Characterizing chromatin interactions of regulatory elements and nucleosome positions, using Hi-C, Micro-C, and promoter capture Micro-C.

Beoung Hun Lee, Zexun Wu, Suhn K Rhie

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Epigenetics & chromatin, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 28 citations in OpenAlex.

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  10. Review
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  12. Mapping the 3D genome architecture.Computational and structural biotechnology journal · 2025
    Review
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  15. Three-dimensional chromatin landscapes in MLLr AML.Experimental hematology & oncology · 2024
    Article
  16. Learning Micro-C from Hi-C with diffusion models.PLoS computational biology · 2024
    Article
  17. Article
  18. Cohesin regulation and roles in chromosome structure and function.Current opinion in genetics & development · 2024
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Beoung Hun LeeDepartment of Biochemistry and Molecular Medicine and the Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA.
Zexun WuDepartment of Biochemistry and Molecular Medicine and the Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA.
Suhn K RhieDepartment of Biochemistry and Molecular Medicine and the Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA. rhie@usc.edu.
University of Southern California · US

Funding

Tissue Modeling CoreU54CA233465 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Matthew Philip Salomon · 2018 to 2026
$11.9M
Identification and Clinical Validation of Key Transcription Factor Isoforms Linked to Breast and Prostate Cancer Subgroups using Epigenetic TraitsK01CA229995 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI RHIE, SUHN KYONG · 2018 to 2020
$637k
Identifying epigenetic states of TADs and targeting using epigenome editingR21HG011506 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI RHIE, SUHN KYONG · 2021 to 2023
$619k
Mapping regulatory elements and chromatin structures in prostate tumor subtypes at single nucleosome resolutionR21CA264637 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI RHIE, SUHN KYONG · 2021 to 2022
$420k
Reversing molecular cancer phenotypes by targeting epigenetic alterations in prostate cancerR21CA260082 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI RHIE, SUHN KYONG · 2021 to 2021
$386k
NCI NIH HHS K01 CA229995NCI NIH HHS R21 CA260082NCI NIH HHS R21 CA264637NCI NIH HHS U54 CA233465NHGRI NIH HHS R21 HG011506
6 · The paper itself

Abstract

backgroundRegulatory elements such as promoters, enhancers, and insulators interact each other to mediate molecular processes. To capture chromatin interactions of regulatory elements, 3C-derived methods such as Hi-C and Micro-C are developed. Here, we generated and analyzed Hi-C, Micro-C, and promoter capture Micro-C datasets with different sequencing depths to study chromatin interactions of regulatory elements and nucleosome positions in human prostate cancer cells.

resultsCompared to Hi-C, Micro-C identifies more high-resolution loops, including ones around structural variants. By evaluating the effect of sequencing depth, we revealed that more than 2 billion reads of Micro-C are needed to detect chromatin interactions at 1 kb resolution. Moreover, we found that deep-sequencing identifies additional long-range loops that are longer than 1 Mb in distance. Furthermore, we found that more than 50% of the loops are involved in insulators while less than 10% of the loops are promoter-enhancer loops. To comprehensively capture chromatin interactions that promoters are involved in, we performed promoter capture Micro-C. Promoter capture Micro-C identifies loops near promoters with a lower amount of sequencing reads. Sequencing of 160 million reads of promoter capture Micro-C resulted in reaching a plateau of identifying loops. However, there was still a subset of promoters that are not involved in loops even after deep-sequencing. By integrating Micro-C with NOMe-seq and ChIP-seq, we found that active promoters involved in loops have a more accessible region with lower levels of DNA methylation and more highly phased nucleosomes, compared to active promoters that are not involved in loops.

conclusionWe determined the required sequencing depth for Micro-C and promoter capture Micro-C to generate high-resolution chromatin interaction maps and loops. We also investigated the effect of sequencing coverage of Hi-C, Micro-C, and promoter capture Micro-C on detecting chromatin loops. Our analyses suggest the presence of distinct regulatory element groups, which are differently involved in nucleosome positions and chromatin interactions. This study does not only provide valuable insights on understanding chromatin interactions of regulatory elements, but also present guidelines for designing research projects on chromatin interactions among regulatory elements.

Indexed as

Chromatin Assembly and DisassemblyNucleosomesRegulatory Sequences, Nucleic AcidChromatinEnhancer Elements, GeneticHumansPromoter Regions, GeneticChromatinNucleosomesChromatin loopsEpigenomicsHuman cancer cellsNucleosomesRegulatory elements

Identifiers

PMID36544209
PMCPMC9768916
OpenAlexW4312039581

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.