Evidence map›Paper›PMID 34351700›Full record

ArticleCurrent protocols2021

In situ Chromatin Interaction Analysis Using Paired-End Tag Sequencing.

Ping Wang, Yuliang Feng, Kun Zhu, Haoxi Chai, Ya-Ting Chang, Xiaofei Yang, Xiyuan Liu, Chen Shen, Eva Gega, Byoungkoo Lee and 3 more

Abstract read
In one paragraph

Article in Current protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. The Encyclopedia of DNA Elements.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. aBIOTECH · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Capturing Chromosome Conformation Across Length Scales.Journal of visualized experiments : JoVE · 2023
    Article
  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

13 authors.

Ping WangThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.
Yuliang FengThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.
Kun ZhuThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.
Haoxi ChaiThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.
Ya-Ting ChangThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.
Xiaofei YangThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.
Xiyuan LiuThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.
Chen ShenThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.
Eva GegaThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.
Byoungkoo LeeThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.
Minji KimThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.
Xiaoan RuanThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.
Yijun RuanThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.

Funding

Comprehensive Mapping of Long-Range Chromatin Interactions in Humanand Mouse GenomesUM1HG009409 · NHGRI · JACKSON LABORATORY · PI LEE, CHARLES · 2017 to 2021
$9.8M
NHGRI NIH HHS UM1 HG009409
6 · The paper itself

Abstract

Chromatin Interaction Analysis Using Paired-End Tag Sequencing (ChIA-PET) is an established method to map protein-mediated chromatin interactions. A limitation, however, is that it requires a hundred million cells per experiment, which hampers its broad application in biomedical research, particularly in studies in which it is impractical to obtain a large number of cells from rare samples. To reduce the required input cell number while retaining high data quality, we developed an in situ ChIA-PET protocol, which requires as few as 1 million cells. Here, we describe detailed step-by-step procedures for performing in situ ChIA-PET from cultured cells, including both an experimental protocol for sample preparation and data generation and a computational protocol for data processing and visualization using the ChIA-PIPE pipeline. As the protocol significantly simplifies the experimental procedure, reduces ligation noise, and decreases the required input of cells compared to previous versions of ChIA-PET protocols, it can be applied to generate high-resolution chromatin contact maps mediated by various protein factors for a wide range of human and mouse primary cells. © 2021 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Sample preparation and data generation Support Protocol: Bridge linker preparation Basic Protocol 2: Data processing and visualization.

Indexed as

ChromatinGenetic TechniquesAnimalsCell LineData Interpretation, StatisticalHumansMiceSequence Analysis, DNAChromatinChIA-PETchromatin interactionin situ ChIA-PET

Identifiers

PMID34351700
PMCPMC8351913

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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.