Evidence map›Paper›PMID 35320278›Full record

ArticlePLoS genetics2022

HiCuT: An efficient and low input method to identify protein-directed chromatin interactions.

Satish Sati, Parker Jones, Hali S Kim, Linda A Zhou, Emmanuel Rapp-Reyes, Thomas H Leung

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.6field-weighted citation impact, top 9% 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, 30 citations in OpenAlex.

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  15. BL-Hi-C reveals the 3D genome structure ofHorticulture research · 2024
    Article
  16. Technological advances in probing 4D genome organization.Current opinion in cell biology · 2023
    Review
  17. Review
  18. 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

6 authors at 2 institutions in 1 country.

Satish SatiDepartment of Dermatology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0001-8236-9466
Parker JonesDepartment of Dermatology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Hali S KimDepartment of Dermatology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Linda A ZhouDepartment of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Emmanuel Rapp-ReyesDepartment of Dermatology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0002-5752-1291
Thomas H LeungDepartment of Dermatology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0003-1086-0824
University of Pennsylvania · USPhiladelphia VA Medical Center · US

Funding

Study Design and Data AnalysisP30AR069589 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI Elizabeth Anne Grice · 2016 to 2026
$8.6M
NIAMS NIH HHS P30 AR069589
6 · The paper itself

Abstract

3D genome organization regulates gene expression, and disruption of these long-range (>20kB) DNA-protein interactions results in pathogenic phenotypes. Chromosome conformation methods in conjunction with chromatin immunoprecipitation were used to decipher protein-directed chromatin interactions. However, these methods required abundant starting material (>500,000 cells), sizable number of sequencing reads (>100 million reads), and elaborate data processing methods to reduce background noise, which limited their use in primary cells. Hi-C Coupled chromatin cleavage and Tagmentation (HiCuT) is a new transposase-assisted tagmentation method that generates high-resolution protein directed long-range chromatin interactions as efficiently as existing methods, HiChIP and ChIA-PET, despite using 100,000 cells (5-fold less) and 12 million sequencing reads (8-fold fewer). Moreover, HiCuT generates high resolution fragment libraries with low background signal that are easily interpreted with minimal computational processing. We used HiCuT in human primary skin cells to link previously identified single nucleotide polymorphisms (SNPs) in skin disease to candidate genes and to identify functionally relevant transcription factors in an unbiased manner. HiCuT broadens the capacity for genomic profiling in systems previously unmeasurable, including primary cells, human tissue samples, and rare cell populations, and may be a useful tool for all investigators studying human genetics and personalized epigenomics.

Indexed as

ChromatinChromosomesChromatin ImmunoprecipitationChromatin Immunoprecipitation SequencingEpigenomicsChromatin

Identifiers

PMID35320278
PMCPMC8979432
OpenAlexW4220938426

What OpenQuestion holds

Textmetadata
LicenceCC0
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.