Evidence map›Paper›PMID 34933938›Full record

ArticleGenome research2022

Accessible Region Conformation Capture (ARC-C) gives high-resolution insights into genome architecture and regulation.

Ni Huang, Wei Qiang Seow, Alex Appert, Yan Dong, Przemyslaw Stempor, Julie Ahringer

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed, 19 citations in OpenAlex.

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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 1 institution in 1 country.

Ni Huang *The Gurdon Institute and Department of Genetics, University of Cambridge, Cambridge CB2 1QN, United Kingdom.
Wei Qiang Seow *The Gurdon Institute and Department of Genetics, University of Cambridge, Cambridge CB2 1QN, United Kingdom.
Alex AppertThe Gurdon Institute and Department of Genetics, University of Cambridge, Cambridge CB2 1QN, United Kingdom.
Yan DongThe Gurdon Institute and Department of Genetics, University of Cambridge, Cambridge CB2 1QN, United Kingdom.
Przemyslaw StemporThe Gurdon Institute and Department of Genetics, University of Cambridge, Cambridge CB2 1QN, United Kingdom.ORCID 0000-0002-9464-7475
Julie AhringerThe Gurdon Institute and Department of Genetics, University of Cambridge, Cambridge CB2 1QN, United Kingdom.ORCID 0000-0002-7074-4051
University of Cambridge · GB

Funding

Cancer Research UK C6946/A14492Wellcome Trust 092096Wellcome Trust 101863Wellcome Trust 217170
6 · The paper itself

Abstract

Nuclear organization and chromatin interactions are important for genome function, yet determining chromatin connections at high resolution remains a major challenge. To address this, we developed Accessible Region Conformation Capture (ARC-C), which profiles interactions between regulatory elements genome-wide without a capture step. Applied to

Indexed as

Caenorhabditis elegansChromatinAnimalsChromosomesGenomeChromatin

Identifiers

PMID34933938
PMCPMC8805715
OpenAlexW4200554623

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.