Evidence map›Paper›PMID 30534606›Full record

ArticleCommunications biology2018

RELACS nuclei barcoding enables high-throughput ChIP-seq.

Laura Arrigoni, Hoor Al-Hasani, Fidel Ramírez, Ilaria Panzeri, Devon Patrick Ryan, Diana Santacruz, Nadia Kress, John Andrew Pospisilik, Ulrike Bönisch, Thomas Manke

Abstract read
In one paragraph

Article in Communications biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  17. A physical basis for quantitative ChIP-sequencing.The Journal of biological chemistry · 2020
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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

10 authors.

Laura ArrigoniMax Planck Institute of Immunobiology and Epigenetics, Stübeweg 51, 79108 Freiburg, Germany.ORCID 0000-0002-3626-4468
Hoor Al-HasaniMax Planck Institute of Immunobiology and Epigenetics, Stübeweg 51, 79108 Freiburg, Germany.
Fidel RamírezMax Planck Institute of Immunobiology and Epigenetics, Stübeweg 51, 79108 Freiburg, Germany.ORCID 0000-0002-9142-417X
Ilaria PanzeriMax Planck Institute of Immunobiology and Epigenetics, Stübeweg 51, 79108 Freiburg, Germany.ORCID 0000-0002-4139-8591
Devon Patrick RyanMax Planck Institute of Immunobiology and Epigenetics, Stübeweg 51, 79108 Freiburg, Germany.
Diana SantacruzMax Planck Institute of Immunobiology and Epigenetics, Stübeweg 51, 79108 Freiburg, Germany.
Nadia KressMax Planck Institute of Immunobiology and Epigenetics, Stübeweg 51, 79108 Freiburg, Germany.
John Andrew PospisilikMax Planck Institute of Immunobiology and Epigenetics, Stübeweg 51, 79108 Freiburg, Germany.
Ulrike BönischMax Planck Institute of Immunobiology and Epigenetics, Stübeweg 51, 79108 Freiburg, Germany.
Thomas MankeMax Planck Institute of Immunobiology and Epigenetics, Stübeweg 51, 79108 Freiburg, Germany.ORCID 0000-0003-3702-0868

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromatin immunoprecipitation followed by deep sequencing (ChIP-seq) is an invaluable tool for mapping chromatin-associated proteins. Current barcoding strategies aim to improve assay throughput and scalability but intense sample handling and lack of standardization over cell types, cell numbers and epitopes hinder wide-spread use in the field. Here, we present a barcoding method to enable high-throughput ChIP-seq using common molecular biology techniques. The method, called RELACS (restriction enzyme-based labeling of chromatin in situ) relies on standardized nuclei extraction from any source and employs chromatin cutting and barcoding within intact nuclei. Barcoded nuclei are pooled and processed within the same ChIP reaction, for maximal comparability and workload reduction. The innovative barcoding concept is particularly user-friendly and suitable for implementation to standardized large-scale clinical studies and scarce samples. Aiming to maximize universality and scalability, RELACS can generate ChIP-seq libraries for transcription factors and histone modifications from hundreds of samples within three days.

Identifiers

PMID30534606
PMCPMC6281648

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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.