Evidence map›Paper›PMID 31331983›Full record

ArticleLife science alliance2019

TAF-ChIP: an ultra-low input approach for genome-wide chromatin immunoprecipitation assay.

Junaid Akhtar, Piyush More, Steffen Albrecht, Federico Marini, Waldemar Kaiser, Apurva Kulkarni, Leszek Wojnowski, Jean-Fred Fontaine, Miguel A Andrade-Navarro, Marion Silies and 1 more

Abstract read
In one paragraph

Article in Life science alliance, 2019. 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.

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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

11 authors.

Junaid AkhtarInstitute of Developmental Biology and Neurobiology, University of Mainz, Mainz, Germany akhtar@uni-mainz.de.ORCID 0000-0002-2561-686X
Piyush MoreDepartment of Pharmacology, University Medical Center, Johannes Gutenberg University of Mainz, Mainz, Germany.ORCID 0000-0002-6232-6124
Steffen AlbrechtFaculty of Biology, Johannes Gutenberg University Mainz, Mainz, Germany.ORCID 0000-0002-9765-4136
Federico MariniCenter for Thrombosis and Hemostasis Mainz, Mainz, Germany.ORCID 0000-0003-3252-7758
Waldemar KaiserInstitute of Developmental Biology and Neurobiology, University of Mainz, Mainz, Germany.
Apurva KulkarniInstitute of Developmental Biology and Neurobiology, University of Mainz, Mainz, Germany.
Leszek WojnowskiDepartment of Pharmacology, University Medical Center, Johannes Gutenberg University of Mainz, Mainz, Germany.
Jean-Fred FontaineFaculty of Biology, Johannes Gutenberg University Mainz, Mainz, Germany.
Miguel A Andrade-NavarroFaculty of Biology, Johannes Gutenberg University Mainz, Mainz, Germany.ORCID 0000-0001-6650-1711
Marion SiliesInstitute of Developmental Biology and Neurobiology, University of Mainz, Mainz, Germany.
Christian BergerInstitute of Developmental Biology and Neurobiology, University of Mainz, Mainz, Germany bergerc@uni-mainz.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromatin immunoprecipitation (ChIP) followed by next generation sequencing (ChIP-Seq) is a powerful technique to study transcriptional regulation. However, the requirement of millions of cells to generate results with high signal-to-noise ratio precludes it in the study of small cell populations. Here, we present a tagmentation-assisted fragmentation ChIP (TAF-ChIP) and sequencing method to generate high-quality histone profiles from low cell numbers. The data obtained from the TAF-ChIP approach are amenable to standard tools for ChIP-Seq analysis, owing to its high signal-to-noise ratio. The epigenetic profiles from TAF-ChIP approach showed high agreement with conventional ChIP-Seq datasets, thereby underlining the utility of this approach.

Indexed as

AnimalsChromatin Immunoprecipitation SequencingDrosophilaEpigenesis, GeneticHigh-Throughput Nucleotide SequencingHistonesHumansK562 CellsSignal-To-Noise RatioSoftwareWhole Genome SequencingHistones

Identifiers

PMID31331983
PMCPMC6653780

What OpenQuestion holds

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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.