Evidence map›Paper›PMID 29572359›Full record

ArticleGenome research2018

Mapping transcription factor occupancy using minimal numbers of cells in vitro and in vivo.

Luca Tosti, James Ashmore, Boon Siang Nicholas Tan, Benedetta Carbone, Tapan K Mistri, Valerie Wilson, Simon R Tomlinson, Keisuke Kaji

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed, 58 citations in OpenAlex.

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  13. Profiling Protein-DNA Interactions Cell-Type-Specifically with Targeted DamID.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
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  15. iScience · 2021
    Article
  16. Review
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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

8 authors at 1 institution in 1 country.

Luca TostiMRC Centre for Regenerative Medicine, University of Edinburgh, Edinburgh BioQuarter, Edinburgh, EH16 4UU, Scotland, United Kingdom.
James AshmoreMRC Centre for Regenerative Medicine, University of Edinburgh, Edinburgh BioQuarter, Edinburgh, EH16 4UU, Scotland, United Kingdom.
Boon Siang Nicholas TanMRC Centre for Regenerative Medicine, University of Edinburgh, Edinburgh BioQuarter, Edinburgh, EH16 4UU, Scotland, United Kingdom.
Benedetta CarboneMRC Centre for Regenerative Medicine, University of Edinburgh, Edinburgh BioQuarter, Edinburgh, EH16 4UU, Scotland, United Kingdom.
Tapan K MistriMRC Centre for Regenerative Medicine, University of Edinburgh, Edinburgh BioQuarter, Edinburgh, EH16 4UU, Scotland, United Kingdom.
Valerie WilsonMRC Centre for Regenerative Medicine, University of Edinburgh, Edinburgh BioQuarter, Edinburgh, EH16 4UU, Scotland, United Kingdom.
Simon R TomlinsonMRC Centre for Regenerative Medicine, University of Edinburgh, Edinburgh BioQuarter, Edinburgh, EH16 4UU, Scotland, United Kingdom.
Keisuke KajiMRC Centre for Regenerative Medicine, University of Edinburgh, Edinburgh BioQuarter, Edinburgh, EH16 4UU, Scotland, United Kingdom.
MRC Centre for Regenerative Medicine · GB

Funding

Biotechnology and Biological Sciences Research CouncilEuropean Research Council 261075Medical Research Council MR/K017047/1Medical Research Council MR/N008715/1
6 · The paper itself

Abstract

The identification of transcription factor (TF) binding sites in the genome is critical to understanding gene regulatory networks (GRNs). While ChIP-seq is commonly used to identify TF targets, it requires specific ChIP-grade antibodies and high cell numbers, often limiting its applicability.

Indexed as

AnimalsBinding SitesEmbryonic Stem CellsGene Regulatory NetworksGenomeMiceNeural Stem CellsOctamer Transcription Factor-3Site-Specific DNA-Methyltransferase (Adenine-Specific)SOXB1 Transcription FactorsTranscription FactorsOctamer Transcription Factor-3Pou5f1 protein, mouseSite-Specific DNA-Methyltransferase (Adenine-Specific)Sox2 protein, mouseSOXB1 Transcription FactorsTranscription Factors

Identifiers

PMID29572359
PMCPMC5880248
OpenAlexW2950338203

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.