Evidence map›Paper›PMID 24658142›Full record

ArticleNature methods2014

FIREWACh: high-throughput functional detection of transcriptional regulatory modules in mammalian cells.

Matthew Murtha, Zeynep Tokcaer-Keskin, Zuojian Tang, Francesco Strino, Xi Chen, Yatong Wang, Xiangmei Xi, Claudio Basilico, Stuart Brown, Richard Bonneau and 2 more

Open access · greenAbstract read
In one paragraph

Article in Nature methods, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
7.3field-weighted citation impact, top 2% 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

56 citing papers in PubMed, 96 citations in OpenAlex.

  1. Article
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  4. MPRAbase: A Massively Parallel Reporter Assay Database.bioRxiv : the preprint server for biology · 2023
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  6. Review
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  8. Review
  9. Article
  10. Article
  11. Enhancer-gene specificity in development and disease.Development (Cambridge, England) · 2022
    Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Matthew MurthaDepartment of Microbiology, New York University School of Medicine, New York, New York, USA.
Zeynep Tokcaer-KeskinDepartment of Microbiology, New York University School of Medicine, New York, New York, USA.
Zuojian TangCenter for Health Informatics and Bioinformatics, New York University School of Medicine, New York, New York, USA.
Francesco StrinoDepartment of Biology and Biological Sciences, Yale University, New Haven, Connecticut, USA.
Xi ChenDepartment of Biology, New York University, New York, New York, USA.
Yatong WangDepartment of Microbiology, New York University School of Medicine, New York, New York, USA.
Xiangmei XiDepartment of Microbiology, New York University School of Medicine, New York, New York, USA.
Claudio BasilicoDepartment of Microbiology, New York University School of Medicine, New York, New York, USA.
Stuart BrownCenter for Health Informatics and Bioinformatics, New York University School of Medicine, New York, New York, USA.
Richard Bonneau1] Department of Biology, New York University, New York, New York, USA. [2] Department of Computer Science, Courant Institute of Mathematical Sciences, New York, New York, USA.
Yuval KlugerDepartment of Biology and Biological Sciences, Yale University, New Haven, Connecticut, USA.
Lisa DaileyDepartment of Microbiology, New York University School of Medicine, New York, New York, USA.
New York University · USYale University · US

Funding

Training Program in Stem Cell and Cancer BiologyT32CA160002 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LEHMANN, RUTH · 2011 to 2015
$1.6M
NCI NIH HHS 1T32CA160002NCI NIH HHS T32 CA160002
6 · The paper itself

Abstract

Promoters and enhancers establish precise gene transcription patterns. The development of functional approaches for their identification in mammalian cells has been complicated by the size of these genomes. Here we report a high-throughput functional assay for directly identifying active promoter and enhancer elements called FIREWACh (Functional Identification of Regulatory Elements Within Accessible Chromatin), which we used to simultaneously assess over 80,000 DNA fragments derived from nucleosome-free regions within the chromatin of embryonic stem cells (ESCs) and identify 6,364 active regulatory elements. Many of these represent newly discovered ESC-specific enhancers, showing enriched binding-site motifs for ESC-specific transcription factors including SOX2, POU5F1 (OCT4) and KLF4. The application of FIREWACh to additional cultured cell types will facilitate functional annotation of the genome and expand our view of transcriptional network dynamics.

Indexed as

Enhancer Elements, GeneticGene Expression RegulationHigh-Throughput Nucleotide SequencingPromoter Regions, GeneticAnimalsBinding SitesChromatinComputational BiologyDeoxyribonuclease IEmbryonic Stem CellsFlow CytometryGene LibraryGenes, ReporterGenetic TechniquesGenomeGreen Fluorescent ProteinsChromatinDeoxyribonuclease IGreen Fluorescent ProteinsKlf4 protein, mouseKruppel-Like Factor 4Luciferases

Identifiers

PMID24658142
PMCPMC4020622
OpenAlexW2029949273

What OpenQuestion holds

Textmetadata
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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.