Evidence map›Paper›PMID 30030442›Full record

ArticleNature communications2018

Simplified ChIP-exo assays.

Matthew J Rossi, William K M Lai, B Franklin Pugh

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing 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

73 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Kar4 acts as a Ste12 regulator inbioRxiv : the preprint server for biology · 2025
    Article
  11. Review
  12. Compact Origins and Where to Find Them: ORC's Guide to Genome-Wide Licensing.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  13. DNA-Protein Binding is Dominated by Short Anchoring Elements.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

13 more citing papers are in PubMed but not listed here.

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

3 authors.

Matthew J RossiCenter for Eukaryotic Gene Regulation, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, 16802, USA.
William K M LaiCenter for Eukaryotic Gene Regulation, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, 16802, USA.
B Franklin PughCenter for Eukaryotic Gene Regulation, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, 16802, USA. bfp2@psu.edu.

Funding

Promoter Regulation in Response to Environmental StressR01ES013768 · NIEHS · PENNSYLVANIA STATE UNIVERSITY, THE · PI PUGH, B FRANKLIN · 2007 to 2019
$4.9M
NIEHS NIH HHS R01 ES013768U.S. Department of Health & Human Services | NIH | National Institute of Environmental Health Sciences (NIEHS) ES013768
6 · The paper itself

Abstract

ChIP-seq and ChIP-exo identify where proteins bind along any genome in vivo. Although ChIP-seq is widely adopted in academic research, it has inherently high noise. In contrast, ChIP-exo has relatively low noise and achieves near-base pair resolution. Consequently, and unlike other genomic assays, ChIP-exo provides structural information on genome-wide binding proteins. Construction of ChIP-exo libraries is technically difficult. Here we describe greatly simplified ChIP-exo methods, each with use-specific advantages. This is achieved through assay optimization and use of Tn5 tagmentation and/or single-stranded DNA ligation. Greater library yields, lower processing time, and lower costs are achieved. In comparing assays, we reveal substantial limitations in other ChIP-based assays. Importantly, the new ChIP-exo assays allow high-resolution detection of some protein-DNA interactions in organs and in as few as 27,000 cells. It is suitable for high-throughput parallelization. The simplicity of ChIP-exo now makes it a highly appropriate substitute for ChIP-seq, and for broader adoption.

Indexed as

Gene LibraryGenomicsAnimalsBinding SitesBrainCatalysisChromatin ImmunoprecipitationDNADNA-Binding ProteinsDNA, Single-StrandedHumansK562 CellsKidneyLiverLungMiceDNADNA-Binding ProteinsDNA, Single-StrandedTranscription Factors

Identifiers

PMID30030442
PMCPMC6054642

What OpenQuestion holds

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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.