Evidence map›Paper›PMID 26355004›Full record

ArticleGenome research2015

CETCh-seq: CRISPR epitope tagging ChIP-seq of DNA-binding proteins.

Daniel Savic, E Christopher Partridge, Kimberly M Newberry, Sophia B Smith, Sarah K Meadows, Brian S Roberts, Mark Mackiewicz, Eric M Mendenhall, Richard M Myers

Abstract read
In one paragraph

Article in Genome research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing 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

83 citing papers in PubMed.

  1. Article
  2. Article
  3. The Encyclopedia of DNA Elements.bioRxiv : the preprint server for biology · 2026
    Article
  4. CRISPR Gene Tagging for Illuminating Endogenous Protein Dynamics.International journal of molecular sciences · 2026
    Review
  5. Review
  6. The Disordered Region of ASXL1 Acts as an Auto-Regulator Through Condensation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

23 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

9 authors.

Daniel SavicHudsonAlpha Institute for Biotechnology, Huntsville, Alabama 35806, USA;
E Christopher PartridgeHudsonAlpha Institute for Biotechnology, Huntsville, Alabama 35806, USA;
Kimberly M NewberryHudsonAlpha Institute for Biotechnology, Huntsville, Alabama 35806, USA;
Sophia B SmithUniversity of Alabama in Huntsville, Huntsville, Alabama 35899, USA.
Sarah K MeadowsHudsonAlpha Institute for Biotechnology, Huntsville, Alabama 35806, USA;
Brian S RobertsHudsonAlpha Institute for Biotechnology, Huntsville, Alabama 35806, USA;
Mark MackiewiczHudsonAlpha Institute for Biotechnology, Huntsville, Alabama 35806, USA;
Eric M MendenhallHudsonAlpha Institute for Biotechnology, Huntsville, Alabama 35806, USA; University of Alabama in Huntsville, Huntsville, Alabama 35899, USA.
Richard M MyersHudsonAlpha Institute for Biotechnology, Huntsville, Alabama 35806, USA;

Funding

Toward a comprehensive functional annotation of the human genomeU54HG006998 · NHGRI · HUDSON-ALPHA INSTITUTE FOR BIOTECHNOLOGY · PI MYERS, RICHARD M · 2012 to 2016
$17.5M
NHGRI NIH HHS U54 HG006998NHGRI NIH HHS U54 HG006998-0
6 · The paper itself

Abstract

Chromatin immunoprecipitation followed by next-generation DNA sequencing (ChIP-seq) is a widely used technique for identifying transcription factor (TF) binding events throughout an entire genome. However, ChIP-seq is limited by the availability of suitable ChIP-seq grade antibodies, and the vast majority of commercially available antibodies fail to generate usable data sets. To ameliorate these technical obstacles, we present a robust methodological approach for performing ChIP-seq through epitope tagging of endogenous TFs. We used clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9-based genome editing technology to develop CRISPR epitope tagging ChIP-seq (CETCh-seq) of DNA-binding proteins. We assessed the feasibility of CETCh-seq by tagging several DNA-binding proteins spanning a wide range of endogenous expression levels in the hepatocellular carcinoma cell line HepG2. Our data exhibit strong correlations between both replicate types as well as with standard ChIP-seq approaches that use TF antibodies. Notably, we also observed minimal changes to the cellular transcriptome and to the expression of the tagged TF. To examine the robustness of our technique, we further performed CETCh-seq in the breast adenocarcinoma cell line MCF7 as well as mouse embryonic stem cells and observed similarly high correlations. Collectively, these data highlight the applicability of CETCh-seq to accurately define the genome-wide binding profiles of DNA-binding proteins, allowing for a straightforward methodology to potentially assay the complete repertoire of TFs, including the large fraction for which ChIP-quality antibodies are not available.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsEpitope MappingOligonucleotide Array Sequence AnalysisAnimalsDNA-Binding ProteinsEpitopesFeasibility StudiesGene Expression ProfilingHumansMiceTranscription FactorsTranscriptomeTumor Cells, CulturedDNA-Binding ProteinsEpitopesTranscription Factors

Identifiers

PMID26355004
PMCPMC4579343

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.