Evidence map›Paper›PMID 27571369›Full record

ArticleNature biotechnology2016

Targeted DNA demethylation in vivo using dCas9-peptide repeat and scFv-TET1 catalytic domain fusions.

Sumiyo Morita, Hirofumi Noguchi, Takuro Horii, Kazuhiko Nakabayashi, Mika Kimura, Kohji Okamura, Atsuhiko Sakai, Hideyuki Nakashima, Kenichiro Hata, Kinichi Nakashima and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 282 papers.

0numbers the graph read from it
0cells of the map it votes in
282citing papers in PubMed
29.8field-weighted citation impact, top 1% 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

282 citing papers in PubMed, 498 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Advances and clinical potential of epigenome editing.Cellular and molecular life sciences : CMLS · 2026
    Review
  10. Review
  11. Epigenetic editing: from concept to clinic.Nature reviews. Drug discovery · 2026
    Review
  12. Article
  13. Article
  14. Review
  15. International journal of biological sciences · 2026
    Review
  16. Article
  17. Review
  18. A Modular and Customizable CRISPR/Cas Toolkit for Epigenome Editing of Cis-regulatory Modules.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  19. Screening and Identification of Hnf1ba-International journal of molecular sciences · 2025
    Article
  20. Review

222 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

11 authors at 3 institutions in 1 country.

Sumiyo MoritaInstitute for Molecular and Cellular Regulation, Gunma University, Maebashi, Japan.
Hirofumi NoguchiDepartment of Stem Cell Biology and Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Takuro HoriiInstitute for Molecular and Cellular Regulation, Gunma University, Maebashi, Japan.
Kazuhiko NakabayashiDepartment of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Tokyo, Japan.
Mika KimuraInstitute for Molecular and Cellular Regulation, Gunma University, Maebashi, Japan.
Kohji OkamuraDepartment of Systems BioMedicine, National Research Institute for Child Health and Development, Tokyo, Japan.ORCID http://orcid.org/0000-0001-9747-5069
Atsuhiko SakaiDepartment of Stem Cell Biology and Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Hideyuki NakashimaDepartment of Stem Cell Biology and Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Kenichiro HataDepartment of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Tokyo, Japan.
Kinichi NakashimaDepartment of Stem Cell Biology and Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Izuho HatadaInstitute for Molecular and Cellular Regulation, Gunma University, Maebashi, Japan.
Gunma University · JPKyushu University · JPNational Center For Child Health and Development · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the importance of DNA methylation in health and disease, technologies to readily manipulate methylation of specific sequences for functional analysis and therapeutic purposes are lacking. Here we adapt the previously described dCas9-SunTag for efficient, targeted demethylation of specific DNA loci. The original SunTag consists of ten copies of the GCN4 peptide separated by 5-amino-acid linkers. To achieve efficient recruitment of an anti-GCN4 scFv fused to the ten-eleven (TET) 1 hydroxylase, which induces demethylation, we changed the linker length to 22 amino acids. The system attains demethylation efficiencies >50% in seven out of nine loci tested. Four of these seven loci showed demethylation of >90%. We demonstrate targeted demethylation of CpGs in regulatory regions and demethylation-dependent 1.7- to 50-fold upregulation of associated genes both in cell culture (embryonic stem cells, cancer cell lines, primary neural precursor cells) and in vivo in mouse fetuses.

Indexed as

AnimalsBasic-Leucine Zipper Transcription FactorsCatalysisClustered Regularly Interspaced Short Palindromic RepeatsCpG IslandsCRISPR-Associated ProteinsDNA MethylationGene TargetingGenetic EngineeringMiceMixed Function OxygenasesProtein DomainsProto-Oncogene ProteinsSaccharomyces cerevisiae ProteinsSingle-Chain AntibodiesBasic-Leucine Zipper Transcription FactorsCRISPR-Associated ProteinsGCN4 protein, S cerevisiaeMixed Function OxygenasesProto-Oncogene ProteinsSaccharomyces cerevisiae ProteinsSingle-Chain AntibodiesTET1 protein, human

Identifiers

PMID27571369
OpenAlexW2517955921

What OpenQuestion holds

Textmetadata
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.