Evidence map›Paper›PMID 30400938›Full record

ReviewGenome biology2018

DNA methylation and de-methylation using hybrid site-targeting proteins.

Yong Lei, Yung-Hsin Huang, Margaret A Goodell

Abstract readReview
In one paragraph

Review in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. The cell cycle gene centromere protein K (Translational cancer research · 2022
    Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. The regulation mechanisms and the Lamarckian inheritance property of DNA methylation in animals.Mammalian genome : official journal of the International Mammalian Genome Society · 2021
    Review
  20. Article
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.

Yong LeiStem Cells and Regenerative Medicine Center, Baylor College of Medicine, Houston, TX, 77030, USA.
Yung-Hsin HuangStem Cells and Regenerative Medicine Center, Baylor College of Medicine, Houston, TX, 77030, USA.
Margaret A GoodellStem Cells and Regenerative Medicine Center, Baylor College of Medicine, Houston, TX, 77030, USA. Goodell@bcm.edu.ORCID 0000-0003-1111-2932

Funding

Wnt signaling in muscle stem cell agingP01AG036695 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMAS A. RANDO · 2011 to 2026
$29.3M
The role of DNMT3A in gene regulation and stem cell expansionK00CA222736 · NCI · STANFORD UNIVERSITY · PI HUANG, YUNG-HSIN · 2020 to 2023
$379k
The role of DNMT3A in gene regulation and stem cell expansionF99CA222736 · NCI · BAYLOR COLLEGE OF MEDICINE · PI HUANG, YUNG-HSIN · 2017 to 2018
$90k
NCI NIH HHS CA222736NCI NIH HHS F99 CA222736NCI NIH HHS K00 CA222736NIA NIH HHS P01 AG036695NIH HHS AG036695NIH HHS CA183252NIH HHS DK092883
6 · The paper itself

Abstract

DNA methylation plays important roles in determining cellular identity, disease, and environmental responses, but little is known about the mechanisms that drive methylation changes during cellular differentiation and tumorigenesis. Meanwhile, the causal relationship between DNA methylation and transcription remains incompletely understood. Recently developed targeted DNA methylation manipulation tools can address these gaps in knowledge, leading to new insights into how methylation governs gene expression. Here, we summarize technological developments in the DNA methylation editing field and discuss the remaining challenges facing current tools, as well as potential future directions.

Indexed as

Cell DifferentiationDNA MethylationEpigenesis, GeneticGene Expression RegulationAnimalsCarcinogenesisHumans

Identifiers

PMID30400938
PMCPMC6219187

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.