Evidence map›Paper›PMID 26820547›Full record

ReviewNature methods2016

Editing the epigenome: technologies for programmable transcription and epigenetic modulation.

Pratiksha I Thakore, Joshua B Black, Isaac B Hilton, Charles A Gersbach

Abstract readReview
In one paragraph

Review in Nature methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 256 papers.

0numbers the graph read from it
0cells of the map it votes in
256citing 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

256 citing papers in PubMed.

  1. CRISPR/Cas Systems: Biological Basis and Genome Editing Applications.Methods in molecular biology (Clifton, N.J.) · 2027
    Review
  2. Article
  3. Review
  4. Epigenetic insights and innovations for overcoming barriers in CAR-T cell therapy for cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Stochastic modeling of epigenetic memory.NPJ systems biology and applications · 2026
    Review
  17. Article
  18. Article
  19. Review
  20. Article

196 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

4 authors.

Pratiksha I ThakoreDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Joshua B BlackDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Isaac B HiltonDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Charles A GersbachDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.

Funding

University Training Program in Biomolecular & Tissue EngineeringT32GM008555 · NIGMS · DUKE UNIVERSITY · PI GERSBACH, CHARLES A. · 1994 to 2021
$8.1M
Decoding and Reprogramming the Corticosteroid Transcriptional Regulatory NetworkU01HG007900 · NHGRI · DUKE UNIVERSITY · PI REDDY, TIMOTHY E · 2015 to 2017
$5.9M
Engineering Targeted Epigenetic Modifiers for Precise Control of Gene RegulationR01DA036865 · NIDA · DUKE UNIVERSITY · PI CRAWFORD, GREGORY E, GERSBACH, CHARLES A. · 2013 to 2017
$2.6M
Engineering Morphogenetic Factors for Enhanced Genetic ReprogrammingDP2OD008586 · OD · DUKE UNIVERSITY · PI GERSBACH, CHARLES A. · 2011 to 2011
$2.4M
Tissue Procurement and Analysis CoreP30AR066527 · NIAMS · DUKE UNIVERSITY · PI HALL, RUSSELL P. · 2014 to 2015
$1.3M
Genome Editing of Stem Cells for Analysis of Osteoarthritis Causal VariantsR21AR065956 · NIAMS · DUKE UNIVERSITY · PI GERSBACH, CHARLES A., GUILAK, FARSHID · 2014 to 2015
$382k
NHGRI NIH HHS U01 HG007900NHGRI NIH HHS U01HG007900NIAMS NIH HHS P30 AR066527NIAMS NIH HHS P30AR066527NIAMS NIH HHS R21 AR065956NIAMS NIH HHS R21AR065956NIDA NIH HHS R01 DA036865NIDA NIH HHS R01DA036865NIGMS NIH HHS T32 GM008555NIGMS NIH HHS T32GM008555NIH HHS DP2 OD008586NIH HHS DP2OD008586
6 · The paper itself

Abstract

Gene regulation is a complex and tightly controlled process that defines cell identity, health and disease, and response to pharmacologic and environmental signals. Recently developed DNA-targeting platforms, including zinc finger proteins, transcription activator-like effectors (TALEs) and the clustered, regularly interspaced, short palindromic repeats (CRISPR)-Cas9 system, have enabled the recruitment of transcriptional modulators and epigenome-modifying factors to any genomic site, leading to new insights into the function of epigenetic marks in gene expression. Additionally, custom transcriptional and epigenetic regulation is facilitating refined control over cell function and decision making. The unique properties of the CRISPR-Cas9 system have created new opportunities for high-throughput genetic screens and multiplexing targets to manipulate complex gene expression patterns. This Review summarizes recent technological developments in this area and their application to biomedical challenges. We also discuss remaining limitations and necessary future directions for this field.

Indexed as

EpigenomicsAnimalsCRISPR-Cas SystemsEpigenesis, GeneticGene Expression RegulationGenetic EngineeringTranscription, Genetic

Identifiers

PMID26820547
PMCPMC4922638

What OpenQuestion holds

Textmetadata
LicenceTDM
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.