Evidence map›Paper›PMID 30030848›Full record

ReviewClinical and experimental immunology2018

CRISPR-based reagents to study the influence of the epigenome on gene expression.

P Lavender, A Kelly, E Hendy, P McErlean

Abstract readReview
In one paragraph

Review in Clinical and experimental immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Improving Molecular Therapy in the Kidney.Molecular diagnosis & therapy · 2020
    Review
  5. Article
  6. Article
  7. Review
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.

P LavenderPeter Gorer Department of Immunobiology, School of Immunology and Microbial Science, MRC and Asthma UK Centre in Allergic Mechanisms of Asthma, King's College London, London, UK.ORCID 0000-0001-5335-2438
A KellyPeter Gorer Department of Immunobiology, School of Immunology and Microbial Science, MRC and Asthma UK Centre in Allergic Mechanisms of Asthma, King's College London, London, UK.
E HendyPeter Gorer Department of Immunobiology, School of Immunology and Microbial Science, MRC and Asthma UK Centre in Allergic Mechanisms of Asthma, King's College London, London, UK.
P McErleanPeter Gorer Department of Immunobiology, School of Immunology and Microbial Science, MRC and Asthma UK Centre in Allergic Mechanisms of Asthma, King's College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of epigenome editing is set to expand our knowledge of how epigenetic landscapes facilitate gene expression capacity within a given cell. As epigenetic landscape profiling in health and disease becomes more commonplace, so does the requirement to assess the functional impact that particular regulatory domains and DNA methylation profiles have upon gene expression capacity. That functional assessment is particularly pertinent when analysing epigenomes in disease states where the reversible nature of histone and DNA modification might yield plausible therapeutic targets. In this review we discuss first the nature of the epigenetic landscape, secondly the types of factors that deposit and erase the various modifications, consider how modifications transduce their signals, and lastly address current tools for experimental epigenome editing with particular emphasis on the immune system.

Indexed as

ChromatinClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsEpigenesis, GeneticGene EditingGene ExpressionGene Expression RegulationHistone CodeHumansChromatingene regulationmolecular biologytranscription factors

Identifiers

PMID30030848
PMCPMC6156815

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.