Evidence map›Paper›PMID 21195026›Full record

ReviewTrends in molecular medicine2011

Revertant mosaicism in skin: natural gene therapy.

Joey E Lai-Cheong, John A McGrath, Jouni Uitto

Abstract readReview
In one paragraph

Review in Trends in molecular medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Article
  2. Article
  3. Building the brain mosaic: an expanded view.Trends in genetics : TIG · 2024
    Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Investigational Treatments for Epidermolysis Bullosa.American journal of clinical dermatology · 2021
    Review
  9. Article
  10. Pathogenetic Therapy of Epidermolysis Bullosa: Current State and Prospects.Bulletin of experimental biology and medicine · 2021
    Review
  11. Review
  12. Review
  13. Mosaicism in Human Health and Disease.Annual review of genetics · 2020
    Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Mosaicism in Cutaneous Disorders.Annual review of genetics · 2017
    Review
  19. Revertant mosaicism in genodermatoses.Cellular and molecular life sciences : CMLS · 2017
    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.

Joey E Lai-CheongSt John's Institute of Dermatology, Division of Genetics and Molecular Medicine, Floor 9 Tower Wing, King's College London (Guy's Campus), London SE1 9RT, United Kingdom. jouni.uitto@jefferson.edu
John A McGrath
Jouni Uitto

Funding

BIOCHEMISTRY AND MORPHOLOGY OF CONNECTIVE TISSUESR01AR028450 · NIAMS · THOMAS JEFFERSON UNIVERSITY · PI UITTO, JOUNI · 1986 to 2019
$6.5M
Department of HealthNIAMS NIH HHS R01 AR028450
6 · The paper itself

Abstract

Revertant mosaicism is a naturally occurring phenomenon involving spontaneous correction of a pathogenic mutation in a somatic cell. Recent studies suggest that it is not a rare event and that it could be clinically relevant to phenotypic expression and patient treatment. Indeed, revertant cell therapy represents a potential 'natural gene therapy' because in vivo reversion obviates the need for further genetic correction. Revertant mosaicism has been observed in several inherited conditions, including epidermolysis bullosa, a heterogeneous group of blistering skin disorders. These diseases provide a useful model for studying revertant mosaicism because of the visual and accessible nature of skin. This overview highlights the latest developments in revertant mosaicism and the translational implications germane to heritable skin disorders.

Indexed as

Genetic TherapyMosaicismAnimalsHumansSkin Diseases

Identifiers

PMID21195026
PMCPMC3073671

What OpenQuestion holds

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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.