Evidence map›Paper›PMID 23927865›Full record

ReviewTrends in genetics : TIG2013

The zebrafish as a model for complex tissue regeneration.

Matthew Gemberling, Travis J Bailey, David R Hyde, Kenneth D Poss

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 294 papers.

0numbers the graph read from it
0cells of the map it votes in
294citing 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

294 citing papers in PubMed.

  1. Article
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  8. Integrative In Vivo and Proteomic Analysis of aMolecules (Basel, Switzerland) · 2026
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234 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.

Matthew GemberlingDepartment of Cell Biology and Howard Hughes Medical Institute, Duke University Medical Center, Durham, NC 27710, USA.
Travis J Bailey
David R Hyde
Kenneth D Poss

Funding

ORGANIZATION AND FUNCTIONS OF CELLULAR STRUCTUREST32GM007184 · NIGMS · DUKE UNIVERSITY · PI JINKS-ROBERTSON, SUE · 1985 to 2019
$18.2M
Regulation of Myocardial Regeneration in ZebrafishR01HL081674 · NHLBI · DUKE UNIVERSITY · PI POSS, KENNETH D · 2005 to 2019
$6.6M
Regulation of Appendage Regeneration in ZebrafishR01GM074057 · NIGMS · DUKE UNIVERSITY · PI POSS, KENNETH D · 2006 to 2017
$3.7M
Genetic Hierarchy Underlying Photoreceptor RegenerationR01EY018417 · NEI · UNIVERSITY OF NOTRE DAME · PI HYDE, DAVID R, THUMMEL, RYAN · 2009 to 2012
$1.3M
Howard Hughes Medical InstituteNEI NIH HHS R01 EY018417NEI NIH HHS R01-EY018417NHLBI NIH HHS R01 HL081674NIGMS NIH HHS R01 GM074057NIGMS NIH HHS T32 GM007184
6 · The paper itself

Abstract

For centuries, philosophers and scientists have been fascinated by the principles and implications of regeneration in lower vertebrate species. Two features have made zebrafish an informative model system for determining mechanisms of regenerative events. First, they are highly regenerative, able to regrow amputated fins, as well as a lesioned brain, retina, spinal cord, heart, and other tissues. Second, they are amenable to both forward and reverse genetic approaches, with a research toolset regularly updated by an expanding community of zebrafish researchers. Zebrafish studies have helped identify new mechanistic underpinnings of regeneration in multiple tissues and, in some cases, have served as a guide for contemplating regenerative strategies in mammals. Here, we review the recent history of zebrafish as a genetic model system for understanding how and why tissue regeneration occurs.

Indexed as

RegenerationAnimal FinsAnimalsBrainHeartModels, AnimalRetinaSpinal CordZebrafishbrainfinheartregenerationretinaspinal cordstem cellszebrafish

Identifiers

PMID23927865
PMCPMC3812420

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.