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  3. Transcriptomic data meta-analysis reveals common and injury model specific gene expression changes in the regenerating zebrafish heart.
 

Transcriptomic data meta-analysis reveals common and injury model specific gene expression changes in the regenerating zebrafish heart.

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BORIS DOI
10.48350/181486
Date of Publication
April 3, 2023
Publication Type
Article
Division/Institute

Institut für Anatomie...

Universitätsklinik fü...

Author
Botos Rogozsan, Marius-Alexandru
Institut für Anatomie
Arora, Prateek
Institut für Anatomie
Chouvardas, Panagiotis
Universitätsklinik für Urologie
Department for BioMedical Research (DBMR)
Mercader Huber, Nadia Isabelorcid-logo
Institut für Anatomie
Subject(s)

500 - Science::570 - ...

600 - Technology::610...

Series
Scientific Reports
ISSN or ISBN (if monograph)
2045-2322
Publisher
Nature Publishing Group
Language
English
Publisher DOI
10.1038/s41598-023-32272-6
PubMed ID
37012284
Description
Zebrafish have the capacity to fully regenerate the heart after an injury, which lies in sharp contrast to the irreversible loss of cardiomyocytes after a myocardial infarction in humans. Transcriptomics analysis has contributed to dissect underlying signaling pathways and gene regulatory networks in the zebrafish heart regeneration process. This process has been studied in response to different types of injuries namely: ventricular resection, ventricular cryoinjury, and genetic ablation of cardiomyocytes. However, there exists no database to compare injury specific and core cardiac regeneration responses. Here, we present a meta-analysis of transcriptomic data of regenerating zebrafish hearts in response to these three injury models at 7 days post injury (7dpi). We reanalyzed 36 samples and analyzed the differentially expressed genes (DEG) followed by downstream Gene Ontology Biological Processes (GO:BP) analysis. We found that the three injury models share a common core of DEG encompassing genes involved in cell proliferation, the Wnt signaling pathway and genes that are enriched in fibroblasts. We also found injury-specific gene signatures for resection and genetic ablation, and to a lower extent the cryoinjury model. Finally, we present our data in a user-friendly web interface that displays gene expression signatures across different injury types and highlights the importance to consider injury-specific gene regulatory networks when interpreting the results related to cardiac regeneration in the zebrafish. The analysis is freely available at: https://mybinder.org/v2/gh/MercaderLabAnatomy/PUB_Botos_et_al_2022_shinyapp_binder/HEAD?urlpath=shiny/bus-dashboard/ .
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/166276
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s41598-023-32272-6.pdftextAdobe PDF3.56 MBpublishedOpen
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