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

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 i...

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Autores principales: Botos, Marius Alexandru, Arora, Prateek, Chouvardas, Panagiotis, Mercader, Nadia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070245/
https://www.ncbi.nlm.nih.gov/pubmed/37012284
http://dx.doi.org/10.1038/s41598-023-32272-6
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author Botos, Marius Alexandru
Arora, Prateek
Chouvardas, Panagiotis
Mercader, Nadia
author_facet Botos, Marius Alexandru
Arora, Prateek
Chouvardas, Panagiotis
Mercader, Nadia
author_sort Botos, Marius Alexandru
collection PubMed
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/.
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spelling pubmed-100702452023-04-05 Transcriptomic data meta-analysis reveals common and injury model specific gene expression changes in the regenerating zebrafish heart Botos, Marius Alexandru Arora, Prateek Chouvardas, Panagiotis Mercader, Nadia Sci Rep Article 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/. Nature Publishing Group UK 2023-04-03 /pmc/articles/PMC10070245/ /pubmed/37012284 http://dx.doi.org/10.1038/s41598-023-32272-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Botos, Marius Alexandru
Arora, Prateek
Chouvardas, Panagiotis
Mercader, Nadia
Transcriptomic data meta-analysis reveals common and injury model specific gene expression changes in the regenerating zebrafish heart
title Transcriptomic data meta-analysis reveals common and injury model specific gene expression changes in the regenerating zebrafish heart
title_full Transcriptomic data meta-analysis reveals common and injury model specific gene expression changes in the regenerating zebrafish heart
title_fullStr Transcriptomic data meta-analysis reveals common and injury model specific gene expression changes in the regenerating zebrafish heart
title_full_unstemmed Transcriptomic data meta-analysis reveals common and injury model specific gene expression changes in the regenerating zebrafish heart
title_short Transcriptomic data meta-analysis reveals common and injury model specific gene expression changes in the regenerating zebrafish heart
title_sort transcriptomic data meta-analysis reveals common and injury model specific gene expression changes in the regenerating zebrafish heart
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070245/
https://www.ncbi.nlm.nih.gov/pubmed/37012284
http://dx.doi.org/10.1038/s41598-023-32272-6
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