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Zebrafish regulatory genomic resources for disease modelling and regeneration

In the past decades, the zebrafish has become a disease model with increasing popularity owing to its advantages that include fast development, easy genetic manipulation, simplicity for imaging, and sharing conserved disease-associated genes and pathways with those of human. In parallel, studies of...

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Autores principales: Jimenez Gonzalez, Ada, Baranasic, Damir, Müller, Ferenc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Company of Biologists Ltd 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417509/
https://www.ncbi.nlm.nih.gov/pubmed/37529920
http://dx.doi.org/10.1242/dmm.050280
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author Jimenez Gonzalez, Ada
Baranasic, Damir
Müller, Ferenc
author_facet Jimenez Gonzalez, Ada
Baranasic, Damir
Müller, Ferenc
author_sort Jimenez Gonzalez, Ada
collection PubMed
description In the past decades, the zebrafish has become a disease model with increasing popularity owing to its advantages that include fast development, easy genetic manipulation, simplicity for imaging, and sharing conserved disease-associated genes and pathways with those of human. In parallel, studies of disease mechanisms are increasingly focusing on non-coding mutations, which require genome annotation maps of regulatory elements, such as enhancers and promoters. In line with this, genomic resources for zebrafish research are expanding, producing a variety of genomic data that help in defining regulatory elements and their conservation between zebrafish and humans. Here, we discuss recent developments in generating functional annotation maps for regulatory elements of the zebrafish genome and how this can be applied to human diseases. We highlight community-driven developments, such as DANIO-CODE, in generating a centralised and standardised catalogue of zebrafish genomics data and functional annotations; consider the advantages and limitations of current annotation maps; and offer considerations for interpreting and integrating existing maps with comparative genomics tools. We also discuss the need for developing standardised genomics protocols and bioinformatic pipelines and provide suggestions for the development of analysis and visualisation tools that will integrate various multiomic bulk sequencing data together with fast-expanding data on single-cell methods, such as single-cell assay for transposase-accessible chromatin with sequencing. Such integration tools are essential to exploit the multiomic chromatin characterisation offered by bulk genomics together with the cell-type resolution offered by emerging single-cell methods. Together, these advances will build an expansive toolkit for interrogating the mechanisms of human disease in zebrafish.
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spelling pubmed-104175092023-08-12 Zebrafish regulatory genomic resources for disease modelling and regeneration Jimenez Gonzalez, Ada Baranasic, Damir Müller, Ferenc Dis Model Mech Special Article In the past decades, the zebrafish has become a disease model with increasing popularity owing to its advantages that include fast development, easy genetic manipulation, simplicity for imaging, and sharing conserved disease-associated genes and pathways with those of human. In parallel, studies of disease mechanisms are increasingly focusing on non-coding mutations, which require genome annotation maps of regulatory elements, such as enhancers and promoters. In line with this, genomic resources for zebrafish research are expanding, producing a variety of genomic data that help in defining regulatory elements and their conservation between zebrafish and humans. Here, we discuss recent developments in generating functional annotation maps for regulatory elements of the zebrafish genome and how this can be applied to human diseases. We highlight community-driven developments, such as DANIO-CODE, in generating a centralised and standardised catalogue of zebrafish genomics data and functional annotations; consider the advantages and limitations of current annotation maps; and offer considerations for interpreting and integrating existing maps with comparative genomics tools. We also discuss the need for developing standardised genomics protocols and bioinformatic pipelines and provide suggestions for the development of analysis and visualisation tools that will integrate various multiomic bulk sequencing data together with fast-expanding data on single-cell methods, such as single-cell assay for transposase-accessible chromatin with sequencing. Such integration tools are essential to exploit the multiomic chromatin characterisation offered by bulk genomics together with the cell-type resolution offered by emerging single-cell methods. Together, these advances will build an expansive toolkit for interrogating the mechanisms of human disease in zebrafish. The Company of Biologists Ltd 2023-08-02 /pmc/articles/PMC10417509/ /pubmed/37529920 http://dx.doi.org/10.1242/dmm.050280 Text en © 2023. Published by The Company of Biologists Ltd https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle Special Article
Jimenez Gonzalez, Ada
Baranasic, Damir
Müller, Ferenc
Zebrafish regulatory genomic resources for disease modelling and regeneration
title Zebrafish regulatory genomic resources for disease modelling and regeneration
title_full Zebrafish regulatory genomic resources for disease modelling and regeneration
title_fullStr Zebrafish regulatory genomic resources for disease modelling and regeneration
title_full_unstemmed Zebrafish regulatory genomic resources for disease modelling and regeneration
title_short Zebrafish regulatory genomic resources for disease modelling and regeneration
title_sort zebrafish regulatory genomic resources for disease modelling and regeneration
topic Special Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417509/
https://www.ncbi.nlm.nih.gov/pubmed/37529920
http://dx.doi.org/10.1242/dmm.050280
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