0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Age-related changes in the zebrafish and killifish inner ear and lateral line

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Age-related hearing loss (ARHL) is a debilitating disorder for millions worldwide. While there are multiple underlying causes of ARHL, one common factor is loss of sensory hair cells. In mammals, new hair cells are not produced postnatally and do not regenerate after damage, leading to permanent hearing impairment. By contrast, fish produce hair cells throughout life and robustly regenerate these cells after toxic insult. Despite these regenerative abilities, zebrafish show features of ARHL. Here, we show that aged zebrafish of both sexes exhibited significant hair cell loss and decreased cell proliferation in all inner ear epithelia (saccule, lagena, utricle). Ears from aged zebrafish had increased expression of pro-inflammatory genes and significantly more macrophages than ears from young adult animals. Aged zebrafish also had fewer lateral line hair cells and less cell proliferation than young animals, although lateral line hair cells still robustly regenerated following damage. Unlike zebrafish, African turquoise killifish (an emerging aging model) only showed hair cell loss in the saccule of aged males, but both sexes exhibit age-related changes in the lateral line. Our work demonstrates that zebrafish exhibit key features of auditory aging, including hair cell loss and increased inflammation. Further, our finding that aged zebrafish have fewer lateral line hair cells yet retain regenerative capacity, suggests a decoupling of homeostatic hair cell addition from regeneration following acute trauma. Finally, zebrafish and killifish show species-specific strategies for lateral line homeostasis that may inform further comparative research on aging in mechanosensory systems.

          Related collections

          Most cited references102

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Fiji: an open-source platform for biological-image analysis.

            Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              ShinyGO: a graphical gene-set enrichment tool for animals and plants

              Gene lists are routinely produced from various omic studies. Enrichment analysis can link these gene lists with underlying molecular pathways and functional categories such as gene ontology (GO) and other databases. To complement existing tools, we developed ShinyGO based on a large annotation database derived from Ensembl and STRING-db for 59 plant, 256 animal, 115 archeal and 1678 bacterial species. ShinyGO’s novel features include graphical visualization of enrichment results and gene characteristics, and application program interface access to KEGG and STRING for the retrieval of pathway diagrams and protein–protein interaction networks. ShinyGO is an intuitive, graphical web application that can help researchers gain actionable insights from gene-sets. http://ge-lab.org/go/. Supplementary data are available at Bioinformatics online.
                Bookmark

                Author and article information

                Contributors
                Allison.coffin@wsu.edu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                20 March 2024
                20 March 2024
                2024
                : 14
                : 6670
                Affiliations
                [1 ]College of Arts and Sciences, Washington State University Vancouver, ( https://ror.org/00g2fk805) Vancouver, WA 98686 USA
                [2 ]Department of Integrative Physiology and Neuroscience, Washington State University Vancouver, ( https://ror.org/00g2fk805) Vancouver, WA 98686 USA
                [3 ]Department of Neurology and Neurological Sciences, Stanford University, ( https://ror.org/00f54p054) Stanford, CA 94305 USA
                [4 ]GRID grid.168010.e, ISNI 0000000419368956, Neurosciences Interdepartmental Program, , Stanford University School of Medicine, ; Stanford, CA 94305 USA
                [5 ]Department of Genetics, Stanford University, ( https://ror.org/00f54p054) Stanford, CA 94305 USA
                [6 ]Present Address: Neuroimmunology Research, Mayo Clinic, ( https://ror.org/02qp3tb03) Rochester, MN 55902 USA
                [7 ]Present Address: Neuroscience Graduate Program, Brown University, ( https://ror.org/05gq02987) Providence, RI 02912 USA
                [8 ]Present Address: Department of Behavioral Neuroscience, Oregon Health & Science University, ( https://ror.org/009avj582) Portland, OR 97239 USA
                Article
                57182
                10.1038/s41598-024-57182-z
                10954678
                38509148
                6a2af4a9-3466-46fd-8c53-994c9c8828be
                © The Author(s) 2024

                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/.

                History
                : 6 October 2023
                : 14 March 2024
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100007588, Washington State University;
                Funded by: FundRef http://dx.doi.org/10.13039/100015525, Otonomy;
                Funded by: FundRef http://dx.doi.org/10.13039/100001033, Jane Coffin Childs Memorial Fund for Medical Research;
                Award ID: 61-1762
                Award Recipient :
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2024

                Uncategorized
                cell biology,neuroscience
                Uncategorized
                cell biology, neuroscience

                Comments

                Comment on this article