Insights into the peroxisomal protein inventory of zebrafish
dc.contributor.author | Kamoshita, M | |
dc.contributor.author | Kumar, R | |
dc.contributor.author | Anteghini, M | |
dc.contributor.author | Kunze, M | |
dc.contributor.author | Islinger, M | |
dc.contributor.author | Martins dos Santos, V | |
dc.contributor.author | Schrader, M | |
dc.date.accessioned | 2022-02-14T09:09:25Z | |
dc.date.issued | 2022-02-28 | |
dc.date.updated | 2022-02-11T16:38:18Z | |
dc.description.abstract | Peroxisomes are ubiquitous, oxidative subcellular organelles with important functions in cellular lipid metabolism and redox homeostasis. Loss of peroxisomal functions causes severe disorders with developmental and neurological abnormalities. Zebrafish are emerging as an attractive vertebrate model to study peroxisomal disorders as well as cellular lipid metabolism. Here, we combined bioinformatics analyses with molecular cell biology and reveal the first comprehensive inventory of D. rerio peroxisomal proteins, which we systematically compared with those of human peroxisomes. Through bioinformatics analysis of all PTS1-carrying proteins, we demonstrate that D.rerio lacks two well-known mammalian peroxisomal proteins (BAAT & ZADH2/PTGR3), but possesses a putative peroxisomal malate synthase (Mlsl) and verified differences in the presence of purine degrading enzymes. Furthermore, we revealed novel candidate peroxisomal proteins in D. rerio, whose function and localisation is discussed. Our findings confirm the suitability of zebrafish as a vertebrate model for peroxisome research and open possibilities for the study of novel peroxisomal candidate proteins in zebrafish and humans. | en_GB |
dc.description.sponsorship | Biotechnology & Biological Sciences Research Council (BBSRC) | en_GB |
dc.description.sponsorship | European Union Horizon 2020 | en_GB |
dc.description.sponsorship | Deutsche Forschungsgemeinschaft (DFG) | en_GB |
dc.identifier.citation | Vol. 13, article 822509 | en_GB |
dc.identifier.doi | 10.3389/fphys.2022.822509 | |
dc.identifier.grantnumber | BB/T002255/1 | en_GB |
dc.identifier.grantnumber | BB/R016844/1 | en_GB |
dc.identifier.grantnumber | 812968 | en_GB |
dc.identifier.grantnumber | 397476530 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/128796 | |
dc.identifier | ORCID: 0000-0003-2146-0535 (Schrader, Michael) | |
dc.language.iso | en | en_GB |
dc.publisher | Frontiers Media | en_GB |
dc.rights | © 2022 Kamoshita, Kumar, Anteghini, Kunze, Islinger, Martins dos Santos and Schrader. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. | en_GB |
dc.subject | peroxisomes | en_GB |
dc.subject | Danio rerio | en_GB |
dc.subject | proteome | en_GB |
dc.subject | lipid metabolism | en_GB |
dc.subject | organelle biogenesis | en_GB |
dc.title | Insights into the peroxisomal protein inventory of zebrafish | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2022-02-14T09:09:25Z | |
dc.identifier.issn | 1664-042X | |
dc.description | This is the final version. Available on open access from Frontiers Media via the DOI in this record | en_GB |
dc.description | Data availability statement: All datasets generated for this study are included in the article/Supplementary Material. | en_GB |
dc.identifier.journal | Frontiers in Physiology | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2022-02-07 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2022-02-07 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2022-02-11T16:38:22Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2022-03-03T15:02:23Z | |
refterms.panel | A | en_GB |
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Except where otherwise noted, this item's licence is described as © 2022 Kamoshita, Kumar, Anteghini, Kunze, Islinger, Martins dos Santos and Schrader. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.