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dc.contributor.authorKamoshita, M
dc.contributor.authorKumar, R
dc.contributor.authorAnteghini, M
dc.contributor.authorKunze, M
dc.contributor.authorIslinger, M
dc.contributor.authorMartins dos Santos, V
dc.contributor.authorSchrader, M
dc.date.accessioned2022-02-14T09:09:25Z
dc.date.issued2022-02-28
dc.date.updated2022-02-11T16:38:18Z
dc.description.abstractPeroxisomes 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.sponsorshipBiotechnology & Biological Sciences Research Council (BBSRC)en_GB
dc.description.sponsorshipEuropean Union Horizon 2020en_GB
dc.description.sponsorshipDeutsche Forschungsgemeinschaft (DFG)en_GB
dc.identifier.citationVol. 13, article 822509en_GB
dc.identifier.doi10.3389/fphys.2022.822509
dc.identifier.grantnumberBB/T002255/1en_GB
dc.identifier.grantnumberBB/R016844/1en_GB
dc.identifier.grantnumber812968en_GB
dc.identifier.grantnumber397476530en_GB
dc.identifier.urihttp://hdl.handle.net/10871/128796
dc.identifierORCID: 0000-0003-2146-0535 (Schrader, Michael)
dc.language.isoenen_GB
dc.publisherFrontiers Mediaen_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.subjectperoxisomesen_GB
dc.subjectDanio rerioen_GB
dc.subjectproteomeen_GB
dc.subjectlipid metabolismen_GB
dc.subjectorganelle biogenesisen_GB
dc.titleInsights into the peroxisomal protein inventory of zebrafishen_GB
dc.typeArticleen_GB
dc.date.available2022-02-14T09:09:25Z
dc.identifier.issn1664-042X
dc.descriptionThis is the final version. Available on open access from Frontiers Media via the DOI in this recorden_GB
dc.descriptionData availability statement: All datasets generated for this study are included in the article/Supplementary Material.en_GB
dc.identifier.journalFrontiers in Physiologyen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/  en_GB
dcterms.dateAccepted2022-02-07
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-02-07
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-02-11T16:38:22Z
refterms.versionFCDAM
refterms.dateFOA2022-03-03T15:02:23Z
refterms.panelAen_GB


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© 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.
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.