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Metabolic profiling of zebrafish embryo development from blastula period to early larval stages

Dhillon, Sundeep S.; Torell, Frida; Donten, Magdalena; Lundstedt-Enkel, Katrin; Bennett, Kate; Rännar, Stefan; Trygg, Johan; Lundstedt, Torbjörn

The zebrafish embryo is a popular model for drug screening, disease modelling and molecular genetics. In this study, samples were obtained from zebrafish at different developmental stages. The stages that were chosen were 3/4, 4/5, 24, 48, 72 and 96 hours post fertilization (hpf). Each sample included fifty embryos. The samples were analysed using gas chromatography time-of-flight mass spectrometry (GC-TOF-MS). Principle component analysis (PCA) was applied to get an overview of the data and orthogonal projection to latent structure discriminant analysis (OPLS-DA) was utilised to discriminate between the developmental stages. In this way, changes in metabolite profiles during vertebrate development could be identified. Using a GC-TOF-MS metabolomics approach it was found that nucleotides and metabolic fuel (glucose) were elevated at early stages of embryogenesis, whereas at later stages amino acids and intermediates in the Krebs cycle were abundant. This agrees with zebrafish developmental biology, as organs such as the liver and pancreas develop at later stages. Thus, metabolomics of zebrafish embryos offers a unique opportunity to investigate large scale changes in metabolic processes during important developmental stages in vertebrate development. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000099908
Veröffentlicht am 15.11.2019
DOI: 10.1371/journal.pone.0213661
Zitationen: 7
Web of Science
Zitationen: 5
Zitationen: 7
Cover der Publikation
Zugehörige Institution(en) am KIT Innovations- und Relationsmanagement (IRM)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 1932-6203
KITopen-ID: 1000099908
Erschienen in PLOS ONE
Verlag Public Library of Science (PLoS)
Band 14
Heft 5
Seiten Art. Nr.: e0213661
Bemerkung zur Veröffentlichung KIT Accelerator Lab
Vorab online veröffentlicht am 14.05.2019
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