Modelling human genetic disorders in Xenopus tropicalis.


Journal

Disease models & mechanisms
ISSN: 1754-8411
Titre abrégé: Dis Model Mech
Pays: England
ID NLM: 101483332

Informations de publication

Date de publication:
01 May 2024
Historique:
medline: 4 6 2024
pubmed: 4 6 2024
entrez: 4 6 2024
Statut: ppublish

Résumé

Recent progress in human disease genetics is leading to rapid advances in understanding pathobiological mechanisms. However, the sheer number of risk-conveying genetic variants being identified demands in vivo model systems that are amenable to functional analyses at scale. Here we provide a practical guide for using the diploid frog species Xenopus tropicalis to study many genes and variants to uncover conserved mechanisms of pathobiology relevant to human disease. We discuss key considerations in modelling human genetic disorders: genetic architecture, conservation, phenotyping strategy and rigour, as well as more complex topics, such as penetrance, expressivity, sex differences and current challenges in the field. As the patient-driven gene discovery field expands significantly, the cost-effective, rapid and higher throughput nature of Xenopus make it an essential member of the model organism armamentarium for understanding gene function in development and in relation to disease.

Identifiants

pubmed: 38832520
pii: 352283
doi: 10.1242/dmm.050754
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIH HHS
ID : EY017400 and EY022954
Pays : United States
Organisme : Medical Research Council
ID : MR/V012177/1
Pays : United Kingdom

Informations de copyright

© 2024. Published by The Company of Biologists Ltd.

Déclaration de conflit d'intérêts

Competing interests The authors declare no competing or financial interests.

Auteurs

Helen Rankin Willsey (HR)

Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA.
Chan Zuckerberg Biohub - San Francisco, San Francisco, CA 94518, USA.

Eleanor G Seaby (EG)

Genomic Informatics Group, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.

Annie Godwin (A)

European Xenopus Resource Centre (EXRC), School of Biological Sciences, University of Portsmouth, Portsmouth PO1 2DY, UK.

Sarah Ennis (S)

Genomic Informatics Group, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.

Matthew Guille (M)

European Xenopus Resource Centre (EXRC), School of Biological Sciences, University of Portsmouth, Portsmouth PO1 2DY, UK.

Robert M Grainger (RM)

Department of Biology, University of Virginia, Charlottesville, VA 22904, USA.

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Classifications MeSH