Scientific ReportsGeneticsPeer-reviewed journal article
A zebrafish functional genomics model to investigate the role of human A20 variants in vivo
Daniele Cultrone, Nathan W. ZammitiD, Eleanor Self, Benno Postert, Jeremy Z. R. HaniD, Jacqueline BaileyiD, Joanna A WarreniD, David R. CroucheriD, Kazu KikuchiiD, Ozren BogdanovićiD, Tatyana ChtanovaiD, Daniel HesselsoniD, Shane T. GreyiD
Abstract
Germline loss-of-function variation in TNFAIP3, encoding A20, has been implicated in a wide variety of autoinflammatory and autoimmune conditions, with acquired somatic missense mutations linked to cancer progression. Furthermore, human sequence data reveals that the A20 locus contains ~400 non-synonymous coding variants which are largely uncharacterised. The growing number of A20 coding variants with unknown function, but potential clinical impact, poses a challenge to traditional mouse-based approaches. Here we report the development of a novel functional genomics approach that utilises the new A20-deficient zebrafish (Danio rerio) model to investigate the impact of TNFAIP3 genetic variants in vivo. Similar to A20-deficient mice, A20-deficient zebrafish are hyper-responsive to inflammatory triggers and exhibit spontaneous early lethality. While ectopic addition of human A20 rescued A20-null zebrafish from lethality, missense mutations at two conserved A20 residues, S381A and C243Y reversed this protective effect. Ser381 represents a phosphorylation site important for enhancing A20 activity that is abrogated by its mutation to alanine, or by a C243Y mutation that associates with human autoimmune disease. These data reveal an evolutionarily conserved role for A20, but also demonstrate how a zebrafish functional genomics pipeline can be utilized to investigate the in vivo significance of medically relevant TNFAIP3 gene variants. This approach could be utilised to investigate genetic variation for other conserved genes.
- organism: zebrafish
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: drug response / drug discovery
- approach: experimental assay
- Citations
- 12
- FWCI
- 0.62
- Field percentile
- top 38%
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