Modifier genes and non-genetic factors reshape anatomical deficits in Zfp423-deficient mice.

Development of neural circuitry depends on the integration of signaling pathways to coordinate specification, proliferation and differentiation of cell types in the right number, in the right place, at the right time. Zinc finger protein 423 (Zfp423), a 30-zinc finger transcription factor, forms alternate complexes with components of several developmental signaling pathways, suggesting it as a point of signal integration during brain development. We previously showed that mice lacking Zfp423 have reduced proliferation of cerebellar precursor cells, resulting in complete loss of vermis and variable hypoplasia of cerebellar hemispheres. Here, we show that Zfp423(-/-) hemisphere malformations are shaped by both genetic and non-genetic factors, producing distinct phenotype distributions in different inbred genetic backgrounds. In genetic mapping studies, we identify four additive modifier loci (Amzn1-4) and seven synthetically interacting loci (Smzn1.1-3.1) that together explain approximately one-third of the phenotypic variance. Strain-specific sequence polymorphism and expression data provide a reduced list of functional variant candidate genes at each modifier locus. Environmental covariates add only modest explanatory power, suggesting an additional stochastic component. These results provide a comprehensive analysis of sources of phenotype variation in a model of hindbrain malformation.

Limitations of the human iPSC-derived neuron model for early-onset Alzheimer's disease.

Non-familial Alzheimer's disease (AD) occurring before 65 years of age is commonly referred to as early-onset Alzheimer's disease (EOAD) and constitutes ~ 5-6% of all AD cases (Mendez et al. in Continuum 25:34-51, 2019). While EOAD exhibits the same clinicopathological changes such as amyloid plaques, neurofibrillary tangles (NFTs), brain atrophy, and cognitive decline (Sirkis et al. in Mol Psychiatry 27:2674-88, 2022; Caldwell et al. in Mol Brain 15:83, 2022) as observed in the more prevalent late-onset AD (LOAD), EOAD patients tend to have more severe cognitive deficits, including visuospatial, language, and executive dysfunction (Sirkis et al. in Mol Psychiatry 27:2674-88, 2022). Patient-derived induced pluripotent stem cells (iPSCs) have been used to model and study penetrative, familial AD (FAD) mutations in APP, PSEN1, and PSEN2 (Valdes et al. in Research Square 1-30, 2022; Caldwell et al. in Sci Adv 6:1-16, 2020) but have been seldom used for sporadic forms of AD that display more heterogeneous disease mechanisms. In this study, we sought to characterize iPSC-derived neurons from EOAD patients via RNA sequencing. A modest difference in expression profiles between EOAD patients and non-demented control (NDC) subjects resulted in a limited number of differentially expressed genes (DEGs). Based on this analysis, we provide evidence that iPSC-derived neuron model systems, likely due to the loss of EOAD-associated epigenetic signatures arising from iPSC reprogramming, may not be ideal models for studying sporadic AD.

Strain-Dependent Modifier Genes Determine Survival in Zfp423 Mice.

Zfp423 encodes a transcriptional regulatory protein that interacts with canonical signaling and lineage pathways. Mutations in mouse Zfp423 or its human ortholog ZNF423 are associated with a range of developmental abnormalities reminiscent of ciliopathies, including cerebellar vermis hypoplasia and other midline brain defects. Null mice have reduced viability in most strain backgrounds. Here we show complete lethality on a C57BL/6J background, dominant rescue in backcrosses to any of 13 partner strains, with strain-dependent survival frequencies, and evidence for a BALB/c-derived survival modifier locus on chromosome 5. Survival data indicate both perinatal and postnatal periods of lethality. Anatomical data from a hypomorphic gene trap allele observed on both C57BL/6J and BALB/c congenic backgrounds shows an aggregate effect of background on sensitivity to Zfp423 loss rather than a binary effect on viability.