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Boon, C. J. F.

Publications and source records attributed to Boon, C. J. F..

3 recordsLinked to original sources

Usherin in the pineal gland: altered sleep in zebrafish models of Usher syndrome type 2a

Usher syndrome type 2A (USH2a), the most common form of hereditary deaf-blindness, is frequently accompanied by fatigue and poor sleep quality. As these sleep problems occur independently of visual decline, it is hypothesized that the USH2A-encoded protein usherin regulates sleep and circadian rhythmicity via an extra-retinal mechanism. Ush2a knockout zebrafish models were utilized to investigate this hypothesis. Immunohistochemical analysis demonstrated usherin localisation in pineal gland photoreceptor cells in wild-type larvae, alongside the USH2 complex proteins Adgrv1 and Whrna. Cross-species transcriptomic and proteomic analyses confirmed USH2A expression in all mammalian pineal gland tissues studied. Circadian clock gene expression was measured over 24 h and showed preserved oscillatory patterns in wild-type and mutant zebrafish. Ex vivo superfusion of pineal glands revealed sustained circadian melatonin release with comparable phase and period to controls, although potential differences in absolute melatonin levels could not be excluded. Despite intact clock gene expression and melatonin release in ush2a mutants, behavioural classification over 24-h recordings revealed altered sleep-wake behaviour: ush2a mutants displayed elevated daytime sleep and significantly prolonged and more variable sleep latency. The dissociation between intact molecular rhythms and abnormal sleep behaviour likely implicates that usherin plays a role in sleep-wake regulation independent of the circadian pacemaker and melatonin synthesis. These findings suggest a novel role of usherin in the pineal gland and establish a mechanistic link between usherin dysfunction and sleep disturbances, providing a biological basis for the fatigue and sleep problems reported in USH2a patients.

animal behavior and cognition↗

Multi-omics profiling, in vitro and in vivo enhancer assays dissect the cis -regulatory mechanisms underlying North Carolina macular dystrophy, a retinal enhanceropathy

North Carolina macular dystrophy (NCMD) is a rare autosomal dominant disease affecting macular development. The disease is caused by non-coding single nucleotide variants (SNVs) in two hotspot regions near PRDM13 and by duplications in two distinct chromosomal loci, overlapping DNase I hypersensitive sites near either PRDM13 or IRX1. To unravel the mechanisms by which these variants cause disease, we first established a genome-wide multi-omics retinal database, RegRet. Integration of UMI-4C profiles we generated on adult human retina then allowed fine-mapping of the interactions of the PRDM13 and IRX1 gene promoters, and the identification of eighteen candidate cis-regulatory elements (cCREs), the activity of which was investigated by luciferase and Xenopus enhancer assays. Next, luciferase assays showed that the non-coding SNVs located in the two hotspot regions of PRDM13 affect cCRE activity, including two novel NCMD-associated non-coding SNVs that we identified. Interestingly, the cCRE containing one of these SNVs was shown to interact with the PRDM13 promoter, demonstrated in vivo activity in Xenopus, and is active at the developmental stage when progenitor cells of the central retina exit mitosis, putting forward this region as a PRDM13 enhancer. Finally, mining of single-cell transcriptional data of embryonic and adult retina revealed the highest expression of PRDM13 and IRX1 when amacrine cells start to synapse with retinal ganglion cells, supporting the hypothesis that altered PRDM13 or IRX1 expression impairs interactions between these cells during retinogenesis. Overall, this study gained insight into the cis-regulatory mechanisms of NCMD and supports that this condition is a retinal enhanceropathy. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=149 SRC="FIGDIR/small/481329v2_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@4a85e3org.highwire.dtl.DTLVardef@9bfe55org.highwire.dtl.DTLVardef@156a9d8org.highwire.dtl.DTLVardef@a8cb92_HPS_FORMAT_FIGEXP M_FIG C_FIG

genomics↗

Resolving the dark matter of ABCA4 for 1,054 Stargardt disease probands through integrated genomics and transcriptomics

Missing heritability in human diseases represents a major challenge. Although whole-genome sequencing enables the analysis of coding and non-coding sequences, substantial costs and data storage requirements hamper its large-scale use to (re)sequence genes in genetically unsolved cases. The ABCA4 gene implicated in Stargardt disease (STGD1) has been studied extensively for 22 years, but thousands of cases remained unsolved. Therefore, single molecule molecular inversion probes were designed that enabled an automated and cost-effective sequence analysis of the complete 128-kb ABCA4 gene. Analysis of 1,054 unsolved STGD and STGD-like probands resulted in bi-allelic variations in 448 probands. Twenty-seven different causal deep-intronic variants were identified in 117 alleles. Based on in vitro splice assays, the 13 novel causal deep-intronic variants were found to result in pseudo-exon (PE) insertions (n=10) or exon elongations (n=3). Intriguingly, intron 13 variants c.1938-621G>A and c.1938-514G>A resulted in dual PE insertions consisting of the same upstream, but different downstream PEs. The intron 44 variant c.6148-84A>T resulted in two PE insertions that were accompanied by flanking exon deletions. Structural variant analysis revealed 11 distinct deletions, two of which contained small inverted segments. Uniparental isodisomy of chromosome 1 was identified in one proband. Integrated complete gene sequencing combined with transcript analysis, identified pathogenic deep-intronic and structural variants in 26% of bi-allelic cases not solved previously by sequencing of coding regions. This strategy serves as a model study that can be applied to other inherited diseases in which only one or a few genes are involved in the majority of cases.

genetics↗