Biology subjects

Lun, M. Y.

Publications and source records attributed to Lun, M. Y..

3 recordsLinked to original sources

bioRxiv2025

Pathogenic DVL frameshifting variants in Robinow syndrome disrupt WNT signaling and cellular dynamics

Robinow syndrome (RS) is a genetically heterogeneous rare disorder involving six genes in the WNT/planar cell polarity (PCP) signaling pathway. Frameshifting variants in DVL genes that introduce a novel basic C-terminus are a common cause of autosomal dominant RS, accounting for [~]33% of individuals without ROR2 variants. Here, we review ClinVar and literature variants affecting DVL paralogs resulting in RS and investigate the cellular effects of pathogenic DVL frameshift variants with mutant tails replacing at least 82 amino acids. In silico analysis of the new C-termini revealed altered intrinsically disordered regions (IDRs), charge distribution, and predicted protein structures. To explore potential altered biological mechanisms caused by novel C-termini, we generated wild-type (WT), frameshift, and truncated constructs of DVL1-3, and analyzed their behavior in a transfection-based in vitro systems. DVL proteins normally polymerize into cytoplasmic puncta that redistribute upon WNT stimulation. Immunocytochemistry showed that mutant DVL proteins failed to change their localization in response to WNT ligands, in contrast to WT alleles--a consistent observation across all three DVLs. In line with this, TOPFlash reporter assays demonstrated that mutant DVL1 and DVL3 failed to activate canonical WNT signaling, while WT proteins induced strong activation. Additionally, the mutant C-terminal tail interfered with CSNK1E-induced phosphorylation, offering a potential mechanism underlying the impaired WNT response. Our results provide further understanding of the cellular consequences of pathogenic DVL frameshifting variants and offers insights into the effects of such alleles on WNT signaling, and the perturbations thereof, that may lead to developmental phenotypes observed in RS.

genetics↗

bioRxiv2024

VizCNV: An integrated platform for concurrent phased BAF and CNV analysis with trio genome sequencing data

BackgroundCopy number variation (CNV) is a class of genomic Structural Variation (SV) that underlie genomic disorders and can have profound implications for health. Short-read genome sequencing (sr-GS) enables CNV calling for genomic intervals of variable size and across multiple phenotypes. However, unresolved challenges include an overwhelming number of false-positive calls due to systematic biases from non-uniform read coverage and collapsed calls resulting from the abundance of paralogous segments and repetitive elements in the human genome. MethodsTo address these interpretative challenges, we developed VizCNV. The VizCNV computational tool for inspecting CNV calls uses various data signal sources from sr-GS data, including read depth, phased B-allele frequency, as well as benchmarking signals from other SV calling methods. The interactive features and view modes are adept for analyzing both chromosomal abnormalities [e.g., aneuploidy, segmental aneusomy, and chromosome translocations], gene exonic CNV and non-coding gene regulatory regions. In addition, VizCNV includes a built-in filter schema for trio genomes, prioritizing the detection of impactful germline CNVs, such as de novo CNVs. Upon computational optimization by fine-tuning parameters to maximize sensitivity and specificity, VizCNV demonstrated approximately 83.8% recall and 77.2% precision on the 1000 Genome Project data with an average coverage read depth of 30x. ResultsWe applied VizCNV to 39 families with primary immunodeficiency disease without a molecular diagnosis. With implemented build-in filter, we identified two de novo CNVs and 90 inherited CNVs >10 kb per trio. Genotype-phenotype analyses revealed that a compound heterozygous combination of a paternal 12.8 kb deletion of exon 5 and a maternal missense variant allele of DOCK8 are likely the molecular cause of one proband. ConclusionsVizCNV provides a robust platform for genome-wide relevant CNV discovery and visualization of such CNV using sr-GS data.

genomics↗

bioRxiv2023

Break-induced replication underlies formation of inverted triplications and generates unexpected diversity in haplotype structures

BackgroundThe duplication-triplication/inverted-duplication (DUP-TRP/INV-DUP) structure is a type of complex genomic rearrangement (CGR) hypothesized to result from replicative repair of DNA due to replication fork collapse. It is often mediated by a pair of inverted low-copy repeats (LCR) followed by iterative template switches resulting in at least two breakpoint junctions in cis. Although it has been identified as an important mutation signature of pathogenicity for genomic disorders and cancer genomes, its architecture remains unresolved and is predicted to display at least four structural variation (SV) haplotypes. ResultsHere we studied the genomic architecture of DUP-TRP/INV-DUP by investigating the genomic DNA of 24 patients with neurodevelopmental disorders identified by array comparative genomic hybridization (aCGH) on whom we found evidence for the existence of 4 out of 4 predicted SV haplotypes. Using a combination of short-read genome sequencing (GS), long- read GS, optical genome mapping and StrandSeq the haplotype structure was resolved in 18 samples. This approach refined the point of template switching between inverted LCRs in 4 samples revealing a DNA segment of [~]2.2-5.5 kb of 100% nucleotide similarity. A prediction model was developed to infer the LCR used to mediate the non-allelic homology repair. ConclusionsThese data provide experimental evidence supporting the hypothesis that inverted LCRs act as a recombinant substrate in replication-based repair mechanisms. Such inverted repeats are particularly relevant for formation of copy-number associated inversions, including the DUP-TRP/INV-DUP structures. Moreover, this type of CGR can result in multiple conformers which contributes to generate diverse SV haplotypes in susceptible loci.

genetics↗