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Kirschner, V.

Publications and source records attributed to Kirschner, V..

3 recordsLinked to original sources

Cytosine base editing workflow for quality-controlled multiplex-knockout hiPSC lines

Dissecting polygenic disease mechanisms requires human cell models that harbour multiple targeted genetic modifications in a defined background. However, generating and rigorously validating such models remains difficult. We developed a cytosine base editing workflow to generate multiplex-knockout (KO) human induced pluripotent stem cell (hiPSC) lines. First, we assessed six cytosine base editor (CBE) variants and selected evoBE4max. We then combined sgRNA-guided introduction of premature termination codons and splice-site mutations with fluorescence-based enrichment. This yielded a median on-target C-to-T editing efficiency of 77.5% (range, 27.0-86.5%) across six loci. We generated single-, double-, and triple-KO hiPSC lines for endolysosomal Ca{superscript 2} signalling components (OCaR2, TPC1, TPC2) and confirmed loss-of-function at transcript and protein levels. We performed extensive quality control, including pluripotency assessment, SNP-array karyotyping, and whole-genome sequencing, which indicated minimal guide-directed off-target editing. We further extended multiplex editing to ORAI Ca{superscript 2} channel paralogs. This framework supports scalable production of quality-controlled multiplex-KO hiPSC lines.

genetics↗

Multi-factorial regulatory networks of placental antibody transfer by Fc receptors and maternal IgG Fc characteristics are modulated by clinical covariate profiles

Maternal immunoglobulin G (IgG) transferred across the placenta is crucial for newborn immunity. IgG transfer efficiency modulated by Fc characteristics including subclass and glycosylation gives rise to diverse transfer profiles across the population, yet the molecular mechanisms driving this variation are incompletely understood. To disentangle multimodal molecular relationships driving population heterogeneity in maternal-fetal antibody transfer, we characterized placental and serological antibody features in matched human tissues from two geographically distinct cohorts. Unsupervised clustering of maternal clinical covariates in both cohorts revealed a distinct patient profile with reduced plasma C-reactive protein and pregravid BMI and enhanced transfer efficiency of IgG subclasses. Quantification of IgG Fc glycan structures in matched maternal and cord plasma by liquid chromatography-mass spectrometry revealed subclass-specific IgG glycosylation patterns which impacted placental transfer efficiency and correlated with these key clinical features. We profiled expression and colocalization of key Fc {gamma} Receptors (Fc{gamma}Rs) by multiplex immunohistochemistry, revealing cell type-specific expression patterns. Variable Fc{gamma}R expression across gestation was consistent in both cohorts, implicating Fc{gamma}Rs as key drivers of temporal antibody transfer dynamics. While Fc{gamma}Rs were not strongly variable across the clinical profiles, partial correlation analysis of matched samples controlling for gestational age and demographic covariates revealed correlations between Fc{gamma}R expression frequencies and glycan- and subclass-specific transfer efficiency. These data systematically define multi-factorial regulatory networks of antibody transfer by placental Fc receptors and maternal IgG Fc characteristics, which are further modulated by clinical covariates. This study provides a basis for the rational design of prenatal vaccination strategies, administration schedules, and potential lifestyle interventions to improve maternal-fetal immunity.

immunology↗

Precise generation of bystander-free mouse models with ABE9-SpRY.

Point mutations cause many genetic disorders, but modelling them in organisms is technically challenging. Creating mouse models that mimic these mutations is crucial for establishing a causal relationship between mutations and disease phenotype, thereby supporting the development of therapeutic strategies. Adenine base editors (ABEs) can correct single-nucleotide variants (SNVs) in disease modelling without double-stranded breaks (DSBs) or donor DNA, achieving higher product purity than traditional Cas9 methods. Earlier ABE techniques faced issues like limited targetability, bystander editing, and off-target effects. By combining two editor advancements, we introduced and tested ABE9-SpRY, an improved ABE variant fused with a PAM-flexible SpRY-Cas9 nickase. Our results show that ABE9-SpRY effectively generates three out of four targeted A-to-G mutations in mouse embryos, with significantly fewer off-target effects than ABE8e-SpRY, achieving desired editing efficiencies of up to 96% in individual adult founder mice.ABE9-SpRY also enhances product purity in mouse embryos and human induced pluripotent stem cells (hiPSCs) compared to ABE8e-SpRY. Our findings showcase ABE9-SpRYs precision and versatility, highlighting it as a powerful tool for accurate in vivo point mutation modelling.

genetics↗