Biology subjects

Nagy, R.

Publications and source records attributed to Nagy, R..

7 recordsLinked to original sources

bioRxiv2025

Electrophysiological development and functional plasticity in dissociated human cerebral organoids across multiple cell lines

Microelectrode arrays (MEAs) are increasingly used to profile the development of synchronised activity in neural organoids, yet no organoid study has investigated the consistency of electrophysiological development across cell lines. Here, we used dissociated neural organoids derived from four cell lines on MEAs to characterise functional synapse development using multiple parameters across time. The dissociated organoids had increasing functional connectivity and network activity over time across all cell lines and plasticity in response to synaptic-like stimulation. Like the organoids they were derived from, dissociated organoid cultures contained a diverse mixture of cell types. Variability in activity parameters was associated with differences in cell type composition and regional identity, which in turn were affected by donor cell line and batch effects. These results demonstrate that dissociated cerebral organoids can generate functional neurons, akin to primary neuronal cultures from brain tissue, providing a scalable model for studies of neurodevelopment and synaptic function.

neuroscience↗

bioRxiv2024

Impact of intragenic NRXN1 deletions on early cortical development

BackgroundDeletions in NRXN1 are strongly associated with neurodevelopmental and psychiatric conditions. While exonic deletions are well-studied, intragenic deletions, particularly in intron 5, are less understood and generally consider benign. Recent studies show exonic deletions impact isoform diversity during neurodevelopment, affecting neurogenesis and neuronal function. However, whether intragenic deletions impact isoform expression and neurodevelopment remains underexplored. MethodsWe used hiPSCs from typically developing individuals (control) and those with NRXN1 intron 5 deletions to study neurodevelopment. HiPSCs were differentiated towards a cortical fate, with NRXN1 isoform expression, molecular differences, and neuronal morphology examined. ResultsWe observed distinct NRXN1 isoform expression dynamics during early neurodevelopment, with two expression peaks post-neuronal induction and NRXN1{beta} being most highly expressed. Both NRXN1 deletion and control lines showed similar acquisition of regional and cell fate identity, but significant differences in NRXN1 isoform expression were observed between deletion and control lines, and between deletion lines. RNA sequencing revealed genotype-dependent alterations, particularly in pathways related to synaptic function and neuronal morphology. Consistent with these findings, NRXN1 deletion lines exhibited altered dendrite outgrowth, with variations between deletion lines. ConclusionsOur results indicate a potential role for intron 5 in controlling NRXN1 isoform expression during neurodevelopment. Alterations in gene expression profiles, correlated with morphological changes, suggest a role for NRXN1 isoforms in shaping dendritic morphology. Molecular and cellular differences observed between lines with identical intronic deletions suggest that additional factors, such as genetic background or biological sex, may also play an important role in these phenotypes. Collectively, these findings indicate that NRXN1 intronic deletions are not benign, influencing isoform expression, cellular phenotypes, and neurodevelopment.

neuroscience↗

bioRxiv2024

The calcium pump PMCA4b promotes epithelial cell polarization and lumen formation

Loss of epithelial cell polarity and tissue disorganization are hallmarks of carcinogenesis, in which Ca2+ signaling plays a significant role. Here we demonstrate that the plasma membrane Ca2+ pump PMCA4 (ATP2B4) is downregulated in luminal breast cancer, and this is associated with shorter relapse-free survival in patients with luminal A and B1 subtype tumors. Using the MCF-7 breast cancer cell model we show that PMCA4 silencing results in the loss of cell polarity while a forced increase in PMCA4b expression induces cell polarization and promotes lumen formation in 2D and 3D cell cultures. We identify Arf6 as a novel regulator of PMCA4b endocytic recycling essential for PMCA4 regulated lumen formation. Silencing of the single pmca gene in Drosophila melanogaster larval salivary gland destroys lumen morphology suggesting a conserved role of PMCAs in lumen morphogenesis. Our findings point to a novel role of PMCA4 in controlling epithelial cell polarity, and in the maintenance of normal glandular tissue architecture.

cell biology↗

bioRxiv2021

Attenuated transcriptional response to pro-inflammatory cytokines in schizophrenia hiPSC-derived neural progenitor cells

Maternal immune activation (MIA) during prenatal development is an environmental risk factor for psychiatric disorders including schizophrenia (SZ). This link is particularly well established in the case of schizophrenia. Converging lines of evidence from human and animal model studies have suggested that elevated cytokine levels in the maternal and fetal compartments are an important indication of the mechanisms driving this association. However, there is variability in susceptibility to the psychiatric risk conferred by MIA, likely influenced by genetic factors. How MIA interacts with a genetic profile susceptible to SZ is challenging to test in animal models. To address this gap, we examined whether differential gene expression responses occur in forebrain-lineage neural progenitor cells (NPCs) derived from human induced pluripotent stem cells (hiPSC) generated from three individuals with a diagnosis of schizophrenia and three healthy controls. Following acute (24 hour) treatment with either interferon-gamma (IFN{gamma}; 25 ng/l) or interleukin (IL)-1{beta} (10 ng/l), we identified, by RNA sequencing, 3380 differentially expressed genes (DEGs) in the IFN{gamma}-treated control lines (compared to untreated controls), and 1980 DEGs in IFN{gamma}-treated SZ lines (compared to untreated SZ lines). Of these, 359 genes responded differently to IFN{gamma} treatment in SZ relative to control lines, which were enriched for genes differentially expressed in adult SZ cases and in pathways related to the regulation of antigen processing, neuronal post-synaptic density, and the presynapse. There were no differentially expressed genes in the IL-1{beta}-treatment conditions after Benjamini-Hochberg correction. Gene set enrichment analysis however showed that IL-1{beta} impacts immune function and neuronal differentiation. Collectively, our data suggest that a) SZ NPCs show an attenuated transcriptional response to IFN{gamma} treatment compared to control NPCs; b) IL-1{beta} may be less relevant to NPC cultures than IFN{gamma} and c) the genes differentially regulated in schizophrenia lines are primarily mitochondrial, loss-of-function, pre- and post-synaptic genes. Our findings particularly highlight early synaptic development as a key target for future research into the mechanisms of association between maternal immune activation and schizophrenia risk. Highlights* There is a significant transcriptional response to IFN{gamma} treatment in human induced cortical neural progenitor cells (NPCs) * Differential expression implicates mitochondrial complex genes in this IFN{gamma}-dependent response, which are underexpressed in response to treatment in schizophrenia (SZ) NPCs. * SZ NPCs do not upregulate pre- and post-synaptic genes in response to IFN{gamma} as much as control NPCs * IL-1{beta} may be less relevant to NPC cultures than IFN{gamma} due to low IL1 receptor expression in NPCs.

neuroscience↗

bioRxiv2019

Antiviral signalling in human IPSC-derived neurons recapitulates neurodevelopmental disorder phenotypes

Maternal immune activation increases the risk of neurodevelopmental disorders. Elevated cytokines, such as interferon-gamma (IFN{gamma}), in offsprings brains play a central role. IFN{gamma} activates an antiviral cellular state, limiting viral entry and replication. In addition, IFN{gamma} has been implicated in brain development. Here, we hypothesise that IFN{gamma}-induced antiviral signalling contributes to molecular and cellular phenotypes associated with neurodevelopmental disorders. We find that transient IFN{gamma} treatment of neural progenitors derived from human induced pluripotent stem cells (hIPSCs) persistently increases neurite outgrowth, phenocopying hIPSC-neurons from autistic individuals. IFN{gamma} upregulates antiviral PML bodies and MHC class I (MHCI) genes, which persists through neuronal differentiation. Critically, IFN{gamma}-induced neurite outgrowth requires both PML and MHCI. We also find that IFN{gamma} disproportionately alters expression of autism and schizophrenia risk genes, suggesting convergence between these genetic and environmental risk factors. Together, these data indicate that IFN{gamma}-induced antiviral signalling may contribute to neurodevelopmental disorder aetiology.

neuroscience↗

bioRxiv2017

The landscape of actionable genomic alterations in cell-free circulating tumor DNA from 21,807 advanced cancer patients

Cell-free DNA (cfDNA) sequencing provides a non-invasive method for obtaining actionable genomic information to guide personalized cancer treatment, but the presence of multiple alterations in circulation related to treatment and tumor heterogeneity pose analytical challenges. We present the somatic mutation landscape of 70 cancer genes from cfDNA deep-sequencing analysis of 21,807 patients with treated, late-stage cancers across >50 cancer types. Patterns and prevalence of cfDNA alterations in major driver genes for non-small cell lung, breast, and colorectal cancer largely recapitulated those from tumor tissue sequencing compendia (TCGA and COSMIC), with the principle differences in alteration prevalence being due to patient treatment. This highly sensitive cfDNA sequencing assay revealed numerous subclonal tumor-derived alterations, expected as a result of clonal evolution, but leading to an apparent departure from mutual exclusivity in treatment-naive tumors. To facilitate interpretation of this added complexity, we developed methods to identify cfDNA copy-number driver alterations and cfDNA clonality. Upon applying these methods, robust mutual exclusivity was observed among predicted truncal driver cfDNA alterations, in effect distinguishing tumor-initiating alterations from secondary alterations. Treatment-associated resistance, including both novel alterations and parallel evolution, was common in the cfDNA cohort and was enriched in patients with targetable driver alterations. Together these retrospective analyses of a large set of cfDNA deep-sequencing data reveal subclonal structures and emerging resistance in advanced solid tumors.

cancer biology↗

bioRxiv2017

Genomic analysis of family data reveals additional genetic effects on intelligence and personality

Pedigree-based analyses of intelligence have reported that genetic differences account for 50-80% of the phenotypic variation. For personality traits these effects are smaller, with 34-48% of the variance being explained by genetic differences. However, molecular genetic studies using unrelated individuals typically report a heritability estimate of around 30% for intelligence and between 0% and 15% for personality variables. Pedigree-based estimates and molecular genetic estimates may differ because current genotyping platforms are poor at tagging causal variants, variants with low minor allele frequency, copy number variants, and structural variants. Using [~]20 000 individuals in the Generation Scotland family cohort genotyped for [~]700 000 single nucleotide polymorphisms (SNPs), we exploit the high levels of linkage disequilibrium (LD) found in members of the same family to quantify the total effect of genetic variants that are not tagged in GWASs of unrelated individuals. In our models, genetic variants in low LD with genotyped SNPs explain over half of the genetic variance in intelligence, education, and neuroticism. By capturing these additional genetic effects our models closely approximate the heritability estimates from twin studies for intelligence and education, but not for neuroticism and extraversion. We then replicated our finding using imputed molecular genetic data from unrelated individuals to show that [~]50% of differences in intelligence, and [~]40% of the differences in education, can be explained by genetic effects when a larger number of rare SNPs are included. From an evolutionary genetic perspective, a substantial contribution of rare genetic variants to individual differences in intelligence and education is consistent with mutation-selection balance.

genetics↗