Biology subjects

Link, N.

Publications and source records attributed to Link, N..

6 recordsLinked to original sources

bioRxiv2026

Bx42 directs neural stem cell exit from quiescence through Prospero

Microcephaly is a rare neurodevelopmental disorder characterized by a severely reduced head and brain size in children and is accompanied by a myriad of debilitating side effects including cognitive and developmental impairments. While many cases of microcephaly arise from genetic mutations, the molecular mechanism linking variants to disease remain poorly understood. We previously identified Bx42 as a microcephaly-causing gene from a patient-informed study using human brain organoid modeling and functional studies in Drosophila melanogaster. Here, we demonstrate that loss of Bx42 leads to microcephaly by reducing neural stem cell proliferation early in development. Mechanistically, our data suggest that Bx42 promotes the transition from quiescence to proliferation through regulation of the neural differentiation factor Prospero. Reduction of Bx42 results in reduced neural stem cell division due to a prolonged quiescent state. Importantly, we demonstrate that two patient-derived variants in the human ortholog, SNW1, are nonfunctional or hypomorphic, providing strong evidence that these variants are pathogenic and causative of microcephaly. Together, our findings define a previously unrecognized role for the Bx42/SNW1 pathway in regulating neural stem cell activation and brain growth, offering new mechanistic insight into the pathogenesis of genetically driven microcephaly.

developmental biology↗

bioRxiv2024

Loss of neuronal Imp induces seizure behavior through Syndecan function

Seizures affect a large proportion of the global population and occur due to abnormal neuronal activity in the brain. Unfortunately, widespread genetic and phenotypic heterogeneity contribute to insufficient treatment options. It is critical to identify the genetic underpinnings of how seizures occur to better understand seizure disorders and improve therapeutic development. We used the Drosophila model to identify that IGF-II mRNA Binding Protein (Imp) is linked to the onset of this phenotype. Specific reduction of Imp in neurons causes seizures after mechanical stimulation. Importantly, gross motor behavior is unaffected, showing Imp loss does not affect general neuronal activity. Developmental loss of Imp is sufficient to cause seizures in adults, thus Imp-modulated neuron development affects mature neuronal function. Since Imp is an RNA-binding protein, we sought to identify the mRNA target that Imp regulates in neurons to ensure proper neuronal activity after mechanical stress. We find that Imp protein binds Syndecan (Sdc) mRNA, and reduction of Sdc also causes mechanically-induced seizures. Expression of Sdc in Imp deficient neurons rescues seizure defects, showing that Sdc is sufficient to restore normal behavior after mechanical stress. We suggest that Imp protein binds Sdc mRNA in neurons, and this functional interaction is important for normal neuronal biology and animal behavior in a mechanically-induced seizure model. Since Imp and Sdc are conserved, our work highlights a neuronal specific pathway that might contribute to seizure disorder when mutated in humans.

genetics↗

bioRxiv2023

A novel adipose loss-of-function mutant in Drosophila

To identify genes required for brain growth, we took an RNAi knockdown reverse genetic approach in Drosophila. One potential candidate isolated from this effort is the anti-lipogenic gene adipose (adp). Adp has an established role in the negative regulation of lipogenesis in the fat body of the fly and adipose tissue in mammals. While fat is key to proper development in general, adp has not been investigated during brain development. Here we found that RNAi knockdown of adp in neuronal stem cells and neurons results in reduced brain lobe volume and sought to replicate this with a mutant fly. We generated a novel adp mutant that acts as a loss-of-function mutant based on buoyancy assay results. We found that despite a change in fat content in the body overall and an increase in the number of larger (>5m) brain lipid droplets, there was no change in the brain lobe volume of mutant larvae. Overall, our work describes a novel adp mutant that can functionally replace the long-standing adp60 mutant and shows that the adp gene has no obvious involvement in brain growth.

genetics↗

bioRxiv2023

A Zika virus protein expression screen in Drosophila to investigate targeted host pathways during development

In the past decade, Zika virus (ZIKV) emerged as a global public health concern. While adult infections are typically mild, maternal infection can lead to adverse fetal outcomes. Understanding how ZIKV proteins disrupt development can provide insights into the molecular mechanisms of symptoms caused by this virus including microcephaly. In this study, we generated a toolkit to ectopically express Zika viral proteins in vivo in Drosophila melanogaster in a tissue-specific manner using the GAL4/UAS system. We use this toolkit to identify phenotypes and host pathways targeted by the virus. Our work identified that expression of most ZIKV proteins cause scorable phenotypes, such as overall lethality, gross morphological defects, reduced brain size, and neuronal function defects. We further use this system to identify strain-dependent phenotypes that may contribute to the increased pathogenesis associated with the more recent outbreak of ZIKV in the Americas. Our work demonstrates Drosophilas use as an efficient in vivo model to rapidly decipher how pathogens cause disease and lays the groundwork for further molecular study of ZIKV pathogenesis in flies.

developmental biology↗

bioRxiv2019

ANKLE2, a target of Zika virus, controls asymmetric cell division of neuroblasts and uncovers a novel microcephaly pathway

Neuroblasts in flies divide asymmetrically by establishing polarity, distributing cell fate determinants asymmetrically, and positioning their spindle for cell division. The apical complex contains aPKC, Bazooka (Par3), and Par6, and its activity depends on L(2)gl. We show that Ankle2 interacts with L(2)gl and affects aPKC. Reducing Ankle2 levels disrupts ER and nuclear envelope morphology, releasing the kinase Ballchen/VRK1 into the cytosol. These defects are associated with reduced phosphorylation of aPKC, disruption of Par complex localization, and spindle alignment defects. Importantly, removal of one copy of ballchen/VRK1 or l(2)gl suppresses the loss of Ankle2 and restores viability and brain size. The Zika virus NS4A protein interacts with Drosophila Ankle2 and VRK1 in dividing neuroblasts. Human mutational studies implicate this neural cell division pathway in microcephaly and motor neuron disease. In summary, NS4A, ANKLE2, VRK1 and LLGL1 define a novel pathway that impinges on asymmetric determinants of neural stem cell division.

genetics↗

bioRxiv2019

High-throughput Multimodal Automated Phenotyping (MAP) with Application to PheWAS

ObjectiveElectronic health records (EHR) linked with biorepositories are a powerful platform for translational studies. A major bottleneck exists in the ability to phenotype patients accurately and efficiently. The objective of this study was to develop an automated high-throughput phenotyping method integrating International Classification of Diseases (ICD) codes and narrative data extracted using natural language processing (NLP).\n\nMethodWe developed a mapping method for automatically identifying relevant ICD and NLP concepts for a specific phenotype leveraging the UMLS. Aggregated ICD and NLP counts along with healthcare utilization were jointly analyzed by fitting an ensemble of latent mixture models. The MAP algorithm yields a predicted probability of phenotype for each patient and a threshold for classifying subjects with phenotype yes/no. The algorithm was validated using labeled data for 16 phenotypes from a biorepository and further tested in an independent cohort PheWAS for two SNPs with known associations.\n\nResultsThe MAP algorithm achieved higher or similar AUC and F-scores compared to the ICD code across all 16 phenotypes. The features assembled via the automated approach had comparable accuracy to those assembled via manual curation (AUCMAP 0.943, AUCmanual 0.941). The PheWAS results suggest that the MAP approach detected previously validated associations with higher power when compared to the standard PheWAS method based on ICD codes.\n\nConclusionThe MAP approach increased the accuracy of phenotype definition while maintaining scalability, facilitating use in studies requiring large scale phenotyping, such as PheWAS.

bioinformatics↗