bioRxiv Science⌕ Search

bioRxiv · 10.1101/2025.01.15.633275

Enhanced proconvulsant sensitivity, not spontaneous rapid swimming activity, is a robust correlate of scn1lab loss-of-function in stable mutant and F0 crispant hypopigmented zebrafish expressing GCaMP6s

Abstract

Zebrafish models of genetic epilepsy benefit from the ability to assess disease-relevant knock-out alleles with numerous tools, including genetically encoded calcium indicators (GECIs) and hypopigmentation alleles to improve visualization. However, there may be unintended effects of these manipulations on the phenotypes under investigation. There is also debate regarding the use of stable loss-of-function (LoF) alleles in zebrafish, due to genetic compensation (GC). In the present study, we applied a method for combined movement and calcium fluorescence profiling to the study of a zebrafish model of SCN1A, the main gene associated with Dravet syndrome, which encodes the voltage-gated sodium channel alpha1 subunit (Nav1.1). We evaluated for spontaneous and proconvulsant-induced seizure-like activity associated with scn1lab LoF mutations in larval zebrafish expressing a neuronally-driven GECI (elavl3:GCaMP6s) and a nacre mutation causing a common pigmentation defect. In parallel studies of stable scn1labs552 mutants and F0 crispant larvae generated using a CRISPR/Cas9 multi-sgRNA approach, we find that neither stable nor acute F0 larvae recapitulate the previously reported seizure-like rapid swimming phenotype nor does either group show spontaneous calcium events meeting criteria for seizure-like activity based on a logistic classifier trained on movement and fluorescence features of proconvulsant-induced seizures. This constitutes two independent lines of evidence for a suppressive effect against the scn1lab phenotype, possibly due to the GCaMP6s-derived genetic background (AB) or nacre hypopigmentation. In response to the proconvulsant pentylenetetrazole (PTZ), we see evidence of a separate suppressive effect affecting all conspecific larvae derived from the stable scn1labs552 line, independent of genotype, possibly related to a maternal effect of scn1lab LoF in mutant parents or the residual TL background. Nonetheless, both stable and F0 crispant fish show enhanced sensitivity to PTZ relative to conspecific larvae, suggesting that proconvulsant sensitivity provides a more robust readout of scn1lab LoF under our experimental conditions. Our study underscores the unexpected challenges associated with the combination of common zebrafish tools with disease alleles in the phenotyping of zebrafish models of genetic epilepsy. Our work further highlights the advantages of using F0 crispants and the evaluation of proconvulsant sensitivity as complementary approaches that faithfully reflect the shared gene-specific pathophysiology underlying spontaneous seizures in stable mutant lines. Future work to understand the molecular mechanisms by which scn1lab-related seizures and PTZ-related hyperexcitability are suppressed under these conditions may shed light on factors contributing to variability in preclinical models of epilepsy more generally and may identify genetic modifiers relevant to Dravet syndrome.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

McGraw, C. M., Baker, C. M., Poduri, A.. 2025-01-16. Enhanced proconvulsant sensitivity, not spontaneous rapid swimming activity, is a robust correlate of scn1lab loss-of-function in stable mutant and F0 crispant hypopigmented zebrafish expressing GCaMP6s. https://doi.org/10.1101/2025.01.15.633275

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

The Unreasonable Effectiveness of Cell Types in Describing Neuronal Physiological Features

Single-cell RNA sequencing (scRNA-seq) captures detailed gene expression profiles at scale, while patch-clamp recordings measure intrinsic neuronal electrophysiological properties. Modeling the relations between these two modalities remains a challenge. Here, we compare how well electrophysiological features can be predicted by traditional transcriptomic cell type classification, representations derived from a foundational model (scGPT) pretrained on large-scale scRNA-seq datasets, ion channel-coding genes, and highly variable genes. Using paired transcriptomic and electrophysiological patch-sequencing data from 495 human neurons from neurosurgical tissue, we find that cluster-level cell type representations consistently outperform highly variable gene selection, ion channel gene selection, and context-enriched scGPT embeddings. Notably, performance varies across model architectures and initializations, and the best results are obtained by combining the outputs of separate cell type and scGPT-based models. Together, these findings suggest that traditional discrete cellular classification is highly effective in predicting physiological features. For maximum performance it can be complemented by pretrained transformer models.

neuroscience↗

A nonlinear inhibition pathway underlying cortical responses to tuned holographic optogenetic perturbations

Optogenetics enables causal manipulation of cortical activity. Perturbation responses can be counterintuitive due to network interactions, making theory essential for predicting them. Existing approaches often rely on linear approximations, which fail for many biologically relevant perturbations. Here we develop a nonlinear theory of responses to holographic perturbations in cell-type-specific recurrent networks with structured connectivity. We fit a nonlinear model to mouse V1 data, which shows cotuned-ensemble suppression: perturbing spatially clustered neurons with similar preferred orientations yields markedly stronger short-range suppression than perturbing untuned ensembles. We show that cotuned-ensemble suppression arises from a feature-tuned, nonlinear inhibition pathway implicating somatostatin-positive (SST) interneurons. The theory predicts that cotuned ensembles suppress parvalbumin-positive (PV) neurons but facilitate SST neurons, and links the degree of cotuned-ensemble suppression or facilitation to the variance of the SST response. This framework identifies mechanisms by which nonlinear inhibition sculpts cortical dynamics and establishes a predictive basis for targeted optogenetic interventions.

neuroscience↗

Proteomic signatures of APOE ε4 across human tissues and cell types in Alzheimers disease

The apolipoprotein E {varepsilon}4 (APOE {varepsilon}4) allele is the strongest genetic risk factor for late-onset Alzheimers disease (AD). However, the underlying molecular mechanisms remain unclear. This study included 1691 participants from the Religious Orders Study and Rush Memory and Aging Project (ROSMAP), 1226 participants from the Accelerating Medicines Partnership - Alzheimers Disease (AMP-AD) Diverse Cohorts Study, and 735 participants from the Alzheimers Disease Neuroimaging Initiative (ADNI). To characterise APOE {varepsilon}4 molecular effects, we analysed proteomic data from plasma, cerebrospinal fluid (CSF), and induced pluripotent stem cell (iPSC)-derived astrocytes and neurons, as well as transcriptomic and proteomic data from multiple brain regions. The association of APOE {varepsilon}4 with AD neuropathology was also examined. APOE {varepsilon}4 carriers shared a plasma proteomic signature enriched for immune processes, irrespective of AD diagnosis. A machine learning classifier trained on this signature discriminated APOE {varepsilon}4 carriers from non-carriers in an independent cohort using CSF proteomics. APOE {varepsilon}4 carriage was associated with higher Braak stages and Consortium to Establish a Registry for Alzheimers Disease (CERAD) score. However, only limited APOE {varepsilon}4-associated transcriptomic and proteomic changes were observed in bulk brain tissue, with poor cross-layer concordance. Proteomic analyses of iPSC-derived astrocytes and neurons further revealed cell-type-specific APOE {varepsilon}4-associated changes. APOE {varepsilon}4 is associated with a consistent proteomic signature across plasma and CSF. Its molecular effects in the brain differ across cell types, brain regions and molecular layers. These findings support the need for cell-type-resolved multi-omic studies to elucidate how APOE {varepsilon}4 confers AD risk.

neuroscience↗