bioRxiv Science⌕ Search

bioRxiv · 10.1101/2023.11.20.565320

16p11.2 Microduplication is Associated with Lobule-Specific Abnormalities in Cerebellar Structure and Function

Abstract

The 16p11.2 microduplication (16p11.2dp/+) is associated with several neuropsychiatric disorders including schizophrenia, autism spectrum disorder, bipolar disorder, intellectual disability, and attention deficit/hyperactivity disorder (ADHD). Cerebellar abnormalities have been increasingly implicated in these neuropsychiatric disorders, including those conferred by 16p11.2 microduplication. In 16p11.2dp/+ mouse models, the cerebellum is a site of transcriptional dysregulation, and cerebellar microcephaly has been reported in humans with 16p11.2 microduplication. Despite mounting evidence indicating a role for the cerebellum in neuropsychiatric disorders associated with this CNV, cerebellar cellular structure and cerebellar-dependent behavior in mice with 16p11.2 microduplication remain uncharacterized. To address this, we histologically labeled Purkinje cells (PCs) and molecular layer interneurons (MLIs) in a mouse model of 16p11.2 microduplication. We did not find any structural differences in cerebellar lobule IV/V, nor did we observe impairments in gait or motor coordination, behaviors that are associated with lobule IV/V. In contrast, we discovered a significant increase in calbindin/parvalbumin-positive PCs mislocalized to the granule layer of cerebellar lobule VI in 16p11.2dp/+ mice compared to wild-type (WT) littermates. Additionally, we found a significant decrease in parvalbumin-positive MLIs without a decrease in total DAPI-positive cell counts in lobule VI of 16p11.2dp/+ mice compared to WT littermates. Cerebellar lobule VI is associated with delay eyeblink conditioning, and 16p11.2dp/+ mice are impaired in cerebellum-dependent associative learning on this task. Specifically, 16p11.2dp/+ mice showed deficits in both conditioned response (CR) percentage and CR onset latency relative to WT mice. These results suggest that lobule VI-specific alterations to PC localization and MLI parvalbumin expression in 16p11.2dp/+ mice impair both cerebellar learning and adaptive timing of cerebellar-driven, conditioned responses. Thus, we have identified novel structural and functional alterations in the cerebellum that are associated with 16p11.2 microduplication. Importantly, individuals with schizophrenia and ADHD also show CR acquisition deficits in delay eyeblink conditioning. Together, these data suggest that the behavioral impairments in 16p11.2dp/+ mice resemble impairments seen in neuropsychiatric disorders linked to 16p11.2 microduplication in humans. Further investigation of cerebellar cortex neurons in 16p11.2dp/+ mice may provide insights into the pathogenesis of neuropsychiatric disorders linked to this copy number variant.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Hayes, C., Halverson, H., Keeran, K., Tison, K., Jacobo, K., Karki, A., Herring, I., Tunuguntla, S., Pace, M., Doan, B., Wen, H., Klomp, A., Lauffer, M., Gaine, M. E., Parker, K., Williams, A. J.. 2023-11-21. 16p11.2 Microduplication is Associated with Lobule-Specific Abnormalities in Cerebellar Structure and Function. https://doi.org/10.1101/2023.11.20.565320

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↗