bioRxiv Science⌕ Search

bioRxiv · 10.1101/2022.08.31.506020

Lack of the glycine alpha 2 receptor impairs reward-motivated behavior and striatal signal integration.

Abstract

Distinct developmental pathologies, including autism spectrum disorder and schizophrenia, exhibit impaired reward-motivated behavior. Key to proper reward-motivated behavior is dopamine-mediated modulation of striatal activity. The glycine alpha 2 receptor (GlyR2) is the single functionally expressed glycine receptor in adult striatum, and is therefore ideally positioned to modulate striatal behavior and cellular activity. Here, we report excessive appetitive conditioning in male GlyR2 knockout mice. We next show that depletion of GlyR2 enhances dopamine-induced increases in the activity of putative dopamine D1-expressing striatal projection neurons, while not affecting dopamine neuron activity. Moreover, we found that excessive locomotor responses to amphetamine in GlyR2 KO mice correlate with immediate early gene c-fos expression in the dorsal striatum. 3-D modeling revealed an increase in the number of activated cell ensembles in the striatum in response to D-amphetamine in GlyR2 KO mice. Taken together, we show that depletion of GlyR2 impairs reward-motivated behavior and altered striatal signal integration. This sheds important light onto the cellular mechanisms that underlie reward function, and pave the way towards novel therapeutics for the treatment of e.g. schizophrenia and addiction. Significance statementThe glycine receptor alpha 2 has long been studied for its role in development, with expression assumed to decline throughout adulthood in favor of the glycine receptor alpha 1 and 3. Yet, we showed that in the dorsal striatum, the glycine alpha 2 receptor is the only functionally expressed glycine receptor at adult age (Molchanova et al., 2017). In the present work, we show for the first time that the glycine alpha 2 receptor crucially affects striatal cell activity, which lies at the basis of reward-motivated behaviors, and which is impaired in many psychiatric pathologies. Indeed, a link between the mutations in the glycine alpha 2 receptor and autism as well as schizophrenia has been described, but a functional role for the glycine alpha 2 receptor in adult brain structures that are involved in psychiatric pathologies, was never shown before.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Devoght, J., Comhair, J., Morelli, G., Rigo, J.-M., D'Hooge, R., Touma, C., Palme, R., Dewachter, I., vandeVen, M., Harvey, R. J., Schiffmann, S., Piccart, E., Brone, B.. 2022-08-31. Lack of the glycine alpha 2 receptor impairs reward-motivated behavior and striatal signal integration.. https://doi.org/10.1101/2022.08.31.506020

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↗