bioRxiv Science⌕ Search

bioRxiv · 10.1101/2025.09.10.675309

Ectopic expression of two cone opsins in mouse RGCs results in opposite responses to light stimulation, likely due to differential G protein activation

Abstract

Retinitis pigmentosa, a leading cause of inherited blindness, results in photoreceptor degeneration that current optogenetic approaches aim to address through microbial opsin expression in retinal ganglion cells (RGCs). While these microbial proteins restore light sensitivity, their clinical potential remains limited by low light sensitivity and immunogenicity risks. Recent efforts have focused on vertebrate opsins as safer alternatives, with mid-wavelength cone opsin (MW-opsin) demonstrating RGC depolarization via endogenous G-protein signaling. In this study, we reveal a surprising divergence in signaling outcomes of expressing short-wavelength mouse cone opsin (Opn1sw) in RGCs of blind mice. Using multielectrode array recordings and whole-cell patch clamping, we demonstrate that Opn1sw induces membrane hyperpolarization in RGCs - a stark contrast to MW-opsins depolarizing effects. This unexpected inversion suggests differential engagement of intracellular signaling pathways, potentially stemming from distinct G-protein coupling preferences. Comparative analysis of native G-protein expression profiles in RGCs versus cone photoreceptors supports this hypothesis, revealing mismatches that may explain ectopic opsin behavior. Our findings challenge the assumption of conserved opsin signaling across spectral subtypes and cell types, highlighting critical gaps in understanding vertebrate opsin-G protein interactions in non-native cellular environments. This discovery points to the necessity of systematic characterization of opsin signaling networks in target retinal cells, a prerequisite for engineering optimized optogenetic tools that reliably produce desired electrophysiological outcomes. By establishing spectral subtype-dependent signaling divergence, our work redefines parameters for developing next-generation vision restoration therapies.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Rucli, M., Vrabic, N., Joffrois, C., Chaffiol, A., Desrosiers, M., Picaud, S., Marre, O., Herlitze, S., Dalkara, D.. 2025-09-15. Ectopic expression of two cone opsins in mouse RGCs results in opposite responses to light stimulation, likely due to differential G protein activation. https://doi.org/10.1101/2025.09.10.675309

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↗