Year: 2023
Type: article
Abstract: The visual signal processing in the retina requires the precise organization of diverse neuronal types working in concert. While single-cell omics studies have identified more than 120 different neuronal subtypes in the mouse retina, little is known about their spatial organization. Here, we generated the single-cell spatial atlas of the mouse retina using multiplexed error-robust fluorescence in situ hybridization (MERFISH). We profiled over 390,000 cells and identified all major cell types and nearly all subtypes through the integration with reference single-cell RNA sequencing (scRNA-seq) data. Our spatial atlas allowed simultaneous examination of nearly all cell subtypes in the retina, revealing 8 previously unknown displaced amacrine cell subtypes and establishing the connection between the molecular classification of many cell subtypes and their spatial arrangement. Furthermore, we identified spatially dependent differential gene expression between subtypes, suggesting the possibility of functional tuning of neuronal types based on location.
Source: Nature Communications
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $6,290
Awards: G1725691317, G2640905883, G3049320902, G3867989550, Single Cell Spatial Transcriptomics Shared Instrument at the BCM Core Facility, G59736307, NLM Training Program in Biomedical Informatics & Data Science for Predoctoral and Postdoctoral Fellows, G8718705427, G8737619043, G9000153607, G9000288953, Genetics of early onset retinal diseases
OpenAlex ID: W4385839720