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Updated: Jun 2, 2026

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En face Cryosectioning of Mouse Retina for High-dimensional Spatial Molecular Analysis
Published on: July 8, 2025
Single-Cell Annotation and Localization via Integrating Spatial Transcriptomics Maps the Mouse Ocular Atlas and RAO
Chen Du1, Yinming Li1,2, Ziyue Li1
1College of Life Sciences, TaiKang Center for Life and Medical Sciences, Department of Ophthalmology, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, Hubei, China.
Summary
Researchers developed a new pipeline, ASCAL, to map eye cells in 3D. This tool reveals immune cell changes in the retina during retinal artery occlusion (RAO), offering insights into this blinding condition.
Area of Science:
- Ophthalmology
- Genomics
- Computational Biology
Background:
- Retinal artery occlusion (RAO) is a critical condition requiring detailed cellular understanding for effective treatments.
- Current single-cell RNA sequencing (scRNA-seq) lacks spatial information, while spatial transcriptomics faces challenges with cell segmentation and transcript capture.
- Understanding the precise location and state of cells in the eye is crucial for developing targeted therapies for blinding diseases.
Purpose of the Study:
- To develop and validate a computational pipeline, ASCAL, for automated cell annotation and spatial localization using integrated transcriptomic data.
- To construct a high-resolution spatial cell atlas of the entire mouse eye.
- To investigate the spatial cellular dynamics and pathological mechanisms underlying retinal artery occlusion (RAO) at single-cell resolution.
Main Methods:
- Integration of SeekSpace (single-nucleus resolution) for cell annotation and Stereo-seq (uniform coverage) for spatial localization within the ASCAL pipeline.
- Application of ASCAL to large-scale scRNA-seq datasets for automated annotation and localization.
- Construction of a whole-eye spatial cell atlas by mapping cell types across the ciliary body and retina.
- Validation of findings using immunofluorescence staining and RNAscope assays.
Main Results:
- ASCAL successfully enabled automated annotation and localization of cells across large spatial transcriptomic datasets.
- A comprehensive mouse whole-eye single-cell spatial atlas was generated, detailing cell distribution in the retina and ciliary body.
- Pronounced spatial immune activation was identified in the ganglion cell layer (GCL) of the RAO model.
- A specific subcluster of active Rod cells was found to be selectively depleted in RAO, with validation of its peripheral localization and loss.
Conclusions:
- The ASCAL pipeline provides an effective strategy for integrating multiple spatial transcriptomics techniques to overcome limitations of individual methods.
- The study presents a valuable whole-eye spatial cell atlas, offering unprecedented resolution for eye research.
- Novel insights into RAO pathogenesis were uncovered, highlighting spatial immune responses and rod cell dynamics, paving the way for new therapeutic strategies.
