Spatiotemporally resolved transcriptomics reveals the cellular dynamics of human retinal development

The morphogenesis and cellular interactions in developing retina are incompletely characterized. The full understanding needs a precise mapping of the gene expression with a single-cell spatial resolution. Here, we present a spatial transcriptomic (ST) resource for the developing human retina at six developmental stages. Combining the spatial and single-cell transcriptomic data enables characterization of the cell-type-specific expression profiles at distinct anatomical regions at each developmental stage, highlighting the spatiotemporal dynamics of cellular composition during retinal development. All the ST spots are catalogued into consensus spatial domains, which are further associated to their specific expression signatures and biological functions associated with neuron and eye development. We prioritize a set of critical regulatory genes for the transitions of spatial domains during retinal development. Differentially expressed genes from different spatial domains are associated with distinct retinal diseases, indicating the biological relevance and clinical significance of the spatially defined gene expression. Finally, we reconstruct the spatial cellular communication networks, and highlight critical ligand-receptor interactions during retinal development. Overall, our study reports the spatiotemporal dynamics of gene expression and cellular profiles during retinal development, and provides a rich resource for the future studies on retinogenesis.

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Publication Details

Journal
Nature Communications
Published
2025-03-07
DOI
https://doi.org/10.1038/s41467-025-57625-9
Citations
7
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
5.64
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article

Spatiotemporally resolved transcriptomics reveals the cellular dynamics of human retinal development

Yucheng Yang, Xing‐Ming Zhao, Zixin Chen, Xingzhong Zhao et al.
7 citations
Nature Communications
Single-cell and spatial transcriptomics
5.64
article

Spatiotemporally resolved transcriptomics reveals the cellular dynamics of human retinal development

Yucheng Yang, Xing‐Ming Zhao, Zixin Chen, Xingzhong Zhao, Robert S. Molday, Qiongjie Zhou, Yinan Wang, Jiao Wang, Xiaotian Li, Junyi Zhuang, Jinglong Zhang, Ziquan Gan, Chunxiu Wang
article en
7 citations

Abstract

The morphogenesis and cellular interactions in developing retina are incompletely characterized. The full understanding needs a precise mapping of the gene expression with a single-cell spatial resolution. Here, we present a spatial transcriptomic (ST) resource for the developing human retina at six developmental stages. Combining the spatial and single-cell transcriptomic data enables characterization of the cell-type-specific expression profiles at distinct anatomical regions at each developmental stage, highlighting the spatiotemporal dynamics of cellular composition during retinal development. All the ST spots are catalogued into consensus spatial domains, which are further associated to their specific expression signatures and biological functions associated with neuron and eye development. We prioritize a set of critical regulatory genes for the transitions of spatial domains during retinal development. Differentially expressed genes from different spatial domains are associated with distinct retinal diseases, indicating the biological relevance and clinical significance of the spatially defined gene expression. Finally, we reconstruct the spatial cellular communication networks, and highlight critical ligand-receptor interactions during retinal development. Overall, our study reports the spatiotemporal dynamics of gene expression and cellular profiles during retinal development, and provides a rich resource for the future studies on retinogenesis.

Nature CommunicationsVol. 16(1)
Shanghai University (CN), Shanghai Medical College of Fudan University (CN), University of British Columbia (CA), Fudan University (CN), Huzhou Normal University (CN), Shanghai Institute for Science of Science (CN), Shenzhen Maternity and Child Healthcare Hospital (CN), Huzhou Central Hospital (CN), Zhongshan Hospital (CN), Obstetrics and Gynecology Hospital of Fudan University (CN), Shanghai Center for Brain Science and Brain-Inspired Technology (CN)
Zero hunger
Openalex Percentile: Top 4%
Single-cell and spatial transcriptomics
5.64
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