遇见数据集

Molecular and spatial analysis of ganglion cells on retinal flatmounts identifies perivascular neurons resilient to glaucoma

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Zenodo2025-07-23 更新2026-05-26 收录
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Summary: Processed datasets from applying MERFISH spatial transcriptomics to wholemount retina. Raw imaging data will be hosted at a separate link. Uploaded Data: Anndata objects 1.merged_control.h5adRRaw concatenated cell by gene matrices across many retinae 2. merged_control_cluster_final_mapped.h5adFinal preprocessed cell by gene matrix. 3. RGC_control_mapped.h5adRGC only preprocessed matrix (a subset of the dataset above) 4. Melanopsin_runs.h5ad Processed RGC matrix of MERFISH runs with Melanopsin antibody staining (Cellbound3 column in adata.obs) Additional supplementary data 5. column_info.txtDescription of metadata in columns of .h5ad files. The most important columns are: 'final_x', 'final_y' (spatial coordinates of cells), 'run' (Retina ID), 'region' (Tissue section ID), 'class' (Cell class), 'final_assignment': (Cell type assignment). 6. Spline_coordinates.jsonSplines for the outline of each retina used in certain figures (e.g. Figure S6) 7. Exclusion_areas.zipFor Figure S7 (mosaic analysis). Contains json files, one for each ROI, containing polygons for ROI bounds as well as outlining major holes. 8. Column_mapping.csv and distances.csv Used for all SOHU and control perivascular statistics (Figure 5,6,S6)

摘要: 本数据集为将多重误差稳健荧光原位杂交(MERFISH)空间转录组学技术应用于全视网膜铺片后的处理后数据。原始成像数据将通过单独链接发布。 上传数据: Anndata 数据对象 1. merged_control.h5ad:跨多个视网膜拼接的细胞-基因原始整合矩阵 2. merged_control_cluster_final_mapped.h5ad:最终预处理完成的细胞-基因矩阵 3. RGC_control_mapped.h5ad:仅包含视网膜神经节细胞(Retinal Ganglion Cell, RGC)的预处理矩阵(为上述数据集的子集) 4. Melanopsin_runs.h5ad:带有视黑质抗体染色的MERFISH实验视网膜神经节细胞处理后矩阵(adata.obs中的Cellbound3列为相关标记列) 附加补充数据 5. column_info.txt:.h5ad文件各列的元数据说明文档。核心列包括:'final_x'、'final_y'(细胞空间坐标)、'run'(视网膜ID)、'region'(组织切片ID)、'class'(细胞类别)、'final_assignment'(细胞类型注释结果)。 6. Spline_coordinates.json:用于部分图示(如图S6)中各视网膜轮廓的样条曲线坐标数据 7. Exclusion_areas.zip:用于图S7(镶嵌分析)的压缩包,内含多个JSON文件,每个文件对应一个感兴趣区域(Region of Interest, ROI),包含该ROI的边界及主要孔洞轮廓的多边形数据 8. Column_mapping.csv 与 distances.csv:用于所有SOHU及对照组血管周统计分析(对应图5、6、S6)

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Zenodo
创建时间:
2024-12-11
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