SPTT & SPTEdu-seq: Spatial Transcriptomics Data for Mouse and Human Tissues

Mouse and human spatial transcriptomics data generated using SPTT and SPTEdu-seq techniques. The dataset includes multiple mouse embryo, kidney, and brain samples, as well as human ccRCC frozen sections, with digital expression data in .mtx format and metadata. The dataset is 1.6 GB in size, authored by Shuang Zhang, and was last updated on May 14, 2026.

Use Cases

• Cell type annotation and clustering based on Seurat clusters and spatial coordinates.
• Spatial gene expression analysis based on digital expression data in .mtx format.
• RNA velocity assays based on region designations for hippocampus and cortex.
• Studying injury response dynamics based on time-series data from uninjured to 14 days post-injury (dpi) samples.

Strengths

• Includes data from multiple developmental stages (E12.5, E14.5, E15.5) and injury time points (3, 7, 14 dpi).
• Provides spatial coordinates and barcodes, enabling location-aware analysis.
• Data is provided in a compressed 1.6 GB archive, optimizing storage.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.

Provenance

Source

figshare

Collection Method

Generated using SPTT and SPTEdu-seq techniques.

Time Range

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Freshness

Last updated 2026-05-14 07:47:49; freshness should be verified.

Geography

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