Mouse Heart Spatial Transcriptomics Data for Control and HFpEF Conditions

High-resolution spatial transcriptomics data of fresh frozen mouse heart tissues generated using the 10x Genomics Visium HD platform. The dataset, created by jun zhou and last updated in April 2026, contains filtered gene-barcode count matrices and spatial coordinates at an 8-μm binned resolution, totaling 4.1 GB in size.

Use Cases

• Map spatial gene expression patterns in heart tissue based on the provided count matrices and coordinates.
• Compare transcriptional profiles between control and HFpEF (heart failure with preserved ejection fraction) mouse models.
• Identify cell-type-specific or region-specific gene signatures in cardiac tissue.
• Validate or develop spatial analysis algorithms using high-resolution Visium HD data.

Strengths

• Data is high-resolution, generated on the 10x Genomics Visium HD platform and sequenced on an Illumina NovaSeq 6000.
• Files are processed and filtered, providing count matrices and spatial coordinates ready for analysis.
• Dataset is 4.1 GB, indicating a medium-scale, detailed spatial transcriptomics study.

Limitations

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

Provenance

Source

figshare, author jun zhou

Collection Method

Tissues were sectioned at 10 μm and processed per 10x Genomics protocols; sequencing data was processed with Space Ranger v3.0.

Time Range

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Freshness

Last updated 2026-04-14 05:09:20; freshness should be verified.

Geography

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