Spatial Multi-Omics Data on Sjögren's Disease Salivary Gland Tissues

2026 data release contains spatial multi-omics data from minor salivary gland tissues for studying Sjögren's Disease. The dataset includes single-cell molecule expression and location information, supporting analysis of stromal signatures and autoantigen pathology. It is a 365.6 MB ZIP file authored by Zhou Fang.

Use Cases

• Analyze single-cell molecule expression patterns to identify distinct stromal signatures associated with anti-SSA antibody profiles.
• Map single-cell location information to investigate spatial relationships between different cell types in salivary gland pathology.
• Integrate spatial transcriptomics data with multi-omics features to study subcellular autoantigen localization in autoimmune disease.

Strengths

• Data file size of 365.6 MB indicates a substantial volume of spatial multi-omics information.
• Includes both single-cell expression and spatial location data, enabling integrated analysis.
• Released under a permissive CC BY 4.0 license for broad academic and commercial use.
• Recently updated in March 2026, ensuring contemporary research relevance.

Limitations

• Unknown row and column counts prevent precise assessment of dataset scale and feature dimensionality.
• Sample data is unavailable, making it difficult to evaluate data structure and quality prior to download.
• Focus on minor salivary gland tissues may limit generalizability to other organ systems in Sjögren's Disease.

Provenance

Source

figshare repository for the manuscript 'Spatial multi-omics reveals distinct stromal signatures and subcellular autoantigen pathology of Sjögren’s Disease by anti-SSA antibody profile in Minor Salivary Gland tissues'.

Collection Method

Spatial multi-omics data collection, likely from tissue samples as described in the associated manuscript.

Freshness

Last updated on 2026-03-24.