STRAND: a comprehensive subcellular-resolved spatial transcriptome RNA architecture and navigation database.

STRAND compiles 35 subcellular-resolution spatial transcriptome datasets from six platforms, covering 17 human and mouse tissue types and ~4.9 billion transcript coordinates.

• Why it matters: Subcellular RNA localization is a key regulatory layer, but high-resolution spatial transcriptomics datasets are fragmented and inconsistently processed, limiting cross-study reuse and interpretation.
• What they did: STRAND uses an agent-assisted curation pipeline to harvest, quality-control, and standardize data, then runs workflows for segmentation evaluation, cell-type annotation, localization/colocalization pattern labeling, and compartment inference.
• The result: In two case studies, STRAND recovers known RNA localization patterns in cultured cell lines and detects drug-induced RNA relocalization in cardiomyocytes, enabling automated analysis of new subcellular datasets.

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