bioRxivJClub
TRACE: a framework for traceable biomedical resource construction demonstrated through single-cell glaucoma data
bioRxiv · · Preprint · Open access
Liang, Jayakumar + 9 more
Abstract ↗AI summary
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TRACE builds a traceable framework for assembling biomedical resources, demonstrated by TRACE-scGlaucoma, which harmonizes 42 single-cell studies totaling ~3.3 million cells for glaucoma research.
- Why it matters: Public omics data are abundant, but turning distributed studies into question-driven resources is hindered by heterogeneous measurements, incomplete metadata, and unclear curation decisions.
- What they did: TRACE links knowledge discovery, data curation, and resource delivery while preserving provenance; TRACE-scGlaucoma screened 57 eligible studies and standardized metadata, cell-type annotations, and reusable expression objects.
- The result: Using the curated resource, the authors show cellular enrichment of glaucoma GWAS-associated genes, compare drug-repurposing signals across biological contexts, and assess cell-type annotation reliability.
The findingWhy it mattersWhat they didThe result
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