ArticlebioRxiv : the preprint server for biology2026
The Blood RNA Stability Atlas: defining temporal structure and trait-state programs in the human whole-blood transcriptome.
Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Whole-blood RNA biomarkers are widely used for diagnosis and disease monitoring, but their utility depends not only on abundance but also on temporal stability, a property that is not routinely incorporated into biomarker design. We analyzed 968 longitudinal whole-blood transcriptomes from 165 healthy individuals across eight independent studies spanning diverse platforms, time scales (50 minutes to 16 weeks), and common environmental exposures. Using a cross-study analytical framework integrating variance partitioning, repeatability, and time-associated differential expression, we quantified temporal stability for 6,064 RNAs and classified transcripts into "trait" (stable) and "state" (dynamic) categories representing the extremes of longitudinal changes in transcript abundance. We identified 1,118 trait RNAs exhibiting stable within-individual levels of abundance but substantial inter-individual variability, enriched for whole-blood eGenes (P = 6.0 × 10
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