ArticleNature communications2026
Pan-organ poly(A) atlas reveals a post-transcriptional regulatory layer independent of RNA abundance.
Article in Nature communications, 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
Post-transcriptional regulation via the mRNA poly(A) tail is fundamental to gene expression, yet a comprehensive dataset across an entire organism is still lacking. Here, we generated a pan-organ atlas of poly(A) tail lengths across 18 murine organs using full-length nanopore sequencing that totaled 422 million reads. This dataset enables robust, single-molecule poly(A) profiling for an average of 7421 genes per sample (≥20 reads). We observed notably heterogeneous and organ-specific poly(A) tail length landscapes, ranging from profiles peaking at ~45 nt in pancreas to ~180 nt in reproductive tissues. Clustering isoforms by cross-organ poly(A) dynamics reveals functionally coherent regulatory modules that are statistically orthogonal to those derived from transcript abundance. This orthogonality is biologically informative, as poly(A) length co-regulation predicts known functional interactions even among genes with divergent expression. Together, these findings establish poly(A) tail dynamics as an independent, functionally coherent regulatory layer and provide a foundational resource for deciphering this dimension of transcriptome regulation ( https://zhailab.bio.sustech.edu.cn/mouse_atlas ).
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