Pan-organ poly(A) atlas reveals a post-transcriptional regulatory layer independent of RNA abundance

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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Publication Details

Journal
Nature Communications
Published
2026-04-16
DOI
https://doi.org/10.1038/s41467-026-71703-6
Primary Topic
Genomics and Chromatin Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Pan-organ poly(A) atlas reveals a post-transcriptional regulatory layer independent of RNA abundance

Shasha Wu, Wenqin Lu, Yiji Xia, Jixian Zhai et al.
Nature Communications
Genomics and Chromatin Dynamics
article

Pan-organ poly(A) atlas reveals a post-transcriptional regulatory layer independent of RNA abundance

Shasha Wu, Wenqin Lu, Yiji Xia, Jixian Zhai, Yujie Gao, Yuanzheng Peng, Sisi Li, Yi Shu, Hongyan Zhu, Yingxin Fu, Yan Li, Lili Ren, Huajie Lei, Mengyun Zou, Zhijian Liu, Xin Eric Wang, Zheng Zhang, Yanping Long
article en

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).

Nature Communications
Hong Kong Baptist University (HK), Chinese University of Hong Kong (HK), Shenzhen University (CN), Northeast Normal University (CN), Southern University of Science and Technology (CN), University of Hong Kong - Shenzhen Hospital (CN), Southern Medical University Shenzhen Hospital (CN), Shenzhen University Health Science Center (CN), Shenzhen Second People's Hospital (CN), Shenzhen Third People’s Hospital (CN)
National Natural Science Foundation of China, Southern University of Science and Technology, Shenzhen Fundamental Research Program, National Science Fund for Distinguished Young Scholars
Zero hunger
Openalex Percentile: Top 16%
Genomics and Chromatin Dynamics
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