bioRxivGenomicsPreprint
PeakATail: precision-first poly(A)-site calling and calibrated alternative polyadenylation analysis in single-cell RNA-seq
Abstract
Most human genes can end their messenger RNAs at more than one position, and the choice shifts between cell types. Single-cell sequencing reads that choice in individual cells, but two questions are seldom asked: are the reported sites real, and does the test for a cell-type difference hold its error rate? Here we introduce our tool PeakATail, which calls polyadenylation sites from reads still carrying a piece of the tail, ranks them by how many distinct molecules carry that evidence, discards sites where adenosine-rich genomic sequence mimics a tail, and pairs them with a differential test whose error rate is measured, not assumed. The evidence is scarce, so the tool is built to be right rather than complete. Across four libraries from two species, 71 to 83 percent of its calls fall within 100 bases of a curated atlas, over thirty times the shuffled-control rate; long reads from different donors support 76.5 percent of the human calls. The cost is sensitivity. Only one of six test configurations held its false-positive rate under shuffled labels; with it, 15,942 cell-type switches replicated across twelve lung cancer patients and none in ten shuffled-label runs. One pre-registered target was missed and is reported.
- organism: human
- organism: mouse
- assay: scRNA-seq
- research focus: differential expression
- approach: statistical model
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- scTail: precise polyadenylation site detection and its alternative usage analysis from reads 1 preserved 3' scRNA-seq data
Ruiyan Hou, Yuanhua Huang·Genome biologyPeer-reviewed·Aug 7, 2025
- scPolyA enables efficient, interactive and agent-guided alternative polyadenylation analysis in single-cell and spatial transcriptomes
Jingsen Yang, Haoyu Yang, … Jiayu Wen·bioRxiv·Nov 9, 2026
- Identification and quantification of alternative polyadenylation sites in single cell RNA-seq data using scPAISO
Yongjie Liu, Peiwen Xiong, … Youcai Deng·Journal of genetics and genomics/Journal of Genetics and GenomicsPeer-reviewed·Aug 1, 2026
- scraps: an end-to-end pipeline for measuring alternative polyadenylation at high resolution using single-cell RNA-seq
Rui Fu, Kent A. Riemondy, … Austin E. Gillen·bioRxiv·Aug 22, 2022
- metaAPA: a tool for integration of PolyA site predictions from single-cell and spatial transcriptomics
Qian Zhao, Magnus Rattray·Bioinformatics AdvancesPeer-reviewed·Jan 1, 2026
- Comprehensive mapping of the alternative polyadenylation site usage and its dynamics at single cell resolution
Junliang Wang, Wei Chen, … Wenfei Jin·Proceedings of the National Academy of SciencesPeer-reviewed·Dec 1, 2022