Evidence map›Paper›PMID 40775355›Full record

ArticleGenome biology2025

scTail: precise polyadenylation site detection and its alternative usage analysis from reads 1 preserved 3' scRNA-seq data.

Ruiyan Hou, Yuanhua Huang

Abstract read
In one paragraph

Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ruiyan HouSchool of Biomedical Sciences, University of Hong Kong, Hong Kong SAR, China.
Yuanhua HuangSchool of Biomedical Sciences, University of Hong Kong, Hong Kong SAR, China. yuanhua@hku.hk.

Funding

National Natural Science Foundation of China 62222217
6 · The paper itself

Abstract

The first-strand reads (often reads 1) of three-prime single-cell RNA-seq (3' scRNA-seq) can contain informative cDNA for analysis of polyadenylation sites (PAS), but are often overlooked or trimmed. Here, we describe a computational method, scTail, to identify PAS using first-strand reads and quantify its expression leveraging second-strand reads, consequently enabling detection of alternative PAS usage. Compared with other methods, scTail detects PAS more precisely and retains high sensitivity. Furthermore, we demonstrated that combining scTail and BRIE2 can discover differential alternative PAS usage in various biological processes including cancers and time-series development, giving critical insight into PAS regulation.

Indexed as

PolyadenylationRNA-SeqSequence Analysis, RNASingle-Cell AnalysisSoftwareComputational BiologyHumansSingle-Cell Gene Expression Analysis

Identifiers

PMID40775355
PMCPMC12329888

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.