PolyAIA

Published: 30 July 2026| Version 1 | DOI: 10.17632/x54sns7zs2.1
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Description

Single-cell RNA-seq dataset from mouse brain used to study alcohol-induced changes in alternative polyadenylation (APA). The file Seurat_PolyA.RData contains a processed Seurat object (normalized counts, cell metadata, and clustering/annotation) comparing alcohol-exposed and control samples. Only the processed object needed to run the polyAIA pipeline is included; raw sequencing files are not part of this deposit.

Files

Steps to reproduce

1. Install R (version [X]) and the required packages: Seurat ([version]), polyAIA ([version/repo link]). 2. Download Seurat_PolyA.RData and load it in R: load("Seurat_PolyA.RData"). 3. Run the polyAIA pipeline on the loaded Seurat object: polyAIA::run_polyAIA(seurat_obj, ...) (adjust function/arguments to your package). 4. Inspect output for differential polyadenylation events between alcohol-exposed and control groups.

Categories

Bioinformatics, Alzheimer's Disease, Alcohol, Single-Cell Transcriptomics

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