scUTRquant
scUTRquant quantifies alternative 3′ untranslated region (3′UTR) isoforms from single-cell RNA sequencing (scRNA-seq) data to characterize post-transcriptional regulation and 3′ end cleavage site usage.
Key Features:
- Enhanced 3′ end cleavage site annotations: Incorporates mRNA 3′ end cleavage site (CS) annotations derived from over 200 primary human and mouse cell types, increasing CS annotations by approximately 40% compared to GENCODE.
- Precision in isoform quantification: Provides rapid, precise, and accurate quantification of gene expression and 3′UTR isoform expression at single-cell resolution using novel computational methodologies.
- Comprehensive analysis across cell types: Applied to data from 474 distinct cell types and 2,134 perturbations, revealing extensive and variable changes in 3′UTR length that are comparable in prevalence to gene expression changes.
Scientific Applications:
- Gene regulation insights: Characterizes the dual axes of gene regulation—mRNA abundance and mRNA length—to inform how these factors collectively influence protein synthesis.
- Single-cell resolution studies: Enables investigation of cell-type-specific regulatory mechanisms and the impact of perturbations on 3′UTR dynamics at single-cell resolution.
- Biomedical research applications: Maps and quantifies 3′UTR isoforms relevant to diseases where post-transcriptional regulation is critical, such as cancer and genetic disorders.
Methodology:
Integrates enhanced CS annotations with computational algorithms for isoform quantification, processes scRNA-seq data to map 3′ end cleavage sites and categorize distinct isoforms per gene, and analyzes isoform usage across cell types and conditions to identify 3′UTR length variation.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R, Python
- Added:
- 3/28/2022
- Last Updated:
- 3/28/2022
Operations
Publications
Fansler MM, Mitschka S, Mayr C. Comprehensive annotation of 3′UTRs from primary cells and their quantification from scRNA-seq data. Unknown Journal. 2021. doi:10.1101/2021.11.22.469635.