Related Experiment Video
Updated: Dec 27, 2025

Author Spotlight: Enhancing Drug Discovery - Development of Automated, Standardized Protocols for Nuclei Extraction from Frozen Tissues
Published on: July 28, 2023
Decontamination of ambient RNA in single-cell RNA-seq with DecontX
Shiyi Yang1, Sean E Corbett1, Yusuke Koga1
1Division of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
Abstract:
Droplet-based microfluidic devices have become widely used to perform single-cell RNA sequencing (scRNA-seq). However, ambient RNA present in the cell suspension can be aberrantly counted along with a cell's native mRNA and result in cross-contamination of transcripts between different cell populations. DecontX is a novel Bayesian method to estimate and remove contamination in individual cells. DecontX accurately predicts contamination levels in a mouse-human mixture dataset and removes aberrant expression of marker genes in PBMC datasets. We also compare the contamination levels between four different scRNA-seq protocols. Overall, DecontX can be incorporated into scRNA-seq workflows to improve downstream analyses.

