Benchmarking of computational demultiplexing methods for single-nucleus RNA sequencing data.

ABSTRACT: Single-nucleus RNA sequencing (snRNA-Seq) has transformed our understanding of complex tissues, providing insights into cellular composition and heterogeneity in gene expression between cells, and their alterations in development and disease. High costs however constrain the number of samples analysed. Sample pooling and their demultiplexing following sequencing based on prior labelling with antibodies or lipid anchors conjugated to DNA barcodes (cell hashing and MULTI-seq), or using genetic differences between samples, provides a solution. However, there remains no comprehensive evaluation of these demultiplexing tools to guide selection between them. Here, we benchmark the leading software (Vireo, Souporcell, Freemuxlet, scSplit) used for sample demultiplexing using genetic variants. We

SUBMITTER: Fu Y 

PROVIDER: S-EPMC12286777 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature