Probability of stealth multiplets in sample-multiplexing for droplet-based single-cell analysis.

ABSTRACT:

Background

One of the technical limits of droplet-based single-cell RNA sequencing (scRNA-seq) is the presence of multiplets, i.e. droplets that capture multiple cells. Sample-multiplexing scRNA-seq (mx-scRNA-seq) enables us to evaluate large numbers of different samples or experiments simultaneously by reducing the occurrence of undetectable multiplets. However, there is still a possibility of hidden multiplets among what appear to be singlets, for which we introduce the term stealth multiplets, and their probability is yet to be quantitatively examined.

Results

We developed a simple theoretical model to predict four classes of possible multiplets in mx-scRNA-seq: Homogeneous stealth, partial stealth, multilabelled, and unlabelled. We estimated the probability of each class

SUBMITTER: Nakaki F 

PROVIDER: S-EPMC12285059 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature