Ontology highlight
ABSTRACT: Background
Circulating tumor cells (CTC) provide a minimally invasive window into metastatic disease but are difficult to detect and estimate due to their rarity and heterogeneity. Conventional enrichment-based approaches introduce selection bias and fail to capture diverse CTC populations. Single-cell RNA sequencing (scRNA seq) enables unbiased transcriptomic profiling of diverse cell types and rare population within complex samples like blood. Here, we evaluated feasibility of a computational spike-in framework to assess the sensitivity and specificity of scRNA seq based CTC detection in a peripheral blood background.Methods
Three PBMC datasets comprising 20,871; 14,367; and 13,731 cells were created by merging Cell Ranger-derived raw matrices from 12 PBMC samples (4 per
SUBMITTER: Kumar S
PROVIDER: S-EPMC12908076 | biostudies-literature | 2026 Mar
REPOSITORIES: biostudies-literature