Automated cell type annotation and exploration of single-cell signaling dynamics using mass cytometry.

ABSTRACT: Mass cytometry by time-of-flight (CyTOF) is an emerging technology allowing for in-depth characterization of cellular heterogeneity in cancer and other diseases. Unfortunately, high-dimensional analyses of CyTOF data remain quite demanding. Here, we deploy a bioinformatics framework that tackles two fundamental problems in CyTOF analyses namely (1) automated annotation of cell populations guided by a reference dataset and (2) systematic utilization of single-cell data for effective patient stratification. By applying this framework on several publicly available datasets, we demonstrate that the Scaffold approach achieves good trade-off between sensitivity and specificity for automated cell type annotation. Additionally, a case study focusing on a cohort of 43 leukemia patients reported sal

SUBMITTER: Kleftogiannis D 

PROVIDER: S-EPMC11253510 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature