MetaGate: Interactive analysis of high-dimensional cytometry data with metadata integration.
Patterns (N Y)
; 5(7): 100989, 2024 Jul 12.
Article
en En
| MEDLINE
| ID: mdl-39081571
ABSTRACT
Flow cytometry is a powerful technology for high-throughput protein quantification at the single-cell level. Technical advances have substantially increased data complexity, but novel bioinformatical tools often show limitations in statistical testing, data sharing, cross-experiment comparability, or clinical data integration. We developed MetaGate as a platform for interactive statistical analysis and visualization of manually gated high-dimensional cytometry data with integration of metadata. MetaGate provides a data reduction algorithm based on a combinatorial gating system that produces a small, portable, and standardized data file. This is subsequently used to produce figures and statistical analyses through a fast web-based user interface. We demonstrate the utility of MetaGate through a comprehensive mass cytometry analysis of peripheral blood immune cells from 28 patients with diffuse large B cell lymphoma along with 17 healthy controls. Through MetaGate analysis, our study identifies key immune cell population changes associated with disease progression.
Texto completo:
1
Base de datos:
MEDLINE
Idioma:
En
Revista:
Patterns (N Y)
Año:
2024
Tipo del documento:
Article
País de afiliación:
Noruega