Development of a Spectral Flow Cytometry Analysis Pipeline for High-dimensional Immune Cell Characterization.
Ontology highlight
ABSTRACT: Flow cytometry is used for immune cell analysis for cell composition and function. Spectral flow cytometry allows for high-dimensional analysis of immune cells, overcoming limitations of conventional flow cytometry. However, analyzing data from large Ab panels is challenging using traditional biaxial gating strategies. We present, to our knowledge, a novel analysis pipeline to improve analysis of spectral flow cytometry. We employ this method to identify rare T cell populations in aging. We isolated splenocytes from young (2-3 mo old) and aged (18-19 mo old) female C57BL/6N mice and then stained these with a panel of 20 fluorescently labeled Abs. We performed spectral flow cytometry and then data processing and analysis using Python within a Jupyter Notebook environment to perform dimensio
SUBMITTER: Vardaman D
PROVIDER: S-EPMC11573633 | biostudies-literature | 2024 Dec
REPOSITORIES: biostudies-literature
ACCESS DATA