Optimization of a T, ILCs, MAIT and NK cells multicolor panel with CytoFLEX mosaic 63 spectral detection module 9426

Abstract Description This study presents the optimization of a spectral flow cytometry panel designed to comprehensively characterize T cells, Innate Lymphoid Cells (ILCs), Mucosal-Associated Invariant T (MAIT) cells, and Natural Killer (NK) cells using the new CytoFLEX mosaic 63 spectral detection module, which provides spectral capabilities for our CytoFLEX S flow cytometer. The panel was designed to include markers that define each of these key immune cell populations, enabling simultaneous identification of multiple subsets with minimal spectral overlap. By leveraging the unique advantages of spectral flow cytometry, which allows for the detection of a higher number of parameters in a single sample, this panel provides a detailed, multi-dimensional analysis of immune cell differentiation, activation, and function. The optimization involved selecting appropriate fluorochromes, designing optimal antibody combinations, and ensuring precise unmixing. The enhanced resolution and sensitivity of the spectral flow cytometer enabled the detection of rare or subtle immune subsets that are difficult to identify with conventional flow cytometry techniques. This optimized panel offers significant advantages for studying T cells, ILCs, MAIT cells, and NK cells in diseases. The integration of spectral flow cytometry in immunological studies paves the way for more detailed and accurate immune profiling, ultimately contributing to a better understanding of immune regulation and therapeutic development. Topic Categories Technological Innovations in Immunology (TECH)

Authors

Institutions

Publication Details

Journal
The Journal of Immunology
Published
2025-11-01
DOI
https://doi.org/10.1093/jimmun/vkaf283.2825
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of a T, ILCs, MAIT and NK cells multicolor panel with CytoFLEX mosaic 63 spectral detection module 9426

Fanuel Messaggio
The Journal of Immunology
Single-cell and spatial transcriptomics
article

Optimization of a T, ILCs, MAIT and NK cells multicolor panel with CytoFLEX mosaic 63 spectral detection module 9426

Fanuel Messaggio
article en

Abstract

Abstract Description This study presents the optimization of a spectral flow cytometry panel designed to comprehensively characterize T cells, Innate Lymphoid Cells (ILCs), Mucosal-Associated Invariant T (MAIT) cells, and Natural Killer (NK) cells using the new CytoFLEX mosaic 63 spectral detection module, which provides spectral capabilities for our CytoFLEX S flow cytometer. The panel was designed to include markers that define each of these key immune cell populations, enabling simultaneous identification of multiple subsets with minimal spectral overlap. By leveraging the unique advantages of spectral flow cytometry, which allows for the detection of a higher number of parameters in a single sample, this panel provides a detailed, multi-dimensional analysis of immune cell differentiation, activation, and function. The optimization involved selecting appropriate fluorochromes, designing optimal antibody combinations, and ensuring precise unmixing. The enhanced resolution and sensitivity of the spectral flow cytometer enabled the detection of rare or subtle immune subsets that are difficult to identify with conventional flow cytometry techniques. This optimized panel offers significant advantages for studying T cells, ILCs, MAIT cells, and NK cells in diseases. The integration of spectral flow cytometry in immunological studies paves the way for more detailed and accurate immune profiling, ultimately contributing to a better understanding of immune regulation and therapeutic development. Topic Categories Technological Innovations in Immunology (TECH)

The Journal of ImmunologyVol. 214(Supplement_1)
Beckman Coulter Foundation (US)
Openalex Percentile: Top 68%
Single-cell and spatial transcriptomics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.