METHODS article
Front. Immunol.
Sec. Systems Immunology
Making Deep Immunophenotyping Accessible: The successful application of a guided 23-parameter mouse immunophenotyping panel package provided through a shared resource
Provisionally accepted- 1Virginia Commonwealth University, Richmond, United States
- 2Richmond Department of Veterans Affairs, Richmond, United States
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This 23-color mouse immunophenotyping panel was designed and developed by the Virginia Commonwealth University's (VCU) Flow Cytometry Shared Resource (FCSR) to easily bring new use to our high parameter spectral cytometers. Our method is broadly applicable to multiple tissue types, is modifiable, and provides a reproducible, cost-effective option for utilizing high-parameter flow cytometry. To facilitate the mouse immunophenotyping panel, researchers can be provided with optimized reagents, a step-by-step staining protocol, instrument training, pre-run single color controls as well as acquisition and analysis templates to streamline the workflow. Data analysis is generally done with a traditional manual gating strategy but t-stochastic neighbor embedding (tSNE) and uniform manifold approximation projection (uMAP) generation can be performed, as desired. In an FCSR, this panel requires only light preparation work for shared resource (SR) staff with maximum benefit for researchers. Overall, this publication describes how SR facilities can provide additional benefits and services to their clientele by reducing costs, increasing reproducibility, and lowering the barriers of entry for researchers into the field of high parameter spectral flow cytometry. The panel described is used as an example of the application of the included methods, as well as a complete resource for other institutions to utilize themselves.
Keywords: Flow Cytometry, Immune phenotyping, Mouse, Antibodies, Panel Design and Optimization
Received: 17 Jul 2025; Accepted: 03 Dec 2025.
Copyright: © 2025 Isbell, Wendling, Pei, KUMAR, Mannangatti, Krisanits, Cheatham, Michenkova, Shumilov, Mendoza, Fernandez, Bryan, Nguyen, May, Das, Findlay, Akbarali, Garcia-Bonilla, Limbrick, Sweet, da Rocha, Neuwelt, Fisher, Sarkar, Wang, Landry and Martin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Rebecca Kelley Martin
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
