Evidence map›Paper›PMID 41583432›Full record

ArticleFrontiers in immunology2025

Making deep immunophenotyping accessible: the successful application of a guided 23-parameter mouse immunophenotyping panel package provided through a shared resource.

Madison G Isbell, Alex Wendling, Xinyan Pei, Amit Kumar, Padmanabhan Mannangatti, Bradley A Krisanits, Stanley Cheatham, Marie Michenkova, Kirill Shumilov, Rachel G Mendoza and 17 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Special Issue "Flow Cytometry: Applications and Challenges".International journal of molecular sciences · 2026
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

27 authors.

Madison G Isbell *Massey Comprehensive Cancer Center, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States.
Alex Wendling *Massey Comprehensive Cancer Center, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States.
Xinyan PeiMassey Comprehensive Cancer Center, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States.
Amit KumarDepartment of Cellular, Molecular and Genetic Medicine, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States.
Padmanabhan MannangattiDepartment of Cellular, Molecular and Genetic Medicine, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States.
Bradley A KrisanitsMassey Comprehensive Cancer Center, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States.
Stanley CheathamDepartment of Pharmacology and Toxicology, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States.
Marie MichenkovaDepartment of Neurosurgery, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States.
Kirill ShumilovDepartment of Pharmaceutics, School of Pharmacy, Virginia Commonwealth University, Richmond, VA, United States.
Rachel G MendozaDepartment of Cellular, Molecular and Genetic Medicine, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States.
Matthew E FernandezDepartment of Pharmaceutics, School of Pharmacy, Virginia Commonwealth University, Richmond, VA, United States.
Allyn BryanRichmond Department of Veterans Affairs, Richmond, VA, United States.
Thuy-An NguyenMassey Comprehensive Cancer Center, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States.
Lauren MayMassey Comprehensive Cancer Center, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States.
Swadesh K DasMassey Comprehensive Cancer Center, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States.
Victoria J FindlayMassey Comprehensive Cancer Center, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States.
Hamid I AkbaraliDepartment of Pharmacology and Toxicology, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States.
Maria Garcia-BonillaDepartment of Neurosurgery, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States.
David D LimbrickDepartment of Neurosurgery, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States.
Douglas H SweetDepartment of Pharmaceutics, School of Pharmacy, Virginia Commonwealth University, Richmond, VA, United States.
Sandro R P da RochaDepartment of Pharmaceutics, School of Pharmacy, Virginia Commonwealth University, Richmond, VA, United States.
Alexander NeuweltRichmond Department of Veterans Affairs, Richmond, VA, United States.
Paul B FisherMassey Comprehensive Cancer Center, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States.
Devanand SarkarMassey Comprehensive Cancer Center, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States.
Xiang-Yang WangMassey Comprehensive Cancer Center, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States.
Joseph W LandryMassey Comprehensive Cancer Center, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States.
Rebecca K MartinMassey Comprehensive Cancer Center, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States.

Funding

Metabolic perturbations in conventional dendritic cells modulate Tfh13 induction in asthmatic sensitizationR01HL162991 · NHLBI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Rebecca Kelley Martin · 2023 to 2026
$2.3M
Interplay between tumor and microenvironment in bone metastasisR01CA259599 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI FISHER, PAUL B, WANG, XIANG-YANG SHAWN · 2021 to 2025
$2.3M
Lifestyle associated reactive metabolites and their negative impact on breast cancer riskR01CA245143 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI FINDLAY, VICTORIA JANE, TURNER, DAVID PAUL · 2020 to 2024
$2.1M
NCI NIH HHS R01 CA245143NCI NIH HHS R01 CA259599NHLBI NIH HHS R01 HL162991
6 · The paper itself

Abstract

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, and 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.

Indexed as

Flow CytometryImmunophenotypingAnimalsMiceReproducibility of Resultsantibodiesflow cytometryimmune phenotypingmousepanel design and optimization

Identifiers

PMID41583432
PMCPMC12827670

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.