ArticleFrontiers in immunology2025
Making deep immunophenotyping accessible: the successful application of a guided 23-parameter mouse immunophenotyping panel package provided through a shared resource.
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.
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.
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.
Who cites it
2 citing papers in PubMed.
- Special Issue "Flow Cytometry: Applications and Challenges".International journal of molecular sciences · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
27 authors.
Funding
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.
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What OpenQuestion holds
Registered trials
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.