ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2023
OMIP-095: 40-Color spectral flow cytometry delineates all major leukocyte populations in murine lymphoid tissues.
Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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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.
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Who cites it
12 citing papers in PubMed, 26 citations in OpenAlex.
- Dose-Dependent Alterations in Lung Immune Subpopulations in Influenza a Virus Infection.International journal of molecular sciences · 2026Article
- CaptureBody - an anti-CD45 × anti-IgG bispecific antibody enables accurate unmixing for spectral flow cytometry.bioRxiv : the preprint server for biology · 2026Article
- Review
- An optimized three-laser 27-color spectral flow cytometry panel for multi-organ profiling in mice.PloS one · 2026Article
- Immunophenotyping of Mouse Colonic Unconventional T Cells by Mapping Cell Phenomics With 22-Color Flow Cytometry Assays.Phenomics (Cham, Switzerland) · 2025Article
- Automated descriptive cell type naming in flow and mass cytometry with CytoPheno.Scientific reports · 2025Article
- Spectral Flow Cytometry: The Current State and Future of the Technology.International journal of molecular sciences · 2025Review
- OMIP-111: Immune-Profiling of T Helper 1 (Th1), Th2, and Th17 Signatures in Murine Splenocytes by Targeting Intracellular Cytokines.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2025Article
- Review
- A Flow Cytometry-Based Examination of the Mouse White Blood Cell Differential in the Context of Age and Sex.Cells · 2024Article
- Cytometry in the Short-Wave Infrared.ACS nano · 2024Article
- Adipose tissue lymphocytes and obesity.The journal of cardiovascular aging · 2024Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
High-dimensional immunoprofiling is essential for studying host response to immunotherapy, infection, and disease in murine model systems. However, the difficulty of multiparameter panel design combined with a lack of existing murine tools has prevented the comprehensive study of all major leukocyte phenotypes in a single assay. Herein, we present a 40-color flow cytometry panel for deep immunophenotyping of murine lymphoid tissues, including the spleen, blood, Peyer's patches, inguinal lymph nodes, bone marrow, and thymus. This panel uses a robust set of surface markers capable of differentiating leukocyte subsets without the use of intracellular staining, thus allowing for the use of cells in downstream functional experiments or multiomic analyses. Our panel classifies T cells, B cells, natural killer cells, innate lymphoid cells, monocytes, macrophages, dendritic cells, basophils, neutrophils, eosinophils, progenitors, and their functional subsets by using a series of co-stimulatory, checkpoint, activation, migration, and maturation markers. This tool has a multitude of systems immunology applications ranging from serial monitoring of circulating blood signatures to complex endpoint analysis, especially in pre-clinical settings where treatments can modulate leukocyte abundance and/or function. Ultimately, this 40-color panel resolves a diverse array of immune cells on the axes of time, tissue, and treatment, filling the niche for a modern tool dedicated to murine immunophenotyping.
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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.