Flow Cytometry in Immunology Research

A special issue of Cells (ISSN 2073-4409). This special issue belongs to the section "Cell Methods".

Deadline for manuscript submissions: 31 March 2025 | Viewed by 3172

Special Issue Editors

Head, Flow Cytometry Unit, Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot 76100, Israel
Interests: imaging flow cytometry; flow cytometry; cell biology; malaria; Golgi; senescence; cancer; microscopy; cell adhesion

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Guest Editor
Flow Cytometry Unit, Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot 76100, Israel
Interests: full-spectrum flow cytometry; immunology; cell sorting; high-dimensional analysis

Special Issue Information

Dear Colleagues,

Flow cytometry has become an indispensable tool for immunologists, offering a powerful way to analyze large number of cells rapidly on a single-cell basis. Researchers can measure multiple cellular features simultaneously, creating a more comprehensive picture of immune cell behavior. Flow cytometry can also be used to sort out specific cell populations based on their properties, enabling multiple applications of these isolated cells. Technological advancements result in a rapid increase in the number of available dyes as well as allowing instruments to detect a larger number and variety of parameters. The introduction of spectral and imaging flow cytometry further increases dramatically the amount of available information and deepens our understanding of immunological processes. 

This Special Issue will include many novel immunological applications utilizing flow cytometry, including multi-parametric immuno-phenotyping in various disease models, host-pathogen interactions, cancer immunology, immunological functional assays and methods, new analytical tools, and other related topics.  

Dr. Ziv Porat
Dr. Ekaterina Kopitman
Guest Editors

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Keywords

  • multi-parametric analysis
  • full-spectrum flow cytometry
  • imaging flow cytometry
  • immuno-phenotyping
  • immune synapse
  • cytokines
  • activation markers
  • cancer immunology
  • host-pathogen interactions
  • functional immune assays

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Published Papers (2 papers)

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Research

14 pages, 3940 KiB  
Article
Predictive Value of Flow Cytometry Quantification of BAL Lymphocytes and Neutrophils in ILD
by Erika M. Novoa-Bolivar, José A. Ros, Sonia Pérez-Fernández, José A. Campillo, Ruth López-Hernández, Rosana González-López, Almudena Otálora-Alcaraz, Cristina Ortuño-Hernández, Lourdes Gimeno, Inmaculada Ruiz-Lorente, Diana Ceballos-Francisco, Manuel Muro, Elena Solana, Pablo Martinez-Camblor and Alfredo Minguela
Cells 2024, 13(24), 2066; https://doi.org/10.3390/cells13242066 - 13 Dec 2024
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Abstract
Interstitial lung diseases (ILDs) are pathologies affecting the pulmonary interstitium and, less frequently, the alveolar and vascular epithelia. Bronchoalveolar lavage (BAL) is commonly used in ILD evaluation since it allows the sampling of the lower respiratory tract. The prognostic value of BAL cell [...] Read more.
Interstitial lung diseases (ILDs) are pathologies affecting the pulmonary interstitium and, less frequently, the alveolar and vascular epithelia. Bronchoalveolar lavage (BAL) is commonly used in ILD evaluation since it allows the sampling of the lower respiratory tract. The prognostic value of BAL cell counts in ILD is unknown. Flow cytometry quantification of lymphocytes and neutrophils in BAL of 1074 real-life consecutive patients were retrospectively correlated with clinical, radiological, anatomopathological, functional/spirometry, and evolutionary data. Cut-offs with predictive value were established at 7% and 5% for lymphocytes and neutrophils, respectively. Three risk stratification groups (Risk-LN) were established: FAVORABLE (lymphocytes > 7% and neutrophils < 5%), INTERMEDIATE (rest of patients), and UNFAVORABLE (lymphocytes < 7% and neutrophils > 5%), showing 75th percentile overall survival (OS) of 10.0 ± 1.4, 5.8 ± 0.6, and 3.0 ± 0.3 years (p < 0.001), respectively. A scoring model combining Risk-LN and the age of the patients with great predictive capacity for OS on fibrotic and non-fibrotic ILDs is proposed. This score is an independent predictive factor (HR = 1.859, p = 0.002) complementary to the fibrosis status (HR = 2.081, p < 0.001) and the type of treatment. Flow cytometry of BAL provides rapid and accurate quantification of lymphocytes and neutrophils, allowing the establishment of a risk score model that is useful in the clinical management of fibrotic and non-fibrotic ILDs from the time of diagnosis. Full article
(This article belongs to the Special Issue Flow Cytometry in Immunology Research)
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24 pages, 31715 KiB  
Article
A Flow Cytometry-Based Examination of the Mouse White Blood Cell Differential in the Context of Age and Sex
by Elise Arlt, Andrea Kindermann, Anne-Kristin Fritsche, Alexander Navarrete Santos, Heike Kielstein and Ivonne Bazwinsky-Wutschke
Cells 2024, 13(18), 1583; https://doi.org/10.3390/cells13181583 - 20 Sep 2024
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Abstract
Analysis of the white blood cell differential as part of a flow cytometry-based approach is a common routine diagnostic tool used in clinics and research. For human blood, the methodological approach, suitable markers, and gating strategies are well-established. However, there is a lack [...] Read more.
Analysis of the white blood cell differential as part of a flow cytometry-based approach is a common routine diagnostic tool used in clinics and research. For human blood, the methodological approach, suitable markers, and gating strategies are well-established. However, there is a lack of information regarding the mouse blood count. In this article, we deliver a fast and easy protocol for reprocessing mouse blood for the purpose of flow cytometric analysis, as well as suitable markers and gating strategies. We also present two possible applications: for the analysis of the whole blood count, with blood from a cardiac puncture, and for the analysis of a certain leukocyte subset at multiple time points in the framework of a mouse experiment, using blood from the facial vein. Additionally, we provide orientation values by applying the method to 3-month-old and 24-month-old male and female C57BL/6J mice. Our analyses demonstrate differences in the leukocyte fractions depending on age and sex. We discuss the influencing factors and limitations that can affect the results and that, therefore, need to be considered when applying this method. The present study fills the gap in the knowledge related to the rare information on flow cytometric analysis of mouse blood and, thus, lays the foundation for further investigations in this area. Full article
(This article belongs to the Special Issue Flow Cytometry in Immunology Research)
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