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Schäfer A, D'Almeida SM, Dorier J, Guex N, Villard J, Garcia M. Comparative assessment of cytometry by time-of-flight and full spectral flow cytometry based on a 33-color antibody panel. J Immunol Methods 2024; 527:113641. [PMID: 38365120 DOI: 10.1016/j.jim.2024.113641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 02/12/2024] [Indexed: 02/18/2024]
Abstract
Mass cytometry and full spectrum flow cytometry have recently emerged as new promising single cell proteomic analysis tools that can be exploited to decipher the extensive diversity of immune cell repertoires and their implication in human diseases. In this study, we evaluated the performance of mass cytometry against full spectrum flow cytometry using an identical 33-color antibody panel on four healthy individuals. Our data revealed an overall high concordance in the quantification of major immune cell populations between the two platforms using a semi-automated clustering approach. We further showed a strong correlation of cluster assignment when comparing manual and automated clustering. Both comparisons revealed minor disagreements in the quantification and assignment of rare cell subpopulations. Our study showed that both single cell proteomic technologies generate highly overlapping results and substantiate that the choice of technology is not a primary factor for successful biological assessment of cell profiles but must be considered in a broader design framework of clinical studies.
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Affiliation(s)
- Antonia Schäfer
- Transplantation Immunology Unit and National Reference Laboratory for Histocompatibility, Geneva University Hospitals, Geneva, Switzerland
| | - Sènan Mickael D'Almeida
- Flow Cytometry Core Facility, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Julien Dorier
- Bioinformatics Competence Center, University of Lausanne, Lausanne, Switzerland; Bioinformatics Competence Center, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Nicolas Guex
- Bioinformatics Competence Center, University of Lausanne, Lausanne, Switzerland; Bioinformatics Competence Center, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Jean Villard
- Transplantation Immunology Unit and National Reference Laboratory for Histocompatibility, Geneva University Hospitals, Geneva, Switzerland.
| | - Miguel Garcia
- Flow Cytometry Core Facility, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
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Zacharias ZR, Houtman JCD. OMIP-099: 31-color spectral flow cytometry panel to investigate the steady-state phenotype of human T cells. Cytometry A 2024; 105:10-15. [PMID: 37814476 PMCID: PMC10842108 DOI: 10.1002/cyto.a.24799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 08/07/2023] [Accepted: 09/18/2023] [Indexed: 10/11/2023]
Abstract
We have developed a 31-color panel to define the steady-state phenotype of T cells in human peripheral blood (Table 1). The panel presented here was optimized using cryopreserved peripheral blood mononuclear cells (PBMC). The markers included in this panel were chosen in order to characterize the steady-state phenotype of T cells and includes markers (CD45RA, CD45RO, CCR7, CD95) to distinguish the main subsets (e.g., naïve, TEM , TCM , TEMRA , TSCM etc.) of CD4, CD8, and γδ T cells. This panel also includes markers for the identification of differentiation status (CD27, CD28), activation/antigen experience status (CD11a, CD49d, CD38, HLA-DR, CD56, and CD39), co-inhibitory marker expression (PD-1, TIM-3), and CD4 T helper subsets (CXCR3, CXCR5, CCR4, CCR6, Foxp3, CD25, and CD127). This optimized panel provides a broad assessment of the steady-state phenotype of human T cells.
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Affiliation(s)
- Zeb R. Zacharias
- Human Immunology Core, Carver College of Medicine, University of Iowa, Iowa City, IA 52242
- Holden Comprehensive Cancer Center, Carver College of Medicine, University of Iowa, Iowa City, IA 52242
| | - Jon C. D. Houtman
- Human Immunology Core, Carver College of Medicine, University of Iowa, Iowa City, IA 52242
- Holden Comprehensive Cancer Center, Carver College of Medicine, University of Iowa, Iowa City, IA 52242
- Department of Microbiology and Immunology, Carver College of Medicine, University of Iowa, Iowa City, IA 52242
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Koladiya A, Davis KL. Advances in Clinical Mass Cytometry. Clin Lab Med 2023; 43:507-519. [PMID: 37481326 DOI: 10.1016/j.cll.2023.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/24/2023]
Abstract
The advent of high-dimensional single-cell technologies has enabled detection of cellular heterogeneity and functional diversity of immune cells during health and disease conditions. Because of its multiplexing capabilities and limited compensation requirements, mass cytometry or cytometry by time of flight (CyTOF) has played a superior role in immune monitoring compared with flow cytometry. Further, it has higher throughput and lower cost compared with other single-cell techniques. Several published articles have utilized CyTOF to identify cellular phenotypes and features associated with disease outcomes. This article introduces CyTOF-based assays to profile immune cell-types, cell-states, and their applications in clinical research.
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Affiliation(s)
- Abhishek Koladiya
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Kara L Davis
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA; Center for Cancer Cell Therapy, Stanford University, Stanford, CA, USA.
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Macková J, Hainz P, Kryštofová J, Roubalová K, Šťastná-Marková M, Vaníková Š, Musil J, Vydra J, Němečková Š. Specific immune response to mRNA vaccines against COVID-19 in patients receiving allogeneic stem cell transplantation for myeloid malignancy was altered by immunosuppressive therapy. Leuk Res 2023; 130:107314. [PMID: 37216792 DOI: 10.1016/j.leukres.2023.107314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 05/11/2023] [Accepted: 05/15/2023] [Indexed: 05/24/2023]
Abstract
BACKGROUND Allogeneic hematopoietic stem cell transplant (allo-HSCT) recipients are at high risk of complications associated with COVID-19 infection due to dysfunction of their immune system. Vaccination can protect from the adverse consequences of COVID-19. However, studies on the efficacy of COVID-19 vaccines in HSCT recipients with insufficient post-HSCT immune reconstitution are still scarce. In our study, we determined how immunosuppressive medication and the reconstitution of the cellular immune system influenced T cell responses specific for the surface glycoprotein of SARS-CoV-2 virus (S antigen) after two doses of mRNA vaccine against COVID-19 in patients with myeloid malignancies treated with HSCT. METHODS Vaccination outcomes were followed in 18 (allo-HSCT) recipients and 8 healthy volunteers. The IgG antibodies against SARS-CoV-2 spike (S) and nucleocapsid (NCP) protein were determined in ELISA and S-specific T cells were detected using a sensitive ELISPOT-IFNγ based on in vitro expansion and restimulation of T cells in pre- and post-vaccination blood samples. Multiparametric flow cytometry analysis of peripheral blood leukocyte differentiation markers was employed for determination of reconstitution of the main subpopulations of T cells and NK cells at month 6 after HSCT. RESULTS S- specific IgG antibody response detected in 72% of the patients was lower than in healthy vaccinees (100%). Vaccine-induced T-cell responses to S1 or S2 antigen were significantly reduced in HSCT recipients, which were treated with corticosteroids in dose 5 mg of prednisone- equivalents or higher during the vaccination period or in preceeding 100 days in comparison with recipients un-affected with corticosteroids. A significant positive correlation was found between the level of anti-SARS-Cov-2 spike protein IgG antibodies and the number of functional S antigen-specific T cells. Further analysis also showed that the specific response to vaccination was significantly influenced by the interval between administration of vaccine and transplantation. Vaccination outcomes were not related to age, sex, type of mRNA vaccine used, basic diagnosis, HLA match between HSC donor and recipient, and blood counts of lymphocytes, neutrophils, and monocytes at the time of vaccination. Multiparametric flow cytometry analysis of peripheral blood leukocyte differentiation markers showed that good humoral and cellular S-specific immune responses induced by vaccination were associated with well-reconstituted CD4+ T cells, mainly CD4+ effector memory subpopulation at six months after HSCT. CONCLUSIONS The results showed that both humoral and cellular adaptive immune responses of HSCT recipients to the SARS-CoV-2 vaccine were significantly suppressed by corticosteroid therapy. Specific response to the vaccine was significantly affected by the length of the interval between HSCT and vaccination. Vaccination as early as 5 months after HSCT can lead to a good response. Immune response to the vaccine is not related to age, gender, HLA match between HSC donor and recipient, or type of myeloid malignancy. Vaccine efficacy was dependent on well-reconstituted CD4+ T cells, at six months after HSCT.
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Affiliation(s)
- Jana Macková
- Department of Immunology, Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Petr Hainz
- Department of Immunology, Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Jitka Kryštofová
- Department of Immunology, Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Kateřina Roubalová
- Department of Immunology, Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Markéta Šťastná-Marková
- Transplant Unit and Hematological Intensive Care Unit, Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Šárka Vaníková
- Department of Immunomonitoring and Flow Cytometry, Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Jan Musil
- Department of Immunomonitoring and Flow Cytometry, Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Jan Vydra
- Transplant Unit and Hematological Intensive Care Unit, Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Šárka Němečková
- Department of Immunology, Institute of Hematology and Blood Transfusion, Prague, Czech Republic.
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Shesternya PA, Savchenko AA, Gritsenko OD, Vasileva AO, Kudryavtsev IV, Masterova AA, Isakov DV, Borisov AG. Features of Peripheral Blood Th-Cell Subset Composition and Serum Cytokine Level in Patients with Activity-Driven Ankylosing Spondylitis. Pharmaceuticals (Basel) 2022; 15:ph15111370. [PMID: 36355542 PMCID: PMC9695783 DOI: 10.3390/ph15111370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 11/01/2022] [Accepted: 11/02/2022] [Indexed: 11/09/2022] Open
Abstract
Th cells may exhibit pathological activity depending on the regulatory and functional signals sensed under a wide range of immunopathological conditions, including ankylosing spondylitis (AS). The relationship between Th cells and cytokines is important for diagnoses and for determining treatment. Accordingly, the aim of this study was to investigate the relationship between Th-cell subset composition and serum cytokine profile for patients with activity-driven AS. In our study, patients were divided into two groups according to disease activity: low-activity AS (ASDAS-CRP < 2.1) and high-activity AS (ASDAS-CRP > 2.1). The peripheral blood Th cell subset composition was studied by flow cytometry. Using multiplex analysis, serum cytokine levels were quantified and investigated. It was found that only patients with high-activity AS had reduced central memory (CM) Th1 cells (p = 0.035) but elevated numbers of CM (p = 0.014) and effector memory (EM) Th2 cells (p < 0.001). However, no activity-driven change in the Th17 cell subset composition was observed in AS patients. Moreover, low-AS activity patients had increased numbers of Tfh17 EM cells (p < 0.001), whereas high-AS activity was associated with elevated Tfh2 EM level (p = 0.031). The serum cytokine profiles in AS patients demonstrated that cues stimulating cellular immunity were increased, but patients with high-AS activity reveled increased IL-5 level (p = 0.017). Analyzing the data obtained from AS patients allowed us to conclude that Th cell subset differentiation was mainly affected during the CM stage and characterized the IL-23/IL-17 regulatory axis, whereas increased humoral immunity was observed in the high-AS activity group.
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Affiliation(s)
- Pavel A. Shesternya
- Prof. V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, Ministry of Healthcare, 660022 Krasnoyarsk, Russia
- Correspondence:
| | - Andrei A. Savchenko
- Prof. V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, Ministry of Healthcare, 660022 Krasnoyarsk, Russia
- Federal Research Center “Krasnoyarsk Science Center”, Siberian Branch of the Russian Academy of Sciences, Scientific Research Institute of Medical Problems of the North, 660022 Krasnoyarsk, Russia
| | - Olga D. Gritsenko
- Prof. V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, Ministry of Healthcare, 660022 Krasnoyarsk, Russia
| | - Alexandra O. Vasileva
- Prof. V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, Ministry of Healthcare, 660022 Krasnoyarsk, Russia
| | | | - Alena A. Masterova
- Federal Research Center “Krasnoyarsk Science Center”, Siberian Branch of the Russian Academy of Sciences, Scientific Research Institute of Medical Problems of the North, 660022 Krasnoyarsk, Russia
| | - Dmitry V. Isakov
- Academician I.P. Pavlov First St. Petersburg State Medical University, Ministry of Healthcare, 197022 St. Peterburg, Russia
| | - Alexandr G. Borisov
- Federal Research Center “Krasnoyarsk Science Center”, Siberian Branch of the Russian Academy of Sciences, Scientific Research Institute of Medical Problems of the North, 660022 Krasnoyarsk, Russia
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Kužílková D, Puñet-Ortiz J, Aui PM, Fernández J, Fišer K, Engel P, van Zelm MC, Kalina T. Standardization of Workflow and Flow Cytometry Panels for Quantitative Expression Profiling of Surface Antigens on Blood Leukocyte Subsets: An HCDM CDMaps Initiative. Front Immunol 2022; 13:827898. [PMID: 35222411 PMCID: PMC8874145 DOI: 10.3389/fimmu.2022.827898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 01/17/2022] [Indexed: 11/13/2022] Open
Abstract
Background The Human Cell Differentiation Molecules (HCDM) organizes Human Leukocyte Differentiation Antigen (HLDA) workshops to test and name clusters of antibodies that react with a specific antigen. These cluster of differentiation (CD) markers have provided the scientific community with validated antibody clones, consistent naming of targets and reproducible identification of leukocyte subsets. Still, quantitative CD marker expression profiles and benchmarking of reagents at the single-cell level are currently lacking. Objective To develop a flow cytometric procedure for quantitative expression profiling of surface antigens on blood leukocyte subsets that is standardized across multiple research laboratories. Methods A high content framework to evaluate the titration and reactivity of Phycoerythrin (PE)-conjugated monoclonal antibodies (mAbs) was created. Two flow cytometry panels were designed: an innate cell tube for granulocytes, dendritic cells, monocytes, NK cells and innate lymphoid cells (12-color) and an adaptive lymphocyte tube for naive and memory B and T cells, including TCRγδ+, regulatory-T and follicular helper T cells (11-color). The potential of these 2 panels was demonstrated via expression profiling of selected CD markers detected by PE-conjugated antibodies and evaluated using 561 nm excitation. Results Using automated data annotation and dried backbone reagents, we reached a robust workflow amenable to processing hundreds of measurements in each experiment in a 96-well plate format. The immunophenotyping panels enabled discrimination of 27 leukocyte subsets and quantitative detection of the expression of PE-conjugated CD markers of interest that could quantify protein expression above 400 units of antibody binding capacity. Expression profiling of 4 selected CD markers (CD11b, CD31, CD38, CD40) showed high reproducibility across centers, as well as the capacity to benchmark unique clones directed toward the same CD3 antigen. Conclusion We optimized a procedure for quantitative expression profiling of surface antigens on blood leukocyte subsets. The workflow, bioinformatics pipeline and optimized flow panels enable the following: 1) mapping the expression patterns of HLDA-approved mAb clones to CD markers; 2) benchmarking new antibody clones to established CD markers; 3) defining new clusters of differentiation in future HLDA workshops.
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Affiliation(s)
- Daniela Kužílková
- Childhood Leukaemia Investigation Prague (CLIP), Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University, Prague, Czech Republic and University Hospital Motol, Prague, Czechia
| | - Joan Puñet-Ortiz
- Department of Biomedical Sciences, University of Barcelona, Barcelona, Spain
| | - Pei M. Aui
- Department of Immunology and Pathology, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Javier Fernández
- Department of Biomedical Sciences, University of Barcelona, Barcelona, Spain
| | - Karel Fišer
- Childhood Leukaemia Investigation Prague (CLIP), Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University, Prague, Czech Republic and University Hospital Motol, Prague, Czechia
| | - Pablo Engel
- Department of Biomedical Sciences, University of Barcelona, Barcelona, Spain
| | - Menno C. van Zelm
- Department of Immunology and Pathology, Central Clinical School, Monash University, Melbourne, VIC, Australia
- Department of Allergy, Immunology and Respiratory Medicine, Central Clinical School, Monash University and Alfred Hospital, Melbourne, VIC, Australia
| | - Tomáš Kalina
- Childhood Leukaemia Investigation Prague (CLIP), Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University, Prague, Czech Republic and University Hospital Motol, Prague, Czechia
- *Correspondence: Tomáš Kalina,
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