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Musil J, Ptacek A, Vanikova S. OMIP-106: A 30-color panel for analysis of check-point inhibitory networks in the bone marrow of acute myeloid leukemia patients. Cytometry A 2024; 105:729-736. [PMID: 39192598 DOI: 10.1002/cyto.a.24892] [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: 12/11/2023] [Revised: 06/26/2024] [Accepted: 07/22/2024] [Indexed: 08/29/2024]
Abstract
Acute myeloid leukemia (AML) is the most common form of acute leukemia diagnosed in adults. Despite advances in medical care, the treatment of AML still faces many challenges, such as treatment-related toxicities, that limit the use of high-intensity chemotherapy, especially in elderly patients. Currently, various immunotherapeutic approaches, that is, CAR-T cells, BiTEs, and immune checkpoint inhibitors, are being tested in clinical trials to prolong remission and improve the overall survival of AML patients. However, early reports show only limited benefits of these interventions and only in a subset of patients, showing the need for better patient stratification based on immunological markers. We have therefore developed and optimized a 30-color panel for evaluation of effector immune cell (NK cells, γδ T cells, NKT-like T cells, and classical T cells) infiltration into the bone marrow and analysis of their phenotype with regard to their differentiation, expression of inhibitory (PD-1, TIGIT, Tim3, NKG2A) and activating receptors (DNAM-1, NKG2D). We also evaluate the immune evasive phenotype of CD33+ myeloid cells, CD34+CD38-, and CD34+CD38+ hematopoietic stem and progenitor cells by analyzing the expression of inhibitory ligands such as PD-L1, CD112, CD155, and CD200. Our panel can be a valuable tool for patient stratification in clinical trials and can also be used to broaden our understanding of check-point inhibitory networks in AML.
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Affiliation(s)
- Jan Musil
- Department of Immunomonitoring and Flow Cytometry, Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Antonin Ptacek
- Department of Immunomonitoring and Flow Cytometry, Institute of Hematology and Blood Transfusion, Prague, Czech Republic
- Department of Cell Biology, Faculty of Science, Charles University Prague, Prague, Czech Republic
| | - Sarka Vanikova
- Department of Immunomonitoring and Flow Cytometry, Institute of Hematology and Blood Transfusion, Prague, Czech Republic
- Department of Cell Biology, Faculty of Science, Charles University Prague, Prague, Czech Republic
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Huys EHLPG, Hobo W, Preijers FWMB. OMIP - 081: A new 21-monoclonal antibody 10-color panel for diagnostic polychromatic immunophenotyping. Cytometry A 2021; 101:117-121. [PMID: 34719867 DOI: 10.1002/cyto.a.24511] [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: 04/15/2021] [Revised: 10/05/2021] [Accepted: 10/18/2021] [Indexed: 11/06/2022]
Abstract
The 10-color panel consisting of 21 monoclonal antibodies (mAbs) is developed as a one-tube panel to detect leukemia and lymphoma cells in all hematopoietic cell lineages. In particular, this tube is mentioned for a fast screening to identify aberrant cells in samples suspected for malignant cell localization and to enable comprehensive immunophenotyping of samples with low cell counts. The panel contains mAbs for selection of the populations and mAbs against target antigens on the various hematopoietic maturation stages. Due to the limited number of PMTs in most used flow cytometers for clinical purposes, stacking of conjugates in one color is needed to include all relevant markers for simultaneous analysis of the aberrant cells. The 21-mAb panel is tested on peripheral blood (PB), and bone marrow (BM) samples and enables an efficient and correct identification of hematological malignancies. This panel improves the diagnostic potential.
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Affiliation(s)
- Erik H L P G Huys
- Department of Laboratory Medicine, Laboratory for Hematology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Willemijn Hobo
- Department of Laboratory Medicine, Laboratory for Hematology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Frank W M B Preijers
- Department of Laboratory Medicine, Laboratory for Hematology, Radboud University Medical Center, Nijmegen, The Netherlands
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Wang W, Creusot RJ. Orchestrating multiplexity in polychromatic science through OMIPs: A decade-old resource to empower biomedical research. Cytometry A 2021; 99:866-874. [PMID: 34145721 DOI: 10.1002/cyto.a.24471] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Revised: 05/11/2021] [Accepted: 05/31/2021] [Indexed: 01/20/2023]
Abstract
As the optimized multicolor immunofluorescence panel (OMIP) platform entered its 10th anniversary since its launch, the multicolor flow cytometry landscape has changed significantly. Likewise, OMIPs have continuously evolved to cover larger panel sizes, increasing number of subpopulations profiled in a single panel, and new species. After a decade of contributions to the OMIP platform, a review of this collection, summarizing its content and purpose for the research community, is timely and due. This review provides an overview of OMIPs and a presentation of the depth and diversity of this collection of validated panels, with the expectation that readers will take advantage of them to empower and accelerate their research.
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Affiliation(s)
- Wei Wang
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, New York, USA
| | - Remi J Creusot
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, New York, USA
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Rajab A, Axler O, Leung J, Wozniak M, Porwit A. Ten-color 15-antibody flow cytometry panel for immunophenotyping of lymphocyte population. Int J Lab Hematol 2017; 39 Suppl 1:76-85. [DOI: 10.1111/ijlh.12678] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2017] [Accepted: 03/08/2017] [Indexed: 01/13/2023]
Affiliation(s)
- A. Rajab
- Hematology Department; LifeLabs; Toronto ON Canada
| | - O. Axler
- Klinisk patologi, Labmedicin; Medicinsk Service, Region Skåne; Lunds Universitetsjukhus; Lund Sweden
| | - J. Leung
- Flow Cytometry Laboratory; Laboratory Medicine Program; University Health Network; Toronto ON Canada
| | - M. Wozniak
- Hematology Department; LifeLabs; Toronto ON Canada
| | - A. Porwit
- Division for Oncology and Pathology; Department of Clinical Sciences Lund; Faculty of Medicine; Lund University; Lund Sweden
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Stacchini A, Demurtas A, Aliberti S, Barreca A, Novero D, Pacchioni D. Single-Tube Flow Cytometry Assay for the Detection of Mature Lymphoid Neoplasms in Paucicellular Samples. Acta Cytol 2016; 60:385-394. [PMID: 27597993 DOI: 10.1159/000448799] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2016] [Accepted: 08/02/2016] [Indexed: 02/05/2023]
Abstract
OBJECTIVES Flow cytometry (FC) has become a useful support for cytomorphologic evaluation (CM) of fine-needle aspirates (FNA) and serous cavity effusions (SCE) in cases of suspected non-Hodgkin lymphoma (NHL). FC results may be hampered by the scarce viability and low cellularity of the specimens. STUDY DESIGN We developed a single-tube FC assay (STA) that included 10 antibodies cocktailed in 8-color labeling, a cell viability dye, and a logical gating strategy to detect NHL in hypocellular samples. The results were correlated with CM and confirmed by histologic or molecular data when available. RESULTS Using the STA, we detected B-type NHL in 31 out of 103 hypocellular samples (81 FNA and 22 SCE). Of these, 8 were not confirmed by CM and 2 were considered to be only suspicious. The FC-negative samples had a final diagnosis of benign/reactive process (42/72), carcinoma (27/72), or Hodgkin lymphoma (3/72). CONCLUSIONS The STA approach allowed obtainment of maximum immunophenotyping data in specimens containing a low number of cells and a large amount of debris. The information obtained by STA can help cytomorphologists not only to recognize but also to exclude malignant lymphomas.
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Baumgart S, Peddinghaus A, Schulte-Wrede U, Mei HE, Grützkau A. OMIP-034: Comprehensive immune phenotyping of human peripheral leukocytes by mass cytometry for monitoring immunomodulatory therapies. Cytometry A 2016; 91:34-38. [DOI: 10.1002/cyto.a.22894] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Revised: 05/09/2016] [Accepted: 06/01/2016] [Indexed: 12/21/2022]
Affiliation(s)
- Sabine Baumgart
- German Rheumatism Research Center Berlin (DRFZ), a Leibniz Institute; Berlin Germany
| | - Anette Peddinghaus
- German Rheumatism Research Center Berlin (DRFZ), a Leibniz Institute; Berlin Germany
| | - Ursula Schulte-Wrede
- German Rheumatism Research Center Berlin (DRFZ), a Leibniz Institute; Berlin Germany
| | - Henrik E. Mei
- German Rheumatism Research Center Berlin (DRFZ), a Leibniz Institute; Berlin Germany
| | - Andreas Grützkau
- German Rheumatism Research Center Berlin (DRFZ), a Leibniz Institute; Berlin Germany
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Hedley BD, Keeney M, Popma J, Chin-Yee I. Novel lymphocyte screening tube using dried monoclonal antibody reagents. CYTOMETRY PART B-CLINICAL CYTOMETRY 2015; 88:361-70. [PMID: 25944189 DOI: 10.1002/cyto.b.21251] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2014] [Revised: 04/09/2015] [Accepted: 04/27/2015] [Indexed: 11/11/2022]
Abstract
We previously developed a 10-color 11-antibody combination including a viability dye, to screen T-, B-, and natural killer (NK)-cell populations in blood, bone marrow, tissue, and body fluids. Recently, Beckman Coulter has introduced a line of dried reagents that, unlike liquid reagents and cocktails, require no refrigeration, titration, or manipulation before using. We evaluated custom tubes based on our standard lymphocyte screening panel, focusing on comparative analysis, ease of use, and advantages compared with our liquid reagent set. We tested 42 samples from blood (n = 15), bone marrow (n = 17), and tissue (n = 10) with the combination CD4/CD8/KAPPA/LAMBDA/CD19/CD56/CD5/CD20/CD10/CD3/CD45 and a vital dye by both methods and compared positivity and staining intensity for each antigen. Of the 42 samples, 5 were normal samples, 3 were red cell disorders, 20 were B-cell malignancies, 5 T-cell malignancies, 4 myeloid malignancies, and the remaining 5 were other diagnoses. Dried reagents gave equivalent staining intensity results to our standard panel in a variety of sample types, with diagnoses including reactive lymphocytosis, chronic lymphocytic leukemia, and various lymphomas. Our standard panel for evaluation of mature lymphoid malignancies allows rapid assessment of any sample type while providing direct assessment of viability. The dried reagent tube reduces preanalytical work, with simple addition of sample and the viability dye to the tube, saving time, reducing potential errors, and obviating need to titrate and monitor individual antibodies. With a shelf life of at least 12 months, the reagents also offer potential savings in reagent costs by reducing wastage due to expiration or tandem breakdown in standard liquid formulation.
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Affiliation(s)
- Benjamin D Hedley
- Pathology and Laboratory Medicine, Division of Hematology, London Health Sciences Centre, London, Ontario, N6K 5W9, Canada
| | - Michael Keeney
- Pathology and Laboratory Medicine, Division of Hematology, London Health Sciences Centre, London, Ontario, N6K 5W9, Canada
| | - Janice Popma
- Pathology and Laboratory Medicine, Division of Hematology, London Health Sciences Centre, London, Ontario, N6K 5W9, Canada
| | - Ian Chin-Yee
- Department of Medicine, Division of Hematology, London Health Sciences Centre, Schulich School of Medicine Western University of Ontario, London, Ontario, N6K 5W9, Canada
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Rajab A, Porwit A. Screening bone marrow samples for abnormal lymphoid populations and myelodysplasia-related features with one 10-color 14-antibody screening tube. CYTOMETRY PART B-CLINICAL CYTOMETRY 2015; 88:253-60. [PMID: 25664445 DOI: 10.1002/cyto.b.21233] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2014] [Revised: 01/08/2015] [Accepted: 01/30/2015] [Indexed: 12/11/2022]
Abstract
BACKGROUND We have designed one-tube 14-antibody 10-color flow cytometry (FCM) panel that would provide maximum information on lymphoid and myeloid cell subsets in bone marrow aspirates (BMA) from patients with cytopenia(s). SAMPLES AND METHODS BMA from 8 normal donors, from 286 non-malignant hospital controls, 92 myelodysplastic syndromes (MDS), 47 myeloproliferative neoplasms (MPN), and from 14 MDS/MPN patients were investigated. One tube 14-monoclonal antibody (MAb) 10-fluorochrome panel included: kappa+CD4 FITC, Lambda+CD8 PE, CD3 + CD14 ECD, CD34 APC, CD20+CD56 PC7, CD10 APC-A750, CD19 APC-A700, CD33 PC5.5, CD5 PB, and CD45 KO. Kappa/lambda expression was evaluated separately in CD19+, CD10+ and CD5+ B-cells. CD4+CD3+, CD8+CD3+, CD5+CD3+ T-lymphocyte subsets were enumerated. Blasts were evaluated using CD45/SSC and CD34 gating. The FCM score for MDS (sc. Ogata score) included CD34+ myeloblast and B-progenitor cluster size, myeloblast/lymphocyte CD45 expression, and granulocyte/lymphocyte SSC ratio. RESULTS Abnormal lymphoid populations or increased plasma cells were found in 18 patients (4%). A 43/92 BMA from MDS and 7/14 from MDS/MPN patients had score >2. Score >2 had 92.5% positive predictive value for MDS/MDS-MPN diagnosis. Negative predictive value for MDS/MDS-MPN was 83% for scores under 3 and 88% for scores under 2. All but two of normal/hospital control samples had FCM score <3 (99%). Differences in scores between MDS & MDS/MPN and the control groups were statistically significant (P < 0.0001). CONCLUSIONS Our one-tube FCM panel can be easily applied to screening for aberrant lymphoid populations and myelodysplasia-related features. MDS scores >2 are highly indicative of MDS or MDS-MPN.
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Affiliation(s)
- Amr Rajab
- Flow Cytometry Laboratory, Department of Laboratory Hematology, Laboratory Medicine Program, University Health Network, Toronto General Hospital, Toronto, Ontario, Canada
| | - Anna Porwit
- Flow Cytometry Laboratory, Department of Laboratory Hematology, Laboratory Medicine Program, University Health Network, Toronto General Hospital, Toronto, Ontario, Canada
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Bocsi J, Melzer S, Dähnert I, Tárnok A. OMIP-023: 10-Color, 13 antibody panel for in-depth phenotyping of human peripheral blood leukocytes. Cytometry A 2014; 85:781-4. [DOI: 10.1002/cyto.a.22505] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2013] [Revised: 04/03/2014] [Accepted: 06/20/2014] [Indexed: 11/11/2022]
Affiliation(s)
- József Bocsi
- LIFE Leipzig Research Center for Civilization Diseases, Universität Leipzig; Leipzig Germany
- Department of Pediatric Cardiology; Heart Center GmbH, Universität Leipzig; Germany
| | - Susanne Melzer
- LIFE Leipzig Research Center for Civilization Diseases, Universität Leipzig; Leipzig Germany
- Department of Pediatric Cardiology; Heart Center GmbH, Universität Leipzig; Germany
| | - Ingo Dähnert
- Department of Pediatric Cardiology; Heart Center GmbH, Universität Leipzig; Germany
| | - Attila Tárnok
- Department of Pediatric Cardiology; Heart Center GmbH, Universität Leipzig; Germany
- Translational Center for Regenerative Medicine (TRM), Universität Leipzig; Leipzig Germany
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Preijers FWMB, Huys E, Favre C, Moshaver B. Establishment of harmonization in immunophenotyping: A comparative study of a standardized one-tube lymphocyte-screening panel. CYTOMETRY PART B-CLINICAL CYTOMETRY 2014. [DOI: 10.1002/cyto.b.21158] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- F. W. M. B. Preijers
- Department of Laboratory Medicine; Laboratory of Hematology, Radboud University Medical Center; Geert Grooteplein 8 6525 GA Nijmegen The Netherlands
| | - E. Huys
- Department of Laboratory Medicine; Laboratory of Hematology, Radboud University Medical Center; Geert Grooteplein 8 6525 GA Nijmegen The Netherlands
| | - C. Favre
- Research and Development; Beckman Coulter; 130 Avenue de Lattre de Tassigny Marseille 13009 France
| | - B. Moshaver
- Department of Laboratory Medicine; Laboratory of Hematology, Radboud University Medical Center; Geert Grooteplein 8 6525 GA Nijmegen The Netherlands
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Sack U, Tárnok A. Harmonization of cytometry instrumentation and technologies. Cytometry A 2013; 83:1055-6. [DOI: 10.1002/cyto.a.22415] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2013] [Accepted: 10/28/2013] [Indexed: 11/12/2022]
Affiliation(s)
- Ulrich Sack
- Institute for Clinical Immunology; Medical Faculty, University of Leipzig; Leipzig Germany
- Translational Centre for Regenerative Medicine (TRM); University of Leipzig; Leipzig Germany
| | - Attila Tárnok
- Translational Centre for Regenerative Medicine (TRM); University of Leipzig; Leipzig Germany
- Department of Pediatric Cardiology; Heart Centre Leipzig; Germany
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Gaipa G, Basso G, Biondi A, Campana D. Detection of minimal residual disease in pediatric acute lymphoblastic leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2013; 84:359-69. [DOI: 10.1002/cyto.b.21101] [Citation(s) in RCA: 74] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2012] [Revised: 04/02/2013] [Accepted: 03/23/2013] [Indexed: 01/22/2023]
Affiliation(s)
- Giuseppe Gaipa
- M. Tettamanti Research Center, Pediatric Clinic University of Milano Bicocca; Monza Italy
| | - Giuseppe Basso
- Laboratorio di Oncoematologia Pediatrica, Department of Pediatrics, University of Padova; Padova Italy
| | - Andrea Biondi
- M. Tettamanti Research Center, Pediatric Clinic University of Milano Bicocca; Monza Italy
| | - Dario Campana
- Department of Pediatrics; National University of Singapore; Singapore
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Donnenberg VS, Ulrich H, Tárnok A. Cytometry in stem cell research and therapy. Cytometry A 2013; 83:1-4. [PMID: 23281001 DOI: 10.1002/cyto.a.22243] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2012] [Accepted: 11/21/2012] [Indexed: 12/12/2022]
Affiliation(s)
- Vera S Donnenberg
- Department of Cardiothoracic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania; McGowan Institute of Regenerative Medicine, Pittsburgh, Pennsylvania
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Aghaeepour N, Jalali A, O’Neill K, Chattopadhyay PK, Roederer M, Hoos HH, Brinkman RR. RchyOptimyx: cellular hierarchy optimization for flow cytometry. Cytometry A 2012; 81:1022-30. [PMID: 23044634 PMCID: PMC3726344 DOI: 10.1002/cyto.a.22209] [Citation(s) in RCA: 51] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2012] [Revised: 08/07/2012] [Accepted: 09/05/2012] [Indexed: 12/19/2022]
Abstract
Analysis of high-dimensional flow cytometry datasets can reveal novel cell populations with poorly understood biology. Following discovery, characterization of these populations in terms of the critical markers involved is an important step, as this can help to both better understand the biology of these populations and aid in designing simpler marker panels to identify them on simpler instruments and with fewer reagents (i.e., in resource poor or highly regulated clinical settings). However, current tools to design panels based on the biological characteristics of the target cell populations work exclusively based on technical parameters (e.g., instrument configurations, spectral overlap, and reagent availability). To address this shortcoming, we developed RchyOptimyx (cellular hieraRCHY OPTIMization), a computational tool that constructs cellular hierarchies by combining automated gating with dynamic programming and graph theory to provide the best gating strategies to identify a target population to a desired level of purity or correlation with a clinical outcome, using the simplest possible marker panels. RchyOptimyx can assess and graphically present the trade-offs between marker choice and population specificity in high-dimensional flow or mass cytometry datasets. We present three proof-of-concept use cases for RchyOptimyx that involve 1) designing a panel of surface markers for identification of rare populations that are primarily characterized using their intracellular signature; 2) simplifying the gating strategy for identification of a target cell population; 3) identification of a non-redundant marker set to identify a target cell population.
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Affiliation(s)
- Nima Aghaeepour
- Terry Fox Laboratory, British Columbia Cancer Agency, Vancouver, British Columbia, Canada
| | - Adrin Jalali
- Terry Fox Laboratory, British Columbia Cancer Agency, Vancouver, British Columbia, Canada
| | - Kieran O’Neill
- Terry Fox Laboratory, British Columbia Cancer Agency, Vancouver, British Columbia, Canada
| | | | - Mario Roederer
- Vaccine Research Center, National Institute of Health, Bethesda, Massachusetts
| | - Holger H. Hoos
- Department of Computer Science, University of British Columbia, British Columbia, Canada
| | - Ryan R. Brinkman
- Terry Fox Laboratory, British Columbia Cancer Agency, Vancouver, British Columbia, Canada
- Department of Medical Genetics, University of British Columbia, British Columbia, Canada
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