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Eremina OE, Vazquez C, Larson KN, Mouchawar A, Fernando A, Zavaleta C. The evolution of immune profiling: will there be a role for nanoparticles? NANOSCALE HORIZONS 2024; 9:1896-1924. [PMID: 39254004 PMCID: PMC11887860 DOI: 10.1039/d4nh00279b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/11/2024]
Abstract
Immune profiling provides insights into the functioning of the immune system, including the distribution, abundance, and activity of immune cells. This understanding is essential for deciphering how the immune system responds to pathogens, vaccines, tumors, and other stimuli. Analyzing diverse immune cell types facilitates the development of personalized medicine approaches by characterizing individual variations in immune responses. With detailed immune profiles, clinicians can tailor treatment strategies to the specific immune status and needs of each patient, maximizing therapeutic efficacy while minimizing adverse effects. In this review, we discuss the evolution of immune profiling, from interrogating bulk cell samples in solution to evaluating the spatially-rich molecular profiles across intact preserved tissue sections. We also review various multiplexed imaging platforms recently developed, based on immunofluorescence and imaging mass spectrometry, and their impact on the field of immune profiling. Identifying and localizing various immune cell types across a patient's sample has already provided important insights into understanding disease progression, the development of novel targeted therapies, and predicting treatment response. We also offer a new perspective by highlighting the unprecedented potential of nanoparticles (NPs) that can open new horizons in immune profiling. NPs are known to provide enhanced detection sensitivity, targeting specificity, biocompatibility, stability, multimodal imaging features, and multiplexing capabilities. Therefore, we summarize the recent developments and advantages of NPs, which can contribute to advancing our understanding of immune function to facilitate precision medicine. Overall, NPs have the potential to offer a versatile and robust approach to profile the immune system with improved efficiency and multiplexed imaging power.
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Affiliation(s)
- Olga E Eremina
- Department of Biomedical Engineering, University of Southern California, Los Angeles, California 90089, USA.
- Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, USA
| | - Celine Vazquez
- Department of Biomedical Engineering, University of Southern California, Los Angeles, California 90089, USA.
- Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, USA
| | - Kimberly N Larson
- Department of Biomedical Engineering, University of Southern California, Los Angeles, California 90089, USA.
- Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, USA
| | - Anthony Mouchawar
- Department of Biomedical Engineering, University of Southern California, Los Angeles, California 90089, USA.
- Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, USA
| | - Augusta Fernando
- Department of Biomedical Engineering, University of Southern California, Los Angeles, California 90089, USA.
- Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, USA
| | - Cristina Zavaleta
- Department of Biomedical Engineering, University of Southern California, Los Angeles, California 90089, USA.
- Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, USA
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Longhini ALF, Fernández-Maestre I, Kennedy MC, Wereski MG, Mowla S, Xiao W, Lowe SW, Levine RL, Gardner R. Development of a customizable mouse backbone spectral flow cytometry panel to delineate immune cell populations in normal and tumor tissues. Front Immunol 2024; 15:1374943. [PMID: 38605953 PMCID: PMC11008467 DOI: 10.3389/fimmu.2024.1374943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 03/13/2024] [Indexed: 04/13/2024] Open
Abstract
Introduction In vivo studies of cancer biology and assessment of therapeutic efficacy are critical to advancing cancer research and ultimately improving patient outcomes. Murine cancer models have proven to be an invaluable tool in pre-clinical studies. In this context, multi-parameter flow cytometry is a powerful method for elucidating the profile of immune cells within the tumor microenvironment and/or play a role in hematological diseases. However, designing an appropriate multi-parameter panel to comprehensively profile the increasing diversity of immune cells across different murine tissues can be extremely challenging. Methods To address this issue, we designed a panel with 13 fixed markers that define the major immune populations -referred to as the backbone panel- that can be profiled in different tissues but with the option to incorporate up to seven additional fluorochromes, including any marker specific to the study in question. Results This backbone panel maintains its resolution across different spectral flow cytometers and organs, both hematopoietic and non-hematopoietic, as well as tumors with complex immune microenvironments. Discussion Having a robust backbone that can be easily customized with pre-validated drop-in fluorochromes saves time and resources and brings consistency and standardization, making it a versatile solution for immuno-oncology researchers. In addition, the approach presented here can serve as a guide to develop similar types of customizable backbone panels for different research questions requiring high-parameter flow cytometry panels.
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Affiliation(s)
- Ana Leda F. Longhini
- Flow Cytometry Core Facility, Memorial Sloan Kettering Cancer Center (MSKCC), New York, NY, United States
| | - Inés Fernández-Maestre
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
- Louis V. Gerstner Jr Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Margaret C. Kennedy
- Louis V. Gerstner Jr Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, United States
- Department of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | | | - Shoron Mowla
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Wenbin Xiao
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, United States
- Department of Pathology and Laboratory Medicine, Hematopathology Service, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Scott W. Lowe
- Department of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, NY, United States
- Howard Hughes Medical Institute, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Ross L. Levine
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, United States
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Rui Gardner
- Flow Cytometry Core Facility, Memorial Sloan Kettering Cancer Center (MSKCC), New York, NY, United States
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