1
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Zhang L. From imprecise "immune debt" to nuanced "immune shortage"? Infect Dis Now 2024; 54:104894. [PMID: 38548017 DOI: 10.1016/j.idnow.2024.104894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Accepted: 03/25/2024] [Indexed: 04/01/2024]
Affiliation(s)
- Luwen Zhang
- School of Biological Sciences, Nebraska Center for Virology, University of Nebraska, Lincoln, NE 68583, USA.
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2
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Chen HC, Ma Y, Cheng J, Chen YC. Advances in Single-Cell Techniques for Linking Phenotypes to Genotypes. CANCER HETEROGENEITY AND PLASTICITY 2024; 1:0004. [PMID: 39156821 PMCID: PMC11328949 DOI: 10.47248/chp2401010004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/20/2024]
Abstract
Single-cell analysis has become an essential tool in modern biological research, providing unprecedented insights into cellular behavior and heterogeneity. By examining individual cells, this approach surpasses conventional population-based methods, revealing critical variations in cellular states, responses to environmental cues, and molecular signatures. In the context of cancer, with its diverse cell populations, single-cell analysis is critical for investigating tumor evolution, metastasis, and therapy resistance. Understanding the phenotype-genotype relationship at the single-cell level is crucial for deciphering the molecular mechanisms driving tumor development and progression. This review highlights innovative strategies for selective cell isolation based on desired phenotypes, including robotic aspiration, laser detachment, microraft arrays, optical traps, and droplet-based microfluidic systems. These advanced tools facilitate high-throughput single-cell phenotypic analysis and sorting, enabling the identification and characterization of specific cell subsets, thereby advancing therapeutic innovations in cancer and other diseases.
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Affiliation(s)
- Hsiao-Chun Chen
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
| | - Yushu Ma
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
| | - Jinxiong Cheng
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3700 O'Hara Street, Pittsburgh, PA 15260, USA
| | - Yu-Chih Chen
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3700 O'Hara Street, Pittsburgh, PA 15260, USA
- CMU-Pitt Ph.D. Program in Computational Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
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3
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Balan D, Kampan NC, Plebanski M, Abd Aziz NH. Unlocking ovarian cancer heterogeneity: advancing immunotherapy through single-cell transcriptomics. Front Oncol 2024; 14:1388663. [PMID: 38873253 PMCID: PMC11169633 DOI: 10.3389/fonc.2024.1388663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 05/15/2024] [Indexed: 06/15/2024] Open
Abstract
Ovarian cancer, a highly fatal gynecological cancer, warrants the need for understanding its heterogeneity. The disease's prevalence and impact are underscored with statistics on mortality rates. Ovarian cancer is categorized into distinct morphological groups, each with its characteristics and prognosis. Despite standard treatments, survival rates remain low due to relapses and chemoresistance. Immune system involvement is evident in ovarian cancer's progression, although the tumor employs immune evasion mechanisms. Immunotherapy, particularly immune checkpoint blockade therapy, is promising, but ovarian cancer's heterogeneity limits its efficacy. Single-cell sequencing technology could be explored as a solution to dissect the heterogeneity within tumor-associated immune cell populations and tumor microenvironments. This cutting-edge technology has the potential to enhance diagnosis, prognosis, and personalized immunotherapy in ovarian cancer, reflecting its broader application in cancer research. The present review focuses on recent advancements and the challenges in applying single-cell transcriptomics to ovarian cancer.
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Affiliation(s)
- Dharvind Balan
- Department of Obstetrics and Gynaecology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Nirmala Chandralega Kampan
- Department of Obstetrics and Gynaecology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Magdalena Plebanski
- School of Health and Biomedical Sciences, RMIT University, Bundoora, VIC, Australia
| | - Nor Haslinda Abd Aziz
- Department of Obstetrics and Gynaecology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
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4
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Huynh DC, Nguyen MP, Ngo DT, Nguyen XH, Nguyen DT, Mai TH, Le TH, Hoang MD, Le KL, Nguyen KQ, Nguyen VH, Kelley KW. A comprehensive analysis of the immune system in healthy Vietnamese people. Heliyon 2024; 10:e30647. [PMID: 38765090 PMCID: PMC11101793 DOI: 10.1016/j.heliyon.2024.e30647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 04/21/2024] [Accepted: 05/01/2024] [Indexed: 05/21/2024] Open
Abstract
Lifestyle, diet, socioeconomic status and genetics all contribute to heterogeneity in immune responses. Vietnam is plagued with a variety of health problems, but there are no available data on immune system values in the Vietnamese population. This study aimed to establish reference intervals for immune cell parameters specific to the healthy Vietnamese population by utilizing multi-color flow cytometry (MCFC). We provide a comprehensive analysis of total leukocyte count, quantitative and qualitative shifts within lymphocyte subsets, serum and cytokine and chemokine levels and functional attributes of key immune cells including B cells, T cells, natural killer (NK) cells and their respective subpopulations. By establishing these reference values for the Vietnamese population, these data contribute significantly to our understanding of the human immune system variations across diverse populations. These data will be of substantial comparative value and be instrumental in developing personalized medical approaches and optimizing diagnostic strategies for individuals based on their unique immune profiles.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Keith W Kelley
- University of Illinois at Urbana-Champaign, Urbana, IL, USA
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5
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Bridges K, Pizzurro GA, Khunte M, Chen M, Salvador Rocha E, Alexander AF, Bass V, Kellman LN, Baskaran J, Miller-Jensen K. Single-Cell Analysis Reveals a Subset of High IL-12p40-Secreting Dendritic Cells within Mouse Bone Marrow-Derived Macrophages Differentiated with M-CSF. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2024; 212:1357-1365. [PMID: 38416039 DOI: 10.4049/jimmunol.2300431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 02/01/2024] [Indexed: 02/29/2024]
Abstract
Macrophages and dendritic cells (DCs), although ontogenetically distinct, have overlapping functions and exhibit substantial cell-to-cell heterogeneity that can complicate their identification and obscure innate immune function. In this study, we report that M-CSF-differentiated murine bone marrow-derived macrophages (BMDMs) exhibit extreme heterogeneity in the production of IL-12, a key proinflammatory cytokine linking innate and adaptive immunity. A microwell secretion assay revealed that a small fraction of BMDMs stimulated with LPS secrete most IL-12p40, and we confirmed that this is due to extremely high expression of Il12b, the gene encoding IL-12p40, in a subset of cells. Using an Il12b-YFP reporter mouse, we isolated cells with high LPS-induced Il12b expression and found that this subset was enriched for genes associated with the DC lineage. Single-cell RNA sequencing data confirmed a DC-like subset that differentiates within BMDM cultures that is transcriptionally distinct but could not be isolated by surface marker expression. Although not readily apparent in the resting state, upon LPS stimulation, this subset exhibited a typical DC-associated activation program that is distinct from LPS-induced stochastic BMDM cell-to-cell heterogeneity. Overall, our findings underscore the difficulty in distinguishing macrophages and DCs even in widely used in vitro murine BMDM cultures and could affect the interpretation of some studies that use BMDMs to explore acute inflammatory responses.
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Affiliation(s)
- Kate Bridges
- Department of Biomedical Engineering, Yale University, New Haven, CT
| | | | - Mihir Khunte
- Department of Biomedical Engineering, Yale University, New Haven, CT
| | - Meibin Chen
- Department of Biomedical Engineering, Yale University, New Haven, CT
| | | | | | - Victor Bass
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT
| | - Laura N Kellman
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT
| | - Janani Baskaran
- Department of Biomedical Engineering, Yale University, New Haven, CT
| | - Kathryn Miller-Jensen
- Department of Biomedical Engineering, Yale University, New Haven, CT
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT
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6
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Cui C, Tang X, Xing J, Sheng X, Chi H, Zhan W. Single-cell RNA-seq revealed heterogeneous responses and functional differentiation of hemocytes against white spot syndrome virus infection in Litopenaeus vannamei. J Virol 2024; 98:e0180523. [PMID: 38323810 PMCID: PMC10949519 DOI: 10.1128/jvi.01805-23] [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: 11/17/2023] [Accepted: 01/12/2024] [Indexed: 02/08/2024] Open
Abstract
Shrimp hemocytes are the vital immune cells participating in innate immune response to defend against viruses. However, the lack of specific molecular markers for shrimp hemocyte hindered the insightful understanding of their functional clusters and differential roles in combating microbial infections. In this study, we used single-cell RNA sequencing to map the transcriptomic landscape of hemocytes from the white spot syndrome virus (WSSV)-infected Litopenaeus vannamei and conjointly analyzed with our previous published single-cell RNA sequencing technology data from the healthy hemocytes. A total of 16 transcriptionally distinct cell clusters were identified, which occupied different proportions in healthy and WSSV-infected hemocytes and exerted differential roles in antiviral immune response. Following mapping of the sequencing data to the WSSV genome, we found that all types of hemocytes could be invaded by WSSV virions, especially the cluster 8, which showed the highest transcriptional levels of WSSV genes and exhibited a cell type-specific antiviral response to the viral infection. Further evaluation of the cell clusters revealed the delicate dynamic balance between hemocyte immune response and viral infestation. Unsupervised pseudo-time analysis of hemocytes showed that the hemocytes in immune-resting state could be significantly activated upon WSSV infection and then functionally differentiated to different hemocyte subsets. Collectively, our results revealed the differential responses of shrimp hemocytes and the process of immune-functional differentiation post-WSSV infection, providing essential resource for the systematic insight into the synergistic immune response mechanism against viral infection among hemocyte subtypes. IMPORTANCE Current knowledge of shrimp hemocyte classification mainly comes from morphology, which hinder in-depth characterization of cell lineage development, functional differentiation, and different immune response of hemocyte types during pathogenic infections. Here, single-cell RNA sequencing was used for mapping hemocytes during white spot syndrome virus (WSSV) infection in Litopenaeus vannamei, identifying 16 cell clusters and evaluating their potential antiviral functional characteristics. We have described the dynamic balance between viral infestation and hemocyte immunity. And the functional differentiation of hemocytes under WSSV stimulation was further characterized. Our results provided a comprehensive transcriptional landscape and revealed the heterogeneous immune response in shrimp hemocytes during WSSV infection.
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Affiliation(s)
- Chuang Cui
- Laboratory of Pathology and Immunology of Aquatic Animals, KLMME, Ocean University of China, Qingdao, China
| | - Xiaoqian Tang
- Laboratory of Pathology and Immunology of Aquatic Animals, KLMME, Ocean University of China, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Jing Xing
- Laboratory of Pathology and Immunology of Aquatic Animals, KLMME, Ocean University of China, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Xiuzhen Sheng
- Laboratory of Pathology and Immunology of Aquatic Animals, KLMME, Ocean University of China, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Heng Chi
- Laboratory of Pathology and Immunology of Aquatic Animals, KLMME, Ocean University of China, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Wenbin Zhan
- Laboratory of Pathology and Immunology of Aquatic Animals, KLMME, Ocean University of China, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
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7
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Perumalsamy H, Xiao X, Kim HY, Yoon TH. scRNA-seq analysis discovered suppression of immunomodulatory dependent inflammatory response in PMBCs exposed to silver nanoparticles. J Nanobiotechnology 2024; 22:118. [PMID: 38494495 PMCID: PMC10946150 DOI: 10.1186/s12951-024-02364-0] [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: 12/04/2023] [Accepted: 02/21/2024] [Indexed: 03/19/2024] Open
Abstract
The assessment of AgNPs toxicity in vitro and in vivo models are frequently conflicting and inaccurate. Nevertheless, single cell immunological responses in a heterogenous environment have received little attention. Therefore, in this study, we have performed in-depth analysis which clearly revealed cellular-metal ion association as well as specific immunological response. Our study didn't show significant population differences in PMBC between control and AgNPs group implying no toxicological response. To confirm it further, deep profiling identified differences in subsets and differentially expressed genes (DEGs) of monocytes, B cells and T cells. Notably, monocyte subsets showed significant upregulation of metallothionein (MT) gene expression such as MT1G, MT1X, MT1E, MT1A, and MT1F. On the other hand, downregulation of pro-inflammatory genes such as IL1β and CCL3 in both CD16 + and CD16- monocyte subsets were observed. This result indicated that AgNPs association with monocyte subsets de-promoted inflammatory responsive genes suggesting no significant toxicity observed in AgNPs treated group. Other cell types such as B cells and T cells also showed negligible differences in their subsets suggesting no toxicity response. Further, AgNPs treated group showed upregulation of cell proliferation, ribosomal synthesis, downregulation of cytokine release, and T cell differentiation inhibition. Overall, our results conclude that treatment of AgNPs to PMBC cells didn't display immunological related cytotoxicity response and thus motivate researchers to use them actively for biomedical applications.
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Affiliation(s)
- Haribalan Perumalsamy
- Center for Creative Convergence Education, Hanyang University, Seoul, 04763, Republic of Korea
- Institute of Next Generation Material Design, Hanyang University, Seoul, 04763, Republic of Korea
- Department of Chemistry, College of Natural Sciences, Hanyang University, Seoul, 04763, Republic of Korea
- Research Institute for Convergence of Basic Science, Hanyang University, Seoul, 04763, Republic of Korea
| | - Xiao Xiao
- Department of Chemistry, College of Natural Sciences, Hanyang University, Seoul, 04763, Republic of Korea
| | - Hyun-Yi Kim
- NGeneS Inc, 362, Gwangdeok 1-ro, Sangnok-gu, Ansan-si, Gyeonggi-do, 15495, Republic of Korea
| | - Tae-Hyun Yoon
- Institute of Next Generation Material Design, Hanyang University, Seoul, 04763, Republic of Korea.
- Department of Chemistry, College of Natural Sciences, Hanyang University, Seoul, 04763, Republic of Korea.
- Department of Medical and Digital Engineering, Hanyang University, Seoul, 04763, Republic of Korea.
- Research Institute for Convergence of Basic Science, Hanyang University, Seoul, 04763, Republic of Korea.
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8
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Labib M, Wang Z, Kim Y, Lin S, Abdrabou A, Yousefi H, Lo PY, Angers S, Sargent EH, Kelley SO. Identification of druggable regulators of cell secretion via a kinome-wide screen and high-throughput immunomagnetic cell sorting. Nat Biomed Eng 2024; 8:263-277. [PMID: 38012306 DOI: 10.1038/s41551-023-01135-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 10/16/2023] [Indexed: 11/29/2023]
Abstract
The identification of genetic regulators of cell secretions is challenging because it requires the sorting of a large number of cells according to their secretion patterns. Here we report the development and applicability of a high-throughput microfluidic method for the analysis of the secretion levels of large populations of immune cells. The method is linked with a kinome-wide loss-of-function CRISPR screen, immunomagnetically sorting the cells according to their secretion levels, and the sequencing of their genomes to identify key genetic modifiers of cell secretion. We used the method, which we validated against flow cytometry for cytokines secreted from primary mouse CD4+ (cluster of differentiation 4-positive) T cells, to discover a subgroup of highly co-expressed kinase-coding genes that regulate interferon-gamma secretion by these cells. We validated the function of the kinases identified using RNA interference, CRISPR knockouts and kinase inhibitors and confirmed the druggability of selected kinases via the administration of a kinase inhibitor in an animal model of colitis. The technique may facilitate the discovery of regulatory mechanisms for immune-cell activation and of therapeutic targets for autoimmune diseases.
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Affiliation(s)
- Mahmoud Labib
- Peninsula Medical School, Faculty of Health, University of Plymouth, Plymouth, UK
- Department of Chemistry, Northwestern University, Evanston, IL, USA
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Zongjie Wang
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA
| | - Yunhye Kim
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Sichun Lin
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Abdalla Abdrabou
- Robert H. Laurie Comprehensive Cancer Center, Northwestern University, Chicago, IL, USA
| | - Hanie Yousefi
- Department of Chemistry, Northwestern University, Evanston, IL, USA
| | - Pei-Ying Lo
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA
| | - Stéphane Angers
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada
- Department of Biochemistry, University of Toronto, Toronto, Ontario, Canada
- Donnelly Centre for Cellular and Biomolecular Research, Toronto, Ontario, Canada
| | - Edward H Sargent
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA
- Department of Electrical & Computer Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Shana O Kelley
- Department of Chemistry, Northwestern University, Evanston, IL, USA.
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada.
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA.
- Robert H. Laurie Comprehensive Cancer Center, Northwestern University, Chicago, IL, USA.
- Department of Biochemistry, University of Toronto, Toronto, Ontario, Canada.
- Donnelly Centre for Cellular and Biomolecular Research, Toronto, Ontario, Canada.
- Institute for Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.
- Chan Zuckerberg Biohub Chicago, Chicago, IL, USA.
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9
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Yeh M, Salazar-Cavazos E, Krishnan A, Altan-Bonnet G, DeVoe DL. Probing T-cell activation in nanoliter tumor co-cultures using membrane displacement trap arrays. Integr Biol (Camb) 2024; 16:zyae014. [PMID: 39074471 PMCID: PMC11286267 DOI: 10.1093/intbio/zyae014] [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: 01/31/2024] [Revised: 06/26/2024] [Accepted: 07/18/2024] [Indexed: 07/31/2024]
Abstract
Immune responses against cancer are inherently stochastic, with small numbers of individual T cells within a larger ensemble of lymphocytes initiating the molecular cascades that lead to tumor cytotoxicity. A potential source of this intra-tumor variability is the differential ability of immune cells to respond to tumor cells. Classical microwell co-cultures of T cells and tumor cells are inadequate for reliably culturing and analyzing low cell numbers needed to probe this variability, and have failed in recapitulating the heterogeneous small domains observed in tumors. Here we leverage a membrane displacement trap array technology that overcomes limitations of conventional microwell plates for immunodynamic studies. The microfluidic platform supports on-demand formation of dense nanowell cultures under continuous perfusion reflecting the tumor microenvironment, with real-time monitoring of T cell proliferation and activation within each nanowell. The system enables selective ejection of cells for profiling by fluorescence activated cell sorting, allowing observed on-chip variability in immune response to be correlated with off-chip quantification of T cell activation. The technology offers new potential for probing the molecular origins of T cell heterogeneity and identifying specific cell phenotypes responsible for initiating and propagating immune cascades within tumors. Insight Box Variability in T cell activation plays a critical role in the immune response against cancer. New tools are needed to unravel the mechanisms that drive successful anti-tumor immune response, and to support the development of novel immunotherapies utilizing rare T cell phenotypes that promote effective immune surveillance. To this end, we present a microfluidic cell culture platform capable of probing differential T cell activation in an array of nanoliter-scale wells coupled with off-chip cell analysis, enabling a high resolution view of variable immune response within tumor / T cell co-cultures containing cell ensembles orders of magnitude smaller than conventional well plate studies.
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Affiliation(s)
- Michael Yeh
- Department of Mechanical Engineering, University of Maryland, College Park, MD 20742, United States
- Fischell Institute for Biomedical Devices, University of Maryland, College Park, MD 20742, United States
- National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, United States
| | | | - Anagha Krishnan
- National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, United States
| | - Grégoire Altan-Bonnet
- National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, United States
| | - Don L DeVoe
- Department of Mechanical Engineering, University of Maryland, College Park, MD 20742, United States
- Fischell Institute for Biomedical Devices, University of Maryland, College Park, MD 20742, United States
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10
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Song Y, Tian C, Lee Y, Yoon M, Yoon SE, Cho SY. Nanosensor Chemical Cytometry: Advances and Opportunities in Cellular Therapy and Precision Medicine. ACS MEASUREMENT SCIENCE AU 2023; 3:393-403. [PMID: 38145025 PMCID: PMC10740128 DOI: 10.1021/acsmeasuresciau.3c00038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 10/13/2023] [Accepted: 10/16/2023] [Indexed: 12/26/2023]
Abstract
With the definition of therapeutics now encompassing transplanted or engineered cells and their molecular products, there is a growing scientific necessity for analytics to understand this new category of drugs. This Perspective highlights the recent development of new measurement science on label-free single cell analysis, nanosensor chemical cytometry (NCC), and their potential for cellular therapeutics and precision medicine. NCC is based on microfluidics integrated with fluorescent nanosensor arrays utilizing the optical lensing effect of a single cell to real-time extract molecular properties and correlate them with physical attributes of single cells. This new class of cytometry can quantify the heterogeneity of the multivariate physicochemical attributes of the cell populations in a completely label-free and nondestructive way and, thus, suggest the vein-to-vein conditions for the safe therapeutic applications. After the introduction of the NCC technology, we suggest the technological development roadmap for the maturation of the new field: from the sensor/chip design perspective to the system/software development level based on hardware automation and deep learning data analytics. The advancement of this new single cell sensing technology is anticipated to aid rich and multivariate single cell data setting and support safe and reliable cellular therapeutics. This new measurement science can lead to data-driven personalized precision medicine.
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Affiliation(s)
- Youngho Song
- School
of Chemical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Changyu Tian
- School
of Chemical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Yullim Lee
- School
of Chemical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Minyeong Yoon
- School
of Chemical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Sang Eun Yoon
- Division
of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea
| | - Soo-Yeon Cho
- School
of Chemical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
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11
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Zhou M, Ma Y, Rock EC, Chiang CC, Luker KE, Luker GD, Chen YC. Microfluidic single-cell migration chip reveals insights into the impact of extracellular matrices on cell movement. LAB ON A CHIP 2023; 23:4619-4635. [PMID: 37750357 PMCID: PMC10615797 DOI: 10.1039/d3lc00651d] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
Cell migration is a complex process that plays a crucial role in normal physiology and pathologies such as cancer, autoimmune diseases, and mental disorders. Conventional cell migration assays face limitations in tracking a large number of individual migrating cells. To address this challenge, we have developed a high-throughput microfluidic cell migration chip, which seamlessly integrates robotic liquid handling and computer vision to swiftly monitor the movement of 3200 individual cells, providing unparalleled single-cell resolution for discerning distinct behaviors of the fast-moving cell population. This study focuses on the ECM's role in regulating cellular migration, utilizing this cutting-edge microfluidic technology to investigate the impact of ten different ECMs on triple-negative breast cancer cell lines. We found that collagen IV, collagen III, and collagen I coatings were the top enhancers of cell movement. Combining these ECMs increased cell motility, but the effect was sub-additive. Furthermore, we examined 87 compounds and found that while some compounds inhibited migration on all substrates, significantly distinct effects on differently coated substrates were observed, underscoring the importance of considering ECM coating. We also utilized cells expressing a fluorescent actin reporter and observed distinct actin structures in ECM-interacting cells. ScRNA-Seq analysis revealed that ECM coatings induced EMT and enhanced cell migration. Finally, we identified genes that were particularly up-regulated by collagen IV and the selective inhibitors successfully blocked cell migration on collagen IV. Overall, the study provides insights into the impact of various ECMs on cell migration and dynamics of cell movement with implications for developing therapeutic strategies to combat diseases related to cell motility.
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Affiliation(s)
- Mengli Zhou
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA.
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
- Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
| | - Yushu Ma
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA.
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
| | - Edwin C Rock
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3700 O'Hara Street, Pittsburgh, PA 15260, USA
| | - Chun-Cheng Chiang
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA.
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
| | - Kathryn E Luker
- Center for Molecular Imaging, Department of Radiology, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI 48109-2200, USA
| | - Gary D Luker
- Center for Molecular Imaging, Department of Radiology, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI 48109-2200, USA
- Department of Microbiology and Immunology, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI 48109-2200, USA
- Department of Biomedical Engineering, University of Michigan, 2200 Bonisteel, Blvd., Ann Arbor, MI 48109-2099, USA
| | - Yu-Chih Chen
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA.
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3700 O'Hara Street, Pittsburgh, PA 15260, USA
- CMU-Pitt Ph.D. Program in Computational Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
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12
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Nedwed AS, Helbich SS, Braband KL, Volkmar M, Delacher M, Marini F. Using combined single-cell gene expression, TCR sequencing and cell surface protein barcoding to characterize and track CD4+ T cell clones from murine tissues. Front Immunol 2023; 14:1241283. [PMID: 37901204 PMCID: PMC10602882 DOI: 10.3389/fimmu.2023.1241283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 08/31/2023] [Indexed: 10/31/2023] Open
Abstract
Single-cell gene expression analysis using sequencing (scRNA-seq) has gained increased attention in the past decades for studying cellular transcriptional programs and their heterogeneity in an unbiased manner, and novel protocols allow the simultaneous measurement of gene expression, T-cell receptor clonality and cell surface protein expression. In this article, we describe the methods to isolate scRNA/TCR-seq-compatible CD4+ T cells from murine tissues, such as skin, spleen, and lymph nodes. We describe the processing of cells and quality control parameters during library preparation, protocols for multiplexing of samples, and strategies for sequencing. Moreover, we describe a step-by-step bioinformatic analysis pipeline from sequencing data generated using these protocols. This includes quality control, preprocessing of sequencing data and demultiplexing of individual samples. We perform quantification of gene expression and extraction of T-cell receptor alpha and beta chain sequences, followed by quality control and doublet detection, and methods for harmonization and integration of datasets. Next, we describe the identification of highly variable genes and dimensionality reduction, clustering and pseudotemporal ordering of data, and we demonstrate how to visualize the results with interactive and reproducible dashboards. We will combine different analytic R-based frameworks such as Bioconductor and Seurat, illustrating how these can be interoperable to optimally analyze scRNA/TCR-seq data of CD4+ T cells from murine tissues.
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Affiliation(s)
- Annekathrin Silvia Nedwed
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center Mainz, Mainz, Germany
| | - Sara Salome Helbich
- Institute of Immunology, University Medical Center Mainz, Mainz, Germany
- Research Center for Immunotherapy, University Medical Center Mainz, Mainz, Germany
| | - Kathrin Luise Braband
- Institute of Immunology, University Medical Center Mainz, Mainz, Germany
- Research Center for Immunotherapy, University Medical Center Mainz, Mainz, Germany
| | - Michael Volkmar
- Helmholtz-Institute for Translational Oncology Mainz (HI-TRON Mainz), Mainz, Germany
| | - Michael Delacher
- Institute of Immunology, University Medical Center Mainz, Mainz, Germany
- Research Center for Immunotherapy, University Medical Center Mainz, Mainz, Germany
| | - Federico Marini
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center Mainz, Mainz, Germany
- Research Center for Immunotherapy, University Medical Center Mainz, Mainz, Germany
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13
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Li Y, Wang B, Ahmad Khan Z, He J, Cheung E, Su W, Wang A, Jiang H, Jiang L, Ding X. Platinum-Chimeric Carrier Cells for Ultratrace Cell Analysis in Mass Cytometry. Anal Chem 2023; 95:14998-15007. [PMID: 37767956 DOI: 10.1021/acs.analchem.3c02706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/29/2023]
Abstract
Mass cytometry by time-of-flight (CyTOF), a high-dimensional single-cell analysis platform, detects up to 50 biomarkers at single-cell resolution. However, CyTOF analysis of biological samples with a minimal number of available cells or rare cell subsets remains a major technical challenge due to the extensive loss of cells during cell recovery, staining, and acquisition. Here, we introduce a platinum-chimeric carrier cell strategy for mass cytometry profiling of ultratrace cell samples. Cisplatin can rapidly enter broken plasma membranes of dead cells and form a chimeric interaction with cellular proteins, peptides, and amino acids. Thus, 198Pt-cisplatin is adopted to tag carrier cells in the pretreatment stage. We investigated 8 cell lines that are commonly accessible in laboratories for their potential as carrier cells to preserve rare target cells for CyTOF analysis. We designed a panel of 35 protein biomarkers to evaluate the comprehensive single-cell subtype classification capability with or without the carrier cell strategy. We further demonstrated the detection and analysis of as few as 1 × 104 immune cells using our method. The proposed method thus allows CyTOF analysis on precious clinical samples with less abundant cells.
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Affiliation(s)
- Yiyang Li
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Boqian Wang
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Zara Ahmad Khan
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Jie He
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Edwin Cheung
- Cancer Centre, University of Macau, Taipa 999078, Macau SAR
- Centre for Precision Medicine Research and Training, University of Macau, Taipa 999078, Macau SAR
- MoE Frontiers Science Center for Precision Oncology, University of Macau, Taipa 999078, Macau SAR
- Faculty of Health Sciences, University of Macau, Taipa 999078, Macau SAR
| | - Wenqiong Su
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Aiting Wang
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Hui Jiang
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Lai Jiang
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Xianting Ding
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
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14
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Muslimov A, Tereshchenko V, Shevyrev D, Rogova A, Lepik K, Reshetnikov V, Ivanov R. The Dual Role of the Innate Immune System in the Effectiveness of mRNA Therapeutics. Int J Mol Sci 2023; 24:14820. [PMID: 37834268 PMCID: PMC10573212 DOI: 10.3390/ijms241914820] [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: 07/13/2023] [Revised: 09/24/2023] [Accepted: 09/28/2023] [Indexed: 10/15/2023] Open
Abstract
Advances in molecular biology have revolutionized the use of messenger RNA (mRNA) as a therapeutic. The concept of nucleic acid therapy with mRNA originated in 1990 when Wolff et al. reported successful expression of proteins in target organs by direct injection of either plasmid DNA or mRNA. It took decades to bring the transfection efficiency of mRNA closer to that of DNA. The next few decades were dedicated to turning in vitro-transcribed (IVT) mRNA from a promising delivery tool for gene therapy into a full-blown therapeutic modality, which changed the biotech market rapidly. Hundreds of clinical trials are currently underway using mRNA for prophylaxis and therapy of infectious diseases and cancers, in regenerative medicine, and genome editing. The potential of IVT mRNA to induce an innate immune response favors its use for vaccination and immunotherapy. Nonetheless, in non-immunotherapy applications, the intrinsic immunostimulatory activity of mRNA directly hinders the desired therapeutic effect since it can seriously impair the target protein expression. Targeting the same innate immune factors can increase the effectiveness of mRNA therapeutics for some indications and decrease it for others, and vice versa. The review aims to present the innate immunity-related 'barriers' or 'springboards' that may affect the development of immunotherapies and non-immunotherapy applications of mRNA medicines.
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Affiliation(s)
- Albert Muslimov
- Scientific Center for Translational Medicine, Sirius University of Science and Technology, Olympic Ave 1, 354340 Sirius, Russia; (V.T.); (D.S.); (V.R.); (R.I.)
- Laboratory of Nano- and Microencapsulation of Biologically Active Substances, Peter the Great St. Petersburg Polytechnic University, Polytechnicheskaya 29, 195251 St. Petersburg, Russia;
- RM Gorbacheva Research Institute, Pavlov University, L’va Tolstogo 6-8, 197022 St. Petersburg, Russia;
| | - Valeriy Tereshchenko
- Scientific Center for Translational Medicine, Sirius University of Science and Technology, Olympic Ave 1, 354340 Sirius, Russia; (V.T.); (D.S.); (V.R.); (R.I.)
| | - Daniil Shevyrev
- Scientific Center for Translational Medicine, Sirius University of Science and Technology, Olympic Ave 1, 354340 Sirius, Russia; (V.T.); (D.S.); (V.R.); (R.I.)
| | - Anna Rogova
- Laboratory of Nano- and Microencapsulation of Biologically Active Substances, Peter the Great St. Petersburg Polytechnic University, Polytechnicheskaya 29, 195251 St. Petersburg, Russia;
- Saint-Petersburg Chemical-Pharmaceutical University, Professora Popova 14, 197376 St. Petersburg, Russia
- School of Physics and Engineering, ITMO University, Lomonosova 9, 191002 St. Petersburg, Russia
| | - Kirill Lepik
- RM Gorbacheva Research Institute, Pavlov University, L’va Tolstogo 6-8, 197022 St. Petersburg, Russia;
| | - Vasiliy Reshetnikov
- Scientific Center for Translational Medicine, Sirius University of Science and Technology, Olympic Ave 1, 354340 Sirius, Russia; (V.T.); (D.S.); (V.R.); (R.I.)
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Prospekt Akad. Lavrentyeva 10, 630090 Novosibirsk, Russia
| | - Roman Ivanov
- Scientific Center for Translational Medicine, Sirius University of Science and Technology, Olympic Ave 1, 354340 Sirius, Russia; (V.T.); (D.S.); (V.R.); (R.I.)
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15
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Patir A, Raper A, Fleming R, Henderson BEP, Murphy L, Henderson NC, Clark EL, Freeman TC, Barnett MW. Cellular heterogeneity of the developing worker honey bee (Apis mellifera) pupa: a single cell transcriptomics analysis. G3 (BETHESDA, MD.) 2023; 13:jkad178. [PMID: 37548242 PMCID: PMC10542211 DOI: 10.1093/g3journal/jkad178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 06/30/2023] [Accepted: 07/24/2023] [Indexed: 08/08/2023]
Abstract
It is estimated that animals pollinate 87.5% of flowering plants worldwide and that managed honey bees (Apis mellifera) account for 30-50% of this ecosystem service to agriculture. In addition to their important role as pollinators, honey bees are well-established insect models for studying learning and memory, behavior, caste differentiation, epigenetic mechanisms, olfactory biology, sex determination, and eusociality. Despite their importance to agriculture, knowledge of honey bee biology lags behind many other livestock species. In this study, we have used scRNA-Seq to map cell types to different developmental stages of the worker honey bee (prepupa at day 11 and pupa at day 15) and sought to determine their gene expression signatures. To identify cell-type populations, we examined the cell-to-cell network based on the similarity of the single-cells transcriptomic profiles. Grouping similar cells together we identified 63 different cell clusters of which 17 clusters were identifiable at both stages. To determine genes associated with specific cell populations or with a particular biological process involved in honey bee development, we used gene coexpression analysis. We combined this analysis with literature mining, the honey bee protein atlas, and gene ontology analysis to determine cell cluster identity. Of the cell clusters identified, 17 were related to the nervous system and sensory organs, 7 to the fat body, 19 to the cuticle, 5 to muscle, 4 to compound eye, 2 to midgut, 2 to hemocytes, and 1 to malpighian tubule/pericardial nephrocyte. To our knowledge, this is the first whole single-cell atlas of honey bees at any stage of development and demonstrates the potential for further work to investigate their biology at the cellular level.
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Affiliation(s)
- Anirudh Patir
- The Roslin Institute, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK
| | - Anna Raper
- The Roslin Institute, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK
| | - Robert Fleming
- The Roslin Institute, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK
| | - Beth E P Henderson
- The Queen's Medical Research Institute, Centre for Inflammation Research, University of Edinburgh,Edinburgh BioQuarter, Edinburgh EH16 4TJ, UK
| | - Lee Murphy
- Edinburgh Clinical Research Facility, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Neil C Henderson
- The Queen's Medical Research Institute, Centre for Inflammation Research, University of Edinburgh,Edinburgh BioQuarter, Edinburgh EH16 4TJ, UK
- Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh,Edinburgh EH4 2XU, UK
| | - Emily L Clark
- The Roslin Institute, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK
| | - Tom C Freeman
- The Roslin Institute, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK
| | - Mark W Barnett
- The Roslin Institute, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK
- Beebytes Analytics CIC, The Roslin Innovation Centre, University of Edinburgh, The Charnock Bradley Building, Easter Bush, Midlothian EH25 9RG, UK
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16
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Sengupta S, Shaw SK, Chatterjee S, Bhattacharya G, Barik PK, Chattopadhyay S, Devadas S. Perturbations in spike-specific peripheral T follicular helper cells in SARS-CoV2 breakthrough convalescent individuals immunized by BBV152 vaccine. J Med Virol 2023; 95:e29053. [PMID: 37650214 DOI: 10.1002/jmv.29053] [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: 05/31/2023] [Revised: 07/22/2023] [Accepted: 08/14/2023] [Indexed: 09/01/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-Cov2) infection has caused an increase in mortality and morbidity, but with vaccination, the disease severity has significantly reduced. With the emergence of various variants of concern (VOCs), the vaccine breakthrough infection has also increased. Here we studied circulating spike-specific T follicular response (cTfh) in infection-naïve vaccinees and convalescent vaccinees (individuals who got the Delta breakthrough infection after two doses of BBV152 vaccine) to understand their response as they are the most crucial cells that are involved in vaccine-mediated protection by helping in B-cell maturation. Our results indicated that cTfh cells in both the groups recognized the wild-type and Delta spike protein but memory response to the wild-type spike was superior in infection-naïve than in the convalescent group. The cytokine response, particularly interleukin-21 (IL-21) from cTfh, was also higher in infection-naïve than in convalescent vaccinees, indicating a dampened cTfh response in convalescent vaccinees after breakthrough infection. Also, there was a positive correlation between IL-21 from cTfh cells and neutralizing antibodies of infection-naïve vaccinees. Multiple cytokine analysis also revealed higher inflammation in convalescent vaccinees. Our data indicated that the necessity of a third booster dose may be individual-specific depending on the steady-state functional phenotype of immune cells.
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Affiliation(s)
- Soumya Sengupta
- Institute of Life Science, Nalco Square, Bhubaneswar, Odisha, India
- Regional Centre for Biotechnology (RCB), 3rd Milestone, Faridabad-Gurgaon, Haryana, India
- T cell and Immune Response Lab, Department of Infectious Disease Biology, Institute of Life Science (Autonomous Institute of Dept of Biotechnology, Govt. of India), Bhubaneswar, Odisha, India
| | - Shubham K Shaw
- Institute of Life Science, Nalco Square, Bhubaneswar, Odisha, India
- Regional Centre for Biotechnology (RCB), 3rd Milestone, Faridabad-Gurgaon, Haryana, India
- T cell and Immune Response Lab, Department of Infectious Disease Biology, Institute of Life Science (Autonomous Institute of Dept of Biotechnology, Govt. of India), Bhubaneswar, Odisha, India
| | - Sanchari Chatterjee
- Institute of Life Science, Nalco Square, Bhubaneswar, Odisha, India
- Regional Centre for Biotechnology (RCB), 3rd Milestone, Faridabad-Gurgaon, Haryana, India
- Molecular Virology Lab, Institute of Life Science, Nalco Square, Bhubaneswar, Odisha, India
| | - Gargee Bhattacharya
- Institute of Life Science, Nalco Square, Bhubaneswar, Odisha, India
- Regional Centre for Biotechnology (RCB), 3rd Milestone, Faridabad-Gurgaon, Haryana, India
- T cell and Immune Response Lab, Department of Infectious Disease Biology, Institute of Life Science (Autonomous Institute of Dept of Biotechnology, Govt. of India), Bhubaneswar, Odisha, India
| | - Prakash K Barik
- Institute of Life Science, Nalco Square, Bhubaneswar, Odisha, India
- T cell and Immune Response Lab, Department of Infectious Disease Biology, Institute of Life Science (Autonomous Institute of Dept of Biotechnology, Govt. of India), Bhubaneswar, Odisha, India
| | - Soma Chattopadhyay
- Institute of Life Science, Nalco Square, Bhubaneswar, Odisha, India
- Regional Centre for Biotechnology (RCB), 3rd Milestone, Faridabad-Gurgaon, Haryana, India
- Molecular Virology Lab, Institute of Life Science, Nalco Square, Bhubaneswar, Odisha, India
| | - Satish Devadas
- Institute of Life Science, Nalco Square, Bhubaneswar, Odisha, India
- Regional Centre for Biotechnology (RCB), 3rd Milestone, Faridabad-Gurgaon, Haryana, India
- T cell and Immune Response Lab, Department of Infectious Disease Biology, Institute of Life Science (Autonomous Institute of Dept of Biotechnology, Govt. of India), Bhubaneswar, Odisha, India
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17
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Schneor L, Kaltenbach S, Friedman S, Tussia-Cohen D, Nissan Y, Shuler G, Fraimovitch E, Kolodziejczyk AA, Weinberg M, Donati G, Teeling EC, Yovel Y, Hagai T. Comparison of antiviral responses in two bat species reveals conserved and divergent innate immune pathways. iScience 2023; 26:107435. [PMID: 37575178 PMCID: PMC10415932 DOI: 10.1016/j.isci.2023.107435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 05/28/2023] [Accepted: 07/14/2023] [Indexed: 08/15/2023] Open
Abstract
Bats host a range of disease-causing viruses without displaying clinical symptoms. The mechanisms behind this are a continuous source of interest. Here, we studied the antiviral response in the Egyptian fruit bat and Kuhl's pipistrelle, representing two subordinal clades. We profiled the antiviral response in fibroblasts using RNA sequencing and compared bat with primate and rodent responses. Both bats upregulate similar genes; however, a subset of these genes is transcriptionally divergent between them. These divergent genes also evolve rapidly in sequence, have specific promoter architectures, and are associated with programs underlying tolerance and resistance. Finally, we characterized antiviral genes that expanded in bats, with duplicates diverging in sequence and expression. Our study reveals a largely conserved antiviral program across bats and points to a set of genes that rapidly evolve through multiple mechanisms. These can contribute to bat adaptation to viral infection and provide directions to understanding the mechanisms behind it.
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Affiliation(s)
- Lilach Schneor
- Shmunis School of Biomedicine and Cancer Research, George S Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel
| | - Stefan Kaltenbach
- Shmunis School of Biomedicine and Cancer Research, George S Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel
| | - Sivan Friedman
- Shmunis School of Biomedicine and Cancer Research, George S Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel
| | - Dafna Tussia-Cohen
- Shmunis School of Biomedicine and Cancer Research, George S Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel
| | - Yomiran Nissan
- School of Zoology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Gal Shuler
- Shmunis School of Biomedicine and Cancer Research, George S Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel
| | - Evgeny Fraimovitch
- Shmunis School of Biomedicine and Cancer Research, George S Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel
| | | | - Maya Weinberg
- School of Zoology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Giacomo Donati
- Department of Life Sciences and Systems Biology, University of Turin, Torino, Italy
- Molecular Biotechnology Center, University of Turin, Torino, Italy
| | - Emma C. Teeling
- School of Biology and Environmental Science, University College Dublin, Dublin, Ireland
| | - Yossi Yovel
- School of Zoology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 6997801, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Tzachi Hagai
- Shmunis School of Biomedicine and Cancer Research, George S Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel
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18
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Haghpanah F, Hamilton A, Klein E. Modeling the potential health impacts of delayed strain selection on influenza hospitalization and mortality with mRNA vaccines. Vaccine X 2023; 14:100287. [PMID: 37063306 PMCID: PMC10090206 DOI: 10.1016/j.jvacx.2023.100287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 03/21/2023] [Accepted: 03/22/2023] [Indexed: 03/29/2023] Open
Abstract
Background Influenza viruses are constantly evolving through antigenic drift, which makes vaccines potentially ill-matched to circulating strains due to the time between strain selection and distribution. mRNA technology could improve vaccine effectiveness (VE) by reducing this time. Significant private and public investments would be required to accommodate accelerated vaccine development and approval. Hence, it is important to understand the potential impact of mRNA technology on influenza hospitalizations and mortality. Methods We developed an age-stratified dynamic model of influenza transmission to evaluate the potential impact of increased VE (increased protection against either infection or only hospitalization) on hospitalizations and mortality in the United States. We assume that mRNA technology allows for delaying the time to strain choice, which might increase efficacy, but it does not reduce the time needed for distribution and administration, which might reduce availability. To assess this tradeoff, we evaluated two scenarios where strain choice was delayed until late summer resulting in a more effective vaccine available to (1) all age groups by October, or (2) adults 65 years and older starting in August. Results If not available until October, the vaccine would need a minimum of 95% effectiveness against infection to see a decrease in hospitalizations and deaths in all age groups. When delayed until November, even a 100% effective vaccine had no significant impact. For the elderly, the minimum required VE (against infection) was 50% to reduce hospitalizations and deaths. Moreover, a vaccine with 80% VE against infection available in August for the 65 + age group was better than a 95% effective vaccine available in October for all ages. Conclusions As the majority of influenza-associated hospitalizations and deaths are in adults 65 years and older, a combination policy targeting higher VE and coverage for this age group in the short term would be the most efficacious.
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Affiliation(s)
| | | | - Eili Klein
- One Health Trust, Washington, D.C., USA
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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19
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Su X, Wang L, Ma N, Yang X, Liu C, Yang F, Li J, Yi X, Xing Y. Immune heterogeneity in cardiovascular diseases from a single-cell perspective. Front Cardiovasc Med 2023; 10:1057870. [PMID: 37180791 PMCID: PMC10167030 DOI: 10.3389/fcvm.2023.1057870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 04/10/2023] [Indexed: 05/16/2023] Open
Abstract
A variety of immune cell subsets occupy different niches in the cardiovascular system, causing changes in the structure and function of the heart and vascular system, and driving the progress of cardiovascular diseases (CVDs). The immune cells infiltrating the injury site are highly diverse and integrate into a broad dynamic immune network that controls the dynamic changes of CVDs. Due to technical limitations, the effects and molecular mechanisms of these dynamic immune networks on CVDs have not been fully revealed. With recent advances in single-cell technologies such as single-cell RNA sequencing, systematic interrogation of the immune cell subsets is feasible and will provide insights into the way we understand the integrative behavior of immune populations. We no longer lightly ignore the role of individual cells, especially certain highly heterogeneous or rare subpopulations. We summarize the phenotypic diversity of immune cell subsets and their significance in three CVDs of atherosclerosis, myocardial ischemia and heart failure. We believe that such a review could enhance our understanding of how immune heterogeneity drives the progression of CVDs, help to elucidate the regulatory roles of immune cell subsets in disease, and thus guide the development of new immunotherapies.
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Affiliation(s)
- Xin Su
- China Academy of Chinese Medical Sciences, Guang’anmen Hospital, Beijing, China
| | - Li Wang
- Department of Breast Surgery, Xingtai People’s Hospital, Xingtai, China
| | - Ning Ma
- Department of Breast Surgery, Dezhou Second People’s Hospital, Dezhou, China
| | - Xinyu Yang
- Fangshan Hospital Beijing University of Chinese Medicine, Beijing, China
| | - Can Liu
- China Academy of Chinese Medical Sciences, Guang’anmen Hospital, Beijing, China
| | - Fan Yang
- China Academy of Chinese Medical Sciences, Guang’anmen Hospital, Beijing, China
| | - Jun Li
- China Academy of Chinese Medical Sciences, Guang’anmen Hospital, Beijing, China
| | - Xin Yi
- Department of Cardiology, Beijing Huimin Hospital, Beijing, China
| | - Yanwei Xing
- China Academy of Chinese Medical Sciences, Guang’anmen Hospital, Beijing, China
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20
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Torres-Castro K, Jarmoshti J, Xiao L, Rane A, Salahi A, Jin L, Li X, Caselli F, Honrado C, Swami NS. Multichannel impedance cytometry downstream of cell separation by deterministic lateral displacement to quantify macrophage enrichment in heterogeneous samples. ADVANCED MATERIALS TECHNOLOGIES 2023; 8:2201463. [PMID: 37706194 PMCID: PMC10497222 DOI: 10.1002/admt.202201463] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Indexed: 09/15/2023]
Abstract
The integration of on-chip biophysical cytometry downstream of microfluidic enrichment for inline monitoring of phenotypic and separation metrics at single-cell sensitivity can allow for active control of separation and its application to versatile sample sets. We present integration of impedance cytometry downstream of cell separation by deterministic lateral displacement (DLD) for enrichment of activated macrophages from a heterogeneous sample, without the problems of biased sample loss and sample dilution caused by off-chip analysis. This required designs to match cell/particle flow rates from DLD separation into the confined single-cell impedance cytometry stage, the balancing of flow resistances across the separation array width to maintain unidirectionality, and the utilization of co-flowing beads as calibrated internal standards for inline assessment of DLD separation and for impedance data normalization. Using a heterogeneous sample with un-activated and activated macrophages, wherein macrophage polarization during activation causes cell size enlargement, on-chip impedance cytometry is used to validate DLD enrichment of the activated subpopulation at the displaced outlet, based on the multiparametric characteristics of cell size distribution and impedance phase metrics. This hybrid platform can monitor separation of specific subpopulations from cellular samples with wide size distributions, for active operational control and enhanced sample versatility.
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Affiliation(s)
- Karina Torres-Castro
- Electrical Engineering, University of Virginia, Charlottesville, Virginia-22904, USA
| | - Javad Jarmoshti
- Electrical Engineering, University of Virginia, Charlottesville, Virginia-22904, USA
| | - Li Xiao
- Orthopedics, School of Medicine, University of Virginia, Virginia-22904, USA
| | - Aditya Rane
- Chemistry, University of Virginia, Charlottesville, Virginia-22904, USA
| | - Armita Salahi
- Electrical Engineering, University of Virginia, Charlottesville, Virginia-22904, USA
| | - Li Jin
- Orthopedics, School of Medicine, University of Virginia, Virginia-22904, USA
| | - Xudong Li
- Orthopedics, School of Medicine, University of Virginia, Virginia-22904, USA
| | | | - Carlos Honrado
- Electrical Engineering, University of Virginia, Charlottesville, Virginia-22904, USA
| | - Nathan S. Swami
- Electrical Engineering, University of Virginia, Charlottesville, Virginia-22904, USA
- Chemistry, University of Virginia, Charlottesville, Virginia-22904, USA
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21
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Öcal K, Sanguinetti G, Grima R. Model reduction for the Chemical Master Equation: An information-theoretic approach. J Chem Phys 2023; 158:114113. [PMID: 36948813 DOI: 10.1063/5.0131445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023] Open
Abstract
The complexity of mathematical models in biology has rendered model reduction an essential tool in the quantitative biologist's toolkit. For stochastic reaction networks described using the Chemical Master Equation, commonly used methods include time-scale separation, Linear Mapping Approximation, and state-space lumping. Despite the success of these techniques, they appear to be rather disparate, and at present, no general-purpose approach to model reduction for stochastic reaction networks is known. In this paper, we show that most common model reduction approaches for the Chemical Master Equation can be seen as minimizing a well-known information-theoretic quantity between the full model and its reduction, the Kullback-Leibler divergence defined on the space of trajectories. This allows us to recast the task of model reduction as a variational problem that can be tackled using standard numerical optimization approaches. In addition, we derive general expressions for propensities of a reduced system that generalize those found using classical methods. We show that the Kullback-Leibler divergence is a useful metric to assess model discrepancy and to compare different model reduction techniques using three examples from the literature: an autoregulatory feedback loop, the Michaelis-Menten enzyme system, and a genetic oscillator.
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Affiliation(s)
- Kaan Öcal
- School of Informatics, University of Edinburgh, Edinburgh EH8 9AB, United Kingdom
| | - Guido Sanguinetti
- Scuola Internazionale Superiore di Studi Avanzati, 34136 Trieste, Italy
| | - Ramon Grima
- School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JH, United Kingdom
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22
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Apsley AT, Etzel L, Hastings WJ, Heim CC, Noll JG, O'Donnell KJ, Schreier HMC, Shenk CE, Ye Q, Shalev I. Investigating the effects of maltreatment and acute stress on the concordance of blood and DNA methylation methods of estimating immune cell proportions. Clin Epigenetics 2023; 15:33. [PMID: 36855187 PMCID: PMC9976543 DOI: 10.1186/s13148-023-01437-5] [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: 09/08/2022] [Accepted: 02/05/2023] [Indexed: 03/02/2023] Open
Abstract
BACKGROUND Immune cell proportions can be used to detect pathophysiological states and are also critical covariates in genomic analyses. The complete blood count (CBC) is the most common method of immune cell proportion estimation, but immune cell proportions can also be estimated using whole-genome DNA methylation (DNAm). Although the concordance of CBC and DNAm estimations has been validated in various adult and clinical populations, less is known about the concordance of existing estimators among stress-exposed individuals. As early life adversity and acute psychosocial stress have both been associated with unique DNAm alterations, the concordance of CBC and DNAm immune cell proportion needs to be validated in various states of stress. RESULTS We report the correlation and concordance between CBC and DNAm estimates of immune cell proportions using the Illumina EPIC DNAm array within two unique studies: Study 1, a high-risk pediatric cohort of children oversampled for exposure to maltreatment (N = 365, age 8 to 14 years), and Study 2, a sample of young adults who have participated in an acute laboratory stressor with four pre- and post-stress measurements (N = 28, number of observations = 100). Comparing CBC and DNAm proportions across both studies, estimates of neutrophils (r = 0.948, p < 0.001), lymphocytes (r = 0.916, p < 0.001), and eosinophils (r = 0.933, p < 0.001) were highly correlated, while monocyte estimates were moderately correlated (r = 0.766, p < 0.001) and basophil estimates were weakly correlated (r = 0.189, p < 0.001). In Study 1, we observed significant deviations in raw values between the two approaches for some immune cell subtypes; however, the observed differences were not significantly predicted by exposure to child maltreatment. In Study 2, while significant changes in immune cell proportions were observed in response to acute psychosocial stress for both CBC and DNAm estimates, the observed changes were similar for both approaches. CONCLUSIONS Although significant differences in immune cell proportion estimates between CBC and DNAm exist, as well as stress-induced changes in immune cell proportions, neither child maltreatment nor acute psychosocial stress alters the concordance of CBC and DNAm estimation methods. These results suggest that the agreement between CBC and DNAm estimators of immune cell proportions is robust to exposure to child maltreatment and acute psychosocial stress.
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Affiliation(s)
- Abner T Apsley
- Department of Biobehavioral Health, The Pennsylvania State University, 219 Biobehavioral Health Building, University Park, PA, 16802, USA
- Department of Molecular, Cellular, and Integrated Biosciences, The Pennsylvania State University, University Park, PA, USA
| | - Laura Etzel
- Department of Biobehavioral Health, The Pennsylvania State University, 219 Biobehavioral Health Building, University Park, PA, 16802, USA
| | - Waylon J Hastings
- Department of Biobehavioral Health, The Pennsylvania State University, 219 Biobehavioral Health Building, University Park, PA, 16802, USA
| | - Christine C Heim
- Department of Biobehavioral Health, The Pennsylvania State University, 219 Biobehavioral Health Building, University Park, PA, 16802, USA
- Corporate Member of Freie Universität Berlin, and Humboldt-Universität Zu Berlin, Berlin Institute of Health (BIH), Institute of Medical Psychology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Jennie G Noll
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA
| | - Kieran J O'Donnell
- Yale Child Study Center, Yale School of Medicine, Yale University, New Haven, CT, USA
- Department of Obstetrics Gynecology and Reproductive Sciences, Yale School of Medicine, Yale University, New Haven, CT, USA
| | - Hannah M C Schreier
- Department of Biobehavioral Health, The Pennsylvania State University, 219 Biobehavioral Health Building, University Park, PA, 16802, USA
| | - Chad E Shenk
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA
- Department of Pediatrics, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Qiaofeng Ye
- Department of Biobehavioral Health, The Pennsylvania State University, 219 Biobehavioral Health Building, University Park, PA, 16802, USA
| | - Idan Shalev
- Department of Biobehavioral Health, The Pennsylvania State University, 219 Biobehavioral Health Building, University Park, PA, 16802, USA.
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23
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Embracing lipidomics at single-cell resolution: Promises and pitfalls. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2023.116973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
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24
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Abstract
Alzheimer's disease (AD) is a genetically complex and heterogeneous disorder with multifaceted neuropathological features, including β-amyloid plaques, neurofibrillary tangles, and neuroinflammation. Over the past decade, emerging evidence has implicated both beneficial and pathological roles for innate immune genes and immune cells, including peripheral immune cells such as T cells, which can infiltrate the brain and either ameliorate or exacerbate AD neuropathogenesis. These findings support a neuroimmune axis of AD, in which the interplay of adaptive and innate immune systems inside and outside the brain critically impacts the etiology and pathogenesis of AD. In this review, we discuss the complexities of AD neuropathology at the levels of genetics and cellular physiology, highlighting immune signaling pathways and genes associated with AD risk and interactions among both innate and adaptive immune cells in the AD brain. We emphasize the role of peripheral immune cells in AD and the mechanisms by which immune cells, such as T cells and monocytes, influence AD neuropathology, including microglial clearance of amyloid-β peptide, the key component of β-amyloid plaque cores, pro-inflammatory and cytotoxic activity of microglia, astrogliosis, and their interactions with the brain vasculature. Finally, we review the challenges and outlook for establishing immune-based therapies for treating and preventing AD.
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25
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Stuqui B, Provazzi PJS, Lima MLD, Cabral ÁS, Leonel ECR, Candido NM, Taboga SR, da Silva MG, Lima FDO, Melli PPDS, Quintana SM, Calmon MDF, Rahal P. Condyloma acuminata: An evaluation of the immune response at cellular and molecular levels. PLoS One 2023; 18:e0284296. [PMID: 37053156 PMCID: PMC10101375 DOI: 10.1371/journal.pone.0284296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 03/28/2023] [Indexed: 04/14/2023] Open
Abstract
Condyloma acuminata (CA) is a benign proliferative disease mainly affecting in non-keratinized epithelia. Most cases of CA are caused by low-risk human papillomavirus (HPV), mainly HPV 6 and 11. The aim of the current study was to highlight the candidate genes and pathways associated with immune alterations in individuals who did not spontaneously eliminate the virus and, thus, develop genital warts. Paraffin-embedded condyloma samples (n = 56) were analyzed by immunohistochemistry using antibodies against CD1a, FOXP3, CD3, CD4, CD8, and IFN-γ. The immunomarkers were chosen based on the evaluation of the innate and adaptive immune pathways using qPCR analysis of 92 immune-related genes, applying a TaqMan Array Immune Response assay in HPV 6 or HPV 11 positive samples (n = 27). Gene expression analysis revealed 31 differentially expressed genes in CA lesions. Gene expression validation revealed upregulation of GZMB, IFNG, IL12B, and IL8 and downregulation of NFATC4 and IL7 in CA samples. Immunohistochemical analysis showed increased FOXP3, IFN-γ, CD1a, and CD4 expression in CA than in the control tissue samples. In contrast, CD3 and CD8 expression was decreased in CA lesion samples. Increased levels of pro-inflammatory cytokines in HPV-positive patients compared with HPV-negative patients seem to reflect the elevated immunogenicity of HPV-positive CA lesions. Host defense against HPV begins during the early stages of the innate immune response and is followed by activation of T lymphocytes, which are mainly represented by CD4+ and regulatory T cells. The low CD8+ T cell count in CA may contribute to this recurrent behavior. Additional studies are needed to elucidate the mechanism of host defense against HPV infection in CA.
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Affiliation(s)
- Bruna Stuqui
- Department of Biology, São Paulo State University, São José do Rio Preto, São Paulo, Brazil
| | | | | | - Ágata Silva Cabral
- Department of Biology, São Paulo State University, São José do Rio Preto, São Paulo, Brazil
| | | | - Natalia Maria Candido
- Department of Biology, São Paulo State University, São José do Rio Preto, São Paulo, Brazil
| | | | | | | | | | - Silvana Maria Quintana
- Department of Gynecology and Obstetrics, Ribeirāo Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | | | - Paula Rahal
- Department of Biology, São Paulo State University, São José do Rio Preto, São Paulo, Brazil
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26
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Carannante V, Sandström N, Olofsson K, Van Ooijen H, Hell B, Wiklund M, Önfelt B. Generation of tumor spheroids in microwells to study NK cell cytotoxicity, infiltration and phenotype. Methods Cell Biol 2023. [PMID: 37516526 DOI: 10.1016/bs.mcb.2023.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
Abstract
The development of new immunotherapeutic drugs and combinatorial strategies requires the implementation of novel methods to test their efficacy in vitro. Here, we present a series of miniaturized in vitro assays to assess immune cell cytotoxic activity, infiltration, and phenotype in renal carcinoma spheroids with the use of a recently developed multichambered microwell chip. We provide protocols for tumor spheroid formation, NK cell culture, fluorescence labelling and imaging of live or fixed cells directly in the chip together with data analysis.
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27
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Qin Y, Wu L, Chiu DT. Dielectrophoresis-Assisted Self-Digitization Chip for High-Efficiency Single-Cell Analysis. Methods Mol Biol 2023; 2689:27-38. [PMID: 37430044 DOI: 10.1007/978-1-0716-3323-6_3] [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: 07/12/2023]
Abstract
Single-cell analysis of cell phenotypic information such as surface protein expression and nucleic acid content is essential for understanding heterogeneity within cell populations. Here the design and use of a dielectrophoresis-assisted self-digitization (SD) microfluidics chip is described; it captures single cells in isolated microchambers with high efficiency for single-cell analysis. The self-digitization chip spontaneously partitions aqueous solution into microchambers through a combination of fluidic forces, interfacial tension, and channel geometry. Single cells are guided to and trapped at the entrances of microchambers by dielectrophoresis (DEP) due to local electric field maxima created by an externally applied AC voltage. Excess cells are flushed away, and trapped cells are released into the chambers and prepared for in situ analysis by turning off the external voltage, by running reaction buffer through the chip, and by sealing the chambers with a flow of an immiscible oil phase through the surrounding channels. The use of this device in single-cell analysis is demonstrated by performing single-cell nucleic acid quantitation based on loop-mediated isothermal amplification (LAMP). This platform provides a powerful new tool for single-cell research pertaining to drug discovery. For example, the single-cell genotyping of cancer-related mutant gene observed from the digital chip could be useful biomarker for targeted therapy.
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Affiliation(s)
- Yuling Qin
- School of Public Health, Nantong University, Nantong, Jiangsu, P. R. China.
| | - Li Wu
- School of Public Health, Nantong University, Nantong, Jiangsu, P. R. China
| | - Daniel T Chiu
- Department of Chemistry and Bioengineering, University of Washington, Seattle, WA, USA
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28
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Zhao Y, Xiao Y, Hu Z, Wang J, Xu Z, Mo Y, Qi G, Chen K, Wu W, Ma W. Bibliometric analysis of single-cell sequencing researches on immune cells and their application of DNA damage repair in cancer immunotherapy. Front Oncol 2023; 13:1067305. [PMID: 36776314 PMCID: PMC9909395 DOI: 10.3389/fonc.2023.1067305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 01/09/2023] [Indexed: 01/27/2023] Open
Abstract
INTRODUCTION In recent decades, single-cell sequencing technology has developed rapidly and used widely in various fields of life sciences, especially for the detection of immune cells. A bibliometric analysis of single-cell sequencing research work on immune cells published during the 2011-2021 period should provide new insight on the use of single-cell sequencing. METHODS We screened 1,460 publications on single-cell sequencing on immune cells according to the publication date, article type, language, and country. REULTS The United States published the first and largest number of articles, while China's research started relatively late, but ranked second in the number of publications. T cells were the most commonly studied immune cells by single-cell sequencing, followed by mononuclear macrophages. Cancer biology was the most common field of immune cell research by single-cell sequencing. Single-cell sequencing studies using γδ T cells were mainly in the fields of cancer biology and cell development, and focused over time from cell surface receptor to cell function. Through in-depth analysis of the articles on single-cell sequencing of T cells in the oncology field, our analysis found that immunotherapy and tumor microenvironment were the most popular research directions in recent years. DISCUSSION The combination of DNA damage repair and immunotherapy seems to provide a new strategy for cancer therapy.
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Affiliation(s)
- Yu Zhao
- Department of Hematology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China
| | - Yuanxun Xiao
- Department of Burn & Plastic Surgery, Yuebei People’s Hospital Affiliated to Shantou University Medical College, Shaoguan, Guangdong, China
| | - Zhengbo Hu
- Department of Orthopaedics, Yuebei People’s Hospital Affiliated to Shantou University Medical College, Shaoguan, Guangdong, China
| | - Ji Wang
- Department of Spine Surgery, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Zhiguang Xu
- Department of Spine Surgery, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yizhang Mo
- Department of Spine Surgery, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Guojun Qi
- Guangdong Provincial Key Laboratory of High Technology for Plant Protection, Plant Protection Research Institute, Guangdong Academy of Agricultural Science, Guangzhou, Guangdong, China
| | - Kebing Chen
- Department of Spine Surgery, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
- *Correspondence: Kebing Chen, ; Wu Wu, ; Weiying Ma,
| | - Wu Wu
- Orthopedics Rehabilitation Department, Guangdong Work Injury Rehabilitation Center, Guangzhou, Guangdong, China
- *Correspondence: Kebing Chen, ; Wu Wu, ; Weiying Ma,
| | - Weiying Ma
- Department of Anesthesiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
- *Correspondence: Kebing Chen, ; Wu Wu, ; Weiying Ma,
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29
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Van Eyndhoven LC, Tel J. Revising immune cell coordination: Origins and importance of single-cell variation. Eur J Immunol 2022; 52:1889-1897. [PMID: 36250412 PMCID: PMC10092580 DOI: 10.1002/eji.202250073] [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: 06/29/2022] [Revised: 08/15/2022] [Accepted: 10/11/2022] [Indexed: 12/13/2022]
Abstract
Moving from the optimalization of single-cell technologies to the interpretation of the multi-complex single-cell data, the field of immunoengineering is granted with numerous important insights into the coordination of immune cell activation and how to modulate it for therapeutic purposes. However, insights come with additional follow-up questions that challenge our perception on how immune responses are generated and fine-tuned to fight a wide array of pathogens in ever-changing and often unpredictable microenvironments. Are immune responses really either being tightly regulated by molecular determinants, or highly flexible attributed to stochasticity? What exactly makes up the basic rules by which single cells cooperate to establish tissue-level immunity? Taking the type I IFN system and its newest insights as a main example throughout this review, we revise the basic concepts of (single) immune cell coordination, redefine the concepts of noise, stochasticity and determinism, and highlight the importance of single-cell variation in immunology and beyond.
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Affiliation(s)
- Laura C Van Eyndhoven
- Laboratory of Immunoengineering, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.,Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Jurjen Tel
- Laboratory of Immunoengineering, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.,Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, Eindhoven, The Netherlands
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30
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Tiemeijer BM, Descamps L, Hulleman J, Sleeboom JJF, Tel J. A Microfluidic Approach for Probing Heterogeneity in Cytotoxic T-Cells by Cell Pairing in Hydrogel Droplets. MICROMACHINES 2022; 13:1910. [PMID: 36363930 PMCID: PMC9692327 DOI: 10.3390/mi13111910] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 10/31/2022] [Accepted: 11/03/2022] [Indexed: 06/16/2023]
Abstract
Cytotoxic T-cells (CTLs) exhibit strong effector functions to leverage antigen-specific anti-tumoral and anti-viral immunity. When naïve CTLs are activated by antigen-presenting cells (APCs) they display various levels of functional heterogeneity. To investigate this, we developed a single-cell droplet microfluidics platform that allows for deciphering single CTL activation profiles by multi-parameter analysis. We identified and correlated functional heterogeneity based on secretion profiles of IFNγ, TNFα, IL-2, and CD69 and CD25 surface marker expression levels. Furthermore, we strengthened our approach by incorporating low-melting agarose to encapsulate pairs of single CTLs and artificial APCs in hydrogel droplets, thereby preserving spatial information over cell pairs. This approach provides a robust tool for high-throughput and single-cell analysis of CTLs compatible with flow cytometry for subsequent analysis and sorting. The ability to score CTL quality, combined with various potential downstream analyses, could pave the way for the selection of potent CTLs for cell-based therapeutic strategies.
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Affiliation(s)
- Bart M. Tiemeijer
- Laboratory of Immunoengineering, Department Biomedical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
- Institute for Complex Molecular Systems, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
| | - Lucie Descamps
- Laboratory of Immunoengineering, Department Biomedical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
- Institute for Complex Molecular Systems, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
| | - Jesse Hulleman
- Laboratory of Immunoengineering, Department Biomedical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
- Institute for Complex Molecular Systems, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
| | - Jelle J. F. Sleeboom
- Microsystems, Department of Mechanical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
| | - Jurjen Tel
- Laboratory of Immunoengineering, Department Biomedical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
- Institute for Complex Molecular Systems, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
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31
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Chou EL, Chaffin M, Simonson B, Pirruccello JP, Akkad AD, Nekoui M, Cardenas CLL, Bedi KC, Nash C, Juric D, Stone JR, Isselbacher EM, Margulies KB, Klattenhoff C, Ellinor PT, Lindsay ME. Aortic Cellular Diversity and Quantitative Genome-Wide Association Study Trait Prioritization Through Single-Nuclear RNA Sequencing of the Aneurysmal Human Aorta. Arterioscler Thromb Vasc Biol 2022; 42:1355-1374. [PMID: 36172868 PMCID: PMC9613617 DOI: 10.1161/atvbaha.122.317953] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 09/16/2022] [Indexed: 12/30/2022]
Abstract
BACKGROUND Mural cells in ascending aortic aneurysms undergo phenotypic changes that promote extracellular matrix destruction and structural weakening. To explore this biology, we analyzed the transcriptional features of thoracic aortic tissue. METHODS Single-nuclear RNA sequencing was performed on 13 samples from human donors, 6 with thoracic aortic aneurysm, and 7 without aneurysm. Individual transcriptomes were then clustered based on transcriptional profiles. Clusters were used for between-disease differential gene expression analyses, subcluster analysis, and analyzed for intersection with genetic aortic trait data. RESULTS We sequenced 71 689 nuclei from human thoracic aortas and identified 14 clusters, aligning with 11 cell types, predominantly vascular smooth muscle cells (VSMCs) consistent with aortic histology. With unbiased methodology, we found 7 vascular smooth muscle cell and 6 fibroblast subclusters. Differentially expressed genes analysis revealed a vascular smooth muscle cell group accounting for the majority of differential gene expression. Fibroblast populations in aneurysm exhibit distinct behavior with almost complete disappearance of quiescent fibroblasts. Differentially expressed genes were used to prioritize genes at aortic diameter and distensibility genome-wide association study loci highlighting the genes JUN, LTBP4 (latent transforming growth factor beta-binding protein 1), and IL34 (interleukin 34) in fibroblasts, ENTPD1, PDLIM5 (PDZ and LIM domain 5), ACTN4 (alpha-actinin-4), and GLRX in vascular smooth muscle cells, as well as LRP1 in macrophage populations. CONCLUSIONS Using nuclear RNA sequencing, we describe the cellular diversity of healthy and aneurysmal human ascending aorta. Sporadic aortic aneurysm is characterized by differential gene expression within known cellular classes rather than by the appearance of novel cellular forms. Single-nuclear RNA sequencing of aortic tissue can be used to prioritize genes at aortic trait loci.
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Affiliation(s)
- Elizabeth L. Chou
- Division of Vascular and Endovascular Surgery,
Massachusetts General Hospital, Boston, Massachusetts, USA
- Cardiovascular Research Center, Massachusetts General
Hospital, Boston, Massachusetts, USA
- Cardiovascular Disease Initiative, Broad Institute,
Cambridge, Massachusetts, USA
| | - Mark Chaffin
- Cardiovascular Disease Initiative, Broad Institute,
Cambridge, Massachusetts, USA
- Precision Cardiology Laboratory, The Broad Institute,
Cambridge, MA, USA 02142
| | - Bridget Simonson
- Cardiovascular Disease Initiative, Broad Institute,
Cambridge, Massachusetts, USA
- Precision Cardiology Laboratory, The Broad Institute,
Cambridge, MA, USA 02142
| | - James P. Pirruccello
- Cardiology Division, Massachusetts General Hospital,
Boston, Massachusetts, USA
- Cardiovascular Research Center, Massachusetts General
Hospital, Boston, Massachusetts, USA
- Cardiovascular Disease Initiative, Broad Institute,
Cambridge, Massachusetts, USA
- Precision Cardiology Laboratory, The Broad Institute,
Cambridge, MA, USA 02142
- Demoulas Center for Cardiac Arrhythmias, Massachusetts
General Hospital, Boston, Massachusetts, USA
| | - Amer-Denis Akkad
- Precision Cardiology Laboratory, Bayer US LLC, Cambridge,
MA, USA 02142
| | - Mahan Nekoui
- Cardiovascular Disease Initiative, Broad Institute,
Cambridge, Massachusetts, USA
- Demoulas Center for Cardiac Arrhythmias, Massachusetts
General Hospital, Boston, Massachusetts, USA
| | - Christian Lacks Lino Cardenas
- Cardiology Division, Massachusetts General Hospital,
Boston, Massachusetts, USA
- Cardiovascular Research Center, Massachusetts General
Hospital, Boston, Massachusetts, USA
| | - Kenneth C. Bedi
- Perelman School of Medicine, University of Pennsylvania,
Philadelphia, PA, USA 19104
| | - Craig Nash
- Cardiovascular Disease Initiative, Broad Institute,
Cambridge, Massachusetts, USA
- Precision Cardiology Laboratory, The Broad Institute,
Cambridge, MA, USA 02142
| | - Dejan Juric
- Cancer Center, Massachusetts General Hospital, Boston,
Massachusetts, USA
| | - James R. Stone
- Department of Pathology, Massachusetts General
Hospital, Boston, Massachusetts, USA
| | - Eric M. Isselbacher
- Cardiology Division, Massachusetts General Hospital,
Boston, Massachusetts, USA
- Cardiovascular Research Center, Massachusetts General
Hospital, Boston, Massachusetts, USA
- Thoracic Aortic Center, Massachusetts General Hospital,
Boston, Massachusetts, USA
| | - Kenneth B. Margulies
- Perelman School of Medicine, University of Pennsylvania,
Philadelphia, PA, USA 19104
| | - Carla Klattenhoff
- Precision Cardiology Laboratory, Bayer US LLC, Cambridge,
MA, USA 02142
| | - Patrick T. Ellinor
- Cardiology Division, Massachusetts General Hospital,
Boston, Massachusetts, USA
- Cardiovascular Research Center, Massachusetts General
Hospital, Boston, Massachusetts, USA
- Cardiovascular Disease Initiative, Broad Institute,
Cambridge, Massachusetts, USA
- Precision Cardiology Laboratory, The Broad Institute,
Cambridge, MA, USA 02142
- Demoulas Center for Cardiac Arrhythmias, Massachusetts
General Hospital, Boston, Massachusetts, USA
| | - Mark E. Lindsay
- Cardiology Division, Massachusetts General Hospital,
Boston, Massachusetts, USA
- Cardiovascular Research Center, Massachusetts General
Hospital, Boston, Massachusetts, USA
- Cardiovascular Disease Initiative, Broad Institute,
Cambridge, Massachusetts, USA
- Thoracic Aortic Center, Massachusetts General Hospital,
Boston, Massachusetts, USA
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32
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Cui C, Tang X, Xing J, Sheng X, Chi H, Zhan W. Single-cell RNA-seq uncovered hemocyte functional subtypes and their differentiational characteristics and connectivity with morphological subpopulations in Litopenaeus vannamei. Front Immunol 2022; 13:980021. [PMID: 36177045 PMCID: PMC9513592 DOI: 10.3389/fimmu.2022.980021] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 08/22/2022] [Indexed: 12/01/2022] Open
Abstract
Hemocytes play central roles in shrimp immune system, whereas whose subclasses have not yet been completely defined. At present, the morphological classification of hemocytes is inadequate to classify the complete hemocyte repertoire and elucidate the functions and differentiation and maturation processes. Based on single-cell RNA sequencing (scRNA-seq) of hemocytes in healthy Litopenaeus vannamei, combined with RNA-FISH and flow cytometric sorting, we identified three hemocyte clusters including TGase+ cells, CTL+ cells and Crustin+ cells, and further determined their functional properties, potential differentiation trajectory and correspondence with morphological subpopulations. The TGase+ cells were mainly responsible for the coagulation, exhibiting distinguishable characteristics of hyalinocyte, and appeared to be developmentally arrested at an early stage of hemocyte differentiation. The CTL+ cells and Crustin+ cells arrested at terminal stages of differentiation mainly participated in recognizing foreign pathogens and initiating immune defense responses, owning distinctive features of granule-containing hemocytes. Furthermore, we have revealed the functional sub-clusters of three hemocyte clusters and their potential differentiation pathways according to the expression of genes involved in cell cycle, cell differentiation and immune response, and the successive differentiation and maturation of hyalinocytes to granule-containing hemocytes have also mapped. The results revealed the diversity of shrimp hemocytes and provide new theoretical rationale for hemocyte classification, which also facilitate systematic research on crustacean immunity.
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Affiliation(s)
- Chuang Cui
- Laboratory of Pathology and Immunology of Aquatic Animals, The Key Laboratory of Mariculture, Ministry of Education (KLMME), Ocean University of China, Qingdao, China
| | - Xiaoqian Tang
- Laboratory of Pathology and Immunology of Aquatic Animals, The Key Laboratory of Mariculture, Ministry of Education (KLMME), Ocean University of China, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Jing Xing
- Laboratory of Pathology and Immunology of Aquatic Animals, The Key Laboratory of Mariculture, Ministry of Education (KLMME), Ocean University of China, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Xiuzhen Sheng
- Laboratory of Pathology and Immunology of Aquatic Animals, The Key Laboratory of Mariculture, Ministry of Education (KLMME), Ocean University of China, Qingdao, China
| | - Heng Chi
- Laboratory of Pathology and Immunology of Aquatic Animals, The Key Laboratory of Mariculture, Ministry of Education (KLMME), Ocean University of China, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Wenbin Zhan
- Laboratory of Pathology and Immunology of Aquatic Animals, The Key Laboratory of Mariculture, Ministry of Education (KLMME), Ocean University of China, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
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Single-cell assessment of the modulation of macrophage activation by ex vivo intervertebral discs using impedance cytometry. Biosens Bioelectron 2022; 210:114346. [PMID: 35569268 PMCID: PMC9623412 DOI: 10.1016/j.bios.2022.114346] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 04/30/2022] [Accepted: 05/04/2022] [Indexed: 11/21/2022]
Abstract
Measurement of macrophage activation and its modulation for immune regulation is of great interest to arrest inflammatory responses associated with degeneration of intervertebral discs that cause chronic back pain, and with transplants that face immune rejection. Due to the phenotypic plasticity of macrophages that serve multiple immune functions, the net disease outcome is determined by a balance of subpopulations with competing functions, highlighting the need for single-cell methods to quantify heterogeneity in their activation phenotypes. However, since macrophage activation can follow several signaling pathways, cytometry after fluorescent staining of markers with antibodies does not often provide dose-dependent information on activation dynamics. We present high throughput single-cell impedance cytometry for multiparametric measurement of biophysical changes to individual macrophages for quantifying activation in a dose and duration dependent manner, without relying on a particular signaling pathway. Impedance phase metrics measured at two frequencies and the electrical diameter from impedance magnitude at lower frequencies are used in tandem to benchmark macrophage activation by degenerated discs against that from lipopolysaccharide stimulation at varying dose and duration levels, so that reversal of the activation state by curcumin can be ascertained. This label-free single-cell measurement method can form the basis for platforms to screen therapies for inflammation, thereby addressing the chronic problem of back pain.
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Dey S, Boucher D, Pitchford J, Lagos D. Mathematical modelling of activation-induced heterogeneity in TNF, IL6, NOS2, and IL1β expression reveals cell state transitions underpinning macrophage responses to LPS. Wellcome Open Res 2022; 7:29. [PMID: 36072059 PMCID: PMC9411976 DOI: 10.12688/wellcomeopenres.17557.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/06/2022] [Indexed: 11/20/2022] Open
Abstract
Background: Despite extensive work on macrophage heterogeneity, the mechanisms driving activation induced heterogeneity (AIH) in macrophages remain poorly understood. Here, we aimed to develop mathematical models to explore theoretical cellular states underpinning the empirically observed responses of macrophages following lipopolysaccharide (LPS) challenge. Methods: We obtained empirical data following primary and secondary responses to LPS in two
in vitro cellular models (bone marrow-derived macrophages or BMDMs, and RAW 264.7 cells) and single-cell protein measurements for four key inflammatory mediators: TNF, IL-6, pro-IL-1β, and NOS2, and used mathematical modelling to understand heterogeneity. Results: For these four factors, we showed that macrophage community AIH is dependent on LPS dose and that altered AIH kinetics in macrophages responding to a second LPS challenge underpin hypo-responsiveness to LPS. These empirical data can be explained by a mathematical three-state model including negative, positive, and non-responsive states (NRS), but they are also compatible with a four-state model that includes distinct reversibly NRS and non-responsive permanently states (NRPS). Our mathematical model, termed NoRM (Non-Responsive Macrophage) model identifies similarities and differences between BMDM and RAW 264.7 cell responses. In both cell types, transition rates between states in the NoRM model are distinct for each of the tested proteins and, crucially, macrophage hypo-responsiveness is underpinned by changes in transition rates to and from NRS. Conclusions: Overall, we provide a mathematical model for studying macrophage ecology and community dynamics that can be used to elucidate the role of phenotypically negative macrophage populations in AIH and, primary and secondary responses to LPS.
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Affiliation(s)
- Shoumit Dey
- Hull York Medical School, University of York, York, UK
- Department of Biology, University of York, York, UK
- Department of Mathematics, University of York, York, UK
- York Biomedical Research Institute, University of York, York, UK
| | - Dave Boucher
- Department of Biology, University of York, York, UK
- York Biomedical Research Institute, University of York, York, UK
| | - Jon Pitchford
- Department of Biology, University of York, York, UK
- Department of Mathematics, University of York, York, UK
| | - Dimitris Lagos
- Hull York Medical School, University of York, York, UK
- York Biomedical Research Institute, University of York, York, UK
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35
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Wang M, Liang H, Chen X, Chen D, Wang J, Zhang Y, Chen J. Developments of Conventional and Microfluidic Flow Cytometry Enabling High-Throughput Characterization of Single Cells. BIOSENSORS 2022; 12:bios12070443. [PMID: 35884246 PMCID: PMC9313373 DOI: 10.3390/bios12070443] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 06/20/2022] [Accepted: 06/21/2022] [Indexed: 12/11/2022]
Abstract
This article first reviews scientific meanings of single-cell analysis by highlighting two key scientific problems: landscape reconstruction of cellular identities during dynamic immune processes and mechanisms of tumor origin and evolution. Secondly, the article reviews clinical demands of single-cell analysis, which are complete blood counting enabled by optoelectronic flow cytometry and diagnosis of hematologic malignancies enabled by multicolor fluorescent flow cytometry. Then, this article focuses on the developments of optoelectronic flow cytometry for the complete blood counting by comparing conventional counterparts of hematology analyzers (e.g., DxH 900 of Beckman Coulter, XN-1000 of Sysmex, ADVIA 2120i of Siemens, and CELL-DYN Ruby of Abbott) and microfluidic counterparts (e.g., microfluidic impedance and imaging flow cytometry). Future directions of optoelectronic flow cytometry are indicated where intrinsic rather than dependent biophysical parameters of blood cells must be measured, and they can replace blood smears as the gold standard of blood analysis in the near future.
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Affiliation(s)
- Minruihong Wang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China; (M.W.); (H.L.); (X.C.); (D.C.)
- School of Future Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hongyan Liang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China; (M.W.); (H.L.); (X.C.); (D.C.)
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiao Chen
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China; (M.W.); (H.L.); (X.C.); (D.C.)
- School of Future Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Deyong Chen
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China; (M.W.); (H.L.); (X.C.); (D.C.)
- School of Future Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Junbo Wang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China; (M.W.); (H.L.); (X.C.); (D.C.)
- School of Future Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
- Correspondence: (J.W.); (Y.Z.); (J.C.)
| | - Yuan Zhang
- Materials Genome Institute, Shanghai University, Shanghai 200444, China
- Correspondence: (J.W.); (Y.Z.); (J.C.)
| | - Jian Chen
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China; (M.W.); (H.L.); (X.C.); (D.C.)
- School of Future Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
- Correspondence: (J.W.); (Y.Z.); (J.C.)
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Tiemeijer BM, Tel J. Hydrogels for Single-Cell Microgel Production: Recent Advances and Applications. Front Bioeng Biotechnol 2022; 10:891461. [PMID: 35782502 PMCID: PMC9247248 DOI: 10.3389/fbioe.2022.891461] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 05/09/2022] [Indexed: 12/12/2022] Open
Abstract
Single-cell techniques have become more and more incorporated in cell biological research over the past decades. Various approaches have been proposed to isolate, culture, sort, and analyze individual cells to understand cellular heterogeneity, which is at the foundation of every systematic cellular response in the human body. Microfluidics is undoubtedly the most suitable method of manipulating cells, due to its small scale, high degree of control, and gentle nature toward vulnerable cells. More specifically, the technique of microfluidic droplet production has proven to provide reproducible single-cell encapsulation with high throughput. Various in-droplet applications have been explored, ranging from immunoassays, cytotoxicity assays, and single-cell sequencing. All rely on the theoretically unlimited throughput that can be achieved and the monodispersity of each individual droplet. To make these platforms more suitable for adherent cells or to maintain spatial control after de-emulsification, hydrogels can be included during droplet production to obtain “microgels.” Over the past years, a multitude of research has focused on the possibilities these can provide. Also, as the technique matures, it is becoming clear that it will result in advantages over conventional droplet approaches. In this review, we provide a comprehensive overview on how various types of hydrogels can be incorporated into different droplet-based approaches and provide novel and more robust analytic and screening applications. We will further focus on a wide range of recently published applications for microgels and how these can be applied in cell biological research at the single- to multicell scale.
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Affiliation(s)
- B. M. Tiemeijer
- Laboratory of Immunoengineering, Department of Biomedical Engineering, TU Eindhoven, Eindhoven, Netherlands
- Institute of Complex Molecular Systems, TU Eindhoven, Eindhoven, Netherlands
| | - J. Tel
- Laboratory of Immunoengineering, Department of Biomedical Engineering, TU Eindhoven, Eindhoven, Netherlands
- Institute of Complex Molecular Systems, TU Eindhoven, Eindhoven, Netherlands
- *Correspondence: J. Tel,
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37
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Gao QH, Wen B, Kang Y, Zhang WM. Pump-free microfluidic magnetic levitation approach for density-based cell characterization. Biosens Bioelectron 2022; 204:114052. [PMID: 35149454 DOI: 10.1016/j.bios.2022.114052] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 01/22/2022] [Accepted: 01/27/2022] [Indexed: 11/16/2022]
Abstract
Magnetic levitation (MagLev) provides a simple but promising method for density-based analysis and detection down to the individual cell level. However, each existing MagLev configuration for the single-cell density measurement, mainly consisting of a capillary (∼50 mm) placed between two magnets, yields a fairly low sample utilization because of no knowledge about the sample cells in the regions other than the limited microscope vision. Moreover, the quantitative analysis may be affected due to the unclearly defined measurement area, which is specifically associated with the uneven magnetization of magnets, cell size, degree of aggregation. In this work, we explore a pump-free microfluidic magnetic levitation approach for density-based cell characterization, enabling sensitive and effective cellular density measurement on small sample volumes. The microfluidic MagLev comprises a pump-free microfluidic chip placed between two ring magnets with like poles facing. With no external pumps, connectors or control facility, much smaller amounts of fluids (∼4 μL) could be driven automatically in the entire microchannel in 16 s. Based on the pump-free mechanism, unique density signatures of cells from different lineages (ARPE-19, HCT116, HeLa, HT1080, Huh7) are characterized by monitoring the levitation profiles. Furthermore, variation in density of A549 lung cancer cells subjected to a drug treatment are observed in our platform, allowing evaluation of the efficacy of the drug treatment at the individual cell level. Thereby, the proposed pump-free microfluidic MagLev platform, a low-cost, fully automatic and portable design for label-free density-based cell characterization, provides a universal detection tool that operates efficiently within small-volume environments.
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Affiliation(s)
- Qiu-Hua Gao
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Baiqing Wen
- School of Biomedical Engineering, Bio-ID Center, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Yani Kang
- School of Biomedical Engineering, Bio-ID Center, Shanghai Jiao Tong University, Shanghai, 200240, China.
| | - Wen-Ming Zhang
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
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38
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Dey S, Boucher D, Pitchford J, Lagos D. Mathematical modelling of activation-induced heterogeneity in TNF, IL6, NOS2, and IL1β expression reveals cell state transitions underpinning macrophage responses to LPS. Wellcome Open Res 2022; 7:29. [DOI: 10.12688/wellcomeopenres.17557.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/19/2022] [Indexed: 11/20/2022] Open
Abstract
Background: Despite extensive work on macrophage heterogeneity, the mechanisms driving activation induced heterogeneity (AIH) in macrophages remain poorly understood. Here, we aimed to develop mathematical models to explore theoretical cellular states underpinning the empirically observed responses of macrophages following lipopolysaccharide (LPS) challenge. Methods: We obtained empirical data following primary and secondary responses to LPS in two in vitro cellular models (bone marrow-derived macrophages or BMDMs, and RAW 264.7 cells) and single-cell protein measurements for four key inflammatory mediators: TNF, IL-6, pro-IL-1β, and NOS2, and used mathematical modelling to understand heterogeneity. Results: For these four factors, we showed that macrophage community AIH is dependent on LPS dose and that altered AIH kinetics in macrophages responding to a second LPS challenge underpin hypo-responsiveness to LPS. These empirical data can be explained by a mathematical three-state model including negative, positive, and non-responsive states (NRS), but they are also compatible with a four-state model that includes distinct reversibly NRS and non-responsive permanently states (NRPS). Our mathematical model, termed NoRM (Non-Responsive Macrophage) model identifies similarities and differences between BMDM and RAW 264.7 cell responses. In both cell types, transition rates between states in the NoRM model are distinct for each of the tested proteins and, crucially, macrophage hypo-responsiveness is underpinned by changes in transition rates to and from NRS. Conclusions: Overall, we provide a mathematical model for studying macrophage ecology and community dynamics that can be used to elucidate the role of phenotypically negative macrophage populations in AIH and, primary and secondary responses to LPS.
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39
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Tate AT, Van Cleve J. Bet-hedging in innate and adaptive immune systems. Evol Med Public Health 2022; 10:256-265. [PMID: 35712085 PMCID: PMC9195227 DOI: 10.1093/emph/eoac021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 05/18/2022] [Indexed: 11/13/2022] Open
Abstract
Immune system evolution is shaped by the fitness costs and trade-offs associated with mounting an immune response. Costs that arise mainly as a function of the magnitude of investment, including energetic and immunopathological costs, are well-represented in studies of immune system evolution. Less well considered, however, are the costs of immune cell plasticity and specialization. Hosts in nature encounter a large diversity of microbes and parasites that require different and sometimes conflicting immune mechanisms for defense, but it takes precious time to recognize and correctly integrate signals for an effective polarized response. In this perspective, we propose that bet-hedging can be a viable alternative to plasticity in immune cell effector function, discuss conditions under which bet-hedging is likely to be an advantageous strategy for different arms of the immune system, and present cases from both innate and adaptive immune systems that suggest bet-hedging at play.
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Affiliation(s)
- Ann T Tate
- Department of Biological Sciences, Vanderbilt University , 465 21st Ave S. , Nashville, TN 37232, USA
- Vanderbilt Institute for Infection, Immunology, and Inflammation , Nashville, TN, USA
- Evolutionary Studies Institute, Vanderbilt University , Nashville, TN, USA
| | - Jeremy Van Cleve
- Department of Biology, University of Kentucky , 101 T.H. Morgan Building , Lexington, KY 40506, USA
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40
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Buttler CA, Chuong EB. Emerging roles for endogenous retroviruses in immune epigenetic regulation. Immunol Rev 2022; 305:165-178. [PMID: 34816452 PMCID: PMC8766910 DOI: 10.1111/imr.13042] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Revised: 10/21/2021] [Accepted: 11/12/2021] [Indexed: 01/03/2023]
Abstract
In recent years, there has been significant progress toward understanding the transcriptional networks underlying mammalian immune responses, fueled by advances in regulatory genomic technologies. Epigenomic studies profiling immune cells have generated detailed genome-wide maps of regulatory elements that will be key to deciphering the regulatory networks underlying cellular immune responses and autoimmune disorders. Unbiased analyses of these genomic maps have uncovered endogenous retroviruses as an unexpected ally in the regulation of human immune systems. Despite their parasitic origins, studies are finding an increasing number of examples of retroviral sequences having been co-opted for beneficial immune function and regulation by the host cell. Here, we review how endogenous retroviruses have given rise to numerous regulatory elements that shape the epigenetic landscape of host immune responses. We will discuss the implications of these elements on the function, dysfunction, and evolution of innate immunity.
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41
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Zhao X, Karpac J. Glutamate metabolism directs energetic trade-offs to shape host-pathogen susceptibility in Drosophila. Cell Metab 2021; 33:2428-2444.e8. [PMID: 34710355 PMCID: PMC9153082 DOI: 10.1016/j.cmet.2021.10.003] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 07/26/2021] [Accepted: 10/04/2021] [Indexed: 12/27/2022]
Abstract
Individual hosts within populations often show inter-individual variation in their susceptibility to bacterial pathogen-related diseases. Utilizing Drosophila, we highlight that phenotypic variation in host-pathogen susceptibility within populations is driven by energetic trade-offs, facilitated by infection-mediated changes in glutamate metabolism. Furthermore, host-pathogen susceptibility is conditioned by life history, which adjusts immunometabolic sensing in muscles to direct vitamin-dependent reallocation of host energy substrates from the adipose tissue (i.e., a muscle-adipose tissue axis). Life history conditions inter-individual variation in the activation strength of intra-muscular NF-κB signaling. Limited intra-muscular NF-κB signaling activity allows for enhanced infection-mediated mitochondrial biogenesis and function, which stimulates glutamate dehydrogenase-dependent synthesis of glutamate. Muscle-derived glutamate acts as a systemic metabolite to promote lipid mobilization through modulating vitamin B enzymatic cofactor transport and function in the adipose tissue. This energy substrate reallocation improves pathogen clearance and boosts host survival. Finally, life history events that adjust energetic trade-offs can shape inter-individual variation in host-pathogen susceptibility after infection.
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Affiliation(s)
- Xiao Zhao
- Department of Molecular and Cellular Medicine, Texas A&M University, College of Medicine, Bryan, TX 77807, USA
| | - Jason Karpac
- Department of Molecular and Cellular Medicine, Texas A&M University, College of Medicine, Bryan, TX 77807, USA.
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42
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Patel P, Drayman N, Liu P, Bilgic M, Tay S. Computer vision reveals hidden variables underlying NF-κB activation in single cells. SCIENCE ADVANCES 2021; 7:eabg4135. [PMID: 34678061 PMCID: PMC8535821 DOI: 10.1126/sciadv.abg4135] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 09/02/2021] [Indexed: 05/31/2023]
Abstract
Individual cells are heterogeneous when responding to environmental cues. Under an external signal, certain cells activate gene regulatory pathways, while others completely ignore that signal. Mechanisms underlying cellular heterogeneity are often inaccessible because experiments needed to study molecular states destroy the very states that we need to examine. Here, we developed an image-based support vector machine learning model to uncover variables controlling activation of the immune pathway nuclear factor κB (NF-κB). Computer vision analysis predicts the identity of cells that will respond to cytokine stimulation and shows that activation is predetermined by minute amounts of “leaky” NF-κB (p65:p50) localization to the nucleus. Mechanistic modeling revealed that the ratio of NF-κB to inhibitor of NF-κB predetermines leakiness and activation probability of cells. While cells transition between molecular states, they maintain their overall probabilities for NF-κB activation. Our results demonstrate how computer vision can find mechanisms behind heterogeneous single-cell activation under proinflammatory stimuli.
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Affiliation(s)
- Parthiv Patel
- Pritzker School of Molecular Engineering, The University of Chicago, Chicago, IL, USA
- Institute for Genomics and Systems Biology, The University of Chicago, Chicago, IL, USA
| | - Nir Drayman
- Pritzker School of Molecular Engineering, The University of Chicago, Chicago, IL, USA
- Institute for Genomics and Systems Biology, The University of Chicago, Chicago, IL, USA
| | - Ping Liu
- Department of Computer Science, Illinois Institute of Technology, Chicago, IL, USA
| | - Mustafa Bilgic
- Department of Computer Science, Illinois Institute of Technology, Chicago, IL, USA
| | - Savaş Tay
- Pritzker School of Molecular Engineering, The University of Chicago, Chicago, IL, USA
- Institute for Genomics and Systems Biology, The University of Chicago, Chicago, IL, USA
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43
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Gerard CL, Delyon J, Wicky A, Homicsko K, Cuendet MA, Michielin O. Turning tumors from cold to inflamed to improve immunotherapy response. Cancer Treat Rev 2021; 101:102227. [PMID: 34656019 DOI: 10.1016/j.ctrv.2021.102227] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 05/13/2021] [Accepted: 05/15/2021] [Indexed: 12/30/2022]
Abstract
Immune checkpoint inhibitors have revolutionized the treatment landscape for a number of cancers over the last few decades. Nevertheless, a majority of patients still do not benefit from these treatments. Such patient-specific lack of response can be predicted, in part, from the immune phenotypes present in the tumor microenvironment. We provide a perspective on options to reprogram the tumors and their microenvironment to increase the therapeutic efficacy of immunotherapies and expand their efficacy against cold tumors. Additionally, we review data from current preclinical and clinical trials aimed at testing the different therapeutic options in monotherapy or preferably in combination with checkpoint inhibitors.
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Affiliation(s)
- C L Gerard
- Precision Oncology Center, Lausanne University Hospital (CHUV), Switzerland
| | - J Delyon
- Precision Oncology Center, Lausanne University Hospital (CHUV), Switzerland
| | - A Wicky
- Precision Oncology Center, Lausanne University Hospital (CHUV), Switzerland
| | - K Homicsko
- Precision Oncology Center, Lausanne University Hospital (CHUV), Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland
| | - Michel A Cuendet
- Precision Oncology Center, Lausanne University Hospital (CHUV), Switzerland; Molecular Modelling Group, Swiss Institute of Bioinformatics, Lausanne, Switzerland; Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA.
| | - O Michielin
- Precision Oncology Center, Lausanne University Hospital (CHUV), Switzerland; Molecular Modelling Group, Swiss Institute of Bioinformatics, Lausanne, Switzerland.
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44
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Tiemeijer BM, Sweep MWD, Sleeboom JJF, Steps KJ, van Sprang JF, De Almeida P, Hammink R, Kouwer PHJ, Smits AIPM, Tel J. Probing Single-Cell Macrophage Polarization and Heterogeneity Using Thermo-Reversible Hydrogels in Droplet-Based Microfluidics. Front Bioeng Biotechnol 2021; 9:715408. [PMID: 34722475 PMCID: PMC8552120 DOI: 10.3389/fbioe.2021.715408] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 09/28/2021] [Indexed: 12/11/2022] Open
Abstract
Human immune cells intrinsically exist as heterogenous populations. To understand cellular heterogeneity, both cell culture and analysis should be executed with single-cell resolution to eliminate juxtacrine and paracrine interactions, as these can lead to a homogenized cell response, obscuring unique cellular behavior. Droplet microfluidics has emerged as a potent tool to culture and stimulate single cells at high throughput. However, when studying adherent cells at single-cell level, it is imperative to provide a substrate for the cells to adhere to, as suspension culture conditions can negatively affect biological function and behavior. Therefore, we combined a droplet-based microfluidic platform with a thermo-reversible polyisocyanide (PIC) hydrogel, which allowed for robust droplet formation at low temperatures, whilst ensuring catalyzer-free droplet gelation and easy cell recovery after culture for downstream analysis. With this approach, we probed the heterogeneity of highly adherent human macrophages under both pro-inflammatory M1 and anti-inflammatory M2 polarization conditions. We showed that co-encapsulation of multiple cells enhanced cell polarization compared to single cells, indicating that cellular communication is a potent driver of macrophage polarization. Additionally, we highlight that culturing single macrophages in PIC hydrogel droplets displayed higher cell viability and enhanced M2 polarization compared to single macrophages cultured in suspension. Remarkably, combining phenotypical and functional analysis on single cultured macrophages revealed a subset of cells in a persistent M1 state, which were undetectable in conventional bulk cultures. Taken together, combining droplet-based microfluidics with hydrogels is a versatile and powerful tool to study the biological function of adherent cell types at single-cell resolution with high throughput.
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Affiliation(s)
- B. M. Tiemeijer
- Laboratory of Immunoengineering, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
- Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, Netherlands
| | - M. W. D. Sweep
- Laboratory of Immunoengineering, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
- Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, Netherlands
| | - J. J. F. Sleeboom
- Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, Netherlands
- Microsystems, Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
- Laboratory of Soft Tissue Engineering and Biomechanics, Department Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
| | - K. J. Steps
- Laboratory of Immunoengineering, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
- Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, Netherlands
| | - J. F. van Sprang
- Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, Netherlands
- Laboratory of Soft Tissue Engineering and Biomechanics, Department Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
- Laboratory of Chemical Biology, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
| | - P. De Almeida
- Department of System Chemistry, Institute for Molecules and Materials, Radboud University, Nijmegen, Netherlands
| | - R. Hammink
- Department of Tumor Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, Netherlands
- Oncode Institute, Radboud University Medical Center, Nijmegen, Netherlands
| | - P. H. J. Kouwer
- Department of System Chemistry, Institute for Molecules and Materials, Radboud University, Nijmegen, Netherlands
| | - A. I. P. M. Smits
- Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, Netherlands
- Laboratory of Soft Tissue Engineering and Biomechanics, Department Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
| | - J. Tel
- Laboratory of Immunoengineering, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
- Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, Netherlands
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Stimulus-specific responses in innate immunity: Multilayered regulatory circuits. Immunity 2021; 54:1915-1932. [PMID: 34525335 DOI: 10.1016/j.immuni.2021.08.018] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 03/07/2021] [Accepted: 08/16/2021] [Indexed: 12/24/2022]
Abstract
Immune sentinel cells initiate immune responses to pathogens and tissue injury and are capable of producing highly stimulus-specific responses. Insight into the mechanisms underlying such specificity has come from the identification of regulatory factors and biochemical pathways, as well as the definition of signaling circuits that enable combinatorial and temporal coding of information. Here, we review the multi-layered molecular mechanisms that underlie stimulus-specific gene expression in macrophages. We categorize components of inflammatory and anti-pathogenic signaling pathways into five layers of regulatory control and discuss unifying mechanisms determining signaling characteristics at each layer. In this context, we review mechanisms that enable combinatorial and temporal encoding of information, identify recurring regulatory motifs and principles, and present strategies for integrating experimental and computational approaches toward the understanding of signaling specificity in innate immunity.
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Cho SY, Koman VB, Gong X, Moon SJ, Gordiichuk P, Strano MS. Nanosensor Chemical Cytometry for Characterizing the Efflux Heterogeneity of Nitric Oxide from Macrophages. ACS NANO 2021; 15:13683-13691. [PMID: 34398614 DOI: 10.1021/acsnano.1c04958] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Macrophages are a critical part of the human immune response, and their collective heterogeneity is implicated in disease progression and prevention. A nondestructive, label-free tool does not currently exist for profiling the dynamic, antigenic responses of single macrophages in a collection to correlate with specific molecular expression and correlated biophysical properties at the cellular level, despite the potential for diagnosis and therapeutics. Herein, we develop a nanosensor chemical cytometry (NCC) that can profile the heterogeneity of inducible nitric oxide synthase (iNOS) responses from macrophage populations. By integrating a near-infrared (nIR) fluorescent nanosensor array and collagen layer with microfluidics, the cellular lensing effect of the macrophage was utilized to characterize both nitric oxide (NO) efflux and refractive index (RI) changes at a single-cell level. Using a parallel, multichannel approach, distinct iNOS heterogeneities of macrophages can be monitored at an attomolar (10-18 mol) sensitivity in a nondestructive and real-time manner with a throughput of exceeding the 200 cells/frame. We demonstrate that estimated mean NO efflux rates of macrophage populations are elevated from 342 (σ = 199) to 464 (σ = 206) attomol/cell·hr with a 3% larger increase in the heterogeneity, and estimated RI of macrophage decrease from 1.366 (σ = 0.015) to 1.359 (σ = 0.009) with trimodal subpopulations under lipopolysaccharide (LPS) activation. These measured values are also in good agreement with Griess assay results and previously reported measurements. This work provides an efficient strategy for single-cell analysis of macrophage populations for cellular manufacturing and biopharmaceutical engineering.
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Affiliation(s)
- Soo-Yeon Cho
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Volodymyr B Koman
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Xun Gong
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Sun Jin Moon
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Pavlo Gordiichuk
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Michael S Strano
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
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47
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An automated real-time microfluidic platform to probe single NK cell heterogeneity and cytotoxicity on-chip. Sci Rep 2021; 11:17084. [PMID: 34429486 PMCID: PMC8385055 DOI: 10.1038/s41598-021-96609-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 08/03/2021] [Indexed: 12/28/2022] Open
Abstract
Cytotoxicity is a vital effector mechanism used by immune cells to combat pathogens and cancer cells. While conventional cytotoxicity assays rely on averaged end-point measures, crucial insights on the dynamics and heterogeneity of effector and target cell interactions cannot be extracted, emphasizing the need for dynamic single-cell analysis. Here, we present a fully automated droplet-based microfluidic platform that allowed the real-time monitoring of effector-target cell interactions and killing, allowing the screening of over 60,000 droplets identifying 2000 individual cellular interactions monitored over 10 h. During the course of incubation, we observed that the dynamics of cytotoxicity within the Natural Killer (NK) cell population varies significantly over the time. Around 20% of the total NK cells in droplets showed positive cytotoxicity against paired K562 cells, most of which was exhibited within first 4 h of cellular interaction. Using our single cell analysis platform, we demonstrated that the population of NK cells is composed of individual cells with different strength in their effector functions, a behavior masked in conventional studies. Moreover, the versatility of our platform will allow the dynamic and resolved study of interactions between immune cell types and the finding and characterization of functional sub-populations, opening novel ways towards both fundamental and translational research.
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48
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Tans R, Dey S, Dey NS, Calder G, O’Toole P, Kaye PM, Heeren RMA. Spatially Resolved Immunometabolism to Understand Infectious Disease Progression. Front Microbiol 2021; 12:709728. [PMID: 34489899 PMCID: PMC8418271 DOI: 10.3389/fmicb.2021.709728] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 07/30/2021] [Indexed: 12/13/2022] Open
Abstract
Infectious diseases, including those of viral, bacterial, fungal, and parasitic origin are often characterized by focal inflammation occurring in one or more distinct tissues. Tissue-specific outcomes of infection are also evident in many infectious diseases, suggesting that the local microenvironment may instruct complex and diverse innate and adaptive cellular responses resulting in locally distinct molecular signatures. In turn, these molecular signatures may both drive and be responsive to local metabolic changes in immune as well as non-immune cells, ultimately shaping the outcome of infection. Given the spatial complexity of immune and inflammatory responses during infection, it is evident that understanding the spatial organization of transcripts, proteins, lipids, and metabolites is pivotal to delineating the underlying regulation of local immunity. Molecular imaging techniques like mass spectrometry imaging and spatially resolved, highly multiplexed immunohistochemistry and transcriptomics can define detailed metabolic signatures at the microenvironmental level. Moreover, a successful complementation of these two imaging techniques would allow multi-omics analyses of inflammatory microenvironments to facilitate understanding of disease pathogenesis and identify novel targets for therapeutic intervention. Here, we describe strategies for downstream data analysis of spatially resolved multi-omics data and, using leishmaniasis as an exemplar, describe how such analysis can be applied in a disease-specific context.
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Affiliation(s)
- Roel Tans
- Division of Imaging Mass Spectrometry, Maastricht Multimodal Molecular Imaging (M4I) Institute, Maastricht University, Maastricht, Netherlands
| | - Shoumit Dey
- Hull York Medical School, York Biomedical Research Institute, University of York, York, United Kingdom
| | - Nidhi Sharma Dey
- Hull York Medical School, York Biomedical Research Institute, University of York, York, United Kingdom
| | - Grant Calder
- Department of Biology, University of York, York, United Kingdom
| | - Peter O’Toole
- Department of Biology, University of York, York, United Kingdom
| | - Paul M. Kaye
- Hull York Medical School, York Biomedical Research Institute, University of York, York, United Kingdom
| | - Ron M. A. Heeren
- Division of Imaging Mass Spectrometry, Maastricht Multimodal Molecular Imaging (M4I) Institute, Maastricht University, Maastricht, Netherlands
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Khan NS, Pradhan D, Choudhary S, Saxena P, Poddar NK, Jain AK. Immunoassay-based approaches for development of screening of chlorpyrifos. J Anal Sci Technol 2021. [DOI: 10.1186/s40543-021-00282-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
AbstractChlorpyrifos (CPF) is an extensively used organophosphate pesticide for crop protection. However, there are concerns of it contaminating the environment and human health with estimated three lakh deaths annually. Detection of CPF in blood samples holds significance to avoid severe health outcomes due to continuous exposure. The most common techniques for CPF detection are Gas chromatography (GC) and high-performance liquid chromatography (HPLC). However, these techniques might not be feasible at the community healthcare level due to high-cost instrumentation, time-consuming sample preparation protocol and skilled analysts. Therefore, rapid, effective and economical methods such as immunoassay would be imperative for CPF detection in biological samples. The vital step in immunoassay development is the design of a potent immunogen from non-immunogenic molecules. The molecular modelling protocol could assist in redesigning known CPF linkers and inserting them at different substitutable positions of CPF to get distinctive CPF derivatives. Molecular docking and binding free energy analysis can be used to identify the CPF derivatives having a better binding affinity with carrier protein compared to CPF. The top-ranked CPF derivatives based on docking score and binding energy could be ideal for synthesis and immunogen development. The present review will comprehend technological trends in immunoassay kits for detecting chlorpyrifos from biological samples.
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50
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ImmunoPET of CD38 with a radiolabeled nanobody: promising for clinical translation. Eur J Nucl Med Mol Imaging 2021; 48:2683-2686. [PMID: 33942140 DOI: 10.1007/s00259-021-05329-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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