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George AF, Roan NR. Advances in HIV Research Using Mass Cytometry. Curr HIV/AIDS Rep 2023; 20:76-85. [PMID: 36689119 PMCID: PMC9869313 DOI: 10.1007/s11904-023-00649-x] [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] [Accepted: 01/09/2023] [Indexed: 01/24/2023]
Abstract
PURPOSE OF REVIEW This review describes how advances in CyTOF and high-dimensional analysis methods have furthered our understanding of HIV transmission, pathogenesis, persistence, and immunity. RECENT FINDINGS CyTOF has generated important insight on several aspects of HIV biology: (1) the differences between cells permissive to productive vs. latent HIV infection, and the HIV-induced remodeling of infected cells; (2) factors that contribute to the persistence of the long-term HIV reservoir, in both blood and tissues; and (3) the impact of HIV on the immune system, in the context of both uncontrolled and controlled infection. CyTOF and high-dimensional analysis tools have enabled in-depth assessment of specific host antigens remodeled by HIV, and have revealed insights into the features of HIV-infected cells enabling them to survive and persist, and of the immune cells that can respond to and potentially control HIV replication. CyTOF and other related high-dimensional phenotyping approaches remain powerful tools for translational research, and applied HIV to cohort studies can inform on mechanisms of HIV pathogenesis and persistence, and potentially identify biomarkers for viral eradication or control.
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Affiliation(s)
- Ashley F George
- Gladstone Institute of Virology, Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Urology, University of California at San Francisco, San Francisco, CA, 94143, USA
| | - Nadia R Roan
- Gladstone Institute of Virology, Gladstone Institutes, San Francisco, CA, 94158, USA.
- Department of Urology, University of California at San Francisco, San Francisco, CA, 94143, USA.
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2
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Lee MJ, Leong MW, Rustagi A, Beck A, Zeng L, Holmes S, Qi LS, Blish CA. SARS-CoV-2 escapes direct NK cell killing through Nsp1-mediated downregulation of ligands for NKG2D. Cell Rep 2022; 41:111892. [PMID: 36543165 PMCID: PMC9742201 DOI: 10.1016/j.celrep.2022.111892] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 11/09/2022] [Accepted: 12/05/2022] [Indexed: 12/14/2022] Open
Abstract
Natural killer (NK) cells are cytotoxic effector cells that target and lyse virally infected cells; many viruses therefore encode mechanisms to escape such NK cell killing. Here, we interrogate the ability of SARS-CoV-2 to modulate NK cell recognition and lysis of infected cells. We find that NK cells exhibit poor cytotoxic responses against SARS-CoV-2-infected targets, preferentially killing uninfected bystander cells. We demonstrate that this escape is driven by downregulation of ligands for the activating receptor NKG2D (NKG2D-L). Indeed, early in viral infection, prior to NKG2D-L downregulation, NK cells are able to target and kill infected cells; however, this ability is lost as viral proteins are expressed. Finally, we find that SARS-CoV-2 non-structural protein 1 (Nsp1) mediates downregulation of NKG2D-L and that Nsp1 alone is sufficient to confer resistance to NK cell killing. Collectively, our work demonstrates that SARS-CoV-2 evades direct NK cell cytotoxicity and describes a mechanism by which this occurs.
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Affiliation(s)
- Madeline J Lee
- Stanford Immunology Program, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Michelle W Leong
- Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Arjun Rustagi
- Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Aimee Beck
- Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Leiping Zeng
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Susan Holmes
- Department of Statistics, Stanford University, Stanford, CA 94305, USA
| | - Lei S Qi
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA; Sarafan Chem-H, Stanford University, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94157, USA
| | - Catherine A Blish
- Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94157, USA; Stanford Medical Scientist Training Program, Stanford University School of Medicine, Stanford, CA 94305, USA.
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3
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Alrubayyi A, Rowland-Jones S, Peppa D. Natural killer cells during acute HIV-1 infection: clues for HIV-1 prevention and therapy. AIDS 2022; 36:1903-1915. [PMID: 35851334 PMCID: PMC9612724 DOI: 10.1097/qad.0000000000003319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 06/01/2022] [Accepted: 06/07/2022] [Indexed: 11/27/2022]
Abstract
Despite progress in preexposure prophylaxis, the number of newly diagnosed cases with HIV-1 remains high, highlighting the urgent need for preventive and therapeutic strategies to reduce HIV-1 acquisition and limit disease progression. Early immunological events, occurring during acute infection, are key determinants of the outcome and course of disease. Understanding early immune responses occurring before viral set-point is established, is critical to identify potential targets for prophylactic and therapeutic approaches. Natural killer (NK) cells represent a key cellular component of innate immunity and contribute to the early host defence against HIV-1 infection, modulating the pathogenesis of acute HIV-1 infection (AHI). Emerging studies have identified tools for harnessing NK cell responses and expanding specialized NK subpopulations with adaptive/memory features, paving the way for development of novel HIV-1 therapeutics. This review highlights the knowns and unknowns regarding the role of NK cell subsets in the containment of acute HIV-1 infection, and summarizes recent advances in selectively augmenting NK cell functions through prophylactic and therapeutic interventions.
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Affiliation(s)
- Aljawharah Alrubayyi
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford
- Division of Infection and Immunity, University College London
| | | | - Dimitra Peppa
- Division of Infection and Immunity, University College London
- Mortimer Market Centre, Department of HIV, CNWL NHS Trust, London, UK
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Kroll KW, Shah SV, Lucar OA, Premeaux TA, Shikuma CM, Corley MJ, Mosher M, Woolley G, Bowler S, Ndhlovu LC, Reeves RK. Mucosal-homing natural killer cells are associated with aging in persons living with HIV. Cell Rep Med 2022; 3:100773. [PMID: 36208628 PMCID: PMC9589002 DOI: 10.1016/j.xcrm.2022.100773] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 06/29/2022] [Accepted: 09/16/2022] [Indexed: 11/07/2022]
Abstract
Natural killer (NK) cells are critical modulators of HIV transmission and disease. Recent evidence suggests a loss of NK cell cytotoxicity during aging, yet analysis of NK cell biology and aging in people with HIV (PWH) is lacking. Herein, we perform comprehensive analyses of people aging with and without HIV to determine age-related NK phenotypic changes. Utilizing high-dimensional flow cytometry, we analyze 30 immune-related proteins on peripheral NK cells from healthy donors, PWH with viral suppression, and viremic PWH. NK cell phenotypes are dynamic across aging but change significantly in HIV and on antiretroviral drug therapy (ART). NK cells in healthy aging show increasing ⍺4β7 and decreasing CCR7 expression and a reverse phenomenon in PWH. These HIV-associated trafficking patterns could be due to NK cell recruitment to HIV reservoir formation in lymphoid tissue or failed mucosal signaling in the HIV-infected gut but appear to be tight delineators of age-related NK cell changes.
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Affiliation(s)
- Kyle W Kroll
- Division of Innate and Comparative Immunology, Center for Human Systems Immunology, Duke University, Durham, NC, USA; Department of Surgery, Duke University, Durham, NC, USA
| | - Spandan V Shah
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Olivier A Lucar
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Thomas A Premeaux
- Department of Medicine, Division of Infectious Diseases, Weill Cornell Medicine, New York City, NY, USA
| | | | - Michael J Corley
- Department of Medicine, Division of Infectious Diseases, Weill Cornell Medicine, New York City, NY, USA
| | - Matthew Mosher
- Division of Innate and Comparative Immunology, Center for Human Systems Immunology, Duke University, Durham, NC, USA; Department of Surgery, Duke University, Durham, NC, USA
| | - Griffin Woolley
- Division of Innate and Comparative Immunology, Center for Human Systems Immunology, Duke University, Durham, NC, USA; Department of Surgery, Duke University, Durham, NC, USA
| | - Scott Bowler
- Department of Medicine, Division of Infectious Diseases, Weill Cornell Medicine, New York City, NY, USA
| | - Lishomwa C Ndhlovu
- Department of Medicine, Division of Infectious Diseases, Weill Cornell Medicine, New York City, NY, USA
| | - R Keith Reeves
- Division of Innate and Comparative Immunology, Center for Human Systems Immunology, Duke University, Durham, NC, USA; Department of Surgery, Duke University, Durham, NC, USA; Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, MA, USA.
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5
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Quintelier K, Couckuyt A, Emmaneel A, Aerts J, Saeys Y, Van Gassen S. Analyzing high-dimensional cytometry data using FlowSOM. Nat Protoc 2021; 16:3775-3801. [PMID: 34172973 DOI: 10.1038/s41596-021-00550-0] [Citation(s) in RCA: 72] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 03/31/2021] [Indexed: 02/06/2023]
Abstract
The dimensionality of cytometry data has strongly increased in the last decade, and in many situations the traditional manual downstream analysis becomes insufficient. The field is therefore slowly moving toward more automated approaches, and in this paper we describe the protocol for analyzing high-dimensional cytometry data using FlowSOM, a clustering and visualization algorithm based on a self-organizing map. FlowSOM is used to distinguish cell populations from cytometry data in an unsupervised way and can help to gain deeper insights in fields such as immunology and oncology. Since the original FlowSOM publication (2015), we have validated the tool on a wide variety of datasets, and to write this protocol, we made use of this experience to improve the user-friendliness of the package (e.g., comprehensive functions replacing commonly required scripts). Where the original paper focused mainly on the algorithm description, this protocol offers user guidelines on how to implement the procedure, detailed parameter descriptions and troubleshooting recommendations. The protocol provides clearly annotated R code, and is therefore relevant for all scientists interested in computational high-dimensional analyses without requiring a strong bioinformatics background. We demonstrate the complete workflow, starting from data preparation (such as compensation, transformation and quality control), including detailed discussion of the different FlowSOM parameters and visualization options, and concluding with how the results can be further used to answer biological questions, such as statistical comparison between groups of interest. An average FlowSOM analysis takes 1-3 h to complete, though quality issues can increase this time considerably.
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Affiliation(s)
- Katrien Quintelier
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.,Data Mining and Modeling for Biomedicine Group, VIB Center for Inflammation Research, Ghent, Belgium.,Department of Pulmonary Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Artuur Couckuyt
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.,Data Mining and Modeling for Biomedicine Group, VIB Center for Inflammation Research, Ghent, Belgium
| | - Annelies Emmaneel
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.,Data Mining and Modeling for Biomedicine Group, VIB Center for Inflammation Research, Ghent, Belgium
| | - Joachim Aerts
- Department of Pulmonary Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Yvan Saeys
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.,Data Mining and Modeling for Biomedicine Group, VIB Center for Inflammation Research, Ghent, Belgium
| | - Sofie Van Gassen
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium. .,Data Mining and Modeling for Biomedicine Group, VIB Center for Inflammation Research, Ghent, Belgium.
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Zhang T, Warden AR, Li Y, Ding X. Progress and applications of mass cytometry in sketching immune landscapes. Clin Transl Med 2020; 10:e206. [PMID: 33135337 PMCID: PMC7556381 DOI: 10.1002/ctm2.206] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 09/28/2020] [Accepted: 09/28/2020] [Indexed: 12/16/2022] Open
Abstract
Recently emerged mass cytometry (cytometry by time-of-flight [CyTOF]) technology permits the identification and quantification of inherently diverse cellular systems, and the simultaneous measurement of functional attributes at the single-cell resolution. By virtue of its multiplex ability with limited need for compensation, CyTOF has led a critical role in immunological research fields. Here, we present an overview of CyTOF, including the introduction of CyTOF principle and advantages that make it a standalone tool in deciphering immune mysteries. We then discuss the functional assays, introduce the bioinformatics to interpret the data yield via CyTOF, and depict the emerging clinical and research applications of CyTOF technology in sketching immune landscape in a wide variety of diseases.
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Affiliation(s)
- Ting Zhang
- State Key laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina
| | - Antony R. Warden
- State Key laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina
| | - Yiyang Li
- State Key laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina
| | - Xianting Ding
- State Key laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina
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Zhao NQ, Vendrame E, Ferreira AM, Seiler C, Ranganath T, Alary M, Labbé AC, Guédou F, Poudrier J, Holmes S, Roger M, Blish CA. Natural killer cell phenotype is altered in HIV-exposed seronegative women. PLoS One 2020; 15:e0238347. [PMID: 32870938 PMCID: PMC7462289 DOI: 10.1371/journal.pone.0238347] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Accepted: 08/14/2020] [Indexed: 12/17/2022] Open
Abstract
Highly exposed seronegative (HESN) individuals present a unique setting to study mechanisms of protection against HIV acquisition. As natural killer (NK) cell activation and function have been implicated as a correlate of protection in HESN individuals, we sought to better understand the features of NK cells that may confer protection. We used mass cytometry to phenotypically profile NK cells from a cohort of Beninese sex workers and healthy controls. We found that NK cells from HESN women had increased expression of NKG2A, NKp30 and LILRB1, as well as the Fc receptor CD16, and decreased expression of DNAM-1, CD94, Siglec-7, and NKp44. Using functional assessments of NK cells from healthy donors against autologous HIV-infected CD4+ T cells, we observed that NKp30+ and Siglec-7+ cells had improved functional activity. Further, we found that NK cells from HESN women trended towards increased antibody-dependent cellular cytotoxicity (ADCC) activity; this activity correlated with increased CD16 expression. Overall, we identify features of NK cells in HESN women that may contribute to protection from HIV infection. Follow up studies with larger cohorts are warranted to confirm these findings.
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Affiliation(s)
- Nancy Q. Zhao
- Department of Medicine, Division of Infection Diseases and Geographic Medicine, Stanford University, Stanford, CA, United States of America
- Immunology Program, Stanford University, Stanford, CA, United States of America
| | - Elena Vendrame
- Department of Medicine, Division of Infection Diseases and Geographic Medicine, Stanford University, Stanford, CA, United States of America
| | - Anne-Maud Ferreira
- Department of Statistics, Stanford University, Stanford, CA, United States of America
| | - Christof Seiler
- Department of Statistics, Stanford University, Stanford, CA, United States of America
| | - Thanmayi Ranganath
- Department of Medicine, Division of Infection Diseases and Geographic Medicine, Stanford University, Stanford, CA, United States of America
| | - Michel Alary
- Centre de Recherche du CHU de Québec–Université Laval, Québec, Canada, Département de Médecine Sociale et Préventive, Université Laval, Québec, Canada, Institut National de Santé Publique du Québec, Québec, Canada
| | - Annie-Claude Labbé
- Département de Microbiologie, Infectiologie et Immunologie de l‘Université de Montréal, Montréal, Canada, Service de maladies infectieuses et microbiologie, Hôpital Maisonneuve-Rosemont, Montréal, Canada
| | | | - Johanne Poudrier
- Laboratoire d’Immunogénétique, Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montréal, Canada, Département de Microbiologie, Infectiologie et Immunologie de l‘Université de Montréal, Montréal, Canada
| | - Susan Holmes
- Department of Statistics, Stanford University, Stanford, CA, United States of America
| | - Michel Roger
- Laboratoire d’Immunogénétique, Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montréal, Canada, Département de Microbiologie, Infectiologie et Immunologie de l‘Université de Montréal, Montréal, Canada
- * E-mail: (CAB); (MR)
| | - Catherine A. Blish
- Department of Medicine, Division of Infection Diseases and Geographic Medicine, Stanford University, Stanford, CA, United States of America
- Immunology Program, Stanford University, Stanford, CA, United States of America
- Chan Zuckerberg Biohub, San Francisco, CA, United States of America
- * E-mail: (CAB); (MR)
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Alrubayyi A, Ogbe A, Moreno Cubero E, Peppa D. Harnessing Natural Killer Cell Innate and Adaptive Traits in HIV Infection. Front Cell Infect Microbiol 2020; 10:395. [PMID: 32850493 PMCID: PMC7417314 DOI: 10.3389/fcimb.2020.00395] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 06/26/2020] [Indexed: 12/13/2022] Open
Abstract
Despite efficient virological suppression on antiretroviral therapy (ART), people living with HIV (PLWH), experience an increased burden of premature co-morbidities, such as cancer and end-organ disease. With remaining challenges in terms of access to therapy, adherence and potential long-term drug toxicity, improving their long-term healthcare outcome, including new strategies for HIV clearance, remains a global priority. There is, therefore, an ongoing need to better characterize and harness the immune response in order to develop new strategies and supplement current therapeutic approaches for a “functional” cure. Current efforts toward HIV eradication to enhance immune recognition and elimination of persistently infected cells have highlighted the need for an optimized “kill” approach. Natural killer (NK) cells play an important role in antiviral defense and by virtue of their innate and adaptive features hold great promise as a focus of “kill” efforts. Galvanized by advances in the cancer field, NK cell exploitation, represents a transformative approach to augment HIV therapeutic modalities, circumventing many of the limitations inherent to T cell approaches. In this review we will discuss recent advances in our understanding of the development of NK cell adaptive/memory responses in HIV infection and highlight new and exciting opportunities to exploit the beneficial attributes of NK cells for HIV immunotherapy.
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Affiliation(s)
- Aljawharah Alrubayyi
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Ane Ogbe
- Peter Medawar Building for Pathogen Research, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Elia Moreno Cubero
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Dimitra Peppa
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom.,Department of HIV, Mortimer Market Centre, CNWL NHS Trust, London, OH, United Kingdom
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