1
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Guo M, Guo H, Zhu J, Wang F, Chen J, Wan C, Deng Y, Wang F, Xu L, Chen Y, Li R, Liu S, Zhang L, Wang Y, Zhou J, Li S. A novel subpopulation of monocytes with a strong interferon signature indicated by SIGLEC-1 is present in patients with in recent-onset type 1 diabetes. Diabetologia 2024; 67:623-640. [PMID: 38349399 DOI: 10.1007/s00125-024-06098-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 12/08/2023] [Indexed: 03/01/2024]
Abstract
AIMS/HYPOTHESIS Type 1 diabetes is a T cell-mediated autoimmune disease characterised by pancreatic beta cell destruction. In this study, we explored the pathogenic immune responses in initiation of type 1 diabetes and new immunological targets for type 1 diabetes prevention and treatment. METHODS We obtained peripheral blood samples from four individuals with newly diagnosed latent autoimmune diabetes in adults (LADA) and from four healthy control participants. Single-cell RNA-sequencing (scRNA-seq) was performed on peripheral blood mononuclear cells to uncover transcriptomic profiles of early LADA. Validation was performed through flow cytometry in a cohort comprising 54 LADA, 17 adult-onset type 2 diabetes, and 26 healthy adults, matched using propensity score matching (PSM) based on age and sex. A similar PSM method matched 15 paediatric type 1 diabetes patients with 15 healthy children. Further flow cytometry analysis was performed in both peripheral blood and pancreatic tissues of non-obese diabetic (NOD) mice. Additionally, cell adoptive transfer and clearance assays were performed in NOD mice to explore the role of this monocyte subset in islet inflammation and onset of type 1 diabetes. RESULTS The scRNA-seq data showed that upregulated genes in peripheral T cells and monocytes from early-onset LADA patients were primarily enriched in the IFN signalling pathway. A new cluster of classical monocytes (cluster 4) was identified, and the proportion of this cluster was significantly increased in individuals with LADA compared with healthy control individuals (11.93% vs 5.93%, p=0.017) and that exhibited a strong IFN signature marked by SIGLEC-1 (encoding sialoadhesin). These SIGLEC-1+ monocytes expressed high levels of genes encoding C-C chemokine receptors 1 or 2, as well as genes for chemoattractants for T cells and natural killer cells. They also showed relatively low levels of genes for co-stimulatory and HLA molecules. Flow cytometry analysis verified the elevated levels of SIGLEC-1+ monocytes in the peripheral blood of participants with LADA and paediatric type 1 diabetes compared with healthy control participants and those with type 2 diabetes. Interestingly, the proportion of SIGLEC-1+ monocytes positively correlated with disease activity and negatively with disease duration in the LADA patients. In NOD mice, the proportion of SIGLEC-1+ monocytes in the peripheral blood was highest at the age of 6 weeks (16.88%), while the peak occurred at 12 weeks in pancreatic tissues (23.65%). Adoptive transfer experiments revealed a significant acceleration in diabetes onset in the SIGLEC-1+ group compared with the SIGLEC-1- or saline control group. CONCLUSIONS/INTERPRETATION Our study identified a novel group of SIGLEC-1+ monocytes that may serve as an important indicator for early diagnosis, activity assessment and monitoring of therapeutic efficacy in type 1 diabetes, and may also be a novel target for preventing and treating type 1 diabetes. DATA AVAILABILITY RNA-seq data have been deposited in the GSA human database ( https://ngdc.cncb.ac.cn/gsa-human/ ) under accession number HRA003649.
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Affiliation(s)
- Mengqi Guo
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
- Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Han Guo
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Jingjing Zhu
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Fei Wang
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Jianni Chen
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Chuan Wan
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Yujie Deng
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Fang Wang
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Lili Xu
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Ying Chen
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Ran Li
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Shikai Liu
- Key Laboratory of Mariculture, Ministry of Education College of Fisheries, Ocean University of China, Qingdao, China
| | - Lin Zhang
- Department of Pharmacy, Shaoxing People's Hospital, Shaoxing, Zhejiang Province, China
| | - Yangang Wang
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
| | - Jing Zhou
- Institute of Immunology, Third Military Medical University, Chongqing, China.
| | - Shufa Li
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
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Yan T, Boatner LM, Cui L, Tontonoz PJ, Backus KM. Defining the Cell Surface Cysteinome Using Two-Step Enrichment Proteomics. JACS AU 2023; 3:3506-3523. [PMID: 38155636 PMCID: PMC10751780 DOI: 10.1021/jacsau.3c00707] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 11/17/2023] [Accepted: 11/20/2023] [Indexed: 12/30/2023]
Abstract
The plasma membrane proteome is a rich resource of functionally important and therapeutically relevant protein targets. Distinguished by high hydrophobicity, heavy glycosylation, disulfide-rich sequences, and low overall abundance, the cell surface proteome remains undersampled in established proteomic pipelines, including our own cysteine chemoproteomics platforms. Here, we paired cell surface glycoprotein capture with cysteine chemoproteomics to establish a two-stage enrichment method that enables chemoproteomic profiling of cell Surface Cysteinome. Our "Cys-Surf" platform captures >2,800 total membrane protein cysteines in 1,046 proteins, including 1,907 residues not previously captured by bulk proteomic analysis. By pairing Cys-Surf with an isotopic chemoproteomic readout, we uncovered 821 total ligandable cysteines, including known and novel sites. Cys-Surf also robustly delineates redox-sensitive cysteines, including cysteines prone to activation-dependent changes to cysteine oxidation state and residues sensitive to addition of exogenous reductants. Exemplifying the capacity of Cys-Surf to delineate functionally important cysteines, we identified a redox sensitive cysteine in the low-density lipoprotein receptor (LDLR) that impacts both the protein localization and uptake of low-density lipoprotein (LDL) particles. Taken together, the Cys-Surf platform, distinguished by its two-stage enrichment paradigm, represents a tailored approach to delineate the functional and therapeutic potential of the plasma membrane cysteinome.
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Affiliation(s)
- Tianyang Yan
- Department
of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California 90095, United States
- Department
of Chemistry and Biochemistry, UCLA, Los Angeles, California 90095, United States
| | - Lisa M. Boatner
- Department
of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California 90095, United States
- Department
of Chemistry and Biochemistry, UCLA, Los Angeles, California 90095, United States
| | - Liujuan Cui
- Department
of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California 90095, United States
- Department
of Pathology and Laboratory Medicine, David Geffen School of Medicine, UCLA, Los Angeles, Los Angeles, California 90095, United States
| | - Peter J. Tontonoz
- Department
of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California 90095, United States
- Department
of Pathology and Laboratory Medicine, David Geffen School of Medicine, UCLA, Los Angeles, Los Angeles, California 90095, United States
| | - Keriann M. Backus
- Department
of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California 90095, United States
- Department
of Chemistry and Biochemistry, UCLA, Los Angeles, California 90095, United States
- DOE
Institute for Genomics and Proteomics, UCLA, Los Angeles, California 90095, United States
- Jonsson
Comprehensive Cancer Center, UCLA, Los Angeles, California 90095, United States
- Eli
and Edythe
Broad Center of Regenerative Medicine and Stem Cell Research, UCLA, Los Angeles, California 90095, United States
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3
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Yan T, Boatner LM, Cui L, Tontonoz P, Backus KM. Defining the Cell Surface Cysteinome using Two-step Enrichment Proteomics. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.17.562832. [PMID: 37904933 PMCID: PMC10614875 DOI: 10.1101/2023.10.17.562832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/01/2023]
Abstract
The plasma membrane proteome is a rich resource of functional and therapeutically relevant protein targets. Distinguished by high hydrophobicity, heavy glycosylation, disulfide-rich sequences, and low overall abundance, the cell surface proteome remains undersampled in established proteomic pipelines, including our own cysteine chemoproteomics platforms. Here we paired cell surface glycoprotein capture with cysteine chemoproteomics to establish a two-stage enrichment method that enables chemoproteomic profiling of cell Surface Cysteinome. Our "Cys-Surf" platform captures >2,800 total membrane protein cysteines in 1,046 proteins, including 1,907 residues not previously captured by bulk proteomic analysis. By pairing Cys-Surf with an isotopic chemoproteomic readout, we uncovered 821 total ligandable cysteines, including known and novel sites. Cys-Surf also robustly delineates redox-sensitive cysteines, including cysteines prone to activation-dependent changes to cysteine oxidation state and residues sensitive to addition of exogenous reductants. Exemplifying the capacity of Cys-Surf to delineate functionally important cysteines, we identified a redox sensitive cysteine in the low-density lipoprotein receptor (LDLR) that impacts both the protein localization and uptake of LDL particles. Taken together, the Cys-Surf platform, distinguished by its two-stage enrichment paradigm, represents a tailored approach to delineate the functional and therapeutic potential of the plasma membrane cysteinome.
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Affiliation(s)
- Tianyang Yan
- Department of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095 (USA)
- Department of Chemistry and Biochemistry, UCLA, Los Angeles, CA 90095 (USA)
| | - Lisa M. Boatner
- Department of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095 (USA)
- Department of Chemistry and Biochemistry, UCLA, Los Angeles, CA 90095 (USA)
| | - Liujuan Cui
- Department of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095 (USA)
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, UCLA, Los Angeles; Los Angeles, CA 90095, USA
| | - Peter Tontonoz
- Department of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095 (USA)
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, UCLA, Los Angeles; Los Angeles, CA 90095, USA
| | - Keriann M. Backus
- Department of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095 (USA)
- Department of Chemistry and Biochemistry, UCLA, Los Angeles, CA 90095 (USA)
- DOE Institute for Genomics and Proteomics, UCLA, Los Angeles, CA 90095 (USA)
- Jonsson Comprehensive Cancer Center, UCLA, Los Angeles, CA 90095 (USA)
- Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, UCLA, Los Angeles, CA 90095 (USA)
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4
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Bao Y, Wu S, Yang T, Wang Z, Wang Y, Jiang X, Ma H. Analysis of long non-coding RNA expression profile of bovine monocyte-macrophage infected by Mycobacterium avium subsp. paratuberculosis. BMC Genomics 2022; 23:768. [PMID: 36418939 PMCID: PMC9685057 DOI: 10.1186/s12864-022-08997-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 11/09/2022] [Indexed: 11/25/2022] Open
Abstract
Mycobacterium avium subsp. paratuberculosis (MAP) is the causative agent of paratuberculosis. As a potential zoonotic pathogen, MAP also seriously threatens human health and social security. At present, long non-coding RNA (lncRNA) has attracted wide attention as an useful biomarker in various diseases. Therefore, our study analyzed the lncRNA expression profiles and lncRNA-mRNA regulatory network of MAP infected bovine monocytes-macrophages and uninfected bovine cells by high-throughput sequencing. A total of 4641 differentially expressed lncRNAs genes were identified, including 3111 up-regulated genes and 1530 down-regulated genes. In addition, lncRNA-mRNA interaction analysis was performed to predict the target genes of lncRNA. Among them, after MAP infection, 86 lncRNAs targeted to mRNA, of which only 6 genes were significantly different. The results of Gene Ontology (GO) enrichment analysis showed that the differentially expressed genes significantly enriched in functional groups were related to immune regulation. Multiple signal pathways including NF-κB, NOD-like receptor, Cytokine-cytokine receptor, Toll-like receptor signaling pathway, Chemokine signaling pathway, and other important biochemical, metabolic and signal transduction pathways were enriched in Kyoto Encyclopedia of Genes and Genomes (KEGG). In this study, analysis of macrophage transcriptomes in response to MAP infection is expected to provide key information to deeply understand role of the pathogen in initiating an inappropriate and persistent infection in susceptible hosts and molecular mechanisms that might underlie the early phases of paratuberculosis.
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Affiliation(s)
- Yanhong Bao
- grid.464353.30000 0000 9888 756XCollege of Life Sciences, Jilin Agricultural University, Xincheng Street No.2888, Changchun, 130118 China
| | - Shuiyin Wu
- grid.464353.30000 0000 9888 756XCollege of Life Sciences, Jilin Agricultural University, Xincheng Street No.2888, Changchun, 130118 China
| | - Tianze Yang
- grid.464353.30000 0000 9888 756XCollege of Life Sciences, Jilin Agricultural University, Xincheng Street No.2888, Changchun, 130118 China
| | - Zi Wang
- grid.411647.10000 0000 8547 6673College of Animal Science and Technology, Inner Mongolia University for Nationalities, Tongliao, 028000 China
| | - Yiming Wang
- grid.464353.30000 0000 9888 756XCollege of Animal Medicine, Jilin Agricultural University, Xincheng Street No. 2888, Changchun, 130118 China
| | - Xiuyun Jiang
- grid.464353.30000 0000 9888 756XCollege of Life Sciences, Jilin Agricultural University, Xincheng Street No.2888, Changchun, 130118 China ,grid.440668.80000 0001 0006 0255College of Life Sciences, Changchun Sci-Tech University, Changchun, 130600 P.R. China
| | - Hongxia Ma
- grid.464353.30000 0000 9888 756XCollege of Animal Medicine, Jilin Agricultural University, Xincheng Street No. 2888, Changchun, 130118 China ,grid.464353.30000 0000 9888 756XThe Key Laboratory of New Veterinary Drug Research and Development of Jilin Province, Jilin Agricultural University, Xincheng Street No. 2888, Changchun, 130118 China ,grid.464353.30000 0000 9888 756XThe Engineering Research Center of Bioreactor and Drug Development, Ministry of Education, Jilin Agricultural University, Xincheng Street No. 2888, Changchun, 130118 China
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5
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van der Pan K, Kassem S, Khatri I, de Ru AH, Janssen GMC, Tjokrodirijo RTN, al Makindji F, Stavrakaki E, de Jager AL, Naber BAE, de Laat IF, Louis A, van den Bossche WBL, Vogelezang LB, Balvers RK, Lamfers MLM, van Veelen PA, Orfao A, van Dongen JJM, Teodosio C, Díez P. Quantitative proteomics of small numbers of closely-related cells: Selection of the optimal method for a clinical setting. Front Med (Lausanne) 2022; 9:997305. [PMID: 36237552 PMCID: PMC9553008 DOI: 10.3389/fmed.2022.997305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 08/31/2022] [Indexed: 11/13/2022] Open
Abstract
Mass spectrometry (MS)-based proteomics profiling has undoubtedly increased the knowledge about cellular processes and functions. However, its applicability for paucicellular sample analyses is currently limited. Although new approaches have been developed for single-cell studies, most of them have not (yet) been standardized and/or require highly specific (often home-built) devices, thereby limiting their broad implementation, particularly in non-specialized settings. To select an optimal MS-oriented proteomics approach applicable in translational research and clinical settings, we assessed 10 different sample preparation procedures in paucicellular samples of closely-related cell types. Particularly, five cell lysis protocols using different chemistries and mechanical forces were combined with two sample clean-up techniques (C18 filter- and SP3-based), followed by tandem mass tag (TMT)-based protein quantification. The evaluation was structured in three phases: first, cell lines from hematopoietic (THP-1) and non-hematopoietic (HT-29) origins were used to test the approaches showing the combination of a urea-based lysis buffer with the SP3 bead-based clean-up system as the best performer. Parameters such as reproducibility, accessibility, spatial distribution, ease of use, processing time and cost were considered. In the second phase, the performance of the method was tested on maturation-related cell populations: three different monocyte subsets from peripheral blood and, for the first time, macrophages/microglia (MAC) from glioblastoma samples, together with T cells from both tissues. The analysis of 50,000 cells down to only 2,500 cells revealed different protein expression profiles associated with the distinct cell populations. Accordingly, a closer relationship was observed between non-classical monocytes and MAC, with the latter showing the co-expression of M1 and M2 macrophage markers, although pro-tumoral and anti-inflammatory proteins were more represented. In the third phase, the results were validated by high-end spectral flow cytometry on paired monocyte/MAC samples to further determine the sensitivity of the MS approach selected. Finally, the feasibility of the method was proven in 194 additional samples corresponding to 38 different cell types, including cells from different tissue origins, cellular lineages, maturation stages and stimuli. In summary, we selected a reproducible, easy-to-implement sample preparation method for MS-based proteomic characterization of paucicellular samples, also applicable in the setting of functionally closely-related cell populations.
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Affiliation(s)
- Kyra van der Pan
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Sara Kassem
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Indu Khatri
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
- Leiden Computational Biology Center, LUMC, Leiden, Netherlands
| | - Arnoud H. de Ru
- Center for Proteomics and Metabolomics, LUMC, Leiden, Netherlands
| | | | | | - Fadi al Makindji
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | | | - Anniek L. de Jager
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Brigitta A. E. Naber
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Inge F. de Laat
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Alesha Louis
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | | | | | | | | | | | - Alberto Orfao
- Translational and Clinical Research Program, Cancer Research Center (IBMCC; University of Salamanca-CSIC), Salamanca, Spain
- Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Jacques J. M. van Dongen
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
- Translational and Clinical Research Program, Cancer Research Center (IBMCC; University of Salamanca-CSIC), Salamanca, Spain
- Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- *Correspondence: Jacques J. M. van Dongen
| | - Cristina Teodosio
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
- Translational and Clinical Research Program, Cancer Research Center (IBMCC; University of Salamanca-CSIC), Salamanca, Spain
- Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Paula Díez
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
- Translational and Clinical Research Program, Cancer Research Center (IBMCC; University of Salamanca-CSIC), Salamanca, Spain
- Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
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6
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Affandi AJ, Olesek K, Grabowska J, Nijen Twilhaar MK, Rodríguez E, Saris A, Zwart ES, Nossent EJ, Kalay H, de Kok M, Kazemier G, Stöckl J, van den Eertwegh AJM, de Gruijl TD, Garcia-Vallejo JJ, Storm G, van Kooyk Y, den Haan JMM. CD169 Defines Activated CD14 + Monocytes With Enhanced CD8 + T Cell Activation Capacity. Front Immunol 2021; 12:697840. [PMID: 34394090 PMCID: PMC8356644 DOI: 10.3389/fimmu.2021.697840] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 07/13/2021] [Indexed: 12/20/2022] Open
Abstract
Monocytes are antigen-presenting cells (APCs) that play diverse roles in promoting or regulating inflammatory responses, but their role in T cell stimulation is not well defined. In inflammatory conditions, monocytes frequently show increased expression of CD169/Siglec-1, a type-I interferon (IFN-I)-regulated protein. However, little is known about the phenotype and function of these CD169+ monocytes. Here, we have investigated the phenotype of human CD169+ monocytes in different diseases, their capacity to activate CD8+ T cells, and the potential for a targeted-vaccination approach. Using spectral flow cytometry, we detected CD169 expression by CD14+ CD16- classical and CD14+ CD16+ intermediate monocytes and unbiased analysis showed that they were distinct from dendritic cells, including the recently described CD14-expressing DC3. CD169+ monocytes expressed higher levels of co-stimulatory and HLA molecules, suggesting an increased activation state. IFNα treatment highly upregulated CD169 expression on CD14+ monocytes and boosted their capacity to cross-present antigen to CD8+ T cells. Furthermore, we observed CD169+ monocytes in virally-infected patients, including in the blood and bronchoalveolar lavage fluid of COVID-19 patients, as well as in the blood of patients with different types of cancers. Finally, we evaluated two CD169-targeting nanovaccine platforms, antibody-based and liposome-based, and we showed that CD169+ monocytes efficiently presented tumor-associated peptides gp100 and WT1 to antigen-specific CD8+ T cells. In conclusion, our data indicate that CD169+ monocytes are activated monocytes with enhanced CD8+ T cell stimulatory capacity and that they emerge as an interesting target in nanovaccine strategies, because of their presence in health and different diseases.
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Affiliation(s)
- Alsya J Affandi
- Department of Molecular Cell Biology and Immunology, Cancer Center Amsterdam, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Katarzyna Olesek
- Department of Molecular Cell Biology and Immunology, Cancer Center Amsterdam, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Joanna Grabowska
- Department of Molecular Cell Biology and Immunology, Cancer Center Amsterdam, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Maarten K Nijen Twilhaar
- Department of Molecular Cell Biology and Immunology, Cancer Center Amsterdam, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Ernesto Rodríguez
- Department of Molecular Cell Biology and Immunology, Cancer Center Amsterdam, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Anno Saris
- Center for Experimental and Molecular Medicine, Amsterdam UMC, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.,Department of Infectious Diseases, Leiden University Medical Center, Leiden, Netherlands
| | - Eline S Zwart
- Department of Molecular Cell Biology and Immunology, Cancer Center Amsterdam, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Department of Surgery, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Esther J Nossent
- Department of Pulmonary Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Amsterdam Cardiovascular Sciences Research Institute, Amsterdam UMC, Amsterdam, Netherlands
| | - Hakan Kalay
- Department of Molecular Cell Biology and Immunology, Cancer Center Amsterdam, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Michael de Kok
- Department of Molecular Cell Biology and Immunology, Cancer Center Amsterdam, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Geert Kazemier
- Department of Surgery, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Johannes Stöckl
- Institute of Immunology, Centre for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Alfons J M van den Eertwegh
- Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Tanja D de Gruijl
- Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Juan J Garcia-Vallejo
- Department of Molecular Cell Biology and Immunology, Cancer Center Amsterdam, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Gert Storm
- Department of Pharmaceutics, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, Netherlands.,Department of Biomaterials, Science and Technology, Faculty of Science and Technology, University of Twente, Enschede, Netherlands.,Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yvette van Kooyk
- Department of Molecular Cell Biology and Immunology, Cancer Center Amsterdam, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Joke M M den Haan
- Department of Molecular Cell Biology and Immunology, Cancer Center Amsterdam, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
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