scholarly journals Single-Cell Analysis Reveals the Immune Characteristics of Myeloid Cells and Memory T Cells in Recovered COVID-19 Patients With Different Severities

2022 ◽  
Vol 12 ◽  
Author(s):  
Xu Li ◽  
Manik Garg ◽  
Tingting Jia ◽  
Qijun Liao ◽  
Lifang Yuan ◽  
...  

Despite many studies on the immune characteristics of Coronavirus disease 2019 (COVID-19) patients in the progression stage, a detailed understanding of pertinent immune cells in recovered patients is lacking. We performed single-cell RNA sequencing on samples from recovered COVID-19 patients and healthy controls. We created a comprehensive immune landscape with more than 260,000 peripheral blood mononuclear cells (PBMCs) from 41 samples by integrating our dataset with previously reported datasets, which included samples collected between 27 and 47 days after symptom onset. According to our large-scale single-cell analysis, recovered patients, who had severe symptoms (severe/critical recovered), still exhibited peripheral immune disorders 1–2 months after symptom onset. Specifically, in these severe/critical recovered patients, human leukocyte antigen (HLA) class II and antigen processing pathways were downregulated in both CD14 monocytes and dendritic cells compared to healthy controls, while the proportion of CD14 monocytes increased. These may lead to the downregulation of T-cell differentiation pathways in memory T cells. However, in the mild/moderate recovered patients, the proportion of plasmacytoid dendritic cells increased compared to healthy controls, accompanied by the upregulation of HLA-DRA and HLA-DRB1 in both CD14 monocytes and dendritic cells. In addition, T-cell differentiation regulation and memory T cell–related genes FOS, JUN, CD69, CXCR4, and CD83 were upregulated in the mild/moderate recovered patients. Further, the immunoglobulin heavy chain V3-21 (IGHV3-21) gene segment was preferred in B-cell immune repertoires in severe/critical recovered patients. Collectively, we provide a large-scale single-cell atlas of the peripheral immune response in recovered COVID-19 patients.

1999 ◽  
Vol 194 (2) ◽  
pp. 150-161 ◽  
Author(s):  
Lisa L. Salazar Murphy ◽  
Melissa M. Mazanet ◽  
Angela C. Taylor ◽  
Javier Mestas ◽  
Christopher C.W. Hughes

2021 ◽  
Vol 12 ◽  
Author(s):  
Trine Sundebo Meldgaard ◽  
Fabiola Blengio ◽  
Denise Maffione ◽  
Chiara Sammicheli ◽  
Simona Tavarini ◽  
...  

CD8+ T cells play a key role in mediating protective immunity after immune challenges such as infection or vaccination. Several subsets of differentiated CD8+ T cells have been identified, however, a deeper understanding of the molecular mechanism that underlies T-cell differentiation is lacking. Conventional approaches to the study of immune responses are typically limited to the analysis of bulk groups of cells that mask the cells’ heterogeneity (RNA-seq, microarray) and to the assessment of a relatively limited number of biomarkers that can be evaluated simultaneously at the population level (flow and mass cytometry). Single-cell analysis, on the other hand, represents a possible alternative that enables a deeper characterization of the underlying cellular heterogeneity. In this study, a murine model was used to characterize immunodominant hemagglutinin (HA533-541)-specific CD8+ T-cell responses to nucleic- and protein-based influenza vaccine candidates, using single-cell sorting followed by transcriptomic analysis. Investigation of single-cell gene expression profiles enabled the discovery of unique subsets of CD8+ T cells that co-expressed cytotoxic genes after vaccination. Moreover, this method enabled the characterization of antigen specific CD8+ T cells that were previously undetected. Single-cell transcriptome profiling has the potential to allow for qualitative discrimination of cells, which could lead to novel insights on biological pathways involved in cellular responses. This approach could be further validated and allow for more informed decision making in preclinical and clinical settings.


2020 ◽  
Vol 8 (Suppl 3) ◽  
pp. A580-A580
Author(s):  
Kivin Jacobsen ◽  
Cynthia Sakofsky ◽  
Vadir Lopez-Salmeron ◽  
Margaret Nakamoto ◽  
Liselotte Brix ◽  
...  

BackgroundAdoptively transferred antigen-specific T cells have shown great efficacy in treatment of some virus-associated diseases and malignancies. A major driver of the development of adoptive T-cell therapy has been our ability to successfully characterize the functional status and antigen specificity of T cells. However, this has been limited by inefficient detection of antigen-specific T cells possibly due to their low frequency and low binding affinities to known MHC-peptide complexes.MethodsHere, we aim to combine two powerful technologies, advanced dCODE™ Dextramer® from Immudex and single-cell multiomics analysis using the BD Rhapsody™ Single-Cell Analysis system, to detect and characterize disease-specific CD8+ T cells within thousands of PBMCs.ResultsCurrently, we are able to identify over 350 mRNAs alongside a panel of over 20 BD® AbSeq cell surface protein markers which can be associated with T cell activation states. These data can be used to define T-cell phenotypes alongside antigen specificity of enriched CD8+ Dextramer(R)+ cells from a PBMC population.Conclusions his study outlines our ability for high-resolution T-cell profiling that has broader implications and utility in immuno-oncology, infectious diseases and autoimmunity.AcknowledgementsFor Research Use Only. Not for use in diagnostic or therapeutic procedures. BD, the BD Logo, and Rhapsody are trademarks of Becton, Dickinson and Company or its affiliates. © 2019 BD. All rights reserved.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 18-18
Author(s):  
Junji Koya ◽  
Yuki Saito ◽  
Takuro Kameda ◽  
Yasunori Kogure ◽  
Marni B McClure ◽  
...  

Adult T-cell leukemia/lymphoma (ATL) is an aggressive peripheral T-cell malignancy, caused by human T-cell leukemia virus type-1 (HTLV-1) infection. To elucidate immune microenvironment and heterogeneity of HTLV-1-infected normal and leukemic cells, we performed multi-omics single cell analysis, evaluating whole-transcriptome, 101 surface marker proteins, and T/B-cell receptor repertoires in the same single cells. We analyzed 236,192 peripheral blood mononuclear cells (PBMCs) from 31 ATL patients (35 samples including 4 sequential samples), 11 HTLV-1-infected carriers, and 4 healthy donors. In our analysis, expression of HTLV-1-related genes, such as HBZ, clearly identified a distinct cluster of HTLV-1-infected cells within non-malignant CD4+ T cells. These cells are characterized by a CD45RO+CD62L-CD7-CCR4+CD25+CD73+ memory/effector phenotype. By contrast, malignant ATL cells were segregated into different clusters across patients, suggestive of inter-tumor heterogeneity. Transcriptome analysis of CD4+ T cells revealed up-regulation of interferon (IFN) responses and down-regulation of TNFa signaling in malignant ATL cells compared with HTLV-1-infected normal CD4+ T cells. Likewise, sequential sample analysis showed that progression from indolent to aggressive disease enhanced IFN responses, suggesting a pivotal role of this pathway in the ATL pathogenesis. Surface marker protein analysis demonstrated that HTLV-1 infection up-regulated the expression of stimulatory and inhibitory immune checkpoint molecules (such as OX40 and TIGIT, respectively), which was further augmented by ATL progression. Within malignant cells, we identified a fraction of cycling cells present across most ATL samples. This fraction showed an enhanced T-cell activation markers, such as CD25 and HLA-DR, and their frequency was increased in aggressive subtypes. On the other hand, in HTLV-1-infected carriers, HTLV-1-infected CD4+ T cells contained a small population of malignant-like cells showing clonal expansion. The degree of clonal expansion was significantly correlated with HTLV-1 viral load in PBMCs. These results clarify the heterogeneity within HTLV-1-infected cells and ATL malignant cells, pointing to its relevance during ATL initiation and progression. We also observed dynamic changes of the immune microenvironment in ATL. Although the relative frequencies of other cell types remained almost the same or reduced, only myeloid cells were increased in ATL patients compared with in HTLV-1-infected carriers. Re-clustering of myeloid cells identified a novel cluster of monocytes expressing FCGR1A, encoding CD64, a biomarker of IFN-stimulated gene levels. Transcriptome analysis revealed increased IFN signaling and decreased TNFa in myeloid cells from ATL patients compared with HTLV-1-infected carriers. Similar expression signatures changes were also observed in various immune cell types, such as B, CD8+ T, and NK cells, in ATL patients. In addition, substantial changes of surface marker proteins were also found in ATL patients. Particularly, T-cell activation markers, such as HLA-DR, and inhibitory immune checkpoint molecules, such as PD-1 and TIM-3, were up-regulated in CD8+ T cells from ATL patients. A co-culture experiment of ATL cell lines with PBMCs from healthy volunteers demonstrated that ATL cells induced immune-phenotypic changes of myeloid and CD8+ T cells, similar to those observed in ATL patient by our single-cell analysis, confirming the role of ATL cells in the modulation of the immune system. Taken together, the composition and function of immune microenvironment is dramatically altered in ATL patients, which may contribute to immunosuppression and disease progression in ATL. In summary, our multi-omics single-cell analysis comprehensively dissects the cellular and molecular architecture in HTLV-1-infected carriers and ATL patients. In particular, our approach clearly defines HTLV-1-infected cells by the expression of HTLV-1-related genes, leading to the detailed characterization of HTLV-1-infected cells and elucidation of their difference from ATL malignant cells. These findings will help to devise novel diagnostic and therapeutic strategies for HTLV-1-related disorders. Disclosures Kogure: Takeda Pharmaceutical Company Limited.: Honoraria. Shimoda:Japanese Society of Hematology: Research Funding; The Shinnihon Foundation of Advanced Medical Treatment Research: Research Funding; Bristol-Myers Squibb: Honoraria; Takeda Pharmaceutical Company: Honoraria; Novartis: Honoraria, Research Funding; CHUGAI PHARMACEUTICAL CO., LTD.: Research Funding; Kyowa Hakko Kirin Co., Ltd.: Research Funding; Pfizer Inc.: Research Funding; Otsuka Pharmaceutical: Research Funding; Asahi Kasei Medical: Research Funding; Shire plc: Honoraria; Celgene: Honoraria; Perseus Proteomics: Research Funding; PharmaEssentia Japan: Research Funding; AbbVie Inc.: Research Funding; Astellas Pharma: Research Funding; Merck & Co.: Research Funding. Kataoka:CHUGAI PHARMACEUTICAL CO., LTD.: Research Funding; Takeda Pharmaceutical Company: Research Funding; Otsuka Pharmaceutical: Research Funding; Asahi Genomics: Current equity holder in private company.


2016 ◽  
Vol 17 (1) ◽  
Author(s):  
Valentina Proserpio ◽  
Andrea Piccolo ◽  
Liora Haim-Vilmovsky ◽  
Gozde Kar ◽  
Tapio Lönnberg ◽  
...  

2016 ◽  
Vol 17 (1) ◽  
Author(s):  
Valentina Proserpio ◽  
Andrea Piccolo ◽  
Liora Haim-Vilmovsky ◽  
Gozde Kar ◽  
Tapio Lönnberg ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document