scholarly journals Heterogeneity of T Cells in Atherosclerosis Defined by Single-Cell RNA-Sequencing and Cytometry by Time of Flight

Author(s):  
Holger Winkels ◽  
Dennis Wolf

The infiltration and accumulation of pro- and anti-inflammatory leukocytes within the intimal layer of the arterial wall is a hallmark of developing and progressing atherosclerosis. While traditionally perceived as macrophage- and foam cell-dominated disease, it is now established that atherosclerosis is a partial autoimmune disease that involves the recognition of peptides from ApoB (apolipoprotein B), the core protein of LDL (low-density lipoprotein) cholesterol particles, by CD4 + T-helper cells and autoantibodies against LDL and ApoB. Autoimmunity in the atherosclerotic plaque has long been understood as a pathogenic T-helper type-1 driven response with proinflammatory cytokine secretion. Recent developments in high-parametric cell immunophenotyping by mass cytometry, single-cell RNA-sequencing, and in tools exploring antigen-specificity have established the existence of several unforeseen layers of T cell diversity with mixed T H 1 and T regulatory cells transcriptional programs and unpredicted fates. These findings suggest that pathogenic ApoB-reactive T cells evolve from atheroprotective and immunosuppressive CD4 + T regulatory cells that lose their protective properties over time. Here, we discuss T cell heterogeneity in atherosclerosis with a focus on plasticity, antigen-specificity, exhaustion, maturation, tissue residency, and its potential use in clinical prediction.

Circulation ◽  
2020 ◽  
Vol 142 (13) ◽  
pp. 1279-1293 ◽  
Author(s):  
Dennis Wolf ◽  
Teresa Gerhardt ◽  
Holger Winkels ◽  
Nathaly Anto Michel ◽  
Akula Bala Pramod ◽  
...  

Background: Throughout the inflammatory response that accompanies atherosclerosis, autoreactive CD4 + T-helper cells accumulate in the atherosclerotic plaque. Apolipoprotein B 100 (apoB), the core protein of low-density lipoprotein, is an autoantigen that drives the generation of pathogenic T-helper type 1 (T H 1) cells with proinflammatory cytokine secretion. Clinical data suggest the existence of apoB-specific CD4 + T cells with an atheroprotective, regulatory T cell (T reg ) phenotype in healthy individuals. Yet, the function of apoB-reactive T regs and their relationship with pathogenic T H 1 cells remain unknown. Methods: To interrogate the function of autoreactive CD4 + T cells in atherosclerosis, we used a novel tetramer of major histocompatibility complex II to track T cells reactive to the mouse self-peptide apo B 978-993 (apoB + ) at the single-cell level. Results: We found that apoB + T cells build an oligoclonal population in lymph nodes of healthy mice that exhibit a T reg -like transcriptome, although only 21% of all apoB + T cells expressed the T reg transcription factor FoxP3 (Forkhead Box P3) protein as detected by flow cytometry. In single-cell RNA sequencing, apoB + T cells formed several clusters with mixed T H signatures that suggested overlapping multilineage phenotypes with pro- and anti-inflammatory transcripts of T H 1, T helper cell type 2 (T H 2), and T helper cell type 17 (T H 17), and of follicular-helper T cells. ApoB + T cells were increased in mice and humans with atherosclerosis and progressively converted into pathogenic T H 1/T H 17-like cells with proinflammatory properties and only a residual T reg transcriptome. Plaque T cells that expanded during progression of atherosclerosis consistently showed a mixed T H 1/T H 17 phenotype in single-cell RNA sequencing. In addition, we observed a loss of FoxP3 in a fraction of apoB + T regs in lineage tracing of hyperlipidemic Apoe –/– mice. In adoptive transfer experiments, converting apoB + T regs failed to protect from atherosclerosis. Conclusions: Our results demonstrate an unexpected mixed phenotype of apoB-reactive autoimmune T cells in atherosclerosis and suggest an initially protective autoimmune response against apoB with a progressive derangement in clinical disease. These findings identify apoB autoreactive T regs as a novel cellular target in atherosclerosis.


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 759-759
Author(s):  
June H Myklebust ◽  
Jonathan M Irish ◽  
Roch Houot ◽  
Joshua Brody ◽  
Debra K Czerwinski ◽  
...  

Abstract Abstract 759 Introduction: Tumor infiltrating T cells present within biopsy specimens of human B cell non-Hodgkin's lymphomas (NHL) provide a valuable opportunity to examine immune system function in the presence of cancer. We recently used flow cytometry to characterize signaling in subpopulations of tumor samples from patients with follicular lymphoma (FL). In FL, we identified a novel lymphoma cell subset with impaired B cell antigen receptor (BCR) signaling, the prevalence of which correlated with adverse clinical outcome. Here, we turned our attention to signaling differences in subsets of the tumor-infiltrating T cells from FL and two other NHLs, diffuse large B cell lymphoma (DLBCL) and mantle cell lymphoma (MCL). Signaling differences that distinguish the tumor infiltrating T cells from each malignancy might be expected to be a reflection of the specific disease microenvironment, whereas T cell signaling differences distinguishing cases of the same malignancy might be related to the biology of each patient's tumor. Methods: Single cell flow cytometry measurements of signaling were acquired for samples of DLBCL (N=13), MCL (N=20), and FL (N=14). Phosphorylation of 14 signaling proteins was measured under 12 stimulation conditions in every cell, including lymphoma B cells and tumor-infiltrating T cells within the same specimen. Stimulation conditions included those that were B cell specific (BCR crosslinking, CD40 ligand), T cell specific (IL-7), and those that stimulated both B and T cells (IL-4, IL-10, IL-21, PMA + ionomycin, and IFN-γ). Results: Striking differences were observed in the signaling responses of tumor infiltrating T cells. T cells infiltrating FL patient samples showed significantly lower responses to cytokines where signal transduction is mediated by the common γ chain receptor. Specifically, we observed significant lower induction of p-STAT6 after IL-4 stimulation, p-STAT5 after IL-7 stimulation, and p-STAT3 after IL-21 stimulation (p < 0.001 for FL vs. MCL in all cases). In contrast, receptor-independent signaling was not significantly different as FL tumor infiltrating T cells responded at a level comparable to MCL and DLBCL tumor infiltrating T cells when stimulated with PMA and ionomycin. The lower response to common γ chain family cytokines could be the result of a partial suppression of all tumor infiltrating T cells or a complete suppression of a distinct subset. To distinguish between these possibilities, we analyzed signaling in tumor infiltrating T cell subsets. This single cell approach showed that tumor infiltrating T cells were a heterogeneous mixture of non-responsive cells and highly responsive T cells in response to cytokines. Specifically, the mean percentage of T cells that did not induce p-STAT3 after IL-21 stimulation was 50.3% in FL samples in contrast to only 26.2% in MCL samples. Phenotypic analysis showed that the vast majority of T cells infiltrating FL patient samples were CD4+CD45RO memory cells, and the single cell signaling approach revealed that the FL nonresponsive T cell subset had this phenotype. Furthermore, FL T cells were composed of a significantly larger fraction of T regulatory cells than MCL T cells, on average 17% FoxP3+CD25+ cells compared to only 9% in MCL (p<0.0002). Experiments are ongoing to test whether the prevalence of T regulatory cells influence the signaling capacity of the remaining CD4 conventional T cells. Conclusions: A subpopulation of tumor infiltrating T cells within FL patient samples has reduced responsiveness to the common gamma chain family members IL-4, IL-7 and IL-21, and distinguishes FL from DLBCL and MCL. These results may reflect a more suppressive microenvironment in FL. Disclosures: No relevant conflicts of interest to declare.


2021 ◽  
Vol 23 (Supplement_1) ◽  
pp. i39-i39
Author(s):  
Aaron Mochizuki ◽  
Sneha Ramakrishna ◽  
Zina Good ◽  
Shabnum Patel ◽  
Harshini Chinnasamy ◽  
...  

Abstract Introduction We are conducting a Phase I clinical trial utilizing chimeric antigen receptor (CAR) T-cells targeting GD2 (NCT04196413) for H3K27M-mutant diffuse intrinsic pontine glioma (DIPG) and spinal cord diffuse midline glioma (DMG). Cerebrospinal fluid (CSF) is collected for correlative studies at the time of routine intracranial pressure monitoring via Ommaya catheter. Here we present single cell RNA-sequencing results from the first 3 subjects. Methods Single cell RNA-sequencing was performed utilizing 10X Genomics on cells isolated from CSF at various time points before and after CAR T-cell administration and on the CAR T-cell product. Output was aligned with Cell Ranger and analyzed in R. Results As detailed in the Majzner et al. abstract presented at this meeting, three of four subjects treated at dose-level one exhibited clear radiographic and/or clinical benefit. We have to date completed single cell RNA-sequencing for three of these four subjects (two with benefit, one without). After filtering out low-quality signals and doublets, 89,604 cells across 3 subjects were analyzed. Of these, 4,122 cells represent cells isolated from CSF and 85,482 cells represent CAR T-cell product. Two subjects who demonstrated clear clinical and radiographic improvement exhibited fewer S100A8+S100A9+ myeloid suppressor-cells and CD25+FOXP3+ regulatory T-cells in the CSF pre-infusion compared to the subject who did not derive a therapeutic response. In one subject with DIPG who demonstrated improvement, polyclonal CAR T-cells detectable in CSF at Day +14 demonstrated enrichment of CD8A, GZMA, GNLY and PDCD1 compared to the pre-infusion CAR T-cells by trajectory analysis, suggesting differentiation toward a cytotoxic phenotype; the same subject exhibited increasing numbers of S100A8+S100A9+ myeloid cells and CX3CR1+P2RY12+ microglia over time. Further analyses will be presented as data become available. Conclusions The presence of immunosuppressive myeloid populations, detectable in CSF, may correlate to clinical response in CAR T cell therapy for DIPG/DMG.


2021 ◽  
Author(s):  
Xuefei Wang ◽  
Xiangru Shen ◽  
Shan Chen ◽  
Hongyi Liu ◽  
Ni Hong ◽  
...  

AbstractClassic T cell subsets are defined by a small set of cell surface markers, while single cell RNA sequencing (scRNA-seq) clusters cells using genome-wide gene expression profiles. The relationship between scRNA-seq Clustered-Populations (scCPops) and cell surface marker-defined classic T cell subsets remain unclear. Here, we interrogated 6 bead-enriched T cell subsets with 62,235 single cell transcriptomes and re-grouped them into 9 scCPops. Bead-enriched CD4 Naïve and CD8 Naïve were mainly clustered into their scCPop counterparts, while cells from the other T cell subsets were assigned to multiple scCPops including mucosal-associated invariant T cells and natural killer T cells. The multiple T cell subsets that form a single scCPop exhibited similar expression pattern, but not vice versa, indicating scCPops are much homogeneous cell populations with similar cell states. Interestingly, we discovered and named IFNhi T, a new T cell subpopulation that highly expressed Interferon Signaling Associated Genes (ISAGs). We further enriched IFNhi T by FACS sorting of BST2 for scRNA-seq analyses. IFNhi T cluster disappeared on tSNE plot after removing ISAGs, while IFNhi T cluster showed up by tSNE analyses of ISAGs alone, indicating ISAGs are the major contributor of IFNhi T cluster. BST2+ T cells and BST2− T cells showing different efficiencies of T cell activation indicates high level of ISAGs may contribute to quick immune responses.


2016 ◽  
Author(s):  
Shaked Afik ◽  
Kathleen B. Yates ◽  
Kevin Bi ◽  
Samuel Darko ◽  
Jernej Godec ◽  
...  

ABSTRACTThe T cell compartment must contain diversity in both TCR repertoire and cell state to provide effective immunity against pathogens1,2. However, it remains unclear how differences in the TCR contribute to heterogeneity in T cell state at the single cell level because most analysis of the TCR repertoire has, to date, aggregated information from populations of cells. Single cell RNA-sequencing (scRNA-seq) can allow simultaneous measurement of TCR sequence and global transcriptional profile from single cells. However, current protocols to directly sequence the TCR require the use of long sequencing reads, increasing the cost and decreasing the number of cells that can be feasibly analyzed. Here we present a tool that can efficiently extract TCR sequence information from standard, short-read scRNA-seq libraries of T cells: TCR Reconstruction Algorithm for Paired-End Single cell (TRAPeS). We apply it to investigate heterogeneity in the CD8+T cell response in humans and mice, and show that it is accurate and more sensitive than previous approaches3,4. We applied TRAPeS to single cell RNA-seq of CD8+T cells specific for a single epitope from Yellow Fever Virus5. We show that the recently-described "naive-like" memory population of YFV-specific CD8+T cells have significantly longer CDR3 regions and greater divergence from germline sequence than do effector-memory phenotype CD8+T cells specific for YFV. This suggests that TCR usage contributes to heterogeneity in the differentiation state of the CD8+T cell response to YFV. TRAPeS is publicly available, and can be readily used to investigate the relationship between the TCR repertoire and cellular phenotype.


2021 ◽  
Author(s):  
Manman Dai ◽  
Min Feng ◽  
Ziwei Li ◽  
Weisan Chen ◽  
Ming Liao

ABSTRACTChicken peripheral blood lymphocytes (PBLs) exhibit wide-ranging cell types, but current understanding of their subclasses, immune cell classification, and function is limited and incomplete. Previously, we found that viremia caused by avian leukosis virus subgroup J (ALV‐J) was eliminated by 21 days post infection (DPI), accompanied by increased CD8+ T cell ratio in PBLs and low antibody levels. Here we performed single-cell RNA sequencing (scRNA-seq) of PBLs in ALV-J infected and control chickens at 21 DPI to determine chicken PBL subsets and their specific molecular and cellular characteristics, before and after viral infection. Eight cell clusters and their potential marker genes were identified in chicken PBLs. T cell populations (clusters 6 and 7) had the strongest response to ALV-J infection at 21 DPI, based on detection of the largest number of differentially expressed genes (DEGs). T cell populations of clusters 6 and 7 could be further divided into four subsets: activated CD4+ T cells (cluster A0), Th1-like cells (cluster A2), Th2-like cells (cluster A1), and cytotoxic CD8+ T cells. Hallmark genes for each T cell subset response to viral infection were initially identified. Furthermore, pseudotime analysis results suggested that chicken CD4+ T cells could potentially differentiate into Th1-like and Th2-like cells. Moreover, ALV-J infection probably induced CD4+ T cell differentiation into Th1-like cells in which the most immune related DEGs were detected. With respect to the control group, ALV-J infection also had an obvious impact on PBL cell composition. B cells showed inconspicuous response and their numbers decreased in PBLs of the ALV-J infected chickens at 21 DPI. Percentages of cytotoxic Th1-like cells and CD8+ T cells were increased in the T cell population of PBLs from ALV-J infected chicken, which were potentially key mitigating factors against ALV-J infection. More importantly, our results provided a rich resource of gene expression profiles of chicken PBL subsets for a systems-level understanding of their function in homeostatic condition as well as in response to viral infection.


2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi9-vi9
Author(s):  
Oleg Yegorov ◽  
Changlin Yang ◽  
Maryam Rahman ◽  
Ashley Ghiaseddin ◽  
Anjelika Dechkovskaia ◽  
...  

Abstract BACKGROUND The application of single cell sequencing as a novel immune monitoring platform can enhance the ability to interrogate at unprecedented depth the single-cell level dynamic phenotypic and functional attributes of immune cells in patients undergoing cancer immunotherapy treatment. We applied single-cell sequencing analysis of PBMCs in a patient with newly-diagnosed GBM enrolled on the ATTAC II clinical trial (FDA IND BB-16530) who experienced a sustained complete radiographic response to autologous CMV pp65-LAMP RNA-pulsed DC vaccines plus GM-CSF and tetanus-diphtheria booster administered during adjuvant cycles of dose-intensified TMZ. METHODS We constructed 5’ gene expression libraries and T cell receptor enriched libraries for 10x Genomics single-cell sequencing, generated from PBMCs collected prior to and during patient immunization using dendritic cells loaded with RNA encoding the CMV matrix protein pp65 conjugated with the lysosomal associated membrane protein (LAMP) sequence. RESULTS RNA-Seq revealed dynamic changes in immune cell subsets over course of first three vaccines, including increases in cytotoxic T cells and memory T cell subsets. Increased markers of T cell activation were observed during vaccination including enhanced T cell signaling pathways, proliferative signals, and cytokine production. We found that proportion of cytotoxic T cells increased from 3.42% to 11.74% in whole PBMCs after immunization. Surprisingly, we observed very high level of frequency natural killer T (NKT) cells comprising 4.75 % of this patient’s PBMCs at baseline. After three DC vaccines, the level of NKT cells in PBMC increased up to 10%. CONCLUSIONS Single cell RNA sequencing of a patient with sustained complete response to DC vaccination during cycles of dose-intensified TMZ reveals dynamic immune activation and expansion within the cytotoxic T cells and NKT compartments. These results emphasize the importance of subset specific profiling to achieve higher resolution in monitoring immune responses compared with bulk expression profiling in patients receiving immunotherapeutic treatment.


2021 ◽  
Vol 12 ◽  
Author(s):  
Katharina Rindler ◽  
Wolfgang M. Bauer ◽  
Constanze Jonak ◽  
Matthias Wielscher ◽  
Lisa E. Shaw ◽  
...  

Mycosis fungoides (MF) is the most common primary cutaneous T-cell lymphoma. While initially restricted to the skin, malignant cells can appear in blood, bone marrow and secondary lymphoid organs in later disease stages. However, only little is known about phenotypic and functional properties of malignant T cells in relationship to tissue environments over the course of disease progression. We thus profiled the tumor micromilieu in skin, blood and lymph node in a patient with advanced MF using single-cell RNA sequencing combined with V-D-J T-cell receptor sequencing. In skin, we identified clonally expanded T-cells with characteristic features of tissue-resident memory T-cells (TRM, CD69+CD27-NR4A1+RGS1+AHR+). In blood and lymph node, the malignant clones displayed a transcriptional program reminiscent of a more central memory-like phenotype (KLF2+TCF7+S1PR1+SELL+CCR7+), while retaining tissue-homing receptors (CLA, CCR10). The skin tumor microenvironment contained potentially tumor-permissive myeloid cells producing regulatory (IDO1) and Th2-associated mediators (CCL13, CCL17, CCL22). Given their expression of PVR, TNFRSF14 and CD80/CD86, they might be under direct control by TIGIT+CTLA4+CSF2+TNFSF14+ tumor cells. In sum, this study highlights the adaptive phenotypic and functional plasticity of MF tumor cell clones. Thus, the TRM-like phenotype enables long-term skin residence of MF cells. Their switch to a TCM-like phenotype with persistent skin homing molecule expression in the circulation might explain the multi-focal nature of MF.


2016 ◽  
Vol 2016 ◽  
pp. 1-16 ◽  
Author(s):  
José E. Belizário ◽  
Wesley Brandão ◽  
Cristiano Rossato ◽  
Jean Pierre Peron

Our understanding of how thymocytes differentiate into many subtypes has been increased progressively in its complexity. At early life, the thymus provides a suitable microenvironment with specific combination of stromal cells, growth factors, cytokines, and chemokines to induce the bone marrow lymphoid progenitor T-cell precursors into single-positive CD4+and CD8+T effectors and CD4+CD25+T-regulatory cells (Tregs). At postthymic compartments, the CD4+T-cells acquire distinct phenotypes which include the classical T-helper 1 (Th1), T-helper 2 (Th2), T-helper 9 (Th9), T-helper 17 (Th17), follicular helper T-cell (Tfh), and induced T-regulatory cells (iTregs), such as the regulatory type 1 cells (Tr1) and transforming growth factor-β- (TGF-β-) producing CD4+T-cells (Th3). Tregs represent only a small fraction, 5–10% in mice and 1-2% in humans, of the overall CD4+T-cells in lymphoid tissues but are essential for immunoregulatory circuits mediating the inhibition and expansion of all lineages of T-cells. In this paper, we first provide an overview of the major cell-intrinsic developmental programs that regulate T-cell lineage fates in thymus and periphery. Next, we introduce the SV40 immortomouse as a relevant mice model for implementation of new approaches to investigate thymus organogenesis, CD4 and CD8 development, and thymus cells tumorogenesis.


2020 ◽  
Vol 8 (1) ◽  
pp. e000873 ◽  
Author(s):  
Mateusz Gliwiński ◽  
Dorota Iwaszkiewicz-Grześ ◽  
Anna Wołoszyn-Durkiewicz ◽  
Monika Tarnowska ◽  
Magdalena Żalińska ◽  
...  

ObjectiveHere we looked for possible mechanisms regulating the progression of type 1 diabetes mellitus (T1DM). In this disease, autoaggressive T cells (T conventional cells, Tconvs) not properly controlled by T regulatory cells (Tregs) destroy pancreatic islets.Research design and methodsWe compared the T-cell compartment of patients with newly diagnosed T1DM (NDT1DM) with long-duration T1DM (LDT1DM) ones. The third group consisted of patients with LDT1DM treated previously with polyclonal Tregs (LDT1DM with Tregs). We have also looked if the differences might be dependent on the antigen specificity of Tregs expanded for clinical use and autologous sentinel Tconvs.ResultsPatients with LDT1DM were characterized by T-cell immunosenescence-like changes and expansion of similar vβ/T-cell receptor (TCR) clones in Tconvs and Tregs. The treatment with Tregs was associated with some inhibition of these effects. Patients with LDT1DM possessed an increased percentage of various proinsulin-specific T cells but not GAD65-specific ones. The percentages of all antigen-specific subsets were higher in the expansion cultures than in the peripheral blood. The proliferation was more intense in proinsulin-specific Tconvs than in specific Tregs but the levels of some proinsulin-specific Tregs were exceptionally high at baseline and remained higher in the expanded clinical product than the levels of respective Tconvs in sentinel cultures.ConclusionsT1DM is associated with immunosenescence-like changes and reduced diversity of T-cell clones. Preferential expansion of the same TCR families in both Tconvs and Tregs suggests a common trigger/autoantigen responsible. Interestingly, the therapy with polyclonal Tregs was associated with some inhibition of these effects. Proinsulin-specific Tregs appeared to be dominant in the immune responses in patients with T1DM and probably associated with better control over respective autoimmune Tconvs.Trial registration numberEudraCT 2014-004319-35.


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