scholarly journals Single-cell transcriptome analysis of the immunosuppressive effect of differential expression of tumor PD-L1 on responding TCR-T cells

2020 ◽  
Author(s):  
Renpeng Ding ◽  
Shang Liu ◽  
Shanshan Wang ◽  
Huanyi Chen ◽  
Fei Wang ◽  
...  

AbstractPD-L1 expression levels in tumors do not consistently predict cancer patients’ response to PD-(L)1 inhibitors. We therefore evaluated how tumor PD-L1 levels affect the anti-PD-(L)1 efficacy and T cell function. We used MART-1-specific TCR-T cells (TCR-TMART-1) stimulated with MART-127-35 peptide-loaded MEL-526 tumor cells with different proportions of them expressing PD-L1 to perform cellular assays and high-throughput single-cell RNA sequencing. Compared to control T cells, TCR-TMART-1 were more sensitive to exhaustion and secreted lower pro-inflammatory but higher anti-inflammatory cytokines with increasing proportions of PD-L1+ tumor cells. The colocalization of T cells and tumor cells in gene clusters correlated negatively with the proportion of PD-L1+ tumor cells and positively with immune cell cytotoxicity. Moreover, elevated proportion of PD-L1+ tumor cells increased PD-L1 expression and decreased PD-1 expression on T cells and enhanced T cell death. The expression of PD-1 and PD-L1 in T cells and macrophages also correlated positively with COVID-19 severity.

2016 ◽  
Vol 94 (6) ◽  
pp. 604-611 ◽  
Author(s):  
Auda A Eltahla ◽  
Simone Rizzetto ◽  
Mehdi R Pirozyan ◽  
Brigid D Betz‐Stablein ◽  
Vanessa Venturi ◽  
...  

2019 ◽  
Author(s):  
Kyungsoo Kim ◽  
Seyeon Park ◽  
Seong Yong Park ◽  
Gamin Kim ◽  
Su Myeong Park ◽  
...  

ABSTRACTBackgroundT cells exhibit heterogeneous functional states in the tumor microenvironment. Immune checkpoint inhibitors (ICIs) can reinvigorate only the stem cell-like progenitor exhausted T cells, which suggests that inhibiting the exhaustion progress will improve the efficacy of immunotherapy. Thus, regulatory factors promoting T-cell exhaustion could serve as potential targets for delaying the process and improving ICI efficacy.MethodsWe analyzed the single-cell transcriptome data derived from human melanoma and non-small cell lung cancer (NSCLC) samples and classified the tumor-infiltrating (TI) CD8+ T-cell population based on PDCD1 (PD-1) levels, i.e. PDCD1-high and PDCD1-low cells. Additionally, we identified differentially expressed genes as candidate factors regulating intra-tumoral T-cell exhaustion. The co-expression of candidate genes with immune checkpoint (IC) molecules in the TI CD8+ T cells was confirmed by single-cell trajectory and flow-cytometry analyses. The loss-of-function effect of the candidate regulator was examined by a cell-based knockdown assay. The clinical effect of the candidate regulator was evaluated based on the overall survival and anti-PD-1 responses.ResultsWe retrieved many known factors for regulating T-cell exhaustion among the differentially expressed genes between PDCD1-high and PDCD1-low subsets of the TI CD8+ T cells in human melanoma and NSCLC. TOX was the only transcription factor (TF) predicted in both tumor types. TOX levels tend to increase as CD8+ T cells become more exhausted. Flow-cytometry analysis revealed a correlation between TOX expression and severity of intra-tumoral T-cell exhaustion. TOX knockdown in the human TI CD8+ T cells resulted in downregulation of PD-1, TIM-3, TIGIT, and CTLA-4, which suggests that TOX promotes intra-tumoral T-cell exhaustion by upregulating IC proteins in cancer. Finally, the TOX level in the TI T cells was found to be highly predictive of overall survival and anti-PD-1 efficacy in melanoma and NSCLC.ConclusionsWe predicted the regulatory factors involved in T-cell exhaustion using single-cell transcriptome profiles of human TI lymphocytes. TOX promoted intra-tumoral CD8+ T-cell exhaustion via upregulation of IC molecules. This suggested that TOX inhibition can potentially impede T-cell exhaustion and improve ICI efficacy. Additionally, TOX expression in the TI T cells can be used for patient stratification during anti-tumor treatments, including anti-PD-1 immunotherapy.


2021 ◽  
Author(s):  
Duanrui Liu ◽  
Jingyu Zhu ◽  
Zongming Wang ◽  
Yusong Fang ◽  
Mingjie Yuan ◽  
...  

Abstract Background: RNA N6-methyladenosine (m6A) modification plays a nonnegligible role in shaping individual tumor microenvironment (TME) characterizations. However, the landscape and relationship of m6A modification and TME cell infiltration remain unknown in gastroesophageal adenocarcinomas (GEA). Methods: We systematically examined the TME of GEA focusing on the distinct m6A modification patterns from the public databases. Intrinsic patterns of m6A modification were evaluated for associations with clinicopathological characteristics, underlying biological pathways, tumor immune cell infiltration, oncological outcomes and treatment responses. We generated a single-cell transcriptome atlas of the GEA sample inhouse to validate the role of the m6A modification pattern on TME.Results: We identified and validated the landscape of m6A regulators and tumor-infiltrating immune cells in GEA. Then, two distinct m6A modification patterns of GEA (cluster1/2 subgroup) were defined, and we correlated two subgroups with TME cell-infiltrating characteristics. Cluster2 subgroup correlates with a poorer prognosis, down-regulated PD-1 expression, higher risk scores and distinct immune cell infiltration. Additionally, PPI and WGCNA network analysis were integrated to identify key module genes closely related to immune infiltration of GEA to find immunotherapy markers. And COL4A1 and COL5A2 in brown module were significantly correlated to the prognosis, PD-1/L1 and CTLA-4 expression of GEA patients. Interesting, low COL5A2 expression was linked to an enhanced response to anti-PD-1 immunotherapy. Finally, a prognostic risk score was constructed using three m6A regulator-associated signatures that represented an independent prognosis factor for GEA. The single-cell transcriptome atlas of GEA sample validated the role of m6A modification pattern on TME and revealed that three m6A regulators are highly expressed in CD4+ T cells, CD8+ T cells, Tregs and Macrophages.Conclusions: Our work revealed m6A RNA methylation regulators are a type of vital participant in the malignant progression and TME diversity of GEA. m6A modification patterns of COL5A2 may be the potential biomarker contributes to predicting the response to anti-PD-1 immunotherapy.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Pingping Wang ◽  
Lifen Yao ◽  
Meng Luo ◽  
Wenyang Zhou ◽  
Xiyun Jin ◽  
...  

AbstractGiven the chronic inflammatory nature of Parkinson’s disease (PD), T cell immunity may be important for disease onset. Here, we performed single-cell transcriptome and TCR sequencing, and conducted integrative analyses to decode composition, function and lineage relationship of T cells in the blood and cerebrospinal fluid of PD. Combined expression and TCR-based lineage tracking, we discovered a large population of CD8+ T cells showing continuous progression from central memory to terminal effector T cells in PD patients. Additionally, we identified a group of cytotoxic CD4+ T cells (CD4 CTLs) remarkably expanded in PD patients, which derived from Th1 cells by TCR-based fate decision. Finally, we screened putative TCR–antigen pairs that existed in both blood and cerebrospinal fluid of PD patients to provide potential evidence for peripheral T cells to participate in neuronal degeneration. Our study provides valuable insights and rich resources for understanding the adaptive immune response in PD.


2021 ◽  
Vol 12 ◽  
Author(s):  
Liting Wu ◽  
Along Gao ◽  
Lan Li ◽  
Jianlin Chen ◽  
Jun Li ◽  
...  

Teleost fish anterior kidney (AK) is an important hematopoietic organ with multifarious immune cells, which have immune functions comparable to mammalian bone marrow. Myeloid and lymphoid cells locate in the AK, but the lack of useful specific gene markers and antibody-based reagents for the cell subsets makes the identification of the different cell types difficult. Single-cell transcriptome sequencing enables single-cell capture and individual library construction, making the study on the immune cell heterogeneity of teleost fish AK possible. In this study, we examined the transcriptional patterns of 11,388 AK leukocytes using 10× Genomics single-cell RNA sequencing (scRNA-seq). A total of 22 clusters corresponding to five distinct immune cell subsets were identified, which included B cells, T cells, granulocytes, macrophages, and dendritic cells (DCs). However, the subsets of myeloid cells (granulocytes, macrophages, and DCs) were not identified in more detail according to the known specific markers, even though significant differences existed among the clusters. Thereafter, we highlighted the B-cell subsets and identified them as pro/pre B cells, immature/mature B cells, activated B/plasmablasts, or plasma cells based on the different expressions of the transcription factors (TFs) and cytokines. Clustering of the differentially modulated genes by pseudo-temporal trajectory analysis of the B-cell subsets showed the distinct kinetics of the responses of TFs to cell conversion. Moreover, we classified the T cells and discovered that CD3+CD4−CD8−, CD3+CD4+CD8+, CD4+CD8−, and CD4−CD8+ T cells existed in AK, but neither CD4+CD8− nor CD4−CD8+ T cells can be further classified into subsets based on the known TFs and cytokines. Pseudotemporal analysis demonstrated that CD4+CD8− and CD4−CD8+ T cells belonged to different states with various TFs that might control their differentiation. The data obtained above provide a valuable and detailed resource for uncovering the leukocyte subsets in Nile tilapia AK, as well as more potential markers for identifying the myeloid and lymphoid cell types.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 22-23 ◽  
Author(s):  
Yuping Li ◽  
Xiaoqian Liu ◽  
Xuxiang Liu ◽  
Xiwei Wu ◽  
Alyssa Bouska ◽  
...  

Angioimmunoblastic T-cell lymphoma (AITL), the most frequent subtype of peripheral T-cell lymphoma (PTCL), is a neoplasm with characteristics of mature T follicular helper (TFH) cells. We and others have identified frequent (~75%) inactivating mutations in the TET2 (Ten-Eleven Translocation-2) gene in AITL. TET2 belongs to a 3 member family of TET dioxygenases that catalyze DNA demethylation by oxidation of 5-methyl-cytosine (5-mC) to 5-hydroxymethyl-cytosine (5-hmC) and further oxidative cytosine products. Thus, loss of function (LOF) of TET2 will cause aberrant genome hypermethylation and reduction in 5-hmC. Studies of the variant allele fraction (VAF) of TET2 mutants suggest that this mutation is a founding abnormality in AITL. However, how TET2 loss promotes the development of AITL is still unclear. To study LOF of TET2 in CD4 T-cell lymphomagenesis without the noise generated by other mutations in an established lymphoma, we generated a human TET2 knock-out (KO) CD4 T-cell model using CRISPR/Cas9 technology, which allows us to perform functional genomic studies by directly editing genes at their genomic loci. Whole transcriptome sequencing and single-cell transcriptome sequencing were used to study the cell evolution after KO. We generated multiple TET2 KO primary CD4 T-cell models using two different CRISPR/Cas9 methods. The first approach used the plasmid PX458-a, which expresses green fluorescent protein (GFP) fused Cas9 and guide RNA-a targeting TET2 exon 6, to electroporate CD4 T-cell from healthy donor F25. The second approach used homologous DNA repair (HDR) mediated knock-in (KI) of tandem GFP gene and a SV40 transcription stop signal to terminate TET2 expression at exon 3. Cas9/sgRNA-e RNP complex, along with a long DNA template (about 1.6 kb), was electroporated into CD4 T-cells from two healthy donors, F25 and M40. GFP-positive cells were sorted by FACS after electroporation and were considered to be edited cells. Edited CD4 T-cells were cultured in vitro with 50 U/ml IL-2, and stimulated regularly (every 7~10 days) with 1:1 ratio of anti-CD3/CD28 T activator beads. TET2 KO in these cells was confirmed by qRT-PCR, Sanger sequencing and Western blotting. Compared with wild-type (WT) CD4 T-cells under the same culture conditions, a lower level of 5-hmC in TET2 KO cells was observed, indicating successful editing of TET2. Compared to WT cells, KO cells had a higher growth rate, due to a lower apoptosis rate and a higher proliferation rate, by Annexin V staining, EdU staining, and MTS experiments. The growth of KO cells or WT cells was still dependent on IL-2 and T activator beads stimulation. All batches of KO cells, generated by different guide RNAs or from different donors, showed a much longer life span than WT cells, which usually lived for 3~4 months, but KO cells can keep proliferating longer than one year. We also performed TCR analysis on these cell samples. Both WT and KO cells demonstrated oligoclonality when examined at Day 40 (40D, early stage) and TET2 KO cells showed a dominant clone by Day 90 (90D, late stage). We performed single-cell transcriptome analysis on M40 KO vs. WT cells, at 40D and 90D. KO90D cells had a low TCR diversity with the dominant population representing ~88% of cells (TRAV9-2,TRBV5-1). From single-cell transcriptome analysis, cell clustering profiles were very distinctive in these 4 cell populations analyzed (Figure 1A) and these clusters had unique gene expression profiles (Figure 1B). Cluster 6 was prominent in KO90D but almost absent in WT90D, whereas the reverse was true for clusters 1 and 5. From pathway analysis, KO90D cells showed a higher expression of signatures associated with proliferation, cell cycle and chemokine signaling and lower histidine and tryptophan metabolism signatures. Sanger sequencing showed a 79 bp indel in addition to the GFP KI allele in KO90D cells, demonstrated the homozygous deletion of TET2 on these cells. Similar results were observed in F25 TET2 KO cells by plasmid PX458-a. This indicated the selection of homozygously deleted TET2 cells in long-term culture. However, clonal evolution is highly dynamic and a minor clone in KO40D cells may become the dominant clone in KO90D cells. Comparison of the 5-mC and 5-hmC profiles between KO and WT cells are being conducted to elucidate epigenetic alterations that are associated with the functional alterations and predisposition to AITL lymphomagenesis. Figure Disclosures No relevant conflicts of interest to declare.


2019 ◽  
Author(s):  
Shaobo Wang ◽  
Qiong Zhang ◽  
Hui Hui ◽  
Kriti Agrawal ◽  
Maile Ann Young Karris ◽  
...  

Chronic infection with human immunodeficiency virus (HIV) can cause progressive loss of immune cell function, or exhaustion, which impairs control of virus replication. However, little is known about the development and maintenance, as well as heterogeneity of immune cell exhaustion. Here, we investigated the effects of HIV infection on immune cell exhaustion at the transcriptomic level by analyzing single-cell RNA sequencing of peripheral blood mononuclear cells from two healthy subjects (15,121 cells) and six HIV-infected donors (28,610 cells). We identified nine immune cell clusters and eight T cell subclusters according to their unique gene expression programs; three of these (exhausted CD4+ and CD8+ T cells and interferon-responsive CD8+ T cells) were detected only in samples from HIV-infected donors. An inhibitory receptor KLRG1 was identified in the exhausted T cell populations and further characterized in HIV infected individuals. We identified a novel HIV-1 specific exhausted CD8+ T cell population expressing KLRG1, TIGIT, and T-betdimEomeshi markers. Ex-vivo antibody blockade of KLRG1 restored the function of HIV-specific exhausted CD8+ T cells demonstrating the contribution of KLRG1+ population to T cell exhaustion and providing a novel target for developing immunotherapy to treat HIV chronic infection. Analysis of gene signatures also revealed impairment of B cell and NK cell function in HIV-infected donors. These data provide a comprehensive analysis of gene signatures associated with immune cell exhaustion during HIV infection, which could be useful in understanding exhaustion mechanisms and developing new cure therapies.


2022 ◽  
Vol 12 ◽  
Author(s):  
Ju Liu ◽  
Xiaoyan Yang ◽  
Jiali Pan ◽  
Zhihua Wei ◽  
Peidong Liu ◽  
...  

Relapsing-remitting multiple sclerosis (RRMS) and myelin oligodendrocyte glycoprotein (MOG) antibody-associated disease (MOGAD) are inflammatory demyelinating diseases of the central nervous system (CNS). Due to the shared clinical manifestations, detection of disease-specific serum antibody of the two diseases is currently considered as the gold standard for the diagnosis; however, the serum antibody levels are unpredictable during different stages of the two diseases. Herein, peripheral blood single-cell transcriptome was used to unveil distinct immune cell signatures of the two diseases, with the aim to provide predictive discrimination. Single-cell RNA sequencing (scRNA-seq) was conducted on the peripheral blood from three subjects, i.e., one patient with RRMS, one patient with MOGAD, and one patient with healthy control. The results showed that the CD19+ CXCR4+ naive B cell subsets were significantly expanded in both RRMS and MOGAD, which was verified by flow cytometry. More importantly, RRMS single-cell transcriptomic was characterized by increased naive CD8+ T cells and cytotoxic memory-like Natural Killer (NK) cells, together with decreased inflammatory monocytes, whereas MOGAD exhibited increased inflammatory monocytes and cytotoxic CD8 effector T cells, coupled with decreased plasma cells and memory B cells. Collectively, our findings indicate that the two diseases exhibit distinct immune cell signatures, which allows for highly predictive discrimination of the two diseases and paves a novel avenue for diagnosis and therapy of neuroinflammatory diseases.


2021 ◽  
pp. annrheumdis-2021-220209
Author(s):  
Alyxzandria M Gaydosik ◽  
Tracy Tabib ◽  
Robyn Domsic ◽  
Dinesh Khanna ◽  
Robert Lafyatis ◽  
...  

ObjectivesAlthough T cells have been implicated in the pathogenesis of systemic sclerosis (SSc), a comprehensive study of T-cell-mediated immune responses in the affected skin of patients with progressive SSc is lacking. Droplet-based single-cell transcriptome analysis of SSc skin biopsies opens avenues for dissecting patient-specific T-cell heterogeneity, providing a basis for identifying novel gene expression related to functional pathways associated with severity of SSc skin disease.MethodsSingle-cell RNA sequencing was performed by droplet-based sequencing (10x Genomics), focusing on 3729 CD3+ lymphocytes (867 cells from normal and 2862 cells from SSc skin samples) from skin biopsies of 27 patients with active SSc and 10 healthy donors. Confocal immunofluorescence microscopy of progressive SSc skin samples validated transcriptional results and visualised spatial localisations of T-cell subsets.ResultsWe identified several subsets of recirculating and tissue-resident T cells in healthy and SSc skin that were associated with distinct signalling pathways. While most clusters shared a common gene expression signature between patients and controls, we identified a unique cluster of recirculating CXCL13+ T cells in SSc skin which expressed a T helper follicular-like gene expression signature and that appears to be poised to promote B-cell responses within the inflamed skin of patients.ConclusionsCurrent available therapies to reverse or even slow progression of SSc lead to broad killing of immune cells and consequent toxicities, including death. Identifying the precise immune mechanism(s) driving SSc pathogenesis could lead to innovative therapies that selectively target the aberrant immune response, resulting in better efficacy and less toxicity.


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