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1. Blinatumomab-induced T cell activation at single cell transcriptome resolution

Author

Yi Huo, Zhen Sheng, Daniel R. Lu, Daniel C. Ellwanger, Chi-Ming Li, Oliver Homann, Songli Wang, Hong Yin, and Ruibao Ren

Subjects
Bi-specific T-cell engager antibody, Acute B cell lymphoblastic leukemia, Blinatumomab, T cell activation, Single-cell RNA-Seq, TNFRSF4, Biotechnology, TP248.13-248.65, Genetics, QH426-470
Abstract

Abstract Background Bi-specific T-cell engager (BiTE) antibody is a class of bispecific antibodies designed for cancer immunotherapy. Blinatumomab is the first approved BiTE to treat acute B cell lymphoblastic leukemia (B-ALL). It brings killer T and target B cells into close proximity, activating patient’s autologous T cells to kill malignant B cells via mechanisms such as cytolytic immune synapse formation and inflammatory cytokine production. However, the activated T-cell subtypes and the target cell-dependent T cell responses induced by blinatumomab, as well as the mechanisms of resistance to blinatumomab therapy are largely unknown. Results In this study, we performed single-cell sequencing analysis to identify transcriptional changes in T cells following blinatumomab-induced T cell activation using single cells from both, a human cell line model and a patient-derived model of blinatumomab-mediated cytotoxicity. In total, the transcriptome of 17,920 single T cells from the cell line model and 2271 single T cells from patient samples were analyzed. We found that CD8+ effector memory T cells, CD4+ central memory T cells, naïve T cells, and regulatory T cells were activated after blinatumomab treatment. Here, blinatumomab-induced transcriptional changes reflected the functional immune activity of the blinatumomab-activated T cells, including the upregulation of pathways such as the immune system, glycolysis, IFNA signaling, gap junctions, and IFNG signaling. Co-stimulatory (TNFRSF4 and TNFRSF18) and co-inhibitory (LAG3) receptors were similarly upregulated in blinatumomab-activated T cells, indicating ligand-dependent T cell functions. Particularly, B-ALL cell expression of TNFSF4, which encodes the ligand of T cell co-stimulatory receptor TNFRSF4, was found positively correlated with the response to blinatumomab treatment. Furthermore, recombinant human TNFSF4 protein enhanced the cytotoxic activity of blinatumomab against B-ALL cells. Conclusion These results reveal a target cell-dependent mechanism of T-cell activation by blinatumomab and suggest that TNFSF4 may be responsible for the resistant mechanism and a potential target for combination therapy with blinatumomab, to treat B-ALL or other B-cell malignancies.

Published
2021
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2. Systematic comparison of high-throughput single-cell RNA-seq methods for immune cell profiling

Author

Tracy M. Yamawaki, Daniel R. Lu, Daniel C. Ellwanger, Dev Bhatt, Paolo Manzanillo, Vanessa Arias, Hong Zhou, Oh Kyu Yoon, Oliver Homann, Songli Wang, and Chi-Ming Li

Subjects
Single cell, Transcriptomics, Single-cell RNA-seq, High throughput sequencing, Immune-cell profiling, Biotechnology, TP248.13-248.65, Genetics, QH426-470
Abstract

Abstract Background Elucidation of immune populations with single-cell RNA-seq has greatly benefited the field of immunology by deepening the characterization of immune heterogeneity and leading to the discovery of new subtypes. However, single-cell methods inherently suffer from limitations in the recovery of complete transcriptomes due to the prevalence of cellular and transcriptional dropout events. This issue is often compounded by limited sample availability and limited prior knowledge of heterogeneity, which can confound data interpretation. Results Here, we systematically benchmarked seven high-throughput single-cell RNA-seq methods. We prepared 21 libraries under identical conditions of a defined mixture of two human and two murine lymphocyte cell lines, simulating heterogeneity across immune-cell types and cell sizes. We evaluated methods by their cell recovery rate, library efficiency, sensitivity, and ability to recover expression signatures for each cell type. We observed higher mRNA detection sensitivity with the 10x Genomics 5′ v1 and 3′ v3 methods. We demonstrate that these methods have fewer dropout events, which facilitates the identification of differentially-expressed genes and improves the concordance of single-cell profiles to immune bulk RNA-seq signatures. Conclusion Overall, our characterization of immune cell mixtures provides useful metrics, which can guide selection of a high-throughput single-cell RNA-seq method for profiling more complex immune-cell heterogeneity usually found in vivo.

Published
2021
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3. Blinatumomab-induced T cell activation at single cell transcriptome resolution

Author

Songli Wang, Zhen Sheng, Ruibao Ren, Daniel R. Lu, Chi-Ming Li, Yi Huo, Hong Yin, Oliver Homann, and Daniel C. Ellwanger

Subjects
Bi-specific T-cell engager antibody, LAG3, Blinatumomab, lcsh:QH426-470, medicine.medical_treatment, T cell, CD3, T-Lymphocytes, lcsh:Biotechnology, Immunology, Antineoplastic Agents, OX40 Ligand, Lymphocyte Activation, Biochemistry, CD19, Immunological synapse, 03 medical and health sciences, 0302 clinical medicine, Immune system, Cancer immunotherapy, TIGIT, lcsh:TP248.13-248.65, Antibodies, Bispecific, Genetics, medicine, Cytotoxic T cell, Humans, 030304 developmental biology, 0303 health sciences, biology, T cell activation, Acute B cell lymphoblastic leukemia, Cell Biology, Hematology, TNFRSF4, lcsh:Genetics, medicine.anatomical_structure, Granzyme, 030220 oncology & carcinogenesis, biology.protein, Cancer research, Transcriptome, CD8, Biotechnology, medicine.drug, Research Article, Single-cell RNA-Seq
Abstract

Introduction Blinatumomab, a bi-specific T cell engager (BiTE®) combining the VH and VL domains of two antibodies against human CD19 and CD3, has been approved by U.S. Food and Drug Administration (FDA) for the treatment of patients with relapsed or refractory B precursor ALL (r/r B-ALL) for its clinical benefit demonstrated in different clinical trials. Clinical trials have also shown that there are still patients refractory to blinatumomab. It is thus important to understand the resistance mechanisms. Blinatumomab connects patients' autologous T cells and target cells to form immunologic synapse which potently triggers the activation signaling cascades in T cells and guides T cells to recognize and induce perforin/granzyme-mediated lysis of CD19+ B-ALL cells. Previous studies showed blinatumomab-mediated cytotoxicity involves different T cell subpopulations. But response of each T cell subpopulation to blinatumomab treatment remained largely unknown. Methods and Results In this study, we used 10X Genomics based single cell RNA sequencing to analyze the transcriptome of single T cells before and after blinatumomab treatment. First, ex vivo blinatumomab cytotoxicity model was established, in which healthy PBMCs were used as effector cells and cocultured with target cells (RS4;11 cells or SUP-B15 cells) at an effector-to-target cell ratio of 10:1 with 0.1 ng/mL blinatumomab. Then, PBMCs and BMMCs from 2 B-ALL patients were cultured with 10 ng/mL blinatumomab. Cells from both ex vivo model and patient samples were sequenced using 10X Genomics platform. In total, transcriptome of 17920 single T cells from the ex vivo model and 2271 single T cells from patient sample were analyzed. Based on T cell trajectory analysis, we identified four distinct populations of blinatumomab-activated T cells, which were derived from CD8+ effector memory T (TEM) cells, CD4+ central memory (TCM) cells, naïve T cells and Tregs, respectively. The differentially expressed genes in activated clusters were analyzed to reflect T cell activation mechanisms. The result showed blinatumomab induced the upregulation of aerobic glycolysis pathway (PKM, PGAM1, ENO1, GAPDH and LDHA), cytoskeleton dynamics pathway (ACTD1, ACTB, NME1 and TUBA1B), IFN-responsive pathway (GBP1, PSME2, WARS, CXCL10 and STAT1), and the upregulation of well-known immune-related genes (TNFRSF4, TNFRSF18, LAG3, CD69, IL2RA, MIR155HG, BATF, SH2D2A, LTA, NFKBIA and NDFIP2). We found blinatumomab-activated CD8+ TEM cells showed stronger cytotoxic capability than other activated populations with specific production of cytotoxic factors (PRF1, IFNG and FASLG) and cytokines (CCL2, CCL3, CCL3L1, CCL4, CCL4L2, CCL8, XCL1, XCL2, TNFSF9 and TNFSF14). Last, differential gene expression analysis revealed that co-stimulatory (TNFRSF4,TNFRSF9 and TNFRSF18) and co-inhibitory receptors (LAG3 and TIGIT) were similarly up-regulated in clusters activated from memory and naïve T cells, indicating ligand dependent T cell functional outcomes induced by blinatumomab. Conclusion In summary, we used single cell sequencing to map the blinatumomab-mediated T cell activation state transition and reveal the molecular changes in different T cell subpopulations. Memory T cells, naïve T cells and Tregs were identified functional populations after blinatumomab treatment. CD8+ TEM accounted for the majority of blinatumomab-induced cytotoxicity. Furthermore, T cell co-regulatory receptors were identified as potential targets accountable for blinatumomab sensitivity or resistance mechanisms. The study demonstrated that the collected cellular transcriptional profiles can serve as resource to explore novel strategies to enhance the efficacy of blinatumomab. Disclosures Yin: Amgen: Employment. Huo:Amgen: Employment. Sheng:Amgen: Employment. Li:Amgen: Employment. Ellwanger:Amgen: Employment. Lu:Amgen: Employment. Homann:Amgen: Employment. Wang:Amgen: Employment. Ren:Ruijin hospital: Employment.

Published
2021

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