Molecular cytometry for comprehensive immune profiling.

Molecular cytometry refers to a group of high-parameter technologies for single-cell analysis that share the following traits: (1) combined (multimodal) measurement of protein and transcripts, (2) medium throughput (10-100K cells), and (3) the use of oligonucleotide-tagged antibodies to detect protein expression. The platform can measure over 100 proteins and either hundreds of targeted genes or the whole transcriptome, on a cell-by-cell basis. It is currently one of the most powerful technologies available for immune monitoring. Here, we describe the technology platform (which includes CITE-Seq, REAP-Seq, and AbSeq), provide guidance for its optimization, and discuss advantages and limitations. Finally, we provide some vignettes from studies that demonstrate the application and potential insight that can be gained from molecular cytometry studies.

Corrigendum: Tumor infiltrating T cell states and checkpoint inhibitor expression in hepatic and pancreatic malignancies.

[This corrects the article DOI: 10.3389/fimmu.2023.1067352.].

Interferon alfa-2b in patients with low-grade lymphomatoid granulomatosis and chemotherapy with DA-EPOCH-R in patients with high-grade lymphomatoid granulomatosis: an open-label, single-centre, phase 2 trial.

BACKGROUND: Lymphomatoid granulomatosis is a rare Epstein-Barr virus-associated B-cell lymphoproliferative disorder with a median overall survival of less than 2 years. In this study, we hypothesised that low-grade lymphomatoid granulomatosis is immune-dependent and high-grade lymphomatoid granulomatosis is immune-independent. On the basis of this hypothesis, we investigated the activity and safety of new treatment with immunotherapy in patients with low-grade disease and standard chemotherapy in patients with high-grade disease. METHODS: In this open-label, single-centre, phase 2 trial, we enrolled patients aged 12 years or older with untreated, or relapsed or refractory lymphomatoid granulomatosis at the National Cancer Institute (National Institutes of Health, Bethesda, MD, USA). Patients with low-grade disease received dose-escalated interferon alfa-2b, starting at 7·5 million international units subcutaneously three times per week for up to 1 year past best response, and patients with high-grade disease received six cycles every 3 weeks of intravenous, dose-adjusted etoposide, prednisone, vincristine, cyclophosphamide, doxorubicin, and rituximab (DA-EPOCH-R). Starting doses were 50 mg/m2 per day as a continuous intravenous infusion from day 1 to day 4 (96 h) for etoposide; 60 mg/m2 twice daily by mouth from day 1 to day 5 for prednisone; 0·4 mg/m2 per day as a continuous intravenous infusion from day 1 to day 4 (96 h) for vincristine; 750 mg/m2 intravenous on day 5 for cyclophosphamide; 10 mg/m2 per day as a continuous intravenous infusion from day 1 to day 4 (96 h) for doxorubicin; and 375 mg/m2 intravenous on day 1 for rituximab. The doses of doxorubicin, etoposide, and cyclophosphamide were adjusted up or down on the basis of neutrophil and platelet nadirs. Patients with residual or progressive disease after initial therapy crossed over to alternative therapy. The primary endpoint was the proportion of patients who had an overall response and the 5-year progression-free survival after initial or cross-over treatment. Analysis of response included all participants who underwent restaging imaging; safety analysis included all patients who received any dose of study drugs. The trial is open for enrolment and is registered at ClinicalTrials.gov, NCT00001379. FINDINGS: 67 patients were enrolled between Jan 10, 1991, and Sept 5, 2019 (42 [63%] were male). 45 patients received initial treatment with interferon alfa-2b (16 of whom crossed over to DA-EPOCH-R) and 18 received initial treatment with DA-EPOCH-R (eight of whom crossed over to interferon alfa-2b); four underwent surveillance only. After initial treatment with interferon alfa-2b, the overall response was 64% (28 of 44 evaluable patients) with 61% (27 of 44) having a complete response, whereas, after cross-over treatment with interferon alfa-2b, the overall response was 63% (five of eight evaluable patients) with 50% (four of eight) having a complete response. After initial treatment with DA-EPOCH-R, the overall response was 76% (13 of 17 evaluable patients) with 47% (eight of 17) having a complete response, whereas, after cross-over treatment with DA-EPOCH-R, the overall response was 67% (ten of 15 evaluable patients) with 47% (seven of 15) having a complete response. 5-year progression-free survival was 48·5% (95% CI 33·2-62·1) after initial treatment with interferon alfa-2b, 50·0% (15·2-77·5) after cross-over treatment with interferon alfa-2b, 25·4% (8·2-47·2) after initial treatment with DA-EPOCH-R, and 62·5% (34·9-81·1) after cross-over treatment with DA-EPOCH-R. The most common grade 3 or worse adverse events in patients treated with interferon alfa-2b included neutropenia (27 [53%] of 51 patients), lymphopenia (24 [47%]), and leukopenia (24 [47%]). The four most common grade 3 or worse adverse events in patients treated with DA-EPOCH-R included neutropenia (29 [88%] of 33 patients), leukopenia (28 [85%]), infection (18 [55%]), and lymphopenia (17 [52%]). Serious adverse events occurred in 13 (25%) of 51 patients receiving treatment with interferon alfa-2b and 21 (64%) of 33 patients receiving DA-EPOCH-R, with five treatment-related deaths: one thromboembolic, one infection, and one haemophagocytic syndrome with interferon alfa-2b, and one infection and one haemophagocytic syndrome with DA-EPOCH-R. INTERPRETATION: Interferon alfa-2b is efficacious for treating low-grade lymphomatoid granulomatosis and hence reducing progression to high-grade disease, whereas patients with high-grade lymphomatoid granulomatosis showed expected responses to chemotherapy. Uncontrolled immune regulation of Epstein-Barr virus is hypothesised to result in the emergence of low-grade disease after chemotherapy, for which treatment with interferon alfa-2b is efficacious. FUNDING: Intramural Research Programs of the National Cancer Institute and National Institute of Allergy and Infectious Diseases, National Institutes of Health.

Tumor infiltrating T cell states and checkpoint inhibitor expression in hepatic and pancreatic malignancies.

Hepato-pancreatico-biliary (HPB) malignancies are difficult-to-treat and continue to to have a high mortality and significant therapeutic resistance to standard therapies. Immune oncology (IO) therapies have demonstrated efficacy in several solid malignancies when combined with chemotherapy, whereas response rates in pancreatic ductal adenocarcinoma (PDA) are poor. While promising in hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA), there remains an unmet need to fully leverage IO therapies to treat HPB tumors. We therefore defined T cell subsets in the tumor microenvironment of HPB patients utilizing a novel, multiparameter flow cytometry and bioinformatics analysis. Our findings quantify the T cell phenotypic states in relation to checkpoint receptor expression. We demonstrate the presence of CD103+ tissue resident memory T cells (TRM), CCR7+ central memory T cells, and CD57+ terminally differentiated effector cells across all HPB cancers, while the anti-tumor function was dampened by expression of multiple co-inhibitory checkpoint receptors. Terminally exhausted T cells lacking co-stimulatory receptors were more prevalent in PDA, whereas partially exhausted T cells expressing both co-inhibitory and co-stimulatory receptors were most prevalent in HCC, especially in early stage. HCC patients had significantly higher TRM with a phenotype that could confer restored activation in response to immune checkpoint therapies. Further, we found a lack of robust alteration in T cell activation state or checkpoint expression in response to chemotherapy in PDA patients. These results support that HCC patients might benefit most from combined checkpoint therapies, whereas efforts other than cytotoxic chemotherapy will likely be necessary to increase overall T cell activation in CCA and PDA for future clinical development.

Single cell multiomic analysis of T cell exhaustion in vitro.

T-cell activation is a key step in the amplification of an immune response. Over the course of an immune response, cells may be chronically stimulated, with some proportion becoming exhausted; an enormous number of molecules are involved in this process. There remain a number of questions about the process, namely: (1) what degree of heterogeneity and plasticity do T-cells exhibit during stimulation? (2) how many unique cell states define chronic stimulation? and (3) what markers discriminate activated from exhausted cells? We addressed these questions by performing single-cell multiomic analysis to simultaneously measure expression of 38 proteins and 399 genes in human T cells expanded in vitro. This approach allowed us to study -with unprecedented depth-how T cells change over the course of chronic stimulation. Comprehensive immunophenotypic and transcriptomic analysis at day 0 enabled a refined characterization of T-cell maturational states and the identification of a donor-specific subset of terminally differentiated T-cells that would have been otherwise overlooked using canonical cell classification schema. As expected, activation downregulated naïve-cell markers and upregulated effector molecules, proliferation regulators, co-inhibitory and co-stimulatory receptors. Our deep kinetic analysis further revealed clusters of proteins and genes identifying unique states of activation, defined by markers temporarily expressed upon 3 days of stimulation (PD-1, CD69, LTA), markers constitutively expressed throughout chronic activation (CD25, GITR, LGALS1), and markers uniquely up-regulated upon 14 days of stimulation (CD39, ENTPD1, TNFDF10); expression of these markers could be associated with the emergence of short-lived cell types. Notably, different ratios of cells expressing activation or exhaustion markers were measured at each time point. These data reveal the high heterogeneity and plasticity of chronically stimulated T cells. Our study demonstrates the power of a single-cell multiomic approach to comprehensively characterize T-cells and to precisely monitor changes in differentiation, activation, and exhaustion signatures during cell stimulation.

A Cytometrist's Guide to Coordinating and Performing Effective COVID-19 Research.

Cytometry is playing a crucial role in addressing the COVID-19 pandemic. In this commentary-written by a variety of stakeholders in the cytometry, immunology, and infectious disease communities-we review cytometry's role in the COVID-19 response and discuss workflow issues critical to planning and executing effective research in this emerging field. We discuss sample procurement and processing, biosafety, technology options, data sharing, and the translation of research findings into clinical environments. © 2020 International Society for Advancement of Cytometry.

Nivolumab and ipilimumab are associated with distinct immune landscape changes and response-associated immunophenotypes.

BACKGROUNDThe reshaping of the immune landscape by nivolumab (NIVO) and ipilimumab (IPI) and its relation to patient outcomes is not well described.METHODSWe used high-parameter flow cytometry and a computational platform, CytoBrute, to define immunophenotypes of up to 15 markers to assess peripheral blood samples from metastatic melanoma patients receiving sequential NIVO > IPI or IPI > NIVO (Checkmate-064).RESULTSThe 2 treatments were associated with distinct immunophenotypic changes and had differing profiles associated with response. Only 2 immunophenotypes were shared but had opposing relationships to response/survival. To understand the impact of sequential treatment on response/survival, phenotypes that changed after the initial treatment and differentiated response in the other cohort were identified. Immunophenotypic changes occurring after NIVO were predominately associated with response to IPI > NIVO, but changes occurring after IPI were predominately associated with progression after NIVO > IPI. Among these changes, CD4+CD38+CD39+CD127-GARP- T cell subsets were increased after IPI treatment and were negatively associated with response/survival for the NIVO > IPI cohort.CONCLUSIONCollectively, these data suggest that the impact of IPI and NIVO on the immunophenotypic landscape of patients is distinct and that the impact of IPI may be associated with resistance to subsequent NIVO therapy, consistent with poor outcomes in the IPI > NIVO cohort of Checkmate-064.

High-Parameter Single-Cell Analysis.

Thousands of transcripts and proteins confer function and discriminate cell types in the body. Using high-parameter technologies, we can now measure many of these markers at once, and multiple platforms are now capable of analysis on a cell-by-cell basis. Three high-parameter single-cell technologies have particular potential for discovering new biomarkers, revealing disease mechanisms, and increasing our fundamental understanding of cell biology. We review these three platforms (high-parameter flow cytometry, mass cytometry, and a new class of technologies called integrated molecular cytometry platforms) in this article. We describe the underlying hardware and instrumentation, the reagents involved, and the limitations and advantages of each platform. We also highlight the emerging field of high-parameter single-cell data analysis, providing an accessible overview of the data analysis process and choice of tools.

A deadly dance: the choreography of host-pathogen interactions, as revealed by single-cell technologies.

Pathogens have numerous mechanisms by which they replicate within a host, who in turn responds by developing innate and adaptive immune countermeasures to limit disease. The advent of high-content single-cell technologies has facilitated a greater understanding of the properties of host cells harboring infection, the host's pathogen-specific immune responses, and the mechanisms pathogens have evolved to escape host control. Here we review these advances and argue for greater inclusion of higher resolution single-cell technologies into approaches for defining immune evasion mechanisms by pathogens.

What to expect when you're expecting.

Applying systems immunology to study human pregnancy.

Simultaneous epitope and transcriptome measurement in single cells.

High-throughput single-cell RNA sequencing has transformed our understanding of complex cell populations, but it does not provide phenotypic information such as cell-surface protein levels. Here, we describe cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq), a method in which oligonucleotide-labeled antibodies are used to integrate cellular protein and transcriptome measurements into an efficient, single-cell readout. CITE-seq is compatible with existing single-cell sequencing approaches and scales readily with throughput increases.

Basic Multicolor Flow Cytometry.

Multicolor flow cytometry is a rapidly evolving technology that uses multiple fluorescent markers to identify and characterize cellular subpopulations of interest, allowing rapid analysis on tens of thousands of cells per second, with the possibility of isolating pure, viable populations by cell sorting for further experimentation. This unit covers the tools needed by the beginning immunologist to plan and run multicolor experiments, with information on fluorochromes and their characteristics, spectral spillover, compensation and spread, instrument and reagent variables, and the basic elements of multicolor panel design. Protocols to quantify and maximize sensitivity by titration of reagents and optimization of instrument settings, as well as basic surface and intracellular cell staining, are included. © 2017 by John Wiley & Sons, Inc.

Highly Multiplexed, Single Cell Transcriptomic Analysis of T-Cells by Microfluidic PCR.

Recently, technologies have been developed to measure expression of 96 (or more) mRNA transcripts at once from a single cell. Here we describe methods and important considerations for use of Fluidigm's BioMark platform for multiplexed single cell gene expression. We describe how to qualify primer/probes, select genes to examine in 96-parameter panels, perform the reverse transcription/cDNA synthesis step, and operate the instrument. In addition, we describe data analysis considerations. This technology has enormous value for characterizing the heterogeneity of T-cells, thereby providing a useful tool for immune monitoring.

A simple tube adapter to expedite and automate thawing of viably frozen cells.

Although cryopreserved cell specimens are used throughout biomedical research, the process for thawing samples is labor-intensive and prone to error. Here we describe a small laboratory device that couples an uncapped vial of frozen cells to a conical tube containing warm cell culture media. The entire complex is loaded directly into a centrifuge; within 5min, cells are thawed and diluted out of toxic cryopreservation medium. The recovery and viability of cells are slightly reduced compared to the common (traditional) method. However, antigen-specific T-cell function is not affected. Since no technician time is required (beyond uncapping of vials), our device allows the parallel processing of as many samples as a centrifuge can hold (up to 96, in some models). Moreover, since the samples are not thawed manually in a water bath, the problems associated with technician-to-technician differences in sample handling are minimized, as is the potential for contamination. Importantly, the elimination of substantial labor involving subjective decisions standardizes this process and can reduce variability in results from cryopreserved specimens.

flowClean: Automated identification and removal of fluorescence anomalies in flow cytometry data.

Modern flow cytometry systems can be coupled to plate readers for high-throughput acquisition. These systems allow hundreds of samples to be analyzed in a single day. Quality control of the data remains challenging, however, and is further complicated when a large number of parameters is measured in an experiment. Our examination of 29,228 publicly available FCS files from laboratories worldwide indicates 13.7% have a fluorescence anomaly. In particular, fluorescence measurements for a sample over the collection time may not remain stable due to fluctuations in fluid dynamics; the impact of instabilities may differ between samples and among parameters. Therefore, we hypothesized that tracking cell populations (which represent a summary of all parameters) in centered log ratio space would provide a sensitive and consistent method of quality control. Here, we present flowClean, an algorithm to track subset frequency changes within a sample during acquisition, and flag time periods with fluorescence perturbations leading to the emergence of false populations. Aberrant time periods are reported as a new parameter and added to a revised data file, allowing users to easily review and exclude those events from further analysis. We apply this method to proof-of-concept datasets and also to a subset of data from a recent vaccine trial. The algorithm flags events that are suspicious by visual inspection, as well as those showing more subtle effects that might not be consistently flagged by investigators reviewing the data manually, and out-performs the current state-of-the-art. flowClean is available as an R package on Bioconductor, as a module on the free-to-use GenePattern web server, and as a plugin for FlowJo X. © 2016 International Society for Advancement of Cytometry.